Analysis of Linkage on Interaction of Main Aspects (Genotype by Environment Interaction, Stability and Genetic Parameters) of 1000 Kernels in Maize (Zea mays L.)

Abstract

The assessment of 1000-kernel weight holds significant importance in determining maize grain yield, and elucidating its underlying genetic mechanisms is imperative for enhancing its overall performance. The material for the study consisted of 26 doubled-haploid (DH) maize lines obtained from crossing two cultivars with flint kernels. Lines were planted in the northern part of the Lower Silesia voivodship in Poland over ten years (2013–2022). The 1000-kernel weight was assessed. The purposes of the research were as follows: (1) to assess genotype by environment interaction (GEI by the additive main effects and multiplicative interaction (AMMI) model; (2) the selection of stable DH lines and environment-specific lines; and (3) the estimation of parameters related to additive and additive–additive gene interaction (epistasis). The results indicate the significant effects of genotype and environment, as well as the GEI, on the 1000-kernel weight. Estimates of additive gene action effects were statistically significant in every year of the study, except 2022. Estimates of epistasis (total additive-by-additive interaction) effects for 1000-kernel weight were statistically significant in 2013, 2015, and 2017 (positive effects), as well as in 2018 and 2020 (negative effects). The lines KN07 and KN10 are recommended for further inclusion in the breeding program due to their stability and highest average of 1000-kernel weight.

Comparison of Pearson’s and Spearman’s correlation coefficients values for selected traits of Pinus sylvestris L.

“…Nevertheless, simply conducting a correlation analysis is only the beginning. By evaluating the results of such analysis, deeper insights into complex biological processes can be gained, which is crucial for further research, interpretation of results and decision-making in both science and practice (Nowosad et al 2023).…”

Comparison of Pearson’s and Spearman’s Correlation Coefficients Values for Selected Traits of <em>Pinus sylvestri</em>s L.

“…Nevertheless, simply conducting a correlation analysis is only the beginning. By evaluating the results of such analysis, deeper insights into complex biological processes can be gained, which is crucial for further research, interpretation of results and decision-making in both science and practice [40].…”

Influence of Genotype × Environment Interaction on Yield Stability of Maize Hybrids with AMMI Model and GGE Biplot

“…Genotypes exhibit different behaviors in different environments, and this interaction is critical for genotypes adapting to diverse environments [8]. Meanwhile, GEIs are a key issue affecting thousand kernel weight, yield, and breeding for quality traits in maize [10,11]. Currently, the AMMI model and the GGE biplot are statistical tools which are commonly used in the analysis of multi-environmental trials [8,12].…”