Conference PaperPDF Available

Diversifying crop rotation sequences with grain legume/cereal intercrops and legume/grass cover crops

Authors:
  • Swedish University of Agricultural Sciences, Alnarp, Sweden

Abstract

Diversification of cropping systems creates multiple benefits for the sustainable development of agroecosystems. Notably, introducing intercrops and cover crops in crop rotations allows efficient use of resources and promotes the synergy between ecosystem processes and functions (e.g. enhancing soil quality, preventing risk of build-up of pests and diseases). We used field experiments to assess how grain yield, crop biomass and weed biomass in cereals were influenced by introducing grain legume sole crops and legume/ cereal intercrops as preceding crops, as well as by integrating cover crops during periods between the main crops. The results showed either insignificant or positive effects of the tested crop diversification measures on subsequent cereal productivity. Along with other known benefits such as reduced need for nitrogen fertilisation, reduced risk of nutrient losses and soil erosion, our findings support that increased crop diversity can improve resource use efficiency and contribute to more sustainable agriculture.
Aspects of Applied Biology 146, 2021
Intercropping for sustainability: Research developments and their application
43
Diversifying crop rotation sequences with grain legume/cereal
intercrops and legume/grass cover crops
By CAROLINA RODRIGUEZ, ERIK STEEN JENSEN and GEORG CARLSSON
Department of Biosystems and Technology, Swedish University of Agricultural Sciences,
Box 103, 230 53 Alnarp, Sweden
Summary
Diversification of cropping systems creates multiple benefits for the sustainable
development of agroecosystems. Notably, introducing intercrops and cover crops in crop
rotations allows ecient use of resources and promotes the synergy between ecosystem
processes and functions (e.g. enhancing soil quality, preventing risk of build-up of pests
and diseases). We used eld experiments to assess how grain yield, crop biomass and weed
biomass in cereals were inuenced by introducing grain legume sole crops and legume/
cereal intercrops as preceding crops, as well as by integrating cover crops during periods
between the main crops. The results showed either insignicant or positive eects of the
tested crop diversication measures on subsequent cereal productivity. Along with other
known benets such as reduced need for nitrogen fertilisation, reduced risk of nutrient
losses and soil erosion, our ndings support that increased crop diversity can improve
resource use eciency and contribute to more sustainable agriculture.
Key words: Crop diversication, preceding crop, cover crops, intercropping, legumes
Introduction
Diversifying conventional farming systems and implementing alternative crops, creates multiple
benets for agro-ecosystems and can reduce the negative environmental impacts of agriculture.
Indeed, increasing crop diversication using legumes can enhance land productivity, reduce the
need for nitrogen (N) fertiliser inputs and associated fossil energy use (Jensen et al., 2010), and
prevent the build-up of pests and diseases (Lin, 2011). Furthermore, crop diversication supports
the expansion of new niche markets, reducing the economic risks for farmers, thus improving the
local economy (Meynard et al., 2018) and stimulating more resilient farming and food systems
(Bullock et al., 2017). To investigate how crop diversication inuences the performance of a crop
sequence, with focus on the subsequent cereal crop, this paper presents results from three dierent
eld experiments. The experiments were designed to assess the eects of grain legume sole crops
and grain legume-cereal intercrops as preceding crops, with and without the integration of cover
crops, on subsequent cereal crop grain yield, crop biomass and weed biomass.
Materials and Methods
Three eld experiments were carried out at SITES Lönnstorp research station, SLU, Alnarp
(55.65N, 13.06E) in a loam soil in 2015–2017 (Fig.1). Each experiment integrated several degrees
of crop diversication. Experiment 1 (Exp. 1) included the forage legumes lucerne (Medicago
44
Fig. 1. Illustration of the crop sequences in eld experiments. Precrop (preceding crops) were: faba bean,
pea and oat sole crops in Exp. 1; sole crops and grain legume-cereal intercrops of faba bean, pea and oat in
Exp. 2; and sole crops and grain legume-cereal intercrops of faba bean, pea (including a pea varietal mixture)
and wheat in Exp. 3. Cover crops included lucerne (Exp. 1 and 2), red clover (Exp. 1 and 2), legume-grass
mixtures (Exp. 1) and oil radish (Exp. 3).
