Hans-Peter Piepho

Hohenheim University, Stuttgart, Baden-Württemberg, Germany

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Publications (145)388.32 Total impact

  • Waqas Ahmed Malik · Hans-Peter Piepho
    Journal of Statistical Computation and Simulation 09/2015; DOI:10.1080/00949655.2015.1081688 · 0.64 Impact Factor
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    Joseph O Ogutu · Norman Owen-Smith · Hans-Peter Piepho · Holly T. Dublin
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    ABSTRACT: In high temperate latitudes, ungulates generally give birth within a narrow time window when conditions are optimal for offspring survival in spring or early summer, and use changing photoperiod to time conceptions so as to anticipate these conditions. However, in low tropical latitudes day length variation is minimal, and rainfall variation makes the seasonal cycle less predictable. Nevertheless, several ungulate species retain narrow birth peaks under such conditions, while others show births spread quite widely through the year. We investigated how within-year and between-year variation in rainfall influenced the reproductive timing of four ungulate species showing these contrasting patterns in the Masai Mara region of Kenya. All four species exhibited birth peaks during the putative optimal period in the early wet season. For hartebeest and impala, the birth peak was diffuse and offspring were born throughout the year. In contrast, topi and warthog showed a narrow seasonal concentration of births, with conceptions suppressed once monthly rainfall fell below a threshold level. High rainfall in the previous season and high early rains in the current year enhanced survival into the juvenile stage for all the species except impala. Our findings reveal how rainfall variation affecting grass growth and hence herbivore nutrition can govern the reproductive phenology of ungulates in tropical latitudes where day length variation is minimal. The underlying mechanism seems to be the suppression of conceptions once nutritional gains become insufficient. Through responding proximally to within-year variation in rainfall, tropical savanna ungulates are less likely to be affected adversely by the consequences of global warming for vegetation phenology than northern ungulates showing more rigid photoperiodic control over reproductive timing.
    PLoS ONE 08/2015; 10(8). DOI:10.1371/journal.pone.0133744 · 3.23 Impact Factor
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    ABSTRACT: Livestock forms an integral part and contributes in multiple ways to the livelihoods of smallholder farmers in the crop-livestock systems of Ethiopia. This study presents empirical evidence of the relative importance of the consumption of dairy products to family nutrition and factors underlying differences among farm households. Cattle owning households (n=270) and their under-5-year-old children (n=225) were sampled for this study. Multiple approaches were applied for data collection, including a cross-sectional survey, in-depth household monitoring, a dietary diversity survey and anthropometric measurements of children. Household dietary diversity scores were low (4.6±1.3), mainly comprising maize, Enset, green kales and milk products. The consumption of non-dairy Animal Source Foods (ASF: beef, mutton, chicken meat, eggs and fish) was low, intermittent and peaked during major religious or social festivities. Canonical Correlation Analysis (CCA) revealed substantial associations between anthropometric indices of children and socioeconomic status of their parents. Specifically, predictors assigned the greatest weights, in descending order, were per capita farmland size, family size, access to clean water, crop diversity, dependency ratio, livestock holding, cash income, literacy of household head, distance to public health centres, and volume of milk available in the households. Although cow milk was identified as an important food item for children, their nutritional status was influenced by manifold factors that affect their dietary quality, health and care. Therefore, holistic approaches that embrace effective coordination among different economic sectors - notably agriculture, public health education and provision of clean water are required to achieve food and nutritional security among farming households.
    Food Security 08/2015; DOI:10.1007/s12571-015-0487-0 · 1.50 Impact Factor
  • Jens Möhring · Emlyn Williams · Hans-Peter Piepho
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    ABSTRACT: Key message Comparing standard errors of treatment differences using fixed or random block effects with the approximation of Kackar and Harville helps in choosing the preferable assumption for blocks in the analysis of field experiments. Abstract Blocked designs are common in plant breeding field trials. Depending on the precision of variance estimates, recovery of inter-block information via random block effects may be worthwhile. A challenge in practice is to decide when recovery of information should be pursued. To investigate this question, a series of sugar beet trials laid out as α-designs were analysed assuming fixed or random block effects. Additionally, small trials laid out as α-designs or partially replicated designs were simulated and analysed assuming fixed or random block effects. Nine decision rules, including the Kackar–Harville adjustment, were used for choosing the better assumption regarding the block effects. In general, use of the Kackar–Harville adjustment works well and is recommended for partially replicated designs. For α-designs, using inter-block information is preferable for designs with four or more blocks.
