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Sustainability 2011, 3, 1452-1485; doi:10.3390/su3091452
sustainability
ISSN 2071-1050
www.mdpi.com/journal/sustainability
Article
Improving Nitrogen Use Efficiency in Crops for
Sustainable Agriculture
Bertrand Hirel 1,*, Thierry Tétu 2, Peter J. Lea 3 and Frédéric Dubois 2
1 Adaptation des Plantes à leur Environnement. Unité de Recherche 511, Institut Jean-Pierre Bourgin,
Institut National de la Recherche Agronomique, Centre de Versailles-Grignon, R.D. 10, F-78026
Versailles Cedex, France
2 Agrophysiologie, Ecophysiologie et Biologie Intégrative, A3900-AEB, Université de Picardie, 33
rue Saint Leu, F-80039 Amiens, France; E-Mails: thierry.tetu@u-picardie.fr (T.T.);
frederic.dubois@u-picardie.fr (F.D.)
3 Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK;
E-Mail: p.lea@lancaster.ac.uk
* Author to whom correspondence should be addressed; E-Mail: hirel@versailles.inra.fr;
Tel +33-1-30-83-30-89; Fax: +33-1-30-83-30-96.
Received: 4 May 2011; in revised form: 5 August 2011 / Accepted: 17 August 2011 /
Published: 7 September 2011
Abstract: In this review, we present the recent developments and future prospects of
improving nitrogen use efficiency (NUE) in crops using various complementary
approaches. These include conventional breeding and molecular genetics, in addition to
alternative farming techniques based on no-till continuous cover cropping cultures and/or
organic nitrogen (N) nutrition. Whatever the mode of N fertilization, an increased
knowledge of the mechanisms controlling plant N economy is essential for improving
NUE and for reducing excessive input of fertilizers, while maintaining an acceptable yield
and sufficient profit margin for the farmers. Using plants grown under agronomic
conditions, with different tillage conditions, in pure or associated cultures, at low and high
N mineral fertilizer input, or using organic fertilization, it is now possible to develop
further whole plant agronomic and physiological studies. These can be combined with
gene, protein and metabolite profiling to build up a comprehensive picture depicting the
different steps of N uptake, assimilation and recycling to produce either biomass in
vegetative organs or proteins in storage organs. We provide a critical overview as to how
our understanding of the agro-ecophysiological, physiological and molecular controls of N
assimilation in crops, under varying environmental conditions, has been improved. We
OPEN ACCESS
Sustainability 2011, 3 1453
have used combined approaches, based on agronomic studies, whole plant physiology,
quantitative genetics, forward and reverse genetics and the emerging systems biology.
Long-term sustainability may require a gradual transition from synthetic N inputs to
legume-based crop rotation, including continuous cover cropping systems, where these
may be possible in certain areas of the world, depending on climatic conditions. Current
knowledge and prospects for future agronomic development and application for breeding
crops adapted to lower mineral fertilizer input and to alternative farming techniques are
explored, whilst taking into account the constraints of both the current world economic
situation and the environment.
Keywords: agriculture; cover cropping; conservation tillage; fertilizers; genetics; nitrogen;
green manure; agro-biodiversity, sustainability
1. Introduction: Socioeconomic and Environmental Stakes
Today, the main method to maintain or restore soil nutrients and increase crop yields is the
application of mineral fertilizers such as nitrogen (N). The N used in commercial fertilizers is
particularly soluble for easy uptake and assimilation by plants. Because of the simplicity of its storage
and handling, N can easily be applied when plants need it most. Mineral fertilizers are now the main
source of nutrients applied to soils, even if the contribution of animal manure remains important,
especially when there is densely populated livestock nearby. After World War II, N fertilizers have
been used extensively to increase crop yield. The use of synthetic N fertilizers has eliminated a major
elemental constraint with respect to enriching the soil stock of organic C and N originally managed by
organic manure amendments, leguminous cultures and fallow periods. The formation of ammonia and
thus synthetic N fertilizers by the Haber–Bosch process was one of the most important inventions of
the 20th century, thus allowing the production of food for nearly half of the world population [1,2].
Consequently, a dramatic escalation has occurred in global consumption of synthetic N, from
11.6 million tonnes (Tg) in 1961 to 104 Tg in 2006 [3,4]. Over 40 years, the amount of mineral N
fertilizers applied to agricultural crops increased by 7.4 fold, whereas the overall yield increase was
only 2.4 fold [5]. This means that N use efficiency, (NUE) which may be defined as the yield obtained
per unit of available N in the soil (supplied by the soil + N fertilizer) has declined sharply. This
obviously implies that NUE is higher at reduced levels of crop production when the use of N
fertilization is much lower. NUE is the product of absorption efficiency (amount of absorbed
N/quantity of available N) and the utilization efficiency (yield/absorbed N). For a large number of
crops, there is a genetic variability for both N absorption efficiency and for N utilization efficiency [6].
Moreover, the occurrence of interactions between the genotype and the level of N led to the conclusion
that the best performing crop varieties at high N fertilization input are not necessarily the best ones
when the supply of N is lower [7]. This is mainly because breeding for most crops has been conducted
over the last 50 years in the presence of high mineral fertilization inputs, thus missing the opportunity
to exploit genetic differences under a low level of mineral or organic N fertilization conditions [8].
Sustainability 2011, 3 1454
In most intensive agricultural production systems, over 50% and up to 75% of the N applied to the
field is not used by the plant and is lost by leaching into the soil [9-11]. Some microorganisms are able
to improve soil fertility by metabolizing the N that is not absorbed by plants. It is however a lengthy
process which involves a major risk because mineral N, especially nitrate (NO3-) and urea
{CO(NH2)2} are very soluble and can run off into the surface water or flow into the groundwater.
Water contaminated by nitrate is not potable and at high concentrations can be a serious risk for human
health [12,13]. Moreover, the water industry must bear additional costs to remove nitrates from
groundwater sources [14,15].
The detrimental impacts of nitrate loss from the soil have toxicological implications for animals and
humans [16] and also on the environment leading to the eutrophication of freshwater [17] and marine
ecosystems [18]. This phenomenon is manifested by a proliferation of green algae, reduced infiltration
of light, oxygen depletion in surface water, disappearance of benthic invertebrates and the production
of toxins harmful to fish, livestock and humans. Soils are also at risk from eutrophication, as excessive
amounts of nutrients can cause oxygen depletion in the soil and thus prevent the proper functioning of
natural microorganisms. This, in turn, affects soil fertility. Moreover, it has been reported that
synthetic N fertilizers can promote microbial C utilization depleting both soil and sub-soil organic N
content [4]. Eutrophic soils are the source for the emission of N2O (nitrous oxide), which can react
with the stratospheric ozone [19], thus increasing the greenhouse effect and also the emission of toxic
ammonia (NH3) into the atmosphere that can contribute to acidification [20-22]. The process of
gaseous ammonia loss from plant foliage can range from 2 to 15kg N/ha/year released, depending on
the crop examined or the location [23,24]. Additionally, when the plant does not take up urea
fertilizers applied to the soil, up to 40% can also be lost in the form of ammonia [25,26].
Mineral N fertilizers produced by the Haber–Bosh process are very costly in energy
production [1,27] and represent nowadays up to 50% of the operational cost for the farmer depending
on the cultivated crop [28]. Thus, NUE and energy input are seen as important indicators for the
environmental impact of the production of conventional crops but also of energy crops, since they
have a large capacity to produce biomass with the minimal amount of N fertilizer [29]. Comparatively,
the net energy cost of N2 fixation in leguminous species is lower than that necessary for an equivalent
production of synthetic N fertilizers [30,31]. Therefore, it will be advantageous to the farmer to
include more legumes both in crop rotations and in cover crops, whether the main cultivated crop is
grown for grain or biomass.
Biological dinitrogen (N2) fixation is one of the most important sources of N in agricultural system,
since it has been estimated to be around 122 Tg per year. The most important N-fixing agents are the
symbiotic associations between crop and forage/fodder legumes and bacteria of the genus
Rhizobia [31,32]. There are accurate estimations of annual inputs of symbiotically fixed N by legume
crops. However, the amount of N fixed by other agricultural production systems involving
non-symbiotic N2 fixing associations, such as rice, sugar cane and cereals is much more difficult to
estimate (see [30,33,34] for reviews).
To feed the world population in 2050, which will probably reach 9 billion people, it will be
necessary to increase agricultural production by 1.7 fold [6]. It is clear that even if this increase in
production must be realized in developing countries that need it most, other countries that use
intensive agriculture do not consider reducing their production of N fertilizers. As such, they will
Sustainability 2011, 3 1455
continue to produce as much or more mineral fertilizers, while at the same time protecting the
environment will be essential to preserve the equilibrium of most earth ecosystems. The detrimental
impact of the overuse of N fertilizers on the environment can be minimized if it is accompanied by
sustainable agricultural practices, such as fertilizer use rationalization, crop rotation, establishment of
ground cover and burial of crop residues. Rational fertilization means that the application of fertilizers
both organic and inorganic is performed under the proper conditions required to prevent runoff at the
appropriate growth stages of the plant and in the correct doses [6]. For example, fractionating N
fertilization is currently being performed to grow wheat and other crops such as rice and oilseed rape.
Such fertilization strategies have in 15–20 years decreased by 15–20%, the amount of N fertilizer
applied to crops in the field [35]. Alternatively, cropping systems using carefully designed species
mixtures may be a way to lower N fertilization input, while maintaining economic profitability [36].
Others strategies to improve NUE are to use genetic modification or to breed for new varieties that
take up more organic or inorganic N from the soil N and utilize the absorbed N more efficiently [6,37].
Additionally, breeding for more efficient symbioses with Rhizobia and arbuscular micorrhizal
(AM) fungi can be an interesting alternative for increasing plant productivity using the same amount of
synthetic N fertilizer [38,39]. Conservation tillage using no till and continuous cover cropping cultures
are also known to increase significantly the potentiality and diversity of plant colonization by AM
fungi in comparison to conventional tillage [40-43]. Thus, these new alternative farming techniques
could also be an attractive way to increase NUE for a number of crops through the beneficial action
of AM.
Lastly, the occurrence of plant growth promoting bacteria (PGPB) and its relationship with the
improvement of N nutrition needs to be considered. Through the release of hormones PGPB, can
stimulate root development thus increasing nutrient acquisition including N (see [44,45] for reviews).
2. Nitrogen Fertilization in Agriculture
In the developed countries, mineral fertilizers are the main source of N applied to crops [46],
followed closely by livestock manure [47]. There are also other sources of N to the soil: the major one
being symbiotic N2 fixation in legume nodules and in the rhizosphere of a range of plants [34,45].
Minor ones include N deposition from the atmosphere, in the form of ammonia and various nitrogen
oxides, and the recycling of sewage sludge, which can be applied to cultivated land despite the
presence of toxic compounds [48,49]. The importance of these varies from one country to
another [50,51].
The mineral commercial fertilizers commonly applied to cultivated soils are anhydrous ammonia,
urea, ammonium sulfate and ammonium nitrate. They are particularly soluble for easy assimilation by
crops. Both urea and ammonia are converted to nitrate at different rates depending on the nature of the
soil and of the climatic conditions, thus leading to various loss mechanisms either by volatilization for
ammonia or runoff for nitrate or urea after heavy rainfall and leaching into groundwater [52,53].
However, it appears that the functional diversity of the autotrophic nitrifiers, the ecology (abundance
and bacterial community structure) and the nitrification kinetics performed by bacterial
ammonia-oxidizers, leading to nitrite (NO2-) production and its further oxidation to nitrate by
nitrite-oxidizing microorganisms are affected by tillage practices or cover cropping systems [54-56].
Therefore, the final inorganic N budget is strongly affected by the nitrification process occurring in the
Sustainability 2011, 3 1456
soil via the action of root-associated or free living microbes that alter rates of nutrient supply and the
partitioning of resources between the crop and the soil flora [57].
Manures are the second in nutrient inputs to agricultural land. The nutrient content of manure varies
from one country to another and from one region to another within the same country. It depends on the
type of farming, grazing systems and nutrient content of different foods and fodder for livestock. There
is evidence that at least 50% of manure is lost in storage and transport and another 25% of manure is
lost after application [58,59]. An incubation study with composted poultry manure showed a gradual
release of inorganic N, mineralizing 0.4 to 5.8% of the total N over 56 days compared to 25.4–39.8%
of the total N in uncomposted poultry manure [60].
The application of manure with different level of humification, (i.e composted), has frequently been
shown to increase soil fertility [61] and to stimulate soil microbial activity through the improvement of
soil structure [62]. Additionally, it has been demonstrated that humic substances have auxin-like
activity and positive effects on plant physiology by influencing nutrient uptake and root
architecture [63,64]. Simultaneously, it has been shown that through the use of flow-through
colorimetry that there is and adsorption of nitrate on to humic substances, thus improving N
availability to the plant [65].
From information on N inputs to agricultural soils and estimates of N uptake by crops and grass, a
calculation of the excess amounts of N applied to agricultural land can be established. This method of
calculating the excess N is known as N balance at the surface [66]. The surface balance can be used as
an indicator that highlights areas potentially threatened by N pollution under various environmental
scenarios [67,68]. In addition, monitoring the evolution of these surpluses over several years can be
used to evaluate the effectiveness of agri-environmental measures to avoid pollution by nitrates. The
calculation of the surplus cannot however be immediately interpreted as an indicator of N loss in
water. The balance between inputs and outputs for a system includes all potential losses described in
the above sections, and inventory changes of N, mainly in the soil.
3. Nitrogen Fertilization Using Green Manure and Cover Crops
Green manure fertilization (see [69] for a review) aims to improve soil fertility and quality by
incorporation into the soil of any field or forage crop while the cultivated plant is still at the green
vegetative stage, or just after the flowering stage. Green manure can also be crushed or rolled before
no-till seeding (Figure 1).
