Experiments measuring the interaction between genotypes and environments measure the
spatial (eg, locations) and temporal (eg, years) separation and/or combination of these …

There is considerable interest in the occurrence and molecular mechanisms of phenotypic
plasticity and genotype-by-environment interactions (G× E) in plant populations. The …

Multi‐environment trials (MET) are crucial steps in plant breeding programs that aim at
increasing crop productivity to ensure global food security. The analysis of MET data …

Additive main effect and multiplicative interaction (AMMI) and best linear unbiased
prediction (BLUP) are popular methods for analyzing multi‐environment trials (MET). The …

双标图分析在农作物品种多点试验中的应用 Page 1 作物学报ACTA AGRONOMICA SINICA
2010, 36(11): 1805-1819 http://www.chinacrops.org/zwxb/ ISSN 0496-3490; CODEN TSHPA9 …

The stability and high yielding of Vigna subterranea L. Verdc. genotype is an important factor
for long-term development and food security. The effects of G× E interaction on yield stability …

Modeling the genotype× environment interaction (GEI) and quantifying genotypic stability
are crucial steps for selecting/recommending genotypes in multi‐environment trials (METs) …

Environment is an important determinant of agricultural productivity; therefore, crops have
been bred with traits adapted to their environment. It is assumed that the physiology of seed …

Genotype by environment (G× E) interaction is a major factor limiting the success of
germplasm selection and identification of superior genotypes for use in plant breeding …

The use of genotype main effect (G) plus genotype‐by‐environment (GE) interaction (G+
GE) biplot analysis by plant breeders and other agricultural researchers has increased …