sativa L.; CCluc) and red clover (Trifolium pratense L.; CCRC) and forage legume-grass mixtures
(a 50/50 mixture of lucerne and cocksfoot, Dactylis glomerata L.; CCgrass-luc, and a 50/50 mixture
of red clover and timothy, Phleum pratense L.; CCgrass-RC) under-sown in the preceding crop. The
preceding crop was a sole crop of either faba bean (Vicia faba L.), pea (Pisum sativum L.), or oat
(Avena sativa L.). Thereafter, the cover crops were left in the eld and their aboveground biomass
harvested twice during the subsequent growing season before they were destroyed mechanically
direct before establishing winter wheat (Triticum aestivum L.). Experiment 2 (Exp. 2) included forage
legumes (CCluc and CCRC) under-sown in the preceding crop (sole crops of faba bean, pea and oat, and
intercrops of each grain legume and oat), and destroyed in the subsequent spring before establishing
spring barley (Hordeum vulgare L.). Finally, in experiment 3 (Exp. 3), oil radish (Raphanus sativus
L.) was sown after harvest of the preceding crop (sole crops of faba bean, pea and spring wheat, a
mixture of two pea varieties (PeaVar-mix), and intercrops of the grain legumes and spring wheat), and
destroyed in the subsequent spring before establishing spring barley. The subsequent cereals were
fertilized during spring 2017 with 100 kg N ha-1 (winter wheat) and 60 kg N ha-1 (spring barley).
In Exp. 1, preceding crops and undersown cover crops were sown on 22 April 2015. The preceding
crops and cover crops in Exp. 2 were established on 22 April 2016, which was the same date as
the establishment of the preceding crops in Exp.3. Both subsequent cereals received a herbicide
treatment (Ariane S, 2 L ha-1) while the spring barley also received a fungicide treatment (Flexity,
0.3 L ha-1) during May 2017. Each experiment was a complete randomized block design with four
replicates and consisted of 12 m × 2 m plots for each crop sequence. Half of each plot surface (6
m × 2 m) was sown with the oil radish cover crop in Exp. 3, to compare crop and weed biomass
in subsequent spring barley with and without preceding cover crop. All the experiments were part
of the European project LEGATO (Legumes for the Agriculture of Tomorrow). Crop grain yield,
crop biomass and weed biomass were measured at harvest of the subsequent cereal. In Exp. 3,
grain yield of spring barley was measured in the entire experimental plot, without distinguishing
the eect of the cover crop. Analyses of variance were performed, with signicance level P<0.05
on linear mixed eect models R package lmerTest (Kuznetsova et al., 2017). Preceding crops and
cover crops were considered as xed eects while block was considered as random eect. Multiple
comparisons were tested using Tukey HSD method.
Results
There was no signicant eect of the preceding crops and cover crops on crop or weed biomass or
grain yield in the subsequent winter wheat in the Exp.1 (Table 1). On the contrary, the cover crops
clearly inuenced grain yield of spring barley in Exp. 2. For all the treatments, the grain yield was
45
signicantly higher (between 3–15%) in the treatments including forage legumes (CCluc or CCRC)
as cover crops compared to treatments without cover crop (Table 1). Preceding crop, on the other
hand, did not have any signicant eect on subsequent barley biomass or grain yield in Exp. 2.
Weed biomass in the spring barley crop was relatively low, and not aected by the preceding crop
or cover crop treatments (Table 1).