Sustainability 2011, 3 1457
Figure 1. Example showing utilization of a mixture of legume and non-legume cover crops
for green fertilization. (A) Autumn wheat: no till direct sowing onto a cover crop mixture
of radish with berseem (Trifolium alexandrinum), simultaneously with a frontal crushing of
the two cover crops. Note that on top of providing N for wheat growth, the use of crushing
simultaneously to sowing, avoids the utilization of herbicides that are often used in direct
seeding culture systems to remove the cover crop. (B) Close-up view of the cover crop
mixture composed of radish (r) and berseem (b). (C) Close-up view of the radish root
system used as a cover crop. (D) View of the wheat culture in winter after direct sowing
and simultaneous crushing of the cover crops. (E) Close-up view of the wheat culture
showing the presence of residual crushed cover crop that provides organic N to the soil,
thus avoiding the requirement for additional mineral N fertilization.
A cover crop is any crop grown to provide soil cover, regardless of whether it is later incorporated
into the soil. Cover crops are grown primarily to prevent soil erosion by wind and water. Cover crops
and green manures can be annual, biennial, or perennial herbaceous plants grown in a pure or mixed
stand during all or part of the year (Figure 1). In addition to providing ground cover and, in the case of
a symbiotic N2-fixing legume, they provide substantial amounts of N. They also help suppress
weeds [70] via allelopathic legume cover and mulching species [71] and reduce insect pests and
diseases [72-74]. When cover crops are planted to reduce nutrient leaching (N in particular) following
a main crop, they are often termed “catch crops.” [75,76]. Moreover, growing green manures on site is
a way to prevent the often inhibitive handling and transportation costs of other organic inputs [69].
There are a large variety of cover crop species that are appropriate for a farmer and a particular region.
Sustainability 2011, 3 1458
Details on the use of catch crops to prevent N leaching losses during the winter period and of N
fertilization using green manures (including N fixing legumes), can be found in the review by
Thorup-Kristensen et al. [77] and in the handbook: Managing Cover Crop Profitability [78].
Legumes are widely used as cover crops since there is a large choice of different species suited to a
particular environment (Figure 1). Legumes are defined by their unique flower structure, their pod, and
the ability of 88% of the species examined so far to form atmospheric N2 fixing nodules [79,80].
Legumes are only of second importance after grasses to humans, by contributing significantly to grain,
pasture and forage, and forestry production [33,81]. Since legumes are able to fix symbiotically
atmospheric N2, they require minimal or even no inputs of N fertilizers. If part of this “free” N is made
available to a following cultivated crop, the use of legumes in a rotation can allow a significant
reduction in the use of N fertilizers. Additionally, legumes can also enhance both the colonization of
crop roots by mycorrhizae [82] and the tripartite symbiosis between the host plant AM fungi and
N-fixing bacteria thus finally affecting N uptake by the host plant [83]. The legumes used as cover
crops or green manure can be classified into two categories: tropical and temperate. Warmer climates
or warmer winter temperatures allow temperate species to persist during the winter, and tropical
species are more adapted to the summer months. It is the intra- and inter-specific genetic variability
that partly explains why some legumes grow more and accumulate more N than others. However, it is
mainly the soil and climatic conditions that are the predominant factors that restrict the selection of the
best performing legumes species. For example, Brandsaeter et al. [84] showed in a recent study that
the biochemical quality of the plants differed between species and dates of harvesting, and that this
was reflected in the dynamics of net N mineralization. A number of reviews have focused on selection
criteria, breeding methods and genetic modification approaches and have covered future improvements
in legume crops that will be beneficial not only to the environment and farmers but also to consumers
in both developed and developing countries [85-87]. Studies using quantitative genetics approaches to
improve NUE in legumes are scarce. However, it seems that both root and nodule traits are important
for efficient N assimilation for further translocation to the seeds [88].
N production from legumes is a key benefit of growing cover crops and green manures. The amount
of N available from legumes depends on the species of legume grown, the total biomass produced, and
the percentage of N in the plant tissue. Cultural and environmental conditions that limit legume
growth, such as a delayed planting date, poor stand establishment, and drought will reduce the amount
of N produced. Conditions that encourage good N production include getting a good stand, optimum
soil nutrient levels and soil pH, good nodulation, and adequate soil moisture. The portion of
green-manure N available to a following crop is usually about 40% to 60% of the total amount
contained in the legume [76]. Interestingly, it has been demonstrated that leguminous cover crops were
also able to replace 60% of the chemical N fertilization for cotton production, although the quantity of
available N derived from the cover crop was not synchronized with the requirements of the cotton
plant [89]. In turn, one has to consider that NUE is strongly affected by the organic residues remaining
from the preceding crop and the application rate of both synthetic N or organic fertilizers applied to the
next crop [90].
Both raw and composted manures are useful in organic crop production (for a review see [91]).
Used properly, with attention to balancing soil fertility, manures can supplant all or most needs for
purchased N fertilizer, especially when combined with a whole system fertility plan that includes crop
Sustainability 2011, 3 1459
rotation and cover cropping with N-fixing legumes. However, there is often a lack of synchronization
between the timing of N mineralization originating from the catch crop and the N requirement of the
main crop, thus leading to a loss of part of the N initially saved by the catch crop. It is therefore
necessary to improve estimates of the longer-term N effects of catch crops and to optimize crop
sequences in order to estimate accurately the turnover of N retained in the soil by the nitrate catch
crops [92,93]. Thus, the grower needs to monitor nutrients in the soil via soil testing, and learn the
characteristics of the manure and/or compost to be used. The grower should adjust the rates and select
additional fertilizers and amendments accordingly. Finally, development of viable green manure-based
alternatives leading to applied crop synergisms will probably not occur without refinement of
whole-systems approaches within which green manure secure multiple ecosystemic services [94],
utilizing and conserving functional agro-biodiversity services [95].
In addition to legumes, commonly used cover crops include annual cereals (rye, wheat, barley oats),
annual or perennial forage grasses such as ryegrass, warm season grasses such as sorgum-sundangrass
hybrids and brassicas (Figure 1) including mustard (see [78], for details on their benefits
and management).
If organic farming needs to use both classical and green manure to replace chemical N fertilization,
it appears that plant genetic adaptations and breeding for these alternative farming techniques are
needed to increase crop NUE, for example in wheat [96-99]. Additionally, the development of
biomarkers for determining the potential of NUE and optimization of N inputs in crop plants under
organic farming cultivation conditions will be required [100].
4. Nitrogen Assimilation by Plants
Nitrate is the principal N source for most wild and crop species, whatever the source of inorganic or
organic N provided to the plant [101,102]. It is taken up by means of specific high and low affinity
transporters located in the root cell membrane [103,104]. Nitrates are then reduced to nitrite through
the reaction catalysed by the enzyme nitrate reductase (NR; EC 1.6.6.1), [105] followed by the
reduction of nitrite to ammonia catalysed by the enzyme nitrite reductase (NiR; EC 1.7.7.1), [106].
Under particular environments, root ammonia transporters [107] can allow a direct uptake of ammonia
when available in the soil, in rice paddy fields or in acidic forest habitats [101,108]. Ammonia can be
generated inside the plant by a variety of metabolic pathways such as photorespiration,
phenylpropanoid metabolism, utilization of N transport compounds and amino acids catabolism.
Symbiotically fixed N is also an important source of ammonia readily available to herbaceous plants or
woody species that are able to form a symbiotic relationship with N fixing microorganisms [87,109];
(Figure 2).
Several studies have shown that a wide variety of plant species are able to take up organic N
compounds, especially under low N conditions [10,102,110-113]. However, the importance of this N
source and the methods used to evaluate its contribution to plant N requirements has been questioned.
A few studies have been done on the uptake of organic N by commercial crops: e.g., corn [114],
agricultural grasses including species of clover [112] and wheat [96]. Despite these limited studies,
they demonstrate the ability of plants to directly take up organic N, but have not established the
importance and significance of organic N as a source of crop N, for example when they are grown
under organic farming conditions.
Sustainability 2011, 3 1460
Figure 2. Main reactions involved in nitrogen assimilation in higher plants. NO3
− = nitrate;
NO2
− = nitrite; NH4+ = ammonium, N2 = atmospheric dinitogen. The main enzymes
involved in nitrate reduction and ammonia assimilation are indicated in italics: NR = nitrate
reductase; NiR = nitrite reductase; Nase = nitrogenase; GS = glutamine synthetase;
GOGAT = glutamate synthase. The ultimate source of inorganic N available to the plant is
ammonium, which is incorporated into organic molecules in the form of Glutamine and
Glutamate through the combined action of the two enzymes GS and GOGAT. Carbon
originating from photosynthesis through the tricarboxylic acid cycle (TCA cycle)
provides the α–ketoglutarate needed for the reaction catalyzed by the enzyme GOGAT.
Amino acids are further used for the synthesis of proteins, nucleotides and all
N-containing molecules.
In line with the finding that plants can take organic N up directly, there is also an interesting report
in which it has been shown that herbaceous species can use protein as a N source without the
assistance of other organisms. This indicates that the spectrum of N compounds that can be taken up
by the roots is quite diverse, indicating that the relationships existing between the soil fauna and the
plant for N capture is more complex than originally thought [115].
Urea is a low molecular weight organic molecule containing N that exists in natural systems and is
also applied as a synthetic fertilizer in conventional agriculture. It is well known that urea is absorbed
as an intact molecule by plant leaves and roots [116] by means of specific root transporters [117,118].
Although the use of urea is mainly as a source of N fertilizer, the contribution of plant urea uptake and
metabolism in a physiological and agricultural context is still not investigated. However, plants
possess urea transporters, and can hydrolyse and use urea very efficiently [119].
The importance of AM fungi for nutrient uptake by plants is well documented [120-122]. Several
studies have shown that AM fungi-infected plants can take up organic N compounds [10,111,112].
Thus, AM fungi can be used as a source of biological fertilization, since they are able to develop
symbiotic associations with most terrestrial plants. They are able to alleviate the effects of different
stresses both on growth and yield, by significantly increasing the uptake of water and nutrients
(including N) by the host plant [123-128]. In particular, it has been reported that the hyphae of AM are
able to use inorganic N more efficiently, thus enabling the host plant to indirectly have access to soil N
Sustainability 2011, 3 1461
through its fungal partner [129]. However the quantitative contribution of AM fungi to the direct
uptake of organic N by plants is still not well established [128], even though recent progress have been
made in this field of research. Nevertheless, Tian et al. [130] showed that AM fungi were able to
absorb both organic and inorganic N and synthesize organic N molecules such as arginine that are
further released by the fungal hyphae and then absorbed by the host plant. Interestingly, the occurrence
of a transfer of symbiotically fixed N to a crop such as maize via vesicular-AM hyphae has been
demonstrated [131-133], indicating that associated or continuous cover cropping systems could be an
alternative way to rationalize plant N nutrition by optimizing field conditions favourable to
mycorrhizal colonization.
Ammonia, which is the ultimate form of inorganic N available to the plant, is then incorporated into
the amino acid glutamate through the action of two enzymes. The first reaction catalyzed by enzyme
glutamine synthetase (GS; EC 6.3.1.2) [134] is considered to be the major route facilitating the
incorporation of inorganic N into organic molecules in conjunction with the second enzyme glutamate
synthase (GOGAT; EC 1.4.7.1) [135], which recycles glutamate and incorporates C skeletons as a
form of 2-oxoglutarate into the cycle. The amino acids glutamine and glutamate are then further used
as amino group donors to all the other N-containing molecules notably other amino acids used for
storage, transport and protein synthesis and to nucleotides used as basic molecules for RNA and DNA
synthesis [134-136].
The two enzymes GS and GOGAT are present in the plant in several isoenzymic forms located in
different cellular compartments and differentially expressed in a particular organ or cell type according
to the developmental stage. The GS enzyme exists as a cytosolic form (GS1) present in a variety of
organ and tissues such as roots, leaves, phloem cells and a plastidic form (GS2) localized in the
chloroplasts of photosynthetic tissues and the plastids of roots and etiolated tissues. It has also been
proposed that GS2 is located in the mitochondria [137]. However, in numerous previous studies using
immunocytolocalization techniques, the presence of the enzyme in the mitochondria has never been
reported [138]. The relative proportions of GS1 and GS2 vary within the organs of the same plant and
between plant species, each GS isoform playing a specific role in a given metabolic process, such as
photorespiratory ammonia assimilation, nitrate reduction, N translocation and recycling [134,139]. The
enzyme GOGAT also exists as two forms that have specific roles during primary N assimilation or
N recycling. A ferredoxin-dependent iseoenzyme (Fd-GOGAT) is mainly involved, in conjunction
with GS2, in the reassimilation of photorespiratory ammonia and a pyridine nucleotide-dependent
isoenzyme (NADH-GOGAT; EC 1.4.1.14) involved in the synthesis of glutamate both in
photosynthetic and non-photosynthetic organs or tissues to sustain plant growth and
development [134,136]. Moreover, by virtue of their differential mode of expression regulated either at
the transcriptional and post transcriptional levels, both GS and GOGAT isoenzymes have been shown
to play a specific role at particular stages of the plant life cycle and under particular environmental
conditions related mainly to the mode of N nutrition [134,135,139].
