Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots DOI Creative Commons

Dedy Supriadi,

Yusuf Mufti Bimantara,

Y M Zendrato

и другие.

PeerJ, Год журнала: 2024, Номер 12, С. e18624 - e18624

Опубликована: Ноя. 29, 2024

Background Enhancing maize grain yield in tropical regions faces significant challenges due to variability agroclimate, soil conditions, and agroecosystems. Understanding genotype (G) by environment (E) interaction (GEI) plant breeding is crucial for selecting developing high-yielding genotypes adapted diverse environments. Methods Ten hybrids, including eight candidates two commercial varieties, were evaluated across ten environments Indonesia using a randomized complete block design with three replications. The GEI effect stability assessed statistics, additive main effects multiplicative model (AMMI), + × (GGE) biplot methods. Results Discussion Analysis of variance revealed effect, indicating differences hybrid responses (GY), allowing analysis. G01 showed the highest GY based on best linear unbiased prediction (BLUP) Correlation analysis indicated strong associations between statistics ( YS i S (6 ) GY, aiding selection hybrids. integration AMMI BLUP method, weighted average absolute scores (WAASB), enabled precise measurement stability. Overall, (R0211), G04 (R0105), G05 (R0118), G07 (R0641) emerged as high-yielding, stable hybrids AMMI, GGE biplot, WAASB rankings. These offer promising genetic improvement programs regions.

Язык: Английский

Modelling Maize Yield Sensitivity to Abiotic Stresses in East Africa: Integration of Crop Modelling and Synthetic Climate Change Scenarios DOI Creative Commons
Harison Kiplagat Kipkulei, Mark Boitt, Shibire Bekele Eshetu

и другие.

International Journal of Plant Production, Год журнала: 2025, Номер unknown

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0
Modeling the impact of climate change on maize (Zea mays L.) production at the county scale in Kenya DOI Creative Commons
Harison Kiplagat Kipkulei, Sonoko Dorothea Bellingrath‐Kimura, Marcos Lana

и другие.

Regional Environmental Change, Год журнала: 2025, Номер 25(2)

Опубликована: Май 2, 2025

Язык: Английский

Процитировано

0
Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots DOI Creative Commons

Dedy Supriadi,

Yusuf Mufti Bimantara,

Y M Zendrato

и другие.

PeerJ, Год журнала: 2024, Номер 12, С. e18624 - e18624

Опубликована: Ноя. 29, 2024

Background Enhancing maize grain yield in tropical regions faces significant challenges due to variability agroclimate, soil conditions, and agroecosystems. Understanding genotype (G) by environment (E) interaction (GEI) plant breeding is crucial for selecting developing high-yielding genotypes adapted diverse environments. Methods Ten hybrids, including eight candidates two commercial varieties, were evaluated across ten environments Indonesia using a randomized complete block design with three replications. The GEI effect stability assessed statistics, additive main effects multiplicative model (AMMI), + × (GGE) biplot methods. Results Discussion Analysis of variance revealed effect, indicating differences hybrid responses (GY), allowing analysis. G01 showed the highest GY based on best linear unbiased prediction (BLUP) Correlation analysis indicated strong associations between statistics ( YS i S (6 ) GY, aiding selection hybrids. integration AMMI BLUP method, weighted average absolute scores (WAASB), enabled precise measurement stability. Overall, (R0211), G04 (R0105), G05 (R0118), G07 (R0641) emerged as high-yielding, stable hybrids AMMI, GGE biplot, WAASB rankings. These offer promising genetic improvement programs regions.

Язык: Английский

Процитировано

1