Table 1. Dry matter yield of subsequent cereals and weed biomass in crop sequences of
experiments 1 and 2 during 2015–2017. Data are presented as means (n = 4) with standard
errors (± SE). Means with dierent letters indicates signicant dierence at P<0.05 (uppercase
latter indicates signicance eect of cover crops). The abbreviations indicate treatments with no
cover crop (NoCC), lucerne cover crop (CCluc), red clover cover crop (CCRC), lucerne-cocksfoot
mixture cover crop (CCgrass-luc) and red clover-timothy mixture cover crop (CCgrass-RC)
Aboveground biomass and grain dry matter yields (Mg ha-1)
Exp. 1 Exp. 2
Wheat Weed Barley Weed
Treatments Biomass Grain Biomass Biomass Grain Biomass
Faba NoCC 10.1±0.9 5.8±0.4 2.0±0.3 10.1±0.2 6.7±0.2B 0.2±0.1
Faba + CCluc 11.5±1.6 6.1±0.9 1.8±0.6 10.5±1.7 7.3±0.1A 0.1±<0.1
Faba + CCRC 12.7±2.3 6.1±0.7 1.5±0.5 10.7±0.6 7.2±0.2AB 0.1±<0.1
Faba + CCgrass-luc 12.1±2.2 6.2±0.8 1.6±0.5
Faba + CCgrass-RC 11.2±1.9 5.4±0.8 1.8±0.5
Pea NoCC 12.7±1.9 6.4±0.6 1.3±0.6 8.6±0.7 6.4±0.3B 0.3±0.1
Pea + CCluc 9.1±1.2 4.7±0.2 2.5±0.2 11.3±0.2 7.1±0.2A 0.2±<0.1
Pea+ CCRC 10.6±1.6 5.0±0.7 2.1±0.6 10.0±0.9 7.1±<0.1A 0.3±0.2
Pea + CCgrass-luc 11.6±0.7 6.0±0.6 1.7±0.3
Pea + CCgrass-RC 9.1±0.8 4.8±0.3 2.4±0.3
Oat NoCC 12.4±1.0 6.4±0.8 1.1±0.2 9.2±1.0 6.6±0.2B 0.3±0.2
Oat + CCluc 11.0±0.7 5.3±0.5 2.0±0.3 10.9±0.7 6.8±0.1AB 0.2±0.1
Oat + CCRC 7.9±1.2 4.8±0.6 2.7±0.4 11.5±1.0 7.2±0.1A 0.2±0.1
Oat + CCgrass-lec 11.2±1.9 5.9±0.7 1.6±0.5
Oat + CCgrass-RC 9.5±1.4 4.8±0.4 3.0±0.5
Faba/Oat NoCC 9.9±0.8 6.4±0.1B 0.1±<0.1
Faba/Oat + CCluc 9.4±0.3 6.9±0.2AB 0.2±0.1
Faba/Oat + CCRC 9.6±0.4 7.4±0.2A 0.1±<0.1
Pea/Oat NoCC 8.5±0.2 6.5±0.1B 0.2±0.1
Pea/Oat + CCluc 11.3±0.4 7.0±0.1A 0.2±0.1
Pea/Oat + CCRC 11.2±1.5 6.9±0.2A 0.3±0.1
46
For most of the treatments in Exp. 3, preceding crops and cover crops showed an eect on the dry
weight biomass of the spring barley (Table 2). In the case of preceding crops followed by the oil
radish cover crop, spring barley biomass was greater after faba bean (12.6 Mg ha-1) than after wheat
(10.4 Mg ha-1) and faba bean/wheat (10 Mg ha-1). In terms of the cover crop eect, the spring barley
biomass was 9–20 % higher in treatments with the cover crop, and the dierence was signicant
in most of the treatments (the exception was after the faba bean-wheat intercrop). Grain yield after
faba bean and pea varietal mixture was signicantly higher than after wheat and faba bean/wheat.
Considering weed biomass, only wheat with cover crop showed a signicant reduction of the weed
biomass in the subsequent cereal compared to the same preceding crop without cover crop.
Table 2. Dry matter yield of subsequent cereal and weed biomass in crop sequences of
experiment 3 during 2016–2017. Data are presented as means (n = 4) with standard errors
SE). Means with dierent letters indicates signicant dierence at P<0.05 (uppercase
letters indicate signicant eects of cover crops, while lowercase letters indicate eects of the
preceding crop). The abbreviations indicate treatments with no cover crop (NoCC), oil radish
cover crop (CCOR) and mixture of two pea varieties (PeaVar-mix)
Aboveground biomass and grain dry matter yields (Mg ha-1)
Exp. 3
Barley Weed
Treatments Biomass Grain Biomass
Faba NoCC 10.7±0.5B 7.0±0.1a 0.1±<0.1
Faba + CCOR 12.6±0.2Aa 0.1±<0.1
Pea NoCC 9.9±0.6B 6.8±0.2ab 0.2±0.1
Pea+ CCOR 11.4±0.4Aab 0.1±0.1
Wheat NoCC 9.5±0.7B 6.1±0.3b 0.2±0.1A
Wheat + CCOR 10.4±0.3Ab <0.1±<0.1B
Faba/Wheat NoCC 9.8±0.4 6.1±0.1b 0.2±<0.1
Faba/Wheat + CCOR 10.0±0.4b 0.3±0.1
PeaVar-mix NoCC 10.2±0.6B 6.9±0.2a 0.2±<0.1
PeaVar-mix + CCOR 11.6±0.4Aab 0.1±0.1
PeaVar-mix/Wheat NoCC 9.0±0.2B 6.5±0.1ab 0.2±<0.1
PeaVar-mix/Wheat + CCOR 10.8±0.4Aab 0.2±0.1
Discussion
Our results conrmed the positive eect of diversifying cereal-based cropping systems by including
grain legumes or legume-based cover crops in the crop sequence. Legumes are known to increase the
total pool of soil nitrogen though the addition of biologically xed N in crop residues (Hauggaard-
Nielsen et al., 2009). This N input can improve the yields of subsequent crops in the rotation if
the increased soil N availability is in synchrony with the N demand of the subsequent crop. The
results from Exps 2 and 3 in our study showed several cases of increased cereal grain yields after
legume cover crops or grain legume preceding crops, which indicates that more soil N might have
been available to the cereal in these treatments than when no legume was present either as cover
crop or as preceding main crop. However, the amount of soil mineral nitrogen being available for
47
the subsequent cereal crop may vary depending on the cover crop treatment, with lower levels in
mixtures of forage legumes and grasses compared to sole legume cover crops, since grasses may
diminish net nitrogen mineralisation. A potential tradeo thus exists between growing pure legume
cover crops for the benet of subsequent cereal productivity, and growing non-legume or mixed
cover crops to reduce the risk of N losses, Valkama et al. (2015) showed that pure legume cover
crops do not reduce N leaching.
There was an almost consistent positive eect of the oil radish cover crop on biomass production
of subsequent spring barley. Even though we could not distinguish potential eects of oil radish on
grain yield of the subsequent spring barley, the positive eect on barley biomass is an indication
of increased productivity that is likely to also increase grain yield. Oil radish established after the
harvest of a main crop and growing during autumn is known to reduce N losses (Aronsson et al.,
2016), and it is possible that mineralisation of the frost-killed oil radish biomass leads to increased
soil N availability for the subsequent spring cereal compared to when the soil is left uncovered
during autumn.
While previous research has shown that crop diversication through intercropping or integration
of cover crops can reduce the weed abundance in subsequent crops (Finney et al., 2016; MacLaren
et al., 2019), we did not nd any signicant reduction of weed biomass in the cereal crops grown
after the diversied crop sequences in our study. One reason for this may be that some of the
cover crop species tended to regrow in the subsequent crop, where the cover crop appeared as a
weed. Indeed, red clover was encountered among weeds in Exp. 1, which highlights the risk of
competitive cover crop species causing problems when reappearing as weeds later on in the crop
rotation (MacLaren et al., 2019).
Overall, our results showed that crop diversication through the integration of grain legumes,
intercrops and cover crops either had positive eects or did not inuence crop yields and weed
reduction in the studied crop sequences. Considering other known benets of crop diversication,
e.g. improved nitrogen use eciency, reduced risk of nutrient losses and positive eects on
associated biodiversity, also the lack of negative eects on crop yield and weed reduction should
be seen as an advantage in a whole-system assessment. In conclusion, increased crop diversity
across spatial and temporal scales can contribute to resource-ecient farming systems and reduce
economic risk for farmers, improving local economy and thus enhancing sustainable food systems.
Acknowledgements
The eld experiments used in this study were part of the LEGATO project (LEGumes for the
Ariculture of TOmorrow), which received funding from the European Union FP7 under grant
agreement no 613551. We acknowledge the SITES Lönnstorp Research Station for technical
management of the eld experiments.
References
Aronsson H, Hansen E M, Thomsen I K, Liu J, Øgaard A F, Känkänen H, Ulén B. 2016.
The ability of cover crops to reduce nitrogen and phosphorus losses from arable land in southern
Scandinavia and Finland. Journal of Soil and Water Conservation 71:41–55. http://dx.doi.org/
https://10.2489/jswc.71.1.41.
Bullock J M, Dhanjal-Adams K L, Milne A, Oliver T H, Todman L C, Whitmore A P, Pywell
R F. 2017. Resilience and food security: rethinking an ecological concept. Journal of Ecology
105:880–884. http://dx.doi.org/10.1111/1365-2745.12791.
Finney D M, White C M, Kaye J P. 2016. Biomass production and carbon/nitrogen ratio inuence
ecosystem services from cover crop mixtures. Agronomy Journal 108:39–52. http://dx.doi.org/
https://10.2134/agronj15.0182.
48
Hauggaard-Nielsen H, Mundus S, Jensen E S. 2009. Nitrogen dynamics following grain
legumes and subsequent catch crops and the eects on succeeding cereal crops. Nutrient Cycling
in Agroecosystems 84:281–291. http://dx.doi.org/https://10.1007/s10705-008-9242-7.
Jensen E S, Peoples M B, Hauggaard-Nielsen H. 2010. Faba bean in cropping systems. Field
Crops Research 115:203–216. http://dx.doi.org/10.1016/j.fcr.2009.10.008.
Kuznetsova A, Brockho P B, Christensen R H B. 2017. lmerTest Package: Tests in Linear
Mixed Eects Models. Journal of Statistical Software 82(13). http://dx.doi.org/https://10.18637/
jss.v082.i13.
Lin B B. 2011. Resilience in Agriculture through Crop Diversication: Adaptive Management for
Environmental Change. BioScience 61:183–193. http://dx.doi.org/10.1525/bio.2011.61.3.4.
MacLaren C, Swanepoel P, Bennett J, Wright J, Dehnen-Schmutz K. 2019. Cover Crop Biomass
Production Is More Important than Diversity for Weed Suppression. Crop Science 59:733–748.
http://dx.doi.org/https://10.2135/cropsci2018.05.0329.
Meynard J-M, Charrier F, Fares M H, Le Bail M, Magrini M-B, Charlier A, Messéan A.
2018. Socio-technical lock-in hinders crop diversication in France. Agronomy for Sustainable
Development 38:54. http://dx.doi.org/https://10.1007/s13593-018-0535-1.
Valk ama E , Le mol a R, K än kän en H , Turt ol a E. 20 15. Meta-analysis of the eects of undersown
catch crops on nitrogen leaching loss and grain yields in the Nordic countries. Agriculture,
Ecosystems and Environment 203:93–101. http://dx.doi.org/10.1016/j.agee.2015.01.023.
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Biotic resistance theory suggests that diverse cover crop mixes may be more effective at weed suppression than a cover crop monoculture. However, evidence for this has so far been inconsistent. To investigate, we designed a trial to explicitly test the role of cover crop diversity in weed suppression, through comparing eight cover crop mixes that varied in species diversity, functional diversity, and composition. Mixes contained either one, four or eight species, in equal proportions. Three mixes contained only cereal species, three contained only legumes, and two contained a mix of cereals, legumes and brassicas. Research was conducted on two farms in South Africa's winter rainfall region, replicated over two years. Indicators of resource uptake by each mix in terms of light, soil nitrogen and water were measured at three time points throughout the season, approx. 50, 85 and 110 days after establishment (DAE). Aboveground biomass (dry weight) of cover crops and weeds within each mix was measured twice, at approximately 70 and 120 DAE. Regression analyses indicated that cover crop biomass was key to resource uptake and weed suppression, and that early-season nitrogen and later-season light availability had the 2 strongest influence on weed biomass. Neither species diversity nor functional diversity affected resource uptake or weed suppression by cover crops. These results indicate that it is important to consider the competitiveness of individual species when designing cover crop mixes. Diverse mixes remain valuable to perform multiple functions, but may contribute to weed problems if composed of poorly competitive species.