The reversible reaction catalyzed by the enzyme glutamate dehydrogenase (GDH; EC 1.4.1.2)
[134], which has theoretically the capacity to incorporate ammonia into 2-oxoglutarate to form
glutamate, was originally thought to be the main enzyme involved in inorganic N assimilation in
plants. Later on, a number of experiments using 15N labeling techniques and mutants deficient in GS
and GOGAT have demonstrated that over 95% of the ammonia made available to the plant is
Sustainability 2011, 3 1462
assimilated via the GS/GOGAT pathway [134,140]. A number of 15N labeling experiments followed
by GCMS or NMR-spectroscopy analysis have shown that GDH operates in the direction of glutamate
deamination to provide organic acids notably when the cell is C-limited [141,142]. The finding that
under certain physiological conditions GDH is able to assimilate ammonia also needs to be taken into
consideration, although the rate of glutamate synthesis is probably far lower than that formed through
the GS/GOGAT pathway [143]. Recently the hypothesis that GDH plays an important role in
controlling glutamate homeostasis has been put forward [142]. This function, which may have a
signaling role at the interface of C and N metabolism, may be of importance under certain phases of
plant growth and development when there is an important release or accumulation of ammonia [144-
146].
Over the last two decades, our knowledge of the various pathways involved in the synthesis of the
twenty amino acids that are used to build up proteins, particularly those derived from glutamate and
glutamine, has been increased through the use of mutant and transgenic plants in which amino acid
biosynthesis has been altered. There are excellent reviews describing extensively our current
knowledge on plant amino acid biosynthesis and its regulation [136,143]. Therefore, we will not cover
this complex aspect of N assimilation in this review, even though it is of major importance for plant
growth and productivity. However, there are some examples of genetic modification in crops in which
these pathways have been altered particularly to increase the content of lysine and methionine, which
are often the most limiting for both humans and animal nutrition [147-149].
Significant progress has been made during the last few years on the regulation of inorganic N
metabolism and the relationships with C metabolism, both at the cellular and organ levels. In
particular, attempts to integrate large transcriptomic and physiological data sets at the whole plant
level have increased our understanding of the regulation of N assimilation not only under controlled
growth conditions but also under the constantly changing environmental constraints usually occurring
in field situations [6]. This integration is required, because in addition to regulating a range of cellular
processes including N assimilation itself through the co-ordination of nitrate or ammonia uptake and
use, nitrate and N metabolite levels in the cell can regulate directly or indirectly a number of closely
related metabolic and developmental processes [150,151]. These processes, which may also be
regulated through the action of hormones [152], include the synthesis and accumulation of amino acids
and organic acids and the modification of plant development including the extent and form of root
growth and the timing of flower induction. All these processes, acting either individually or
synergistically, condition N allocation in newly developing tissues or in storage organs to finally
ensure plant vegetative or sexual reproduction.
5. Improvement of Nitrogen Utilization Using Genetically Modified Crops
Nitrate reduction is rarely limiting for optimal grain yield or biomass production. In contrast, this is
not the case for the ammonia assimilatory pathway [153]. For example the work of Fuentes et al. [154]
showed that, in tobacco, overexpression of a gene encoding cytosolic glutamine synthetase (GS1) from
alfalfa, causes an increase in photosynthesis and growth under a low N fertilization regime. These
results suggest that the transgenic tobacco plants overexpresing GS1 are able to utilize N more
efficiently under N stress conditions. Interestingly, Oliveira et al. [155] also showed that in tobacco,
Sustainability 2011, 3 1463
the overexpression of a gene encoding a pea GS1 lead to increased biomass production both under
limiting and non-limiting N feeding conditions.
By overexpressing a pine GS1 gene in poplar, Jing et al. [156] and Man et al. [157] observed that
the transgenic trees, which were older than five years exhibited a 41%, increase in growth rate,
whereas the other phenotypic characteristics of the genetically modified plants remained similar.
In wheat, the overexpression of a gene for GS1 from French bean led to an increase in grain yield
(grain weight in particular) and therefore of NUE, which was estimated to be about 20% [158].
However, to our knowledge there has been no further development of this interesting study, either
because of the difficulty of field testing in Europe or because this testing is currently being performed
in the private sector. Similar work was conducted in maize consisting in the overexpression of a native
gene encoding GS1 (Gln1-3) of maize. Grain yield (mainly grain number) of the maize transgenic
plants grown under greenhouse conditions was increased by about 30%. However, grain N content and
biomass production of the transgenic plants were not modified at maturity [159]. More recently,
transgenic rice lines overexpressing GS1 showed improved harvest index, N harvest index and N
utilization efficiency. However, these lines did not exhibit higher NUE under N-limiting conditions
compared to non-limiting N conditions [160].
In other species, the overexpression of GS1 had a rather negative impact on growth and yield of the
plant. For example, overexpression of a GS1gene from tobacco in the legume birds foot trefoil (Lotus
corniculatus L.) grown on nitrate led to an acceleration of senescence, which was apparently
detrimental to the overall plant developmental process [161]. When the transgenic L. corniculatus
plants were grown under symbiotic N-fixing conditions an increase in plant biomass production was
unexpectedly observed. However, the physiological mechanisms involved in this increase remain
unknown [86].
In rape (canola), the overexpression of a gene encoding the enzyme alanine aminotransferase
(AlaAT) from barley, directed by a rape root-specific promoter, led to a dramatic increase in biomass
production and seed yield [162]. Improvement of plant productivity was only observed under low N
fertilization conditions and was attributed to a higher flux of nitrate, associated or induced by a
decrease in the content of glutamine and glutamate in the stem. In the field when the applied N
fertilizer rate was reduced by 40%, the agronomic performance of the transgenic rapeseed plants
overexpressing AlaAT was similar to that of untransformed control plants grown under higher optimal
N fertilizer rates.
Overexpression of the same gene in rice led to increased biomass production and N content of
stems [163]. Unlike in rapeseed, there was an increase of glutamine and asparagine content both in the
stems and in the roots. The genetically modified rice plants had a finer, denser and more branched root
system, which was presumably more favorable for the absorption of N. This result indicates that
genetic modification targeted to improve N utilization efficiency also had an impact on plant
development, although the effect of AlaAT overexpression was variable from one species to another in
terms of both plant growth and metabolic activity.
There are a few other examples of successful genetic modification of N metabolism using either
structural or putative regulatory genes. When the bacterial enzyme glutamate dehydrogenase (GDH A)
from E. coli was constitutively overexpressed in tobacco, biomass production of the transgenic plants
was increased by about 10–15%. In addition to the increase in biomass production GDHA
Sustainability 2011, 3 1464
overexpressors had more leaves and their free amino acid content was higher, suggesting that both N
metabolism and C metabolism were modified [164]. The transgenic tobacco plants were also more
tolerant to water stress.
In rice, overexpression of a gene of unknown function OsENOD93-1, a N-responsive gene
identified following genome-wide gene expression profiling, led to an increase in grain yield, of
13–14% and 19–23% under limiting and non-limiting N nutrition conditions respectively [165]. When
a gene encoding NAD(H)-dependent GOGAT from alfalfa was constitutively expressed in tobacco, a
significant increase in biomass production was observed [166]. Overexpression of the native
NAD(H)-dependent GOGAT in rice led to an increase in grain weight [167,168]. These results suggest
that the GOGAT enzyme plays a major role with respect to organic N management and is used either
for growth or for grain production depending on the species examined.
There are fewer studies in which the importance of regulatory genes has been clearly
demonstrated [169]. When a Dof1 gene encoding a transcription factor from maize was overexpressed
in Arabidopsis (Arabidopsis thaliana L.), an increase in amino acid content and of N uptake was
observed, especially when plants were grown at a low level of N supply. In addition, the transgenic
plants produced more biomass under low N supply and they did not exhibit symptoms of N deficiency
in comparison to the untransformed control plants, which developed much earlier symptoms of
senescence. When the Dof 1 gene was overexpressed in potato, transgenic plants accumulated more
amino acids especially glutamine and glutamate [169]. These two sets of experiments suggest that this
gene could be used to improve the uptake and utilization of N in several species. Thus, overexpressing
regulatory genes rather than structural genes, such as genes encoding GS, GOGAT or AlaAT appears
to be an interesting alternative to improve plant NUE and overall plant growth and development in a
more stable and balanced way across species.
When vegetable crops such as lettuce or spinach are grown under greenhouse conditions they can
accumulate substantial amounts of nitrate in the leaf cell vacuoles. The threshold of nitrate
accumulation often exceeds the limits permitted by law, even when N fertilization is reduced because
mineralization of soil organic matter always provides a surplus of nitrate to the plant [170]. In human
food, when nitrate is absorbed in excess, its reduction to nitrite during digestion can oxidize
hemoglobin, causing a kind of anemia. Moreover, nitrites can be converted to carcinogenic
nitrosamines [12,13]. Conventional methods of selection have led to the development of varieties able
to reduce the absorbed nitrate more efficiently instead of storing it, but these varieties are not able to
completely eliminate any risk of toxic accumulation. Studies were therefore undertaken to limit nitrate
accumulation by increasing the capacity of a plant to reduce nitrate by increasing nitrate reductase
(NR) activity in genetically modified plants, by overexpressing a gene that allows the deregulation of
the synthesis of the enzyme [171]. In tobacco a 50% reduction in leaf nitrate content was observed
after introduction of the native structural NR gene (Nia2) placed under the control of the 35S strong
constitutive promoter. Using the same approach, encouraging results were obtained in a variety of
potato [172] that showed a 95% decrease in the amount nitrate in the tubers. In another variety of
potato, the transgenic plants showed a marked improvement in biomass production, especially in
tubers, with still lower amounts of nitrate. The more effective reduction of nitrate probably allowed a
better allocation of N to the photosynthetic apparatus and to enzymes involved in C metabolism, which
was demonstrated by higher leaf chlorophyll content in the transgenic potato plants [173].
Sustainability 2011, 3 1465
In lettuce transformed with the same 35S-Nia2 construct, a problem of post-transcriptional
regulation of the NR enzyme was encountered [174]. The transgenic lettuce accumulated 21% less
nitrate after 22 days. However, the nitrate content was only 4% lower in 84 days-old transgenic plants.
The hypothesis that the strength of the 35S promoter decreases during plant ageing was put forward,
suggesting that a way to maintain NR activity at a high level regardless of plant age needs to be found.
Such a strategy to reduce the nitrate content in vegetable crops requires further research before the use
of the Nia2 transgene can be efficiently mastered.
Although we do not have any clear information from the private sector about the recent
development and commercialization of transgenic plants modified for NUE, it seems to be likely that
crops overexpressing the enzymes AlaAT and GS1 will be commercially released within the next five
years, following extensive validation of their function under different field trial conditions and using
different genetic backgrounds.
6. Deciphering the Genetic Basis of Nitrogen Use Efficiency in Crops
There have been an increasing number of studies only performed on the model species Arabidopsis,
in an attempt to link plant physiology to whole genome expression in order to obtain an integrated
view on how the expression of genes can affect overall plant functioning [151]. When a structural or
regulatory gene putatively involved in the control of a metabolic pathway or a developmental process
or both is identified, information can then be obtained by producing overexpressors or selecting
deficient mutants of the gene in question. By studying the impact of the genetic modification or the
mutation on the phenotype or the physiology of the plant, it is often possible to determine whether the
expression of this specific gene is a limiting step in the development of a particular organ or of a
metabolic pathway. In general, this targeted approach, which allows the identification of a single
limiting reaction, or a co-limiting/non-limiting reaction does not adequately take into account the
variation in complex traits such as those controlling NUE, which involves multiple genes and thus
multiple enzyme reactions and regulatory factors.
Over the last ten years, quantitative genetics, through the detection of quantitative trait loci (QTL),
has become an important approach for identifying key regulatory or structural genes involved in the
expression of complex physiological and agronomic traits in an integrated manner and for the study of
plant responses to environmental constraints [175]. When QTLs for agronomic and phenotypic traits
are located on a genetic map, it is possible to look for their genetic significance by establishing the
co-location of QTLs for physiological or biochemical traits with genes putatively involved in the
control of the trait of interest (candidate genes). Validation of candidate genes can then be undertaken
using transgenic technologies (forward genetics) or mutagenesis (reverse genetics) or by studying the
relationship between allelic polymorphism and the trait of interest (association genetics; Figure 3)
either at a single gene or genome-wide level [176]. Positional cloning is another alternative strategy
that can be used to focus on the chromosomal region controlling the trait of interest and that ultimately
allows access to a single gene [177].
Sustainability 2011, 3 1466
Figure 3. Example of identification and validation of a candidate gene involved in the
control of NUE and yield in maize. On the left is shown a chromosomal colocation of
QTLs for different yield traits (KW = kernel weight and GY = grain yield) and for
glutamine synthetase (GS) activity at the level of the Gln1-3 locus (encoding a cytosolic
GS involved in ammonia assimilation; see paragraph 4 and Figure 2). N+ means with high
N fertilization, N- with low N fertilization. Such a result shows that the Gln1-3 gene is a
good candidate gene for explaining variation in NUE. Validation of the candidate gene
Gln1.3 was then performed using: (1) mutants {reduction of grain yield in the mutant (m)
compared to the wild type (WT)}; (2) genetic modification by overexpressing the Gln1.3
in transgenic maize plants {increase in grain yield in the trangenics (OE) compared to the
untransformed plant (WT); see [159]; (3) association genetics linking Gln1.3 gene
nucleotide polymorphism to the increase in yield (HY = high yield, LY = low yield) to
identify the best performing Gln1.3 allele among a population covering maize genetic
diversity; (4) marker assisted selection (MAS) can be then undertaken by breeders where a
trait of interest (yield associated to the presence of the Gln1.3 locus) is selected not based
on the trait itself, but on a marker or markers linked (marker a and b)to it and introduced in
the desired elite line (L2) from the donor line (L1) containing the best performing Gln1.3
allele in terms of yield.