    Theoretical and Applied Genetics 05/2015; 128(8). DOI:10.1007/s00122-015-2530-0 · 3.79 Impact Factor
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    ABSTRACT: Genomic prediction is revolutionizing plant and animal breeding but its accuracy is affected by multiple factors. Here, we simulate 24 scenarios, each with 1000 datasets, to evaluate how varying the genetic variance (small, large) number of genotypes (180, 360, 540 and 698) and markers (2912, 5823 and 11646) affects the relative performance of seven competing methods for accuracy estimation in genomic prediction in plant breeding programs. Each method was used to estimate predictive accuracy and the estimates compared between methods and with the true accuracy simulated for each scenario as the gold standard. The genetic variance, number of genotypes and markers strongly and jointly influenced estimation accuracy. Accuracy was highest when the genetic variance was large and the numbers of genotypes (n= 698) and markers (n= 11646) were highest. A recently proposed method (Method 5) and a method commonly used in animal breeding (Method 7) produced the most globally accurate, precise and stable estimates of accuracy. Among the methods that use cross-validation (Methods 1-4 and 6), Method 4 gave the most stable estimates of accuracy. Reducing genetic variance whilst increasing the numbers of genotypes and markers considerably prolonged the computing time for all methods. Thus, for quantitative traits with sizable genetic variances, considering about 700 genotypes and 12000 markers and using Method 5 or 7 should yield accurate estimates in genomic prediction in plant breeding.
    Crop Science 04/2015; DOI:10.2135/cropsci2014.09.0620 · 1.58 Impact Factor
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    ABSTRACT: A high resolution proteome and phosphoproteome atlas of four maize primary root tissues including cortex, stele, meristematic and elongation zone was generated. High performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS) identified 11,552 distinct nonmodified and 2,852 phosphorylated proteins across the four root tissues. Two gradients reflecting the abundance of functional protein classes along the longitudinal root axis were observed. While the classes "RNA", "DNA" and "protein" peaked in the meristematic zone, "cell wall", "lipid metabolism", "stress", "transport", and "secondary metabolism" culminated in the differentiation zone. Functional specialization of tissues is underscored by six of ten cortex-specific proteins involved in flavonoid biosynthesis. Comparison of the present dataset with high resolution seed and leaf proteome studies revealed 13% (1,504/11,552) root-specific proteins. While only 23% of the 1,504 root-specific proteins accumulated in all four root tissues 61% of all 11,552 identified proteins accumulated in all four root tissues. This suggests a much higher degree of tissue-specific functionalization of root-specific proteins. In summary, the presented data illustrate the remarkable plasticity of the proteomic landscape of maize primary roots and thus provide a starting point for gaining a better understanding of their tissue-specific functions. Copyright © 2015, Plant Physiology.
    Plant physiology 03/2015; 168(1). DOI:10.1104/pp.15.00138 · 6.84 Impact Factor
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    Crop Science 01/2015; DOI:10.2135/cropsci2014.09.0633 · 1.58 Impact Factor
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    ABSTRACT: Sorghum (Sorghum bicolor (L.) Moench) is widely cultivated in West Africa (WA) on soils with low phosphorus (P) availability. Large genetic variation for grain yield (GY) under low-P conditions was observed among WA sorghum genotypes, but information is lacking on the usefulness of P-tolerance ratios (relative performance in -P [no P fertilizer] vs. +P [with P fertilizer] conditions) and measures of P-acquisition and internal P-use efficiency as selection criteria for enhancing GY under low-P conditions. We evaluated 70 WA sorghum genotypes for GY performance under −P and +P conditions for 5 yr in two locations in Mali and assessed P acquisition (e.g., P content in biomass) and P-use efficiency (e.g., grain produced per unit P uptake) traits under −P and +P conditions in one site in 2010. Significant genetic variation existed for all P-tolerance ratios across multiple sites. Photoperiod- sensitive landrace genotypes showed significantly better P tolerance and less delay of heading under P-limited conditions compared with photoperiod-insensitive varieties. Genotypic correlations of P-tolerance ratios to GY under −P were moderate. Phosphorous acquisition and P-use efficiency traits independent of harvest index were of similar importance for GY under −P conditions in statistically independent trials. However grain-P and stover-P concentrations from one −P trial showed only weak correlations with GYs in statistically independent trials. Highest predicted gains for −P GY were obtained by theoretical index selection based on −P GY combined with P-use efficiency traits (e.g., low-grain P concentration). Such index selection is expected to achieve both increased sorghum productivity and P sustainability in the P-limited WA production systems.
