Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots
Background Enhancing maize grain yield in tropical regions faces significant challenges due to variability in agroclimate, soil conditions, and agