Classical and AMMI methods to select progenies, testers and topcrosses hybrids in corn

Matsuzaki, Robson Akira; Pinto, Ronald José Barth; Jobim, Clóves Cabreira; Uhdre, Renan Santos; Eisele, Tauana Gibim; Scapim, Carlos Alberto

doi:10.1590/0034-737x202370050017

Cited by 1 publication

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“…And the AMMI model GGE biplot has now been applied to cotton [21], oat [22], pigeonpea [23], cowpea [24], bambara groundnut [25], grain sorghum [26], as well as maize [27,28]. In previous studies, the yield of maize in one year was mostly analyzed by the AMMI model and GGE biplot or by a single method, and few were analyzed by combining the two methods for many years [11,[29][30][31][32]. Combining the AMMI model with the GGE biplot can help us to better understand the effects of gene-environment interaction, optimal genotypes, and suitable environments on improving genotype yield [7,33].…”

Section: Introductionmentioning

confidence: 99%

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

Ma,

Liu,

2024

Agronomy

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Maize yields perform differently in different environments, so the selection of suitable genotypes in diverse environments is essential for variety selection to enable better site-specific planting. Hence, the objective of the study was to estimate the productivity of 11 maize hybrids (G) in 10 different environments (E) and select high-yield and stable varieties for adaptive cultivation in 2022 and 2023. The combined analysis of variance showed that G (4%), E (50%), and their interaction (31%) had a significant effect (p < 0.01) on maize yield, with E factors contributing the most. In addition, the average yield ranged from 9398 kg/ha to 10,574 kg/ha, and ZF-2208 and DY-519 performed relatively well in both years. The AMMI model showed that the varieties DY-213, DY-605, and DY-519 had high and stable production in 2022, whereas it was ZF-2209 and LX-24 in 2023. The “W-W-W” biplot showed that DY-519 and JG-18 were the optimal varieties in 2022, and ZF-2208 and ZF-2210 were optimal in 2023. The “mean vs. stability” biplot indicated that JG-18, DY-605, and DY-213 (in 2022) and ZF-2208, LX-24, and ZF-2209 (in 2023) were the optimal varieties. Additionally, both the discrimination and representative biplot and the ranking biplot reflected that BinChuan and ShiDian (in 2022) and GengMa and YongSheng (in 2023) were the ideal test environments. In conclusion, DY-519, DY-605, ZF-2208, and LX-24 hybrids could be used for variety promotion. Moreover, BinChuan, ShiDian, GengMa, and YongSheng were the ideal test environments for selecting varieties. Therefore, the AMMI model and GGE biplot can be used to complement each other for a comprehensive evaluation of maize yield. In this way, excellent maize hybrids with high yield and stability can be selected, which could promote the selection and popularization of varieties and shorten the breeding process.

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Section: Introductionmentioning

confidence: 99%

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

Ma,

Liu,

2024

Agronomy

View full text Add to dashboard Cite

show abstract

Classical and AMMI methods to select progenies, testers and topcrosses hybrids in corn

Abstract: This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original work is properly cited.

Cited by 1 publication

References 15 publications

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

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

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