    Crop Science 01/2015; 55(3):1-11. DOI:10.2135/cropsci2014.05.0392 · 1.58 Impact Factor
  • Hans-Peter Piepho · Emlyn R. Williams · Volker Michel
    Agronomy journal 01/2015; DOI:10.2134/agronj15.0144 · 1.44 Impact Factor
  • Thomas Eckl · Hans-Peter Piepho
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    ABSTRACT: Field trials with perennial grasses may often be conducted at several locations with different starting years. A key issue in the analysis of such trials is the distinction between effects of calendar years, which are associated with external environmental variation, and harvest years, which represent internal yield formation processes of the perennial crop. Furthermore, analysis of field trials with perennial grasses needs to account for serial correlation of observations on the same plot from consecutive harvest years. Such analyses are conveniently implemented using mixed models. Here, we consider series of trials when the target region is subdivided into several zones. We show how cultivar yield means per zone can be estimated borrowing strength across zones. The proposed mixed models are illustrated using simulated data generated by employing variance component estimates from real experiments. It is shown in simulations that best linear unbiased prediction (BLUP) can provide more precise zone-specific mean estimates than alternative methods.
    Crop Science 01/2015; DOI:10.2135/cropsci2014.04.0327 · 1.58 Impact Factor
  • Joseph O Ogutu · Hans-Peter Piepho · Holly T Dublin
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    ABSTRACT: Context. Reproductive seasonality in ungulates has important fitness consequences but its relationship to resource seasonality is not yet fully understood, especially for ungulates inhabiting equatorial environments. Aims. We test hypotheses concerning synchronisation of conception or parturition peaks among African ungulates with seasonal peaks in forage quality and quantity, indexed by rainfall. Methods. We relate monthly apparent fecundity and juvenile recruitment rates to monthly rainfall for six ungulate species inhabiting the Masai Mara National Reserve (Mara) of Kenya, using cross-correlation analysis and distributed lag non-linear models. We compare the phenology and synchrony of breeding among the Mara ungulates with those for other parts of equatorial East Africa, with bimodal rainfall and less seasonal forage variation, and for subtropical southern Africa, with unimodal rainfall distribution and greater seasonal forage variation. Key results. Births were more synchronised for topi, warthog and zebra than for hartebeest, impala and giraffe in the Mara, and for impala and hartebeest in southern than in eastern Africa. This pattern is likely to reflect regional differences in climate and plant phenology, hider–follower dichotomy and grazing versus browsing. All six species except the browsing giraffe apparently time the conception to occur in one wet season and births to occur just before the onset or during the next wet season, so as to maximise high-quality forage intake during conception and parturition. Fecundity and recruitment rates among the African ungulates peak at intermediate levels of rainfall and are reduced at low or excessive levels of rainfall. Fecundity rate is most strongly positively correlated with rainfall pre-conception, during conception and during early gestation, followed by rainfall at about the time of parturition for all the grazers. For giraffe, fecundity rate is most strongly correlated with rainfall during the gestation period. Conclusions. Rainfall seasonality strongly influences reproductive seasonality and juvenile recruitment among African ungulates. The interaction of the rainfall influence with life-history traits and other factors leads to wide interspecific and regional variation. Implications. Global climate change, especially widening annual rainfall variation expected to result from global warming, could reduce the predictability of the timing of peak forage availability and quality based on meteorological cues, the length of time with adequate nutrition or both, and hence reduce reproductive success among tropical ungulates.