Sustainability 2011, 3 1467
Therefore, quantitative genetic approaches were developed first in maize for which recombinant
inbred lines (RIL) populations were used to build-up genetic maps and then study QTLs. The aim of
such studies was to identify chromosomal regions involved in the control of yield and its components
at high or low N fertilization input, and to determine whether or not some of these regions were
specific for one of the two nutrition regimes. In one study, a limited number of QTLs for yield was
detected only at low N-input [178]. In another study, it was found that most of the chromosomal
regions for grain composition and traits related to NUE detected at low N-input, corresponded to QTLs
detected at high N-input [179]. These contrasting results suggest that depending on the RIL
population, the response of yield to various levels of N fertilization could be different and thus
controlled by a different set of genes.
In a more detailed investigation by Bertin and Gallais [179] using maize RILs, agronomic traits,
NUE and physiological traits were associated with DNA markers [180,181]. Interestingly,
coincidences were detected between QTLs for yield and two genes encoding cytosolic GS (Gln1-3 and
Gln1-4) and whole leaf enzyme activity. As a result of which, the hypothesis that cytosolic GS activity
could be a major element controlling grain yield was put forward. [180]. Since a QTL for a thousand
kernel weight was coincident with the Gln1-4 locus and QTLs for a thousand kernel weight and yield
were coincident with the Gln1-3 locus (Figure 3), further work was undertaken to validate the function
of these two putative candidate genes. In another study also performed in maize, fine QTL mapping of
C and N metabolism enzymes activities was performed on a different RIL population. These QTLs did
not colocalize with those reported by other authors [180], which indicates that there are large
differences in diversity traits in maize [182].
The impact of the knockout mutations gln1-3 and gln1-4 on kernel yield and its components were
examined in plants grown under controlled conditions [159]. The phenotype of the two mutant lines
was characterized by a reduction of kernel size in the gln1-4 mutant and by a reduction of kernel
number in the gln1-3 mutant. In the gln1-3/1-4 double mutant, a cumulative effect of the two
mutations was observed. In transgenic plants overexpressing Gln1-3 constitutively in the leaves, there
was an increase in kernel number, thus providing further evidence that the cytosolic GS isoenzyme
GS1-3 plays a major role in controlling kernel yield [159]; Figure 3). The hypothesis that GS is one of
the key steps in the control of cereal productivity was strengthened by a study performed on rice, in
which a co-localization of a QTL for the GS1;1 locus and a QTL for one-spikelet weight was
identified [183]. As a confirmation, a strong reduction in growth rate and grain yield was observed in
rice GS1;1 deficient mutants [184].
The role of the GS enzyme and other N-related physiological traits in the control of agronomic
performance in wheat still remains to be clearly established. Using a quantitative genetics approach,
Fontaine et al. [185] found only a co-localization between a QTL for GS activity and GSe, a structural
gene encoding cytosolic GS, but no obvious colocalization with a QTL for yield, in agreement with
previous work published by Habash et al. [158]. In contrast, in recent work, physical mapping,
sequencing, annotation and candidate gene validation of an NUE QTL on wheat chromosome 3B
suggested that the NADH-dependent GOGAT enzymes contribute to NUE in wheat and other
cereals [186] in agreement with work previously performed on rice [167].
Interestingly, in a woody species such as maritime pine that is far away from cereals on an
evolutionary point of view, a protein QTL for GS co-localized with a GS gene and a QTL for
Sustainability 2011, 3 1468
biomass [187]. Functional validation of the pine GS gene in transgenic poplars (see above), which can
be considered as a crop for wood production, shows once again that quantitative genetics represent one
of the most powerful approaches for identifying NUE candidate genes that may be involved in the
control of plant productivity.
To date, there are only a few reports reporting specific breeding for organic input systems and
especially N [188]. A question that could be addressed is whether the genetic control of NUE under
organic or conventional fertilization conditions is similar or if there are specific genes or combinations
of genes that are more adapted to one mode of fertilization compared to the other, taking into account
that organic material can be directly taken up by the plant [189]. Moreover its appears that using
appropriate selection environments is important for breeding crops adapted to organic farming
systems [190].
Further work is necessary to identify whether other root and shoot enzymes or regulatory proteins
could play a specific role under low or high N availability, whatever the type of N fertilization
conditions (organic or mineral). Such proteins include those directly involved in N metabolism or
those positioned at the interface between C and N metabolism during plant growth and
development [150,191,192]. It will be necessary therefore to identify new N-responsive genes through
detailed analyses of transcriptomic data sets [189], including using systems biology approaches [109].
The analyses will be targeted specifically to N uptake, assimilation and recycling in vegetative [165
and reproductive organs [193] at various stages of plant development, using plants grown under
different levels of N fertilization. Systems biology consists in taking advantage of various ‘omics’ data
sets including transcriptomics, proteomics and metabolomics that can be further analysed in an
integrated manner through the utilization of various mathematical, bioinformatic and computational
tools [192]. Ultimately, such integrated analyses may allow the identification of the key individual or
common regulatory elements involved in the control of a given biological process [157]. Such an
approach, originally developed for the model plant Arabidopsis by virtue of the wealth of information
available at the transcriptome level, when transferred to crops, may help in identifying key master
genes involved in the control of NUE. In parallel, metabolomic studies are becoming more and more
extensively used for the high throughput phenotyping necessary for large scale molecular and
quantitative genetic studies aimed at identifying new candidate genes involved in the control of plant
productivity [194,195]. This has prompted a number of groups, to focus their research efforts on
developing data integration tools for metabolic reactions that complement gene expression studies.
Encouragingly, on the modeling side, an increasing number of genome-scale metabolic models of
plants have recently been released [196,197]. Such metabolic models should help to unravel key
reactions and thus limit the steps required for the control of NUE, taking into account both
tissue-specificities and environmental constraints.
Using the knowledge gained from these various systems biology approaches, it should then be
possible to map the newly identified genes encoding regulatory proteins or enzymes, taking advantage
of the recent progress in crop genomics through the availability of both physical and genetic high
density maps and QTL or Meta-QTL genetic map positions generated by the plant science
community [186,198]. Comparative genomics and synteny approaches similar to those of Quraishi et
al. [186] can complete such analyses by linking the genetic maps of maize, rice, barley and wheat
Sustainability 2011, 3 1469
harboring N related QTLs, thus allowing the reinforcement of the weight of selected putative
candidate genes.
Ultimately, following the functional validation of candidate genes using all the available
approaches offered by mutagenesis, genetic modification and association genetics, marker-assisted
selection (MAS) can be then undertaken (Figure 3). However, there are still a number of technical and
scientific challenges that remain to be resolved before MAS can be routinely used in breeding for
complex traits such as NUE. This is mainly due to the number of interactions that govern the
expression of such traits both at the genetic and environmental levels [199], whether we are dealing
with conventional or organic farming growth conditions.
7. Conclusion and Perspectives
A large number of studies have been carried out over the last two decades to identify by means of
agronomic, physiological and genetic studies, the rate limiting steps of NUE both in model and crop
species, as a function of environmental conditions. For abiotic stress improvement in crops, NUE has
become the second priority after drought both in the private and in the public sector. To decipher the
genetic and physiological basis of NUE, many tools are available for most crops and for cereals in
particular. They include mutant collections, wide genetic diversity, recombinant inbred lines (RILs) or
Doubled Haploid Line populations (DHLs), straightforward transformation protocols and
physiological, biochemical and genomic data for systems biology development [6,200]. In addition,
the commercial crop research effort is paralleled by research in the public sector, notably with the
release of the genome sequences for rice [201] and maize [202] and the current development of
sequencing projects for wheat [203], barley [204] and a number of other crops.
Cereal grains such as rice, wheat and maize provide 60% of the world's nutrition, the rest being
represented by barley, coarse grains of legumes along with root crops. These crops account for the
majority of end products used for human diets [205] and it is likely that they will still contribute either
directly in the human diet or indirectly as animal feed in the next century [200]. Thus, considering both
the economical and environmental challenge represented by reducing both the cost and application of
N fertilizers, all major maize seed breeding companies such as Monsanto,
DuPont-Pioneer and Syngenta are investing in genomic research for improving NUE. Moreover,
improvement in yield for most crops over the last 50 years has been estimated to be 40%, due to
improvements in cultural practices and 60% due to genetic gains, thus indicating that breeding for
improved NUE is still possible [206]. However, to our knowledge, improving NUE either through
genetic engineering or marker assisted breeding is still at the stage of proof of concept. Therefore, very
little information is currently released from both the private and public sector in consideration of the
potential economic value of crop NUE improvement.
However, both on the genetic and physiological side, the identification of key steps involved in the
control of NUE from gene expression to metabolic activity remains incomplete. It is likely because the
regulatory mechanisms involved in the control of the two components of NUE (N uptake and
utilization efficiencies) are species-specific [6]. Moreover, they are subjected to changes or adaptation
in a constantly changing soil and aerial environment during plant growth and development that require
the taking into account the various genotypic/environment interactions [207].
Sustainability 2011, 3 1470
NUE is controlled by a complex array of physiological, developmental and environmental
interactions that are organ and tissue-specific and which are specific to the genotype of a given
species. It is therefore essential that a much more extensive survey of a wide range of genotypes
covering the genetic diversity of a crop should be performed. This can be achieved using the various
available “omics” techniques, combined with agronomic and physiological approaches in order to
identify both common and specific elements controlling NUE and plant productivity of plants grown
in the field under organic or mineral N fertilizer conditions [208].
Over the last two decades, the construction of cereals that can fix atmospheric N has always been a
challenge for plant scientists, in order to reduce the need for mineral N fertilization. Although, the
signaling pathway for recognition of N-fixing bacteria is present in cereals, complex genetic
modification will be necessary to allow bacterial colonization and nodule organogenesis [209].
At the field level, only agronomic predictive models using the appropriate biogical and
environmental parameters [210] should be able to take into account interactions between plants and
their environment to obtain an integrated view of the various inputs or outputs, influencing crop
NUE [211,212]. One of the main challenges in the future will be to develop reliable decision support
systems with the help of sensors [213,214] and biological diagnostic tools in precision agriculture, in
order to optimize the application of N under organic or conventional conditions in a more sustainable
manner. Moreover, the establishment of such models will need to be scaled up at the ecological
level [44], in order to obtain a better understanding as to how N cycling is occurring from organisms to
the whole ecosystem [57].
A proposed strategy for integrating multidisciplinary approaches for improving crop NUE is
summarized in Figure 4. This strategy highlights the necessity to develop an integrated approach
between the public and private sectors to improve our understanding and control of the biological and
agronomic basis of NUE in crops of major economical importance. However, the nature of an
agronomic trait such as NUE is complex, due to the intervention of multiple elements interacting with
each other as a function of both plant development and environmental constraints. Moreover, the
interaction between these elements appears to be not only species-specific but also specific to a given
genetic background. Therefore, improvement of this understanding will require the development of a
multi-disciplinary approach, integrating expertise from fundamental and more applied studies in crop
developmental biology, physiology, genomics, genetics, physiology, modeling, agronomy and
breeding [212]. In addition, taking advantage of the genetic variability that already exists or that can be
created, will provide a valuable contribution to the genetic and physiological dissection of NUE under
mineral and organic N nutrition conditions and an evaluation of the genes or group of genes involved.
The major breakthrough expected from this multidisciplinary approach will be to provide 1) useful
alleles or gene-based markers to breeders for the production of genetically modified plants or for
marker assisted selection (MAS) ; 2) predictive biological markers for breeders to improve selection
for higher NUE by conventional breeding; 3) tools for farmers to monitor and adjust mineral and/or
organic N fertilization for obtaining optimal yields compatible with a strategy for sustainability of the
agricultural practices needed to feed the world population, while preserving the environment.
Sustainability 2011, 3 1471
Figure 4. Proposed strategy for improving N use efficiency in crops. This strategy is built
around two main agronomic and genetic studies conducted in parallel. Each of these two
main studies is divided into a subset of approaches strongly interacting with each other
within and across them. It will be necessary to integrate current knowledge in agronomy,
molecular physiology, eco-physiology and genetics to guide, develop and integrate novel
methods and concepts for improving NUE in crops. This knowledge development and
integration can be performed through the use of quantitative genetics for QTL and
candidate gene detection (KD.1), through the exploitation of all the ‘omics’ databases
using a systems biology approach (KD.2) and through the use of agronomic databases
gathering all the information concerning plant performance under various environmental
scenarios (KD3). The basis of this knowledge is represented by: (1) the numerous whole
plant physiology studies performed over the last two decades on both model and crop
species (KF.1) ; (2) the studies aimed at identifying the influence of N fertilization on crop
growth and development and its physiology either under organic (KF2) or organic N
nutrition (KF3) ; (3) through the exploitation of genetic variability of a given species using
different modern and ancient genotypes, landraces, lines, hybrids originating from different
parts of the world. The primary goal of the genetic studies is to provide breeders with
markers genes or loci aimed at selecting varieties more efficient at utilizing N, identified
through the use of quantitative genetics (KD.1), mutagenesis (G.1) and genetic engineering
(G.2) for further commercialization by breeding companies (O.1). The aim of the
agronomic studies is to provide tools for breeders and agronomists to create and evaluate
new varieties in cropping systems under low and adequate N input in conventional or
organic farming systems. To achieve this it will be necessary to identify key agronomic
traits that can be use to predict plant performance under low or high N input and according
to various environmental conditions (A.1). Plant performance could also be predicted and
monitored through the use of monitoring tools or sensors (A.2 = metabolic, enzymatic and
molecular markers for NUE; see [109] for details) and through the development of plant
and crop modeling approaches integrating agronomic, physiological and molecular data
(G+A) [213]. These monitoring tools and models will also help the farmers to rationalize N
fertilization when integrated into decision support systems (A.3). In addition the
knowledge gained from these complementary studies will be useful to the scientific
community to improve our understanding of N assimilation by plants both at the whole
plant and canopy levels (O.2). The boxes shaded in dark grey indicate where significant
progress has been made in the area. Those in pale grey indicate that work is still currently
being actively performed. Those in white indicate the research area for which results and
data are scarce or missing.