Article
Full-text available
Crop diversification is considered as a major lever to increase the sustainability of arable farming systems, allowing reduced inputs (irrigation water, pesticides, fertilizers), increasing the heterogeneity of habitat mosaics, or reducing yield gap associated with too frequent returns of the same species. To free up paths of collective action, this article highlights obstacles to crop diversification, existing at various levels of the value chains. We used a threefold approach: (i) a cross-cutting analysis of impediments to the development of 11 diversifying crops (5 species of grain legumes, alfalfa, flax, hemp, linseed, mustard, sorghum), based on published documents and on 30 interviews of stakeholders in French value chains; (ii) a detailed study (55 semi-structured surveys, including 39 farmers) of three value chains: pea and linseed for animal feed, hemp for insulation and biomaterials; and (iii) a bibliometric analysis of the technical journals and websites (180 articles) to characterize the nature of information diffused to farmers. We highlight that the development of minor crops is hindered by a socio-technical lock-in in favor of the dominant species (wheat, rapeseed, maize, etc.). We show for the first time that this lock-in is characterized by strongly interconnected impediments, occurring at every link of the value chains, such as lack of availability of improved varieties and methods of plant protection, scarcity of quantified references on crop successions, complexity of the knowledge to be acquired by farmers, logistical constraints to harvest collection, and difficulties of coordination within the emerging value chains. On the basis of this lock-in analysis, that could concern other European countries, the article proposes levers aimed at encouraging actors to incorporate a greater diversity of crops into their productive systems: adaptation of standards and labelling, better coordination between stakeholders to fairly share added value within value chains, and combination of genetic, agronomic, technological, and organizational innovations.
Article
Full-text available
One of the frequent questions by users of the mixed model function lmer of the lme4 package has been: How can I get p values for the F and t tests for objects returned by lmer? The lmerTest package extends the 'lmerMod' class of the lme4 package, by overloading the anova and summary functions by providing p values for tests for fixed effects. We have implemented the Satterthwaite's method for approximating degrees of freedom for the t and F tests. We have also implemented the construction of Type I - III ANOVA tables. Furthermore, one may also obtain the summary as well as the anova table using the Kenward-Roger approximation for denominator degrees of freedom (based on the KRmodcomp function from the pbkrtest package). Some other convenient mixed model analysis tools such as a step method, that performs backward elimination of nonsignificant effects - both random and fixed, calculation of population means and multiple comparison tests together with plot facilities are provided by the package as well.
Article
Full-text available
This review summarizes current knowledge from the literature and experimental studies on the role of cover crops (CCs) in reducing nitrogen (N) leaching and phosphorus (P) losses to waters under the marine and humid continental climate conditions of southern Scandinavia and Finland. Field leaching studies from 11 sites indicate that undersown ryegrass (Lolium spp.) CCs are robust, with average N uptake in aboveground CC biomass of 7 to 38 kg N ha(-1) (6.2 to 34 lb N ac(-1)). Use of CCs sown at harvest (e.g., crucifers) is restricted to southern Scandinavia for climate reasons. The mean relative reduction in N leaching reported for all CCs investigated was 43%, but it ranged between 62% increase instead of a reduction after a red clover (Trifolium pratense) CC on a clay soil to a reduction of 85% to 89% with a perennial ryegrass CC on sandy soils in Denmark (36 to 51 kg ha(-1) [32 to 46 lb ac(-1)]). The data indicate that CCs do not substantially reduce total P losses by runoff and leaching. The effects of CCs on total P leaching varied between a relative increase of 86% and a decrease of 43%. Climate conditions involving freezing-thawing during winter increased the risk of losses of dissolved P from CC biomass. CCs have been implemented to varying degrees into agri-environmental programs. They are mandatory in Denmark and subsidized in Norway, Sweden, and Finland. CCs are grown on 8% of arable land in Denmark, 5% in Sweden, 1% in Finland, and 0.5% in Norway, but CC area is now increasing dramatically in Finland due to a new subsidy program. In all countries there is a need, and potential, for increased use of CCs, but there are several constraints, particularly reduced interest among farmers. There is a clear need to identify CC systems and develop implementation strategies for appropriate distribution of CCs on different soils and regions with respect to required reductions in N leaching and P losses. For this, more knowledge is required, especially about the effect of CCs on P losses (e.g., the effect of species with different partitioning between shoot and root biomass and the effects of CC systems with harvesting of biomass). There is also a need to devise balanced solutions for maintaining and increasing the frequency of CCs in crop rotations to exploit the possible benefits of CCs in reducing nutrient losses.
