Results 151 to 160 of about 302,424 (178)

Genotype-by-environment interactions in chronic back pain

The Spine Journal, 2023
Chronic back pain (CBP) is a common debilitating condition with substantial societal impact. While understanding genotype-by-environment (GxE) interactions may be crucial to achieving the goals of personalized medicine, there are few large-scale studies investigating this topic for CBP.
Ivan A. Kuznetsov, Yakov A. Tsepilov, Maxim B. Freidin, Frances M.K. Williams, Pradeep Suri, Yurii S. Aulchenko   +5 more
openaire   +3 more sources

Bibliography on genotype-by-environment interaction

1996
International ...
Denis, J.B., Gauch, H.G., Kang, M.S., van Eeuwijk, F.A.   +3 more
openaire   +3 more sources

Alternative partitioning of the genotype-by-environment interaction

Theoretical and Applied Genetics, 1992
Alternative methods for partitioning the genotype-by-environment interaction, for an arbitrary number of genotypes or environments, were examined. Partitioning of the interaction is important in order to determine the nature of the interaction. Two methods of partitioning were examined; both separated the interaction into two types: (1) due to ...
W, Muir, W E, Nyquist, S, Xu
openaire   +2 more sources

Genotype by environment interaction in variety trials

Cereal research communications, 2007
Data sets from official variety trials carried out in Croatia from 1992 to 1998 were analyzed using EM-AMMI models. Amount of missing cells in all four data sets (winter wheat, spring barley, winter barley, spring oats) was more than 60%. Only for spring oats data sets cross validation procedure detected AMMI1 as the best model, while for remaining ...
Pecina, Marija, Gunjača, Jerko
openaire   +4 more sources

Genotype-by-Environment Interactions

2017
The penultimate success of a plant breeding programme depends on its ability to provide farmers with genotypes/clones with guaranteed superior performance (phenotype) in terms of yield and/or quality across a range of environments. While there can be clones that do well across a wide range of conditions (widely adapted genotypes), there are also clones
openaire   +1 more source

Genotype by environment interactions: experience from Langhill

BSAP Occasional Publication, 1995
AbstractGenotype by environment interaction was investigated for a range of traits. Selection (S) and control line (C) cows, housed and managed at the Langhill Dairy Cattle Research Centre, were offered ad libitum complete mixed diets, with proportions (in total dry matter) of concentrates, silage, brewers’ grains of either 20:5:75 (LC; 1.0 t ...
R. F. Veerkamp, G. Simm, J. D. Oldham
openaire   +1 more source

Genotype-by-Environment Interaction in Crop Improvement

2004
In this paper, we discuss the role of genotype by environment interactions (GEI) in crop improvement, especially the following: (1) Implications of GEI in crop improvement, (2) Nature and causes of GEI, (3) Approaches for studying GEI, and (4) Strategies for using GEI in crop improvement.
Manjit S. Kang, V. T. Prabhakaran, R. B. Mehra   +2 more
openaire   +1 more source

Interpreting genotype-by-environment interaction using redundancy analysis

Theoretical and Applied Genetics, 1992
Methods for the interpretation of genotype-by-environment interaction in the presense of explicitly measured environmental variables can be divided into two groups. Firstly, methods that extract environmental characterizations from the data itself, which are subsequently related to measured environmental variables, e.g., regression on the mean or ...
openaire   +2 more sources

A Weighted AMMI Algorithm to Study Genotype‐by‐Environment Interaction and QTL‐by‐Environment Interaction

Crop Science, 2014
ABSTRACTGenotype‐by‐environment (G × E) interaction (GEI) and quantitative trait locus (QTL)‐by‐environment interaction (QEI) are common phenomena in multiple‐environment trials and represent a major challenge to breeders. The additive main effects and multiplicative interaction (AMMI) model is a widely used tool for the analysis of multiple ...
Paulo C. Rodrigues, Marcos Malosetti, Hugh G. Gauch, Fred A. van Eeuwijk   +3 more
openaire   +1 more source

Genotype-by-Environment Interaction

1996
Michael J. Kearsey, Harpal S. Pooni
  +4 more sources