Sustainability 2011, 3 1472
Figure 4. Cont.
Sustainability 2011, 3 1473
References and Notes
1. Erisman; J.W.; Sutton, M.A.; Galloway, J.N.; Klimont, Z.; Winiwarter W. How a century of
ammonia synthesis changed the world. Nat. Geosci. 2008, 1, 636-639.
2. Galloway, J.N.; Townsend, A.R.; Erisman, J.W.; Bekunda, M.; Cai, Z.; Freney, J.R.;
Martinelli, L.A.; Seitzinger, S.P.; Sutton, M.A. Transformation of the nitrogen cycle: Recent
trends, questions, and potential solutions. Science 2008, 320, 889-892.
3. Hoang, V.N.; Alauddin, M. Assessing the eco-environmental performance of agricultural
production in OECD countries: The use of nitrogen flows and balance. Nutr. Cycl. Agroecosys.
2010, 87, 353-36.
4. Mulvaney, R.L.; Khan, S.A.; Ellsworth, T.R. Synthetic nitrogen depleted soil nitrogen: A global
dilemma for sustainable cereal production. J. Environ. Qual. 2009, 38, 2295-2314.
5. Tilman, D.; Cassman, K.G.; Matson, P.A.; Naylor, R.; Polasky, S. Agricultural sustainability and
intensive production pratices. Nature 2002, 418, 671-677.
6. Hirel, B.; Le Gouis, J.; Ney, B.; Gallais, A. The challenge of improving nitrogen use efficiency
in crop plants: Towards a more central role for genetic variability and quantitative genetics
within integrated approaches. J. Exp. Bot. 2007, 58, 2369-2387.
7. Gallais, A.; Coque, M. Genetic variation and selection for nitrogen use efficiency in maize: A
synthesis. Maydica 2005, 50, 531-537.
8. Ceccarelli, S. Adaptation to low/high input cultivation. Euphytica 1995, 92, 203-204.
9. Raun, W.R.; Johnson, G.V. Improving nitrogen use efficiency for cereal production. Agron. J.
1999, 91, 357-363.
10. Hodge, A.; Robinson, D.; Fitter, A. Are microorganisms more effective than plants at competing
for nitrogen? Trends Plant Sci. 2000, 5, 304-308.
11. Asghari, H.R.; Cavagnaro, T.R. Arbuscular mycorrhizas enhance plant interception of leached
nutrients. Funct. Plant Biol. 2011, 38, 219-226.
12. Al-Redhaiman, K.N. Nitrate accumulation in plants and hazards to man and livestock: A review.
J. King Saud Univ. 2000, 12, 143-156.
13. Umar, A.S.; Iqbal, M. Nitrate accumulation in plants, factors affecting the process, and human
health implications. A review. Agron. Sustain. Dev. 2007, 27, 45-57.
14. Harris, R.C.; Skinner, A.C. Controlling diffuse pollution of groundwater from agriculture and
industry. Water Environ. J. 1992, 6, 569-574.
15. Cameron, S.G.; Schipper, L.A. Nitrate removal and hydraulic performance of organic carbon for
use in denitrification beds. Ecol. Eng. 2010, 36, 1588-1595.
16. Camarguo, J.A.; Alonso, A. Ecological and toxicological effects of inorganic nitrogen pollution
in aquatic ecosystems: A global assessment. Environ. Int. 2006, 32, 831-849.
17. London, J.G. Nitrogen study fertilizes fears of pollution. Nature 2005, 433, 791.
18. Beman, J.M.; Arrigo, K.; Matson, P.M. Agricultural runoff fuels large phytoplankton blooms in
vulnerable areas of the ocean. Nature 2005, 434, 211-214.
19. Sutton, M.; Howard,, C.M.; Erisman, J.W. ; Billen, G. ; Bleeker, A. ; Grennfelt, P. ; van
Grinsven, H. ; Grizetti, B. Assessing our nitrogen inheritance. In The European Nitrogen
Assessment. Sources, Effects and Policy Perspectives; Sutton, M.A., Howard, C.M.,
Erisman J.W., Billen, G., Bleeker, A., Grennfelt, P., van Grinsven, H.; Grizzetti B. Eds. ;
Cambridge University Press: Cambridge UK, 2011; pp. 1-6.
Sustainability 2011, 3 1474
20. Ramos, C. Effect of agricultural practices on the nitrogen losses to the environment. Fertilizer
Res. 1996, 43, 183-189.
21. Stulen, I.; Perez-Soba, M.; De Kok, L.J.; Van Der Eerden, L. Impact of gaseous nitrogen
deposition on plant functioning. New Phytol. 1998, 139, 61-70.
22. David, M.; Loubet, B.; Cellier, P.; Mattson, M.; Schjoerring, J.K.; Nemitz, E.; Roche, R.; Riedo,
M.; Sutton, M.A. Ammonia sources and sinks in an intensively managed grassland canopy.
Biogeosciences 2009, 6, 1903-1915.
23. Sommer S.G.; Schjoerring J.K.; Denmead O.T. Ammonia emission from mineral fertilizers and
fertilized crops . Adv. Agron. 2004, 82, 557-622.
24. Wang, L.; Xu, Y-C.; Schjoerring, J. K. Seasonal variation in ammonia compensation point and
nitrogen pools in beech leaves (Fagus sylvatica). Plant Soil 2011, 343, 51-66.
25. Fowler, D.B.; Brydon, J. No-till winter wheat production in the Canadian prairies: Timing of
nitrogen fixation. Agron. J. 1989, 81, 817-825.
26. San Francisco, S.; Urrutia, O.; Martin, V.; Peristeropoulos, A.; Garcia-Mina, J.M. Efficiency of
urease and nitrification inhibitors in reducing ammonia volatilization from diverse nitrogen
fertilizers applied to different soil types and wheat straw mulching. J. Sci. Food. Agr. 2011, 91,
1569-1575.
27. Olson, R.A. Fertilizers for food production vs energy needs and environmental quality. Ecotox.
Environ. Safe. 1977, 1, 311-26.
28. Reganold, J.P.; Papendick, R.I.; Parr, F.F. Sustainable agriculture. Sci. Am. 1990, 262,112-120.
29. Lewandowski, I.; Schmidt, U. Nitrogen, energy and land use efficiencies of miscanthus, reed
canary grass and triticale as determined by the boundary line approach. Agr. Ecosyst. Environ.
2006, 112, 335-346.
30. Andrews, M.; Lea, P.J.; Raven, J.A.; Azevedo R.A. Nitrogen use efficiency. 3. Nitrogen
fixation: Genes and costs. Ann. Appl. Biol. 2009, 155, 1-13.
31. Fustec, J.; Lesuffleur, F.; Mahieu, S.; Cliquet, J.B. Nitrogen rhizodeposition of legumes. A
review. Agron. Sustain. Dev. 2010, 30, 57-66.
32. Liu, Y.Y.; Wu, L.H.; Baddeley, J.A.; Watson, C.A. Models of biological nitrogen fixation of
legumes. A review. Agron. Sustain. Dev. 2011, 31, 155-172
33. Herridge, D.F.; People, M.B.; Boddey, R.M. Global inputs of biological nitrogen fixation in
agricultural systems. Plant Soil 2008, 311, 1-18.
34. Andrews, M.; Hodge S.; Raven J.A. Positive plant microbial reactions Ann. Appl. Biol. 2010,
157, 317-320.
35. Meynard, J.; Sebillotte, M.M. L’élaboration du rendement du blé, base pour l’étude des autres
céréales à talles. In Elaboration du Rendement des Principales Cultures Annuelles; Combe, L.,
Picard, D., Eds.; INRA: Paris, France, 1994; pp. 31-51.
36. Malézieux, E.; Crozat, Y.; Dupraz, C.; Laurans, M.; Makowski, D.; Ozier-Lafontaine, H.;
Rapidel, B.; de Tourdonnet, S.; Valentin-Morison, M. Mixing plant species in cropping systems:
Concepts, tools and models. A review. Agron. Sustain. Dev. 2009, 29, 43-62.
37. Good, A.G.; Shrawat, A.K.; Muench, D.G. Can less yield more? Is reducing nutrient input into
the environment compatible with maintaining crop production? Trends Plant Sci. 2004, 9,
597-605.
38. Rengel, Z. Breeding for better symbiosis. Plant Soil 2002, 245, 147-162.
39. Raviv, M. The use of mycorrhiza in organically-grown crops under semi arid conditions: A
review of benefits, constraints and future challenges Symbiosis 2010, 52, 65-74.
Sustainability 2011, 3 1475
40. Kabir, Z.; O’Halloran, I.P.; Hamel, C. Seasonal changes of arbuscular mycorrhizal fungi as
affected by tillage practices and fertilization. Plant Soil 1997, 192, 285-293.
41. Kabir, Z.; O’Halloran, I.P.; Hamel, C. Overwinter survival of arbuscular mycorrhizal hyphae is
favored by attachment to roots but diminished by disturbance. Mycorrhiza 1997, 7,197-200.
42. Kabir, Z.; Rhamoun, M.; Lazicki, P.; Horwath, W. Cover crops and conservation tillage increase
mycorrhizal colonization of corn and tomato roots. In Sustainable Agriculture Farming System
Project; Volume 9, No. 1; University of California, Davis, CA, USA, 2008; Available online:
http://safs.ucdavis.edu/newsletter/v09n1/page3.htm (accessed on 23 August 2011).
43. Aggarwal, N.A.; Gaur, A.; Bhalla, E.; Gupta, S.R. Soil aggregate carbon and diversity of
mycorrhiza as affected by tillage practices in a rice-wheat cropping system in northern India. Int.
J. Ecol. Environ. Sci. 2010, 36, 233-243.
44. Kraiser, T.; Gras, D.; Gutièrrez, A.G.; Gonzalez, B.; Gutièrrez, A.R. A holistic view of nitrogen
acquisition in plants. J. Exp. Bot. 2011, 62, 1455-1466.
45. Tikhonovich, I.A.; Provorov, N.A. Microbiology is the basis of sustainable agriculture: An
opinion. Ann. Appl. Biol. 2011, 159, 155-168.
46. Robertson, G.P.; Vitousek, P.M. Nitrogen in Agriculture: Balancing the cost of an essential
resource. Annu. Rev. Envir. Resour. 2009, 34, 97-125.
47. Hooda, P.S.; Edwards, A.C.; Anderson, H.A.; Miller, A. A review of water quality concerns in
livestock farming areas. Sci. Total. Environ. 2000, 250, 143-167.
48. Smith S.R. Organic contaminants in sewage sludge (biosolids) and their significance for
agricultural recycling. Phil. Trans. R. Soc. B. 2009, 367, 4005-4041
49. Giller, K.E.; Witter, E.; McGrath, S.P. Heavy metals and soil microbes. Soil Biol. Biochem.
2009, 41, 2031-2037.
50. Billen, G.; Beusen, A.; Bouwman, L.; Garnier, J. Anthropogenic nitrogen autotrophy and
heterotrophy of the world's watersheds: Past, present, and future trends. Global. Biogeochem.
Cy. 2010, 24, GB0A11.
51. Spiertz, J.H.J. Nitrogen, sustainable agriculture and food security. A review. Agron. Sustain.
Develop. 2010, 30, 43-55.
52. Vitosh, M. L., Johnson, J. W.; Mengel, D. B. Tri-State Fertilizer Recommendations for Corn,
Soybean, Wheat and Alfalfa; Extension Bulletin. Ohio State University: Columbus Ohio, USA,
1995; E-2567; Available online http://ohioline.osu.edu/e2567/ (accessed 23 August 2011).
53. Jarvis, S.; Hutchings, N.; Brentrup, F.; Olesen, J.E.; van de Hoek K.W. Nitrogen flows in
farming systems across Europe. In The European Nitrogen Assessment. Sources, Effects and
Policy Perspectives; Sutton, M.A., Howard, C.M., Erisman J.W., Billen, G., Bleeker, A.,
Grennfelt, P., van Grinsven, H .; Grizzetti, B., Eds.; Cambridge University Press: Cambridge,
UK, 2011; pp. 21-28
54. Webster, G.; Embley, T.M.; Freitag, T.E.; Smith, Z.; Prosser, J.I. Links between ammonia
oxidizer species composition, functional diversity and nitrification kinetics in grassland soils.
Environ. Microbiol. 2005, 7, 676-684.
55. Le Roux, X.; Poly, F.; Currey, P.; Commeaux, C.; Hai, B.; Nicol, G.W.; Prosser, I.; Schloter, M.;
Attard, E.; Klumpp K. Effect of aboveground grazing on coupling among nitrifier activity,
abundance and community structure. ISME J. 2008, 2, 221-232.
Sustainability 2011, 3 1476
56. Attard, E.; Poly, F.; Commeaux, C.; Laurent, F.; Terada, A. ; Smets, B.F.; Recous, S.;
Le Roux, X. Shifts between Nitrospira- and Nitrobacter-like nitrite oxidizers underlie the
response of soil potential nitrite oxidation to changes in tillage practices. Environ. Microbiol.
2010, 12, 315-326.
57. Van der Heidjen, M.G.A.; Bardgett, R.D.; van Straalen, N.M. The unseen majority: soil
microbes as drivers of plant diversity and productivity in terrestrial ecosystems. Ecol. Lett. 2008,
11, 296-310.
58. Bouldin, D.R.; Klausner, S.D.; Reid, S.D. Use of nitrogen from manure. In Nitrogen in Crop
Production; Hauck, R.D., Ed.; ASA-CSSA-SSSA: Madison, WI, USA, 1984; pp. 221-245.
59. Maguire, R.O.; Kleinman, P.J.A.; Beegle, D.B. Novel manure management technologies in
no-till and forage systems: Introduction to the special series. J. Environ. Qual. 2011, 40, 287-
291.