Article
Full-text available
Increasing plant diversity in agroecosystems with cover crops has been a successful strategy to augment ecosystem services from agriculture, and increasing diversity of cover crops may provide even greater benefits. Productivity and ecosystem services from multi-species cover crop mixtures were measured in a 2-yr field study of 18 cover crop treatments preceding conventionally tilled corn in central Pennsylvania. Increasing the number of species in a stand increased cover crop biomass (R2 = 0.15). However, mixing cover crop species that were complementary in phenology or N acquisition strategy did not result in mixtures that produced more biomass than high yielding monocultures. Increasing cover crop biomass was positively correlated with several ecosystem services, namely weed suppression, prevention of nitrate leaching, and aboveground biomass N, but negatively impacted inorganic N availability and corn yield in the subsequent cropping season. The cover crop C/N ratio was another determinant of ecosystem services positively related to nitrate leaching prevention, but negatively related to inorganic N availability and corn yield. This study supports the long-held assumption that increasing biomass can enhance certain ecosystem services from cover crops; however, because the mixtures tested did not produce more biomass than high yielding monocultures, opportunities to increase biomassdriven services with mixtures may be limited. The correlation between biomass C/N ratio and ecosystem services in this study also indicates that functional traits, as opposed to biomass alone, will be important for predicting ecosystem services from cover crop mixtures.
Article
Full-text available
Recognition that climate change could have negative consequences for agricultural production has generated a desire to build resilience into agricultural systems. One rational and cost-effective method may be the implementation of increased agricultural crop diversification. Crop diversification can improve resilience in a variety of ways: by engendering a greater ability to suppress pest outbreaks and dampen pathogen transmission, which may worsen under future climate scenarios, as well as by buffering crop production from the effects of greater climate variability and extreme events. Such benefits point toward the obvious value of adopting crop diversification to improve resilience, yet adoption has been slow. Economic incentives encouraging production of a select few crops, the push for biotechnology strategies, and the belief that monocultures are more productive than diversified systems have been hindrances in promoting this strategy. However, crop diversification can be implemented in a variety of forms and at a variety of scales, allowing farmers to choose a strategy that both increases resilience and provides economic benefits.
Article
Focusing on food production, in this paper we define resilience in the food security context as maintaining production of sufficient and nutritious food in the face of chronic and acute environmental perturbations . In agri‐food systems, resilience is manifest over multiple spatial scales: field, farm, regional and global. Metrics comprise production and nutritional diversity as well as socio‐economic stability of food supply. Approaches to enhancing resilience show a progression from more ecologically based methods at small scales to more socially based interventions at larger scales. At the field scale, approaches include the use of mixtures of crop varieties, livestock breeds and forage species, polycultures and boosting ecosystem functions. Stress‐tolerant crops, or with greater plasticity, provide technological solutions. At the farm scale, resilience may be conferred by diversifying crops and livestock and by farmers implementing adaptive approaches in response to perturbations. Biodiverse landscapes may enhance resilience, but the evidence is weak. At regional to global scales, resilient food systems will be achieved by coordination and implementation of resilience approaches among farms, advice to farmers and targeted research. Synthesis . Threats to food production are predicted to increase under climate change and land degradation. Holistic responses are needed that integrate across spatial scales. Ecological knowledge is critical, but should be implemented alongside agronomic solutions and socio‐economic transformations.
