A study on genotype × environment interactions for the multiple traits of maize hybrids in China

Abstract

The correct interpretation of the adaptability and stability of maize (Zea mays L.) hybrids in different ecological environments is very important for plant breeders. Additive main effect and multiplicative interaction model and genotype main effects and genotype × environment interaction biplot are the two most popular methods in the analysis of genotype × environment interaction in multienvironment trials. We conducted an experiment designed to examine and evaluate the adaptability and stability of four agronomic traits of 19 tested maize genotypes in two consecutive growth cycles across seven provinces including 37 locations using a randomized completely block design with three replicates. The combined ANOVA for all traits showed that the effect of genotype, environment, and genotype × environment interaction were significant at 0.1% probability levels. In order to evaluate multiple agronomic traits more accurately, multitrait stability index (MTSI) as an emerging selection method based on mean performance and stability was adopted. Agronomic trait grain yield (GY) was positively correlated with grain weight per ear and growth period. In addition, it was also found that GY and bar tip length showed obvious negative correlation. The MTSI is very helpful for breeders who hope to select mean performance and stability based on a variety of agronomic traits because it provides a convenient selection process while taking into account the relevant results of the traits.

Deployment of AMMI, GGE-biplot and MTSI to select elite genotypes of castor (Ricinus communis L.)

“…The most significant aspect of stability analysis is the selection of stable genotypes with higher mean performance for various characteristics [ 58 ]. It was carried out with the use of genotype-ideotype Euclidian distance-based scores.…”

Stability Analysis and Identification of Superior Hybrids in Pearl Millet [Pennisetum glaucum (L.) R. Br.] Using the Multi Trait Stability Index

“…The selection of stable hybrids with higher mean performance for multiple variables is the most important part of stability analysis [ 32 ]. Genotype–ideotype Euclidian distance-based scores were used to carry out exploratory factor analysis.…”

Multiple Linear Regression and Correlation Analysis Of Yield of Summer Maize Varieties in Shaanxi Province, China

“…Shaanxi Province has a vast territory. Beishan and Qinling Mountains divide Shaanxi Province into three natural regions: the northern Shaanxi Plateau, the central Guanzhong Plain, and the southern Qinba Mountains (Nascimento 2020, Yue et al 2021). The Guanzhong Plain has been known as a granary since ancient times (He and Zhou 2016, Forte et al 2017, Ruis 2021, Simão and Johnston 2021, Lu et al 2022).…”