60. Tyson, S.C.; Cabrera, M.L. Nitrogen mineralization in soils amended with composted and
uncomposted poultry litter. Commun. Soil Sci. Plant Anal. 1993, 24, 2361-2374.
61. Glaser, B.; Lehmann, J.; Zech, W. Ameliorating physical and chemical properties of highly
watered soils in the tropics with charcoal—A review. Biol. Fert. Soils 2002, 35, 219-230.
62. Watson, C.A.; Atkinson, D., Gosling, P.; Jackson, L.R.; Rayns, F.W. Managing soil fertility in
organic farming systems. Soil Use Manag. 2002, 18, 239-247.
63. Canellas, L.P.; Teixeira Junior, L.R.L; Dobbss, L.B.; Silva, C.A.; Medici, L.O.; Zandonadi,
D.B.; Façanha, A.R. Humic acid crossinteractions with root and organic acids. Ann. Appl. Biol.
2008, 153, 157-166.
64. Trevisan, S.; Francioso, O.; Quaggiotti, S.; Nardi, S. Humic substances biological activity at the
plant-soil interface; From environmental aspects to molecular factors. Plant Signal. Behav. 2010,
5, 635-643.
65. Klucakova, M. Adsorption of nitrate on humic acids studied by flow-through coulometry.
Environ. Chem. Lett. 2010, 8, 145-148.
66. Goodwin, D.C.; Singh, U. Nitrogen balance and crop response to nitrogen in upland and lowland
cropping systems. In Understanding Options for Agricultural Production; Tsuji, G.Y.,
Hoogenboom, G., Thornton, P.K., Eds.; Kluwer: Dordrecht, The Netherlands 1998; Volume 7,
pp. 55-78.
67. Eulenstein, F.; Werner, A.; Willms, M.; Juszczak, R.; Schlindwein, S.L.; Chijjnicki, B.H.;
Olenik, J. Model based scenario studies to optimize the regional nitrogen balance and reduce
leaching of nitrate and sulfate of an agricultural water catchment. Nutr. Cycl. Agroecosys. 2008,
82, 33-49.
68. Bechini, L.; Castoldi, N. Calculating the soil surface nitrogen balance at regional scale: Example
application and critical evaluation of tools and data. Ital. J. Agron. 2006, 1, 665-676.
69. Cherr, C.M.; Scholberg, J.M.S.; McSorley, R. Green manure approaches to crop production: A
synthesis. Agron. J. 2006, 98, 302-319.
70. Burgos, N.R.; Talberg, T.E. Weed control and sweet corn (Zea mays, var. Rugosa) response in
no-till system with cover crops. Weed Sci. 1996, 44, 355-361.
71. Caamal-Maldonado, J.A.; Jimenez-Osornio, J.J.; Torres-Barragan, A.; Anaya, A.L. The use of
allelopathic legume cover and mulch species for weed control in cropping systems. Agron. J.
2001, 93, 27-36.
72. Caswell, E.P.; Defranck, J.; Apt, W.J.; Tang, C.S. Influence of non-host plants on population
decline of Rotylenchus reniformis. J. Nematol. 1991, 23, 91-98.
Sustainability 2011, 3 1477
73. Stevenson, F.C.; Van Kessel, C. The nitrogen and non-nitrogen rotation benefits of pea to
succeeding crops. Can. J. Plant Sci. 1996, 76, 735-734.
74. Unkovich, M.J.; Pate, J.S.; Sanford, P. Nitrogen fixation by annual legumes in Australian
Mediterranean agriculture. Aust. J. Agr. Res. 1997, 48, 267-293.
75. Sullivan, P.S. Overview of cover crops and green manures. In National Center for Appropriate
Technology Sustainable Agricultural Project; National Center for Appropriate Technology:
Butte, MT, USA, 2003; IP024; Available online: https://attra.ncat.org/attra-pub/summaries/
summary.php?pub=288 (accessed on 23 August 2011).
76. Rinnofner, T.; Friedel, J.K.; de Kruiff, R.; Freyer, G.P. Effect of catch crops on N dynamics and
following crops in organic farming. Agron. Sustain. Dev. 2008, 28, 551-558.
77. Thorup-Kristensen, K.; Magrid, J.; Stoumann Jesen, L. Catch crops and green manures as
biological tools in nitrogen management in temperate zone. Adv. Agron. 2003, 79, 227-302.
78. Managing Cover Crops Profitability. Third Ed., Handbook Series 9; Sustainable Agriculture
Research and Education: Beltsville, MD, USA. 2007; pp. 224.
79. De Faria, S.M.; Lewis, G.P.; Sprent, J.I.; Sutherland, J.M. Occurrence of nodulation in the
leguminosae. New Phytol. 1989, 111, 607-619.
80. Novak, K. On the efficiency of legume supernodulating mutants. Ann. Appl. Biol. 2010, 157,
321-342.
81. Graham, P.H.; Vance, C.P. Legumes: Importance and constraints to greater use. Plant Physiol.
2003, 131, 872-877.
82. Hoffman, C.A.; Carroll, C.R. Can we sustain the biological basis of agriculture? Annu. Rev.
Ecol. Syst. 1995, 26, 69-92.
83. Wang, X.; Pan, Q.; Chen, F.; Yan, X.; Liao, H. Effects of co-inoculation with arbuscular
mycorrhizal fungi and rhizobia on soybean growth as related to root architecture and availability
of N and P. Mycorrhiza 2011, 21, 173-181.
84. Brandsaeter, L.O.; Heggen, H.; Riley, H.; Stubhaug, E.; Henriksen, T.M. Winter survival,
biomass accumulation and N mineralization of winter annual and biennial legumes sown at
various times of the year in northern temperate regions. Eur. J. Agron. 2008, 28, 437-448.
85. Ranalli, P. Breeding methodologies for the improvement of grain legumes. In Improvement
strategies for Leguminosae Biotechnology; Jaiwal, P.K., Singh, R.P., Eds.; Kluwer: Dordrecht,
The Netherlands, 2003; pp. 3-21.
86. Hirel, B.; Harrison, J.; Limami, A. Improvement of Nitrogen Utilization. In Improvement
strategies for Leguminosae Biotechnology; Jaiwal, P.K., Singh, R.P., Eds.; Kluwer: Dordecht,
The Netherlands, 2003; pp. 201-220.
87. Valentine, A.J.; Vagner, A.; Benedito, A.; Kandy, Y. Legume nitrogen and soil abiotic stress:
From physiology to genomics and beyond. Valentine. In Annual Plant Reviews, Nitrogen
Metabolism in Plants in the Post-genomic Era; Foyer, C.H., Zhang, H., Eds.; Wiley-Blackwell:
Chichester, UK , 2011; Volume 42, pp. 207-248.
88. Bourion, V.; Hasan Risvi, S.M.; Fournier, S.; de Lambergue, H.; Galmiche, F.; Marget, P.;
Duc, G.; Burstin, J. Genetic dissection of nitrogen nutrition in pea through a QTL approach of
root, nodule, and shoot variability. Theor. Appl. Genet. 2010, 212, 71-86.
89. Zablotowicz, R.M.; Reddy, K.N.; Krutz, L.J.; Gordon, R.E.; Jackson, R.E.; Price, L.D. Can
leguminous cover crops partially replace nitrogen fertilization in Mississipi delta cotton
production? Int. J. Agron. 2011, doi:10.1155/2011/135097.
Sustainability 2011, 3 1478
90. Rahimizadeh, M.; Kashani, A.; Zare-Feizabadi, A.; Koocheki, A.R.; Nassiri-Mahallati, M.
Nitrogen use efficiency of wheat as affected by preceding crop, application rate of nitrogen and
crop residues. Aust. J. Crop Sci. 2010, 4, 363-368.
91. Kuepper, G. Manures for organic crop production. In National Center for Appropriate
Technology Sustainable Agriculture Project; National Center for Appropriate Technology:
Butte, MT, USA, 2003; Available online: http://attra.ncat.org/attra-pub/manures.html. (accessed
on 23August 2011).
92. Thomsen, I.K.; Christensen, B.T. Nitrogen conserving potential successive ryegrass catch crops
in continuous spring barley. Soil Use Manage. 1999, 15, 195-200.
93. Möller, K.; Stinner, W.; Leithold, G. Growth, composition, biological N2 fixation and nutrient
uptake of a leguminous cover crop mixture and the effect of their removal on field nitrogen
balance and nitrate leaching risk Nutr. Cycl. Agroecosys. 2008, 82, 233-249.
94. Anderson, R.L. Synergism: A rotation effect of improved growth efficiency. Adv. Agron. 2011,
112, 205-226.
95. Jackson, L.E.; Pascual, U.; Hodgkin, T. Utilizing and conserving agrobiodiversity in agriculture
landscapes. Agr. Ecosys. Environ. 2007, 121, 196-210.
96. Näsholm, T.; Huss-Danell, K.; Högberg, P. Uptake of glycine by field grown wheat. New Phytol.
2001, 150, 59-63.
97. Baresel, J.P.; Zimmerman, G.; Reents, H.J. Effect on genotype and environment on N uptake and
N partition in organically grown winter wheat (Triticum aestivum L.) in Germany. Euphytica
2008, 163, 347-354.
98. Loschenberger, F.; Fleck, A.; Grausgruber, H.; Hetzendorfer, H.; Hof, G.; Lafferty, J.; Marn, M.;
Neumayer, A.; Pfaffinger, G.; Birschitzsky, J. Breeding for organic agriculture: the example of
winter wheat in Austria. Euphytica 2008, 163, 469-480.
99. Reeve, J.R.; Smith, J.L.; Carpenter-Boggs, L.; Reganold, J.P. Glycine, nitrate and ammonium
uptake by classic and modern wheat varieties in a short-term microcosm study. Biol. Fertil. Soils
2009, 45, 723-732.
100. Kumar, A.; Gupta, N.; Gupta, A.K.; Gaur, V.K. Identification of biomarkers for determining
genotypic potential of nitrogen-use-efficiency and optimization of the nitrogen inputs in crop
plants. J. Crop Sci. Biotech. 2009, 12, 183-194.
101. Salsac, L.; Chaillou, S.; Morot-Gaudry, J.F.; Lesaint, C.; Jolivet, E. Nitrate and ammonium
nutrition in plants. Plant Physiol. Biochem. 1987, 25, 805-812.
102. Näsholm, T.; Kielland, K.; Ganeteg, U. Uptake of organic nitrogen by plants. New Phytol. 2009,
182, 31-48.
103. Miller, A.J.; Fan, X.; Orsel, M.; Smith, S.J.; Wells, D.M. Nitrate transport and signaling. J. Exp.
Bot. 2007, 58, 2297-2306.
104. Dechorgnat, J.; Nguyen, C.T.; Armengaud, P.; Jossier, M.J.; Diatloff, E.; Filleur, S.;
Daniel-Vedele, F. From the soil to the seeds: The long journey of nitrate in plants. J. Exp. Bot.
2011, 62, 1349-1359.
105. Kaiser, W.M.; Planchet, E.; Rümer, S. Nitrate reductase and nitric oxide. In Annual Plant
Reviews, Nitrogen Metabolism in Plants in the Post-genomic Era; Foyer, C.H., Zhang, H., Eds.;
Wiley-Blackwell: Chichester, UK, 2011; Volume 42, pp. 127-146.
106. Sétif, P.; Hirasawa, M.; Cassan, N.; Lagoutte, B.; Tripathy, J.N.; Knaff, D.B. New insights into
the catalytic cycle of plant nitrite reductase. Electron transfer kinetics and charge storage.
Biochemistry 2009, 48, 2828-2838.
Sustainability 2011, 3 1479
107. Ludewig, U.; Neuhäuser, B.; Dynowski, M. Molecular mechanisms of ammonium transport and
accumulation in plants. FEBS Lett. 2007, 581, 2301-2308.
108. Mae, T. Physiological nitrogen efficiency in rice: Nitrogen utilization, photosynthesis and yield.
In Plant Nutrition for Sustainable Food Production and Environment; Ando, T., Fujita, K., Mae,
T., Matsumoto, H., Mori, S., Sekiya, J., Eds.; Kluwer Academic Publishers: Dordrecht, The
Netherlands, 1997; pp. 51-60.
109. Hirel, B.; Lea, P.J. The molecular genetics of nitrogen use efficiency in crops. In The Molecular
and Physiological Basis of Nutrient Use Efficiency in Crops; Hawkesford, M.J.,
Barraclough, P.B., Eds.; Wiley-Blackwell: Chichester, UK, 2011; pp.139-164.
110. Schimel, J.P.; Chapin, F.S. Tundra plant uptake of amino acid and NH4+ nitrogen in situ: Plants
compete well for amino acid N. Ecology 1996, 77, 2142-2147.
111. Näsholm, T.; Ekblad, A.; Nordin, R.; Giesler, M.; Hogberg, M.; Hogberg, P. Boreal forest plants
take up organic nitrogen. Nature 1998, 392, 914-916.
112. Näsholm, T.; Huss-Danell, K.; Högberg, P. Uptake of organic nitrogen in the field by four
agriculturally important plant species. Ecology 2000, 81, 1155-1161.
113. Harrison, K.A.; Bol R.; Bardgett, R.D. Do plant species with different growth strategies vary in
their ability to compete with soil microbes for chemical forms of nitrogen? Soil Biol. Biochem.
2008, 40, 228-237.
114. Biernath, C.; Fischer, H.; Kuzyakov, Y. Root uptake of N-containing and N-free low molecular
weight organic substances by maize. A 14C/15N tracer study. Soil Biol. Biochem. 2008, 40,
2237-2245.