Article
The effects of faba bean, lupin, pea and oat crops, with and without an undersown grass-clover mixture as a nitrogen (N) catch crop, on subsequent spring wheat followed by winter triticale crops were determined by aboveground dry matter (DM) harvests, nitrate (NO3) leaching measurements and soil N balances. A 2½-year lysimeter experiment was carried out on a temperate sandy loam soil. Crops were not fertilized in the experimental period and the natural 15N abundance technique was used to determine grain legume N2 fixation. Faba bean total aboveground DM production was significantly higher (1,300gm−2) compared to lupin (950gm−2), pea (850gm−2) and oat (1,100gm−2) independent of the catch crop strategy. Faba bean derived more than 90% of its N from N2 fixation, which was unusually high as compared to lupin (70–75%) and pea (50–60%). No effect of preceding crop was observed on the subsequent spring wheat or winter triticale DM production. Nitrate leaching following grain legumes was significantly reduced with catch crops compared to without catch crops during autumn and winter before sowing subsequent spring wheat. Soil N balances were calculated from monitored N leaching from the lysimeters, and measured N-accumulation from the leguminous species, as N-fixation minus N removed in grains including total N accumulation belowground according to Mayer et al. (2003a). Negative soil N balances for pea, lupin and oat indicated soil N depletion, but a positive faba bean soil N balance (11gNm−2) after harvest indicated that more soil mineral N may have been available for subsequent cereals. However, the plant available N may have been taken up by the grass dominated grass-clover catch crop which together with microbial N immobilization and N losses could leave limited amounts of available N for uptake by the subsequent two cereal crops.
Article
The grain legume (pulse) faba bean (Vicia faba L.) is grown world-wide as a protein source for food and feed. At the same time faba bean offers ecosystem services such as renewable inputs of nitrogen (N) into crops and soil via biological N2 fixation, and a diversification of cropping systems. Even though the global average grain yield has almost doubled during the past 50 years the total area sown to faba beans has declined by 56% over the same period. The season-to-season fluctuations in grain yield of faba bean and the progressive replacement of traditional farming systems, which utilized legumes to provide N to maintain soil N fertility, with industrialized, largely cereal-based systems that are heavily reliant upon fossil fuels (=N fertilizers, heavy mechanization) are some of the explanations for this decline in importance. Past studies of faba bean in cropping systems have tended to focus on the effect of faba bean as a pre-crop in mainly cereal intensive rotations, whereas similar information on the effect of preceding crops on faba bean is lacking. Faba bean has the highest average reliance on N2 fixation for growth of the major cool season grain legumes. As a consequence the N benefit for following crops is often high, and several studies have demonstrated substantial savings (up to 100–200 kg N ha−1) in the amount of N fertilizer required to maximize the yield of crops grown after faba bean. There is, however, a requirement to evaluate the potential risks of losses of N from the plant–soil system associated with faba bean cropping via nitrate leaching or emissions of N2O to the atmosphere as a consequence of the rapid mineralization of N from its N-rich residues. It is important to develop improved preventive measures, such as catch crops, intercropping, or no-till technologies, in order to provide farmers with strategies to minimize any possible undesirable effects on the environment that might result from their inclusion of faba bean in cropping system. This needs to be combined with research that can lead to a reduction in the current extent of yield variability, so that faba bean may prove to be a key component of future arable cropping systems where declining supplies and high prices of fossil energy are likely to constrain the affordability and use of fertilizers. This will help address the increasing demand by consumers and governments for agriculture to reduce its impact on the environment and climate through new, more sustainable approaches to food production. The aims of this paper are to review the role of faba bean in global plant production systems, the requirements for optimal faba bean production and to highlight the beneficial effects of faba bean in cropping systems.