    Wildlife Research 12/2014; 41(4):323-342. DOI:10.1071/WR13211 · 1.49 Impact Factor
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    ABSTRACT: Key message CMS-based triticale hybrids showed only marginal midparent heterosis for grain yield and lower dynamic yield stability compared to inbred lines. Abstract Hybrids of triticale (×Triticosecale Wittmack) are expected to possess outstanding yield performance and increased dynamic yield stability. The objectives of the present study were to (1) examine the optimum choice of the biometrical model to compare yield stability of hybrids versus lines, (2) investigate whether hybrids exhibit a more pronounced grain yield performance and yield stability, and (3) study optimal strategies to predict yield stability of hybrids. Thirteen female and seven male parental lines and their 91 factorial hybrids as well as 30 commercial lines were evaluated for grain yield in up to 20 environments. Hybrids were produced using a cytoplasmic male sterility (CMS)-inducing cytoplasm that originated from Triticumtimopheevii Zhuk. We found that the choice of the biometrical model can cause contrasting results and concluded that a group-by-environment interaction term should be added to the model when estimating stability variance of hybrids and lines. midparent heterosis for grain yield was on average 3 % with a range from −15.0 to 11.5 %. No hybrid outperformed the best inbred line. Hybrids had, on average, lower dynamic yield stability compared to the inbred lines. Grain yield performance of hybrids could be predicted based on midparent values and general combining ability (GCA)-predicted values. In contrast, stability variance of hybrids could be predicted only based on GCA-predicted values. We speculated that negative effects of the used CMS cytoplasm might be the reason for the low performance and yield stability of the hybrids. For this purpose a detailed study on the reasons for the drawback of the currently existing CMS system in triticale is urgently required comprising also the search of potentially alternative hybridization systems.
    Theoretical and Applied Genetics 12/2014; 128(2). DOI:10.1007/s00122-014-2429-1 · 3.79 Impact Factor
  • Emlyn R. Williams · Hans-Peter Piepho
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    ABSTRACT: Designs exhibiting super-valid restricted randomization have been proposed as alternatives to efficient row–column designs in situations where the column variance component is small. This paper examines some existing uniformity data and results from two field variety trial programs and concludes that in these situations efficient row–column designs are to be preferred.
    Journal of Agricultural Biological and Environmental Statistics 12/2014; 19(4). DOI:10.1007/s13253-014-0186-x · 0.91 Impact Factor
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    ABSTRACT: Maize (Zea mays) displays an exceptional level of structural genomic diversity, which is likely unique among higher eukaryotes. In this study, we surveyed how the genetic divergence of two maize inbred lines affects the transcriptomic landscape in four different primary root tissues of their F1-hybrid progeny. An extreme instance of complementation was frequently observed: genes that were expressed in only one parent but in both reciprocal hybrids. This single-parent expression (SPE) pattern was detected for 2341 genes with up to 1287 SPE patterns per tissue. As a consequence, the number of active genes in hybrids exceeded that of their parents in each tissue by >400. SPE patterns are highly dynamic, as illustrated by their excessive degree of tissue specificity (80%). The biological significance of this type of complementation is underpinned by the observation that a disproportionally high number of SPE genes (75 to 82%) is nonsyntenic, as opposed to all expressed genes (36%). These genes likely evolved after the last whole-genome duplication and are therefore younger than the syntenic genes. In summary, SPE genes shape the remarkable gene expression plasticity between root tissues and complementation in maize hybrids, resulting in a tissue-specific increase of active genes in F1-hybrids compared with their inbred parents.
    The Plant Cell 10/2014; 26(10). DOI:10.1105/tpc.114.130948 · 9.34 Impact Factor
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    Friedrich Laidig · Hans-Peter Piepho · Thomas Drobek · Uwe Meyer
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    ABSTRACT: Key message Yield progress in major German crops is generated mostly due to genetic improvement over the last 30 years. Comparison of trial-station with on-farm yield reveals considerable gaps that are widening over time. Abstract Yield progress of newly released varieties for 12 crops from official German trials over the period 1983 until 2012 was analysed to assess their value for cultivation and use (VCU). We paid special attention to dissect progress into a genetic and a non-genetic (agronomic) trend in order to quantify the contribution made by new varieties and by agronomic factors. In this study, we apply mixed models including regression components for genetic and agronomic trends. Ageing effects, depending on the difference of the actual testing year and the first year of testing of a particular variety, were estimated from the difference of fungicide and non-fungicide-treated trial pairs. Significant yield losses were found in all cereal crops due to assumed ageing effects. We compared national on-farm with official VCU trial yields with particular focus on whether gaps are widening over time. Results indicated a significant widening over time. In order to facilitate comparisons of results across crops, we calculated percent rates based on 1983 yield levels obtained from regression estimates. Most of the yield progress was generated by genetic improvement, and was linear showing no levelling-off. Ageing and selection effects need to be taken into account, because they may lead to overestimation of genetic trends. This study showed that contribution of agronomic factors is of minor importance in overall yield progress. Electronic supplementary material The online version of this article (doi:10.1007/s00122-014-2402-z) contains supplementary material, which is available to authorized users.
    Theoretical and Applied Genetics 10/2014; 127(12). DOI:10.1007/s00122-014-2402-z · 3.79 Impact Factor
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    ABSTRACT: Outliers often pose problems in analyses of data in plant breeding but their influence on the performance of methods for estimating predictive accuracy in genomic prediction studies has not yet been evaluated. Here, we evaluate the influence of outliers on the performance of methods for accuracy estimation in genomic prediction studies using simulation. We simulated 1000 datasets for each of 10 scenarios to evaluate the influence of outliers on the performance of seven methods for estimating accuracy. These scenarios are defined by the number of genotypes, marker effect variance and magnitude of outliers. To mimic outliers, we added to one observation in each simulated data set, in turn, 5, 8 and 10 times the error standard deviation used to simulate small and large phenotypic datasets. The effect of outliers on accuracy estimation was evaluated by comparing deviations in the estimated and true accuracies for data sets with and without outliers. Outliers adversely influenced accuracy estimation, more so at small values of genetic variance or number of genotypes. A method for estimating heritability and predictive accuracy in plant breeding and another used to estimate accuracy in animal breeding were the most accurate and resistant to outliers across all scenarios and are therefore preferable for accuracy estimation in genomic prediction studies. The performances of all the other five methods that use cross-validation were less consistent and varied widely across scenarios. The computing time for the methods increased as the size of outliers and sample size increased and the genetic variance decreased.
    G3-Genes Genomes Genetics 10/2014; 4(12). DOI:10.1534/g3.114.011957 · 3.20 Impact Factor
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    ABSTRACT: AUXIN/INDOLE-3-ACETIC ACID (Aux/IAA) proteins are central regulators of auxin signal transduction. They control many aspects of plant development, share a conserved domain structure and are localized in the nucleus. In the present study, five maize Aux/IAA proteins (ZmIAA2, ZmIAA11, ZmIAA15, ZmIAA20 and ZmIAA33) representing the evolutionary, phylogenetic and expression diversity of this gene family were characterized. Subcellular localization studies revealed that ZmIAA2, ZmIAA11 and ZmIAA15 are confined to the nucleus while ZmIAA20 and ZmIAA33 are localized in both the nucleus and the cytoplasm. Introduction of specific point mutations in the degron sequence (VGWPPV) of domain II by substituting the first proline by serine or the second proline by leucine stabilized the Aux/IAA proteins. While protein half-life times between ∼11 min (ZmIAA2) to ∼120 min (ZmIAA15) were observed in wild-type proteins, the mutated forms of all five proteins were almost as stable as GFP control proteins. Moreover, all five maize Aux/IAA proteins repressed downstream gene expression in luciferase assays to different degrees. In addition, bimolecular fluorescence complementation (BiFC) analyses demonstrated interaction of all five Aux/IAA proteins with RUM1 (ROOTLESS WITH UNDETECTABLE MERISTEM 1, ZmIAA10) while only ZmIAA15 and ZmIAA33 interacted with the RUM1 paralog RUL1 (RUM-LIKE 1, ZmIAA29). Moreover, ZmIAA11, ZmIAA15 ZmIAA33 displayed homotypic interaction. Hence, despite their conserved domain structure, maize Aux/IAA proteins display a significant variability in their molecular characteristics which is likely associated with the wide spectrum of their developmental functions.
    PLoS ONE 09/2014; 9(9):e107346. DOI:10.1371/journal.pone.0107346 · 3.23 Impact Factor
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    ABSTRACT: Climate change and variability can severely constrain the productivity of pastoral herds by reducing water availability, forage production and quality, and hence the carrying capacity of rangelands. In particular, the risk of heavy livestock losses suffered during recurrent severe droughts associated with climate change and variability presents one of the most serious threats to pastoral livestock keepers. To generate insights into how climate change and variability adversely affect cattle production in the Borana of southern Ethiopia, we analyzed perceptions of herders and long-term changes in cattle numbers and climate data. A total of 242 households were surveyed to generate data on perceived trends in climate, rangeland condition and livestock production. Socio-demographic characteristics of households and cattle mortality due to the 2010/2011 drought were also recorded. Using a local time calendar, cattle herd history was reconstructed for a period spanning five major droughts to portray the linkage between changes in cattle numbers and changes in rainfall and temperature. Most of the herders perceived that rainfall has become more unpredictable, less in amount and shorter in duration, while drought recurrence and temperature have increased. Similarly, the majority perceived a decreasing trend in cattle herd sizes and their production performances. The 2010/2011 drought was associated with a substantial decline in cattle herd sizes due to increased mortality (26%) and forced off-take (19%). Death occurrences and mortality rates varied significantly by district, herd size and feed supplementation. Spectral density analysis revealed a quasi-periodic pattern in the annual rainfall with an approximate cycle period of 8.4 years, suggesting that droughts recur approximately every 8.4 years. A downward trend in cattle population mirrored a similar underlying trend in the interannual rainfall variation. Accordingly, changes in cattle number were significantly linked with changes in rainfall. In conclusion, perceptions corroborated by empirical evidences showed that climate change and variability were associated with declining cattle numbers, portending a precarious future to the sustainability of cattle pastoralism in southern Ethiopia and other pastoral systems.
    Agricultural Systems 09/2014; 130. DOI:10.1016/j.agsy.2014.06.002 · 2.91 Impact Factor
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    ABSTRACT: Background Widespread and more frequently occurring drought conditions are a consequence of global warming and increase the demand for tolerant crop varieties to feed the growing world population. A better understanding of the molecular mechanisms underlying the water deficit response of crops will enable targeted breeding strategies to develop robust cultivars. Results In the present study, the transcriptional response of maize (Zea mays L.) primary roots to low water potentials was monitored by RNA sequencing (RNA-Seq) experiments. After 6 h and 24 h of mild (-0.2 MPa) and severe (-0.8 MPa) water deficit conditions, the primary root transcriptomes of seedlings grown under water deficit and control conditions were compared. The number of responsive genes was dependent on and increased with intensification of water deficit treatment. After short-term mild and severe water deficit 249 and 3,000 genes were differentially expressed, respectively. After a 24 h treatment the number of affected genes increased to 7,267 and 12,838 for mild and severe water deficit, respectively, including more than 80% of the short-term responsive genes. About half of the differentially expressed genes were up-regulated and maximal fold-changes increased with treatment intensity to more than 300-fold. A consensus set of 53 genes was differentially regulated independently of the nature of deficit treatment. Characterization revealed an overrepresentation of the Gene Ontology (GO) categories “oxidoreductase activity” and “heme binding” among regulated genes connecting the water deficit response to ROS metabolism. Conclusion This study gives a comprehensive insight in water deficit responsive genes in young maize primary roots and provides a set of candidate genes that merit further genetic analyses in the future. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-741) contains supplementary material, which is available to authorized users.
    BMC Genomics 08/2014; 15(1):741. DOI:10.1186/1471-2164-15-741 · 3.99 Impact Factor
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    ABSTRACT: Abstract Text: A total number of 86’899 hatching eggs were collected from 4 different lines consisting of white- and brown laying stock from selected commercial populations and experimental lines. Heritability and breeding values were estimated for early, medium, and late embryonic survival ability and hatchability. The estimated heritabilities were low and ranged from 0.029 to 0.188 for different traits. Based on estimated breeding values, 2’082 yolk sample from 732 high and low hatching commercial hens and 495 yolk samples from 171 hens from experimental lines were sampled to determine metabolite profiles using gas chromatography–mass spectrometry. A total number of 109 different metabolites known in egg yolk, including fatty acids, amino acids carbohydrates, steroids, glycerides, vitamins, and organic acids, were detected. Using association analysis, metabolites of different components were identified which have a significant influence on embryonic survival ability. Keywords: Laying Hens Metabolites Hatchability
    10th World Congress on Genetics Applied to Livestock Production; 08/2014

Publication Stats

2k Citations
388.32 Total Impact Points


  • 2003–2015
    • Hohenheim University
      • • Institute of Crop Science
      • • Bioinformatics Unit
      • • State Plant Breeding Institute
      • • Institute of Animal Nutrition
      Stuttgart, Baden-Württemberg, Germany
  • 2008
    • University of Tuebingen
      • Center for Plant Molecular Biology
      Tübingen, Baden-Württemberg, Germany
  • 1997–2002
    • Universität Kassel
      • Department of Grassland Science and Renewable Plant Resources
      Cassel, Hesse, Germany