115. Paugfoo-Lonhienne, C.; Lonhienne, T.G.A.; Rentch, D.; Robinson, N.; Christie, M.; Webb, R.I.;
Gamage, H.K.; Caroll, B.J.; Schenk, P.M.; Schmidt, S. Plants can use protein as a nitrogen
source without assistance from other organisms. Proc. Natl. Acad. Sci. USA 2007, 105,
4524-4529.
116. Tan, X.W.; Ikeda, H.; Oda, M. The absorption, translocation, and assimilation of urea, nitrate or
ammonium in tomato plants at different plant growth stages in hydroponic culture. Sci. Hortic.
Amsterdam 2000, 84, 275-283.
117. Kojima, S.; Bohner, A.; von Wirén, N. Molecular mechanisms of urea transport in plants.
J. Membrane. Biol. 2006, 212, 83-91.
118. Kojima, S.; Bohner, A.; Gassert, B.; Yuan, L.; von Wirén, N. AtDUR3 represents the major
transporter for high-affinity urea transport across the plasma membrane of nitrogen-deficient
Arabidopsis roots. Plant J. 2007, 52, 30-40.
119. Witte, C.P. Urea metabolism in plants. Plant Sci. 2010, 180, 431-438.
120. Smith, S.E.; Read, D.J. Mycorrhizal Symbiosis, 3rd ed.; Academic Press: London, UK, 2008;
pp. 800.
121. Hodge, A.; Helgason, T.; Fitter, A.H. Nutritional ecology of arbuscular mycorrhizal fungi.
Fungal Ecol. 2010, 3, 267-273.
122. Peay, K.G.; Bidartondo, M.I.; Arnold, A.E. Not every fungus is everywhere: Scaling to the
biogeography of fungal-plant interactions across roots, shoots and ecosystems. New Phytol.
2010, 185, 878-882.
123. Tanaka, Y.; Yano K. Nitrogen delivery to maize via myccorhizal hyphae depends on the form of
N supplies. Plant Cell Environ. 2005, 28, 1247-1254.
124. Jackson, L.E.; Burger, M.; Cavagnaro, T.R. Nitrogen transformation and ecosystem services.
Annu. Rev. Plant. Biol. 2008, 59, 341-363.
Sustainability 2011, 3 1480
125. Miransari, M.; Bahrami, H.A.; Rejali, F.; Malakouti, M.J. Using arbuscular mycorrhiza to reduce
the stressful effects of soil compaction on wheat (Triticum aestivum L.) growth. Soil. Biol.
Biochem. 2008, 40, 1197-1206.
126. Miransari, M.; Rejali, F.; Bahrami, H.A.; Malakouti, M.J. Effect of soil compaction and
arbuscular mycorrhiza on corn (Zea mays L.) nutrient uptake. Soil. Till. Res. 2009, 103, 282-290.
127. Daei, G.; Ardakani, M.; Rejali, F.; Teimuri, S. Miransari, M. Alleviation of salinity on wheat
yield, yield components, and nutrient uptake using arbuscular myccorhizal fungi under field
condition. J. Plant Physiol. 2009, 166, 617-625.
128. Miransari, M. Arbuscular mycorrhizal fungi and nitrogen uptake. Arch. Microbiol. 2011, 193,
77-81.
129. Tobar, R.; Azcon, R.; Barea, J.M. Improved nitrogen uptake and transport from 15N-labelled
nitrate by external hyphae of arbuscular mycorrhiza under water stressed conditions. New Phytol.
1994, 126, 119-122.
130. Tian, C.; Kasiborski, B.; Koul, R.; Mammers, P.J.; Bucking, H.; Shachar-Hill, Y. Regulation of
the nitrogen transfer pathway in the arbuscular mycorrhizal symbiosis: Gene characterization
and the coordination of expression with nitrogen flux. Plant Physiol. 2010, 153, 1175-1187.
131. Frey, B.; Schüpp, H. Transfer of symbiotically fixed nitrogen from berseem (Trifolium
alexandrinum to maize via vesicular arbuscular mychorrhizal hyphae. New Phytol. 1992, 122,
447-454.
132. Bonfante, P.; Anca, I.A. Plants, mycorrhizal fungi, and bacteria: A network of interactions.
Annu. Rev. Microbiol. 2009, 63, 363-383.
133. Bonfante, P.; Genre, A. Mechanisms underlying beneficial plant-fungus interactions in
mycorrhizal symbiosis. Nat. Commun. 2010, 1, 1-11.
134. Lea, P.J.; Miflin, B.J. Nitrogen assimilation and its relevance to crop improvement. In Annual
Plant Reviews, Nitrogen Metabolism in Plants in the Post-genomic Era; Foyer, C.H., Zhang, H.,
Eds.; Wiley-Blackwell: Chichester, UK, 2011; Vol. 42, pp. 1-40.
135. Suzuki, A.; Knaff, D.B. Glutamate synthase: Structural, mechanistic and regulatory properties,
and role in the amino acid metabolism. Photosynth. Res. 2005, 83, 191-217.
136. Hirel, B.; Lea, P.J. Amino acid metabolism. In Plant Nitrogen; Lea, P.J., Morot-Gaudry, J.F.,
Eds.; INRA, Springer-Verlag: Berlin, Germany, 2001; pp. 79-99.
137. Taira, M.; Valtersson, U.; Burkhardt, B.; Ludwig, R.A. Arabidopis thaliana GLN2-encoded
glutamine synthetase is dual targeted to leaf mitochondria and chloroplasts. Plant Cell 2004, 16,
2048-2058.
138. Dubois, F.; Brugière, N.; Sangwan, R.S.; Hirel, B. Localization of tobacco cytosolic glutamine
synthetase enzymes and the corresponding transcripts shows organ- and cell-specific patterns of
protein synthesis and gene expression. Plant Mol. Biol. 1996, 31, 803-817.
139. Cren, M.; Hirel, B. Glutamine synthetase in higher plants: Regulation of gene and protein
expression from the organ to the cell. Plant Cell Physiol. 1999, 40, 1187-1193.
140. Lea, P.J.; Ireland, R.J. Nitrogen metabolism in higher plants. In Plant Amino Acids; Singh, B.K.,
Ed.; Dekker M.: New York, NY, USA, 1999; pp. 1-47.
141. Aubert, S.; Bligny, R.; Douce, R.; Ratcliffe, R.G.; Roberts, J.K.M. Contribution of glutamate
dehydrogenase to mitochondrial metabolism studied by 13C and 31P nuclear magnetic resonance.
J. Exp. Bot. 2001, 52, 37-45.
Sustainability 2011, 3 1481
142. Labboun, S.; Tercé-Laforgue, T.; Roscher, A.; Bedu, M.; Restivo, F.M.; Velanis, C.N.;
Skopelitis, D.S.; Moshou, P.N.; Roubelakis-Angelakis, K.A.; Suzuki, A.; et al. Resolving the
role of plant glutamate dehydrogenase: I. In vivo real time nuclear magnetic resonance
spectroscopy experiments. Plant Cell Physiol. 2009, 50, 1761-1773.
143. Skopelitis, D.S.; Paranychiankis, N.V.; Paschalidis, K.A.; Plianokis, E.D.; Delis, I.D.;
Yakoumakis, D.I.; Kouvarakis, A.; Papadakis, E.D.; Stephanou, E.G;
Roubelakis-Angelakis, K.A. Abiotic stress generates ROS that signal expression of anionic
glutamate dehydrogenase to form glutamate for proline synthesis in tobacco and grapevine.
Plant Cell 2006, 18, 2767-2781.
144. Masclaux, C.; Quilleré, I.; Gallais, A.; Hirel, B. The challenge of remobilisation in plant nitrogen
economy. A survey of physio-agronomic and molecular approaches. Ann. Appl. Biol. 2001, 138,
69-81.
145. Stitt, M.; Müller, C.; Matt, P.; Gibon, Y.; Carillo, P.; Morcuende, R.; Sheible, W.R.;
Krapp, A. Steps towards an integrated view of nitrogen metabolism. J. Exp. Bot. 2002, 53,
959-970.
146. Tercé-Laforgue, T.; Dubois, F.; Ferrario-Mery, S.; Pou de Crecenzo, M.A.; Sangwan, R.;
Hirel, B. Glutamate dehydrogenase of tobacco (Nicotiana tabacum L.) is mainly induced in the
cytosol of phloem companion cells when ammonia is provided either externally or released
during photorespiration. Plant Physiol. 2004, 136, 4308-4317.
147. Morot Gaudry, J.F.; Job, D.; Lea, P.J. Amino acid metabolism. In Plant Nitrogen; Lea, P.J.,
Morot-Gaudry, J.F., Eds.; INRA, Springer-Verlag: Berlin, Germany, 2001; pp. 167-211.
148. Lea, P.J.; Azevedo, R.A. Nitrogen use efficiency. 2. Amino acid metabolism. Ann. Appl. Biol.
2007, 151, 269-275.
149. Galili, S.; Amir, R.; Galili, G. Genetic engineering of amino acids in plants. Adv. Plant Biochem.
Mol. Biol. 2008, 1, 49-80.
150. Gutiérrez, R.A.; Lejay, L.V.; Dean, A.; Chiaromonte, F.; Shasha, D.E.; Coruzzi, G.M.
Qualitative network models and genome-wide expression data define carbon/nitrogen-responsive
molecular machines in Arabidopsis. Genome Biol. 2007, 8, R7.
151. Coruzzi, G.M.; Burga, A.R.; Katari, M.S.; Gutiérrez, R.A. Systems biology: Principles and
applications in plant research. In Annual Plant Reviews, Plant Systems Biology; Coruzzi, G.M.,
Guttiérez, R.A., Eds.; Wiley-Blackwell: Chichester, UK, 2009; Volume 35, pp. 3-40.
152. Thum, K.E.; Shin, M.J.; Gutiérrez, R.A; Mukherjee, I.; Katari, M.S.; Nero, D.; Shasha, D.;
Coruzzi, G.M. An integrated genetic, genomic and systems approach defines gene networks
regulated by the interaction of light and carbon signalling pathways in Arabidopsis. BMC Syst.
Biol. 2008, 2, 31.
153. Andrews, M.; Lea, P.J.; Raven, J.A.; Lindsey, K. Can genetic manipulation of plant nitrogen
assimilation enzymes result in increased crop yield and greater N-use efficiency? An assessment.
Ann. Appl. Biol. 2004, 145, 25-40.
154. Fuentes, S.I.; Alen, D.J.; Ortiz-Lopez, A.; Hernandez, G. Overexpression of cytosolic glutamine
synthetase increases photosynthesis and growth at low nitrogen concentrations. J. Exp. Bot.
2001, 52, 1071-1081.
155. Oliveira, I.C.; Brears, T.; Knight, T.J.; Clark, A.; Coruzzi, G.M. Overexpression of cytosolic
glutamine synthetase. Relation to nitrogen, light, and photorespiration. Plant Physiol. 2002, 129,
1170-1180.
Sustainability 2011, 3 1482
156. Jing, Z.P.; Gallardo, F.; Pascual, M.B.; Sampalo, R.; Romero, J.; Torres de Vavarra, A.;
Canovas, F.M. Improved growth in a field trial of transgenic hybrid poplar overexpressing
glutamine synthetase. New Phytol. 2004, 164, 137-145.
157. Man, H.M.; Boriel, R.; El-Khatib, R.; Kirby, E.G. Characterization of transgenic poplar with
ectopic expression of pine cytosolic glutamine synthetase under conditions of varying nitrogen
ability. New Phytol. 2005, 167, 31-39.
158. Habash, D.Z.; Massiah, A.J.; Rong, H.L.; Wallsgrove, R.M.; Leigh, R.A. The role of cytosolic
glutamine synthetase in wheat. Ann. Appl. Biol. 2001, 138, 83-89.
159. Martin, A.; Lee, J.; Kichey, T.; Gerentes, D.; Zivy, M.; Tatou, C.; Balliau, T.; Valot, B.;
Davanture, M.; Dubois, F.; et al. Two cytosolic glutamine synthetase isoforms of maize (Zea
mays L.) are specifically involved in the control of grain production. Plant Cell 2006, 18,
3252-3274.
160. Brauer, E.K.; Rochon, A.; Bi, Y.M.; Bozzo, G.G.; Rothstein, S.J.; Shelp, B. Reappraisal of
nitrogen use efficiency in rice overexpressing glutamine synthetase 1. Physiol. Plantarum. 2011,
141, 361-372.
161. Vincent, R.; Fraisier, V.; Chaillou, S.; Limami, M.A.; Deléens, E.; Phillipson, B.; Douat, C.;
Boutin, J.P.; Hirel, B. Overexpression of a soybean gene encoding cytosolic glutamine
synthetase in shoots of transgenic Lotus corniculatus L. plants triggers changes in ammonium
assimilation and plant development. Planta 1997, 201, 424-433.
162. Good, A.G.; Johnson, S.J.; De Pauw, M.; Carroll, R.T.; Savodiv, N.; Vidmar, J.; Lu, Z.;
Taylor, G.; Stroeher, V. Engineering nitrogen use efficiency with alanine aminotransferase. Can.
J. Bot. 2007, 85, 252-262.
163. Shrawat, A.K.; Carroll, R.T.; DePauw, M.; Taylor, G.J.; Good, A.G. Genetic engineering of
improved nitrogen use efficiency in rice by the tissue specific expression of alanine
amino-transferase. Plant Biotechnol. J. 2008, 6, 722-732.
164. Ameziane, R.; Bernhard, K.; Lightfoot, D. Expression of the bacterial gdhA gene encoding a
NADPH-glutamate dehydrogenase in tobacco affects plant growth and development. Plant Soil
2000, 221, 47-57.
165. Bi, Y.M.; Kant, S.; Clark, J.; Gidda, S.; Ming, F.; Xu, J.; Rochon, A.; Shelp, B.J.; Hao, L.;
Zhao, R.;et al. . Increased nitrogen use efficiency in transgenic rice plants over-expressing a
nitrogen-responsive early nodulin gene identified from rice expression profiling. Plant Cell
Environ. 2009, 32, 1749-1760.
