Analysis of genotype-by-environment interactions in a maize mapping population

Abstract

Genotype by environment interactions are a significant challenge for crop breeding as well as being important for understanding the genetic basis of environmental adaptation. In this study, we analyzed genotype by environment interactions in a maize multi-parent advanced generation intercross population grown across five environments. We found that genotype by environment interactions contributed as much as genotypic effects to the variation in some agronomically important traits. In order to understand how genetic correlations between traits change across environments, we estimated the genetic variance-covariance matrix in each environment. Changes in genetic covariances between traits across environments were common, even among traits that show low genotype by environment variance. We also performed a genome-wide association study to identify markers associated with genotype by environment interactions but found only a small number of significantly associated markers, possibly due to the highly polygenic nature of genotype by environment interactions in this population.

AMMI and GGE biplot analyses of Bambara groundnut [Vigna subterranea (L.) Verdc.] for agronomic performances under three environmental conditions

“…Similar results were obtained by many researchers including Nehe et al (2019) and Kendal (2019). The environmental adaptation of varieties is very paramount in comprehending their genetic basis, which is only achieved through genotype-by-environment interactions (Hudson et al, 2022).…”

“…The significance of the genotype-by-environment interaction shows that the genotypes' agronomic traits vary from one location to another, while the non-significance of genotype-by-environment interaction for some traits showed that the traits did not diverge from one location to another. In the corn hybrid study for grain yield, Haruna et al (2017); Azrai et al (2022), andHudson et al (2022) reported findings in multi-environment trials where the main proportion of total phenotypic variation was ascribed to the environment and comparatively minor sources of variation to genotype, while in this present study, a larger proportion of variation was attributed to the genotypes. This study revealed very highly significant differences in genotypes and significant differences in environments, which could be credited to environmental conditions, the genetic diversity of the genotypes, and the effects of the interaction between the genotypes and environments.…”

Evaluation of grain yield performance and its stability in various spring barley accessions under condition of different agroclimatic zones of Ukraine

“…For example, there are numerous studies devoted to the analysis of the genotype by environment interaction and the selection of stable genotypes of a wide range of agricultural crops using different statistical approaches. In particular, for wheat (Buenrostro-Rodríguez et al, 2019;Bishwas et al, 2021;Bosi et al, 2022), cucumber (Dia et al, 2018), finger millet (Anuradha et al, 2022), maize (Katsenios et al, 2021;Hudson et al, 2022), pigeon pea (Yohane et al, 2021), sorghum (Enyew et al, 2021;Silva et al, 2022), cowpea (Kindie et al, 2021), lettuce (Lafta et al, 2021), groundnut . Such studies in barley have been conducted in Bulgaria (Dyulgerova & Dyulgerov, 2019), Turkey (Kendal et al, 2019;Öztürk 2020), Algeria (Guendouz et al, 2022), Jordan (Al-Sayaydeh et al, 2019), Ethiopia (Shibeshi & Mekiso, 2022), India (Verma et al, 2019), Serbia (Pržulj et al, 2015), and Ukraine (Hudzenko et al, 2020;Kozachenko et al, 2022).…”

Modeling allelic diversity of multiparent mapping populations affects detection of quantitative trait loci

“…The MAGIC F1 plants were phenotyped in 5 different field locations in 4 different years, resulting in 6 distinct environment-years ( Hudson et al in prep ). The environments included Blois, France (2014 and 2017), Graneros, Chile (2015), Nerac, France (2016), St. Paul, France (2017), and Szeged, Hungary (2017).…”