Results 11 to 20 of about 5,166,489 (281)
Development of aerobic rice cultivars with reference to G x E interaction and Aerobic response index [PDF]
Electronic Journal of Plant Breeding, 2015 Twenty five genotypes were evaluated across the year, locations and two water regimes under aerobic vs. irrigated conditions from 2011 to 2012. The objectives of this research were to determine the importance of the genotype x environment interaction (G ...
A.K. Mall, P. Swain, S. K. Pradhan, S. K. Dash and O. N. Singh
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Electronic Journal of Plant Breeding, 2021 A line x tester analysis using 10 lines and five testers were carried out to study the stability of 50 hybrids over environments using three different sowing dates for seed cotton yield and its quantitative traits in cotton.
P. A. Vavdiya1*, V. P. Chovatia2, N. M. Bhut3 and G. D. Vadodariya4
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Multi-trait multi-environment Bayesian model reveals G x E interaction for nitrogen use efficiency components in tropical maize. [PDF]
PLoS One, 2018 Identifying maize inbred lines that are more efficient in nitrogen (N) use is an important strategy and a necessity in the context of environmental and economic impacts attributed to the excessive N fertilization. N-uptake efficiency (NUpE) and N-utilization efficiency (NUtE) are components of N-use efficiency (NUE).
Torres LG +6 more
europepmc +5 more sources
G × E interaction and neurodevelopment I. Focus on maltreatment [PDF]
Epidemiology and Psychiatric Sciences, 2012 In a short series of articles, we will review the evidence for genotype by environment interaction (G × E) in developmental psychopathology. We will focus specifically on the characteristics of types of exposure assessed with respect to both their methods and findings.
Bellani M +4 more
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How process-based modeling can help plant breeding deal with G x E x M interactions
Field Crops Research, 2022 Genotype-by-Environment-by-Management (GxExM) interactions represent many unknowns for crop improvement programs, which hampers the development of improved varieties, especially for highly variable environments like those limited by rainfall. While breeding programs have traditionally used statistical tools to deal with these interactions, process ...
/Hajjarpoor, Amir +2 more
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Multivariate Genetic Analysis of Sex Limitation and G × E Interaction [PDF]
Twin Research and Human Genetics, 2006 Sex-limited expression of genetic or environmental factors occurs in two basic forms. First, the effects of a factor may be larger on one sex than on another, which is known as scalar sex limitation. Second, some factors may have an effect on one sex but not on the other, which is called nonscalar sex limitation. In the classical twin study, scalar sex-
Michael C, Neale +2 more
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AMMI analysis of grain yield in rice genotypes across environments
Electronic Journal of Plant Breeding, 2018 The identification of the highest yielding cultivar for a specific environment on the basis of both genotype (G) and genotype x environment (GE) interaction would be useful to breeders and producers since yield estimates based only on G and environment ...
M. Umadevi and, S. Manonmani
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Bayesian semiparametric analysis for two-phase studies of gene-environment interaction [PDF]
, 2013 The two-phase sampling design is a cost-efficient way of collecting expensive covariate information on a judiciously selected subsample. It is natural to apply such a strategy for collecting genetic data in a subsample enriched for exposure to ...
Ahn, Jaeil +3 more
core +1 more source
Stability analysis in maize ( Zea mays L.)
Electronic Journal of Plant Breeding, 2020 Thirteen maize genotypes were assessed for their stability under different environments for eleven characters. G x E interaction was linear in nature for days to 50% of flowering, Days to 50% of silking, days to maturity, Ear girth (cm), The number of ...
S. N. Patil, M. V. Duppe and R. M. Bachkar
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Building Exposure Biology Centers to Put the E into “G × E” Interaction Studies
Environmental Health Perspectives, 2009 Adverse gene–environment interactions (G × E) probably influence most chronic diseases, including neurologic disorders and cancer. The genetic (G) contribution to different diseases varies, but several lines of evidence clearly show that nongenetic factors have high attributable risks, often in the range of 80–90% (Willett 2002).
Smith, Martyn T., Rappaport, Stephen M.
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