166. Chichkova, S.; Arellano, J.; Vance, C.P.; Hernandez, G. Transgenic tobacco plants that
overexpress alfalfa NADH-glutamate synthase have higher carbon and nitrogen content. J. Exp.
Bot. 2001, 52, 2079-2087.
167. Yamaya, T.; Obara, M.; Nakajima, H.; Sasaki, S.; Hayakawa, T.; Sato, T. Genetic manipulation
and quantitative trait loci mapping for nitrogen recycling in rice. J. Exp. Bot. 2002, 53, 917-925.
168. Tabuchi, M.; Abiko, T.; Yamaya, T. Assimilation of ammonium ions and reutilization of
nitrogen in rice (O. sativa L.). J. Exp. Bot. 2007, 58, 2319-2327.
169. Yanagisawa, S.; Akiyama, A.; Kisaka, H.; Uchimiya, H.; Miwa, T. Metabolic engineering with
Dof1 transcription factor in plants: Improved nitrogen assimilation and growth under
low-nitrogen conditions. Proc. Natl. Acad. Sci. USA 2004, 101, 7833-7838.
170. Fonder, N.; Heens, B.; Xanthoulis, D. Optimisation de la fertlisation azotée de cultures
industrielles légumières sous irrigation. Biotechnol. Agron. Soc. Environ. 2010, 14, 103-111.
Sustainability 2011, 3 1483
171. Quilléré, I.; Dufossé, C.; Roux, Y.; Foyer, C.H.; Caboche, M.; Morot-Gaudry, J.F. The effects of
deregulation of NR gene expression on growth and nitrogen metabolism of Nicotiana
plumbaginifolia plants. J. Exp. Bot. 1994, 278, 1205-1211.
172. Djennane, S.; Chauvin, J.E.; Quilleré, I.; Meyer, C.; Chupeau, Y. Introduction and expression of
a deregulated tobacco nitrate reductase gene in potato lead to highly reduced nitrate levels in
transgenic tubers. Transgenic Res. 2002, 11, 175-184.
173. Djennane, S.; Quilleré, I.; Leydecker, M.-T.; Meyer, C.; Chauvin, J.E. Expression of a
deregulated tobacco nitrate reductase gene in potato increases biomass production and decreases
nitrate concentration in all organs. Planta 2004, 219, 884-893.
174. Curtis, I.S.; Power, J.B.; de Laat, A.M.M.; Caboche, M.; Davey, M.R. Expression of a chimeric
nitrate reductase gene in transgenic lettuce reduces nitrate in leaves. Plant Cell Rep. 1999, 18,
889-896.
175. Xu, Y. Quantitative trait loci: Separating, pyramiding, and cloning. Plant Breed. Rev. 1997, 15,
85-139.
176. Yu, J.; Buckler, E.S. Genetic association mapping and genome organization of maize. Cur. Opin.
Biotech. 2006, 17, 155-160.
177. Salvi, S.; Tuberosa, R. Cloning QTLs in Plants. In Genomics-Assisted Crop Improvement;
Varshney, R.K., Tuberosa, R., Eds.; Springer: Dordrecht, The Netherlands, 2007; Volume 1,
pp. 207-226.
178. Agrama, H.A.S.; Zacharia, A.G.; Said, F.B.; Tuinstra, M. Identification of quantitative trait loci
for nitrogen use efficiency in maize. Mol. Breed. 1999, 5, 187-195.
179. Bertin, P.; Gallais, A. Physiological and genetic basis of nitrogen use efficiency in maize. II.
QTL detection and coincidences. Maydica 2001, 46, 53-68.
180. Hirel, B.; Gallais, A.; Bertin, P.; Quillere, I.; Bourdoncle, W.; Attagan, C.; Dellay, C.; Gouy, A.;
Cadiou, S.; Retaillau, C.; et al.Towards a better understanding of the genetic and physiological
basis for nitrogen use efficiency in maize. Plant Physiol. 2001, 125, 1258-1270.
181. Gallais, A.; Hirel, B. An approach of the genetics of nitrogen use efficiency in maize. J. Exp.
Bot. 2004, 55, 295-306.
182. Zhang, N.; Gibon, Y.; Gur, A.; Chen, C.; Lepak, N.; Höne, M.; Zhang, Z.; Kroon, D.;
Tschoep, H.; Stitt, M.;et al. Fine quantitative trait loci mapping of carbon and nitrogen
metabolism enzyme activities and seedling biomass in the maize IBM mapping population. Plant
Physiol. 2010, 154, 1753-1765.
183. Obara, M.; Kajiura, M.; Fukuta, Y.; Yano, M.; Hayashi, M.; Yamaya, T.; Sato, T. Mapping of
QTLs associated with cytosolic glutamine synthetase and NADH-glutamate synthase in rice
(Oryza sativa L.). J. Exp. Bot. 2001, 52, 1209-1217.
184. Tabuchi, M.; Sugiyama, T.; Ishiyama, K.; Inoue, E.; Sato, T.; Takahashi, H.; Yamaya, T. Severe
reduction in growth and grain filling of rice mutants lacking OsGS1;1, a cytosolic glutamine
synthetase 1;1. Plant J. 2005, 42, 641-655.
185. Fontaine, J.X.; Ravel, C.; Pageau, K.; Heumez, E.; Dubois, F.; Hirel, B.; Le Gouis, J. A
quantitative genetic study for elucidating the contribution of glutamine synthetase, glutamate
dehydrogenase and other nitrogen-related physiological traits to the agronomic performance of
common wheat. Theor. Appl. Genet. 2009, 119, 645-662.
Sustainability 2011, 3 1484
186. Quraishi, U.M.; Abrouk, M.; Murat, F.; Pont, C.; Foucrier, S.; Demaizieres, G.; Confolent, C.;
Rivière, N.; Charmet, G.; Paux, E.; et al. Cross-genome map based dissection of a nitrogen use
efficiency ortho-meta QTL in bread wheat unravels concerted cereal genome evolution. Plant J.
2011, 65, 745-756.
187. Plomion, C.; Bahrmann, N.; Costa, P.; Frigério, J.M.; Gerber, S.; Gion, J.M.; Lalanne, C.;
Madur, D.; Pionneau, C. Proteomics for genetic and physiological studies in forest trees:
Application in maritime pine. In Molecular Genetics and Breeding of Forest Trees; Kumar, S.,
Fladung, M., Eds.; Haworth Press: New York, NY, USA, 2004; pp 53-80.
188. Lammerts van Buren, E.T.; Jones, S.S.; Tamn, L.; Murphy, K.M.; Myers, J.R.; Leifert, C.;
Mesmer, M.M. The need to breed crop varieties suitable for organic farming, using wheat,
tomato and broccoli as examples: A review. NJAS Wageningen J. Life Sci. 2010,
doi: 10.1016/j.njas.2010.04.001.
189. Hawkesford, M.J.; Howarth, J.R. Transcriptional profiling approaches for studying nitrogen use
efficiency. In Annual Plant Reviews, Nitrogen Metabolism in Plants in the Post-genomic Era;
Foyer, C.H., Zhang, H., Eds.; Wiley-Blackwell: Chichester, UK, 2011; Volume 42, pp. 41-62.
190. Messmer, M.M.; Burger, H.; Schmidt, W.; Geiger, H.H. Importance of appropriate selection
environments for breeding maize adapted to organic farming systems. Tagung der Vereinigung
der Pflanzenzücher und Saatgutkaufleute Österreichs, 2009, 1-3.
191. Krapp, A.; Truong, H.N. C/N interaction in model plant species. In Enhancing the Efficiency of
Nitrogen Utilisation in Plants; Goyal, S.S., Tischner, R., Basra, A.S., Eds.; Haworth Press:
Binghampton, NY, USA, 2005; pp. 127-173.
192. Gutiérrez, R.A.; Gifford, M.L.; Poultney, C.; Wang, R.; Shasha, D.E.; Coruzzi, G.M.;
Crawford, N.M. Insights into the genomic nitrate response using genetics and the sungear
software system. J. Exp. Bot. 2007, 58, 2359-2367.
193. Cañas, R.A.; Quilleré, I.; Christ, A.; Hirel, B. Nitrogen metabolism in the developing ear of
maize (Zea mays L.): Analysis of two lines contrasting in their mode of nitrogen management.
New Phytol. 2009, 184, 340-352.
194. Meyer, R.C.; Steinfath, M.; Lisec, J.; Becher, M.; Witucha-Wall, H.; Törjék, O.; Fienh, O.;
Eckardt, A.; Willmitzer, L.; Selbig, J.; et al. The metabolic signature related to high plant growth
rate in Arabidopsis thaliana. Proc. Nat. Acad. Sci. USA 2007, 104, 4759-4664.
195. Lisec, J.; Meyer, R.C.; Steinfath, M.; Redestig, H.; Becher, M.; Witucka-Wall, H.; Fienh, O.;
Törjék, O.; Selbig, J.; Altman, T.; et al. Identification of metabolic and biomass QTL in
Arabidopsis thaliana in a parallel analysis of RIL and Il populations. Plant J. 2008, 53, 960-972.
196. Radrich, K.; Tsuruoka, Y.; Dobson, P.; Gevorgyan, A.; Swaitson, N.; Schwartz, J.M. Integration
of metabolic databases for the reconstruction of genome-scale metabolic networks. BMC Syst.
Biol. 2010, 4, 1-16; doi:10.1186/1752-0509.
197. De Oliveira Dal’Molin, C.G.; Quek, L.E.; Palfreyman, R.W.; Brumbley, S.M.; Nielsen, L.K.
AraGEM, a genome-scale reconstruction of the primary metabolic network in Arabidopsis. Plant
Physiol. 2010, 152, 579-589.
198. Coque, M.; Martin, A.; Veyrieras, J.B.; Hirel, B.; Gallais, A. Genetic variation for
N-remobilization and postsilking N-uptake in a set of maize recombinant inbred lines. 3. QTL
detection and coincidences. Theor. Appl. Genet. 2008, 117, 729-747.
199. Xu, Y.; Crouch, J.H. Marker-assisted selection in plant breeding: From publication to practice.
Crop Sci. 2008, 48, 391-407.
Sustainability 2011, 3 1485
200. Hirel, B.; Le Gouis, J.; Bernard, M.; Perez, P.; Falque, M.; Quétier, F.; Joets, J.; Montalent, P.;
Rogwoski, P.; Murigneux, A.; et al. Genomics and plant breeding: Maize and wheat.
In Functional Plant Genomics; Morot-Gaudry, J.-F., Lea, P.J., Briat, J.-F., Eds.; Science
Publishers: Enfield, NH, USA, 2007; pp. 614-635.
201. Goff, S.A.; Ricke, D.; Lan, T.H.; Presting, G.; Wang, R.; Dunn, M.; Glazebrook, J.; Session, A.;
Oeller, P.; Varma, H.; et al. A draft sequence of the rice genome (Oryza sativa L. ssp. japonica).
Science 2002, 296, 92-100.
202. Schnable, P.S.; Ware, D.; Fulton, R.S.; Stein, J.C.; Wei, F.; Pasternak, S.; Liang, C.; Khang, J.;
Fulton, L.; Graves, T.A.; et al. The B73 maize genome: Complexity, diversity and dynamics.
Science 2009, 326, 1112-1115.
203. International Wheat Genome Organization. Available online: http://www.wheatgenome.org/
(accessed on 1 September 2011).
204. International Barley Sequencing Consortium. Available online: http://barleygenome.org/
(accessed on 1 September 2011).
205. Food and Agriculture Organization. Available online: http://www.fao.org/worldfoodsituation/
wfs-home/csdb/en/ (accessed on 1 September 2011).
206. Edgerton, M.D. Increasing crop productivity to meet global needs for feed, food and fuel. Plant
Physiol. 2009, 149, 7-13.
207. Pilbeam, D.J. The utilization of nitrogen by plants: A whole plant perspective. In Annual Plant
Reviews, Nitrogen Metabolism in Plants in the Post-genomic Era; Foyer, C.H., Zhang, H., Eds.;
Wiley-Blackwell: Chichester, UK, 2011; Volume 42, pp. 305-352.
208. Cañas, R.A.; Amiour, N.; Quilleré, I.; Hirel, B. An integrated statistical analysis of the genetic
variability of nitrogen metabolism in the ear of three maize inbred lines (Zea mays L.). J. Exp.
Bot. 2010, 62, 2309-2318.
209. Charpentier, M.; Oldroyd, G. How close are we to nitrogen-fixing cereals? Curr. Opin. Plant
Biol. 2010, 13, 556-564.
210. Tremblay, M.; Wallach, D. Comparison of parameter estimation methods for crop models.
Agronomie 2004, 24, 351-365.
211. McCown, R.L.; Hammer, G.L.; Hargreaves, J.N.G.; Holzworth, D.P.; Freebairn, D.M. APSIM:
A novel software system for model development, model testing and simulation in agricultural
systems research. Agr. Syst. 1996, 50, 255-271.
212. Stark, C.H.; Richards, K.G. The continuing challenge of agricultural nitrogen loss to the
environment in the context of global change and advancing research. Dyn. Soil. Dyn. Plant 2008,
2, 1-12.
213. Hammer G.L.; Kropff, M.J.; Sinclair, T.R.; Porter, J.R. Future contributions of crop
modeling—from heuristics and supporting decision-making to understanding genetic regulation
and aiding crop improvement. Eur. J. Agron. 2002, 18, 15-31.
214. Samborski, S.M.; Tremblay, N.; Fallon, E. Strategies to make use of plant sensors-based
diagnostic information for nitrogen recommendations. Agron. J. 2009, 101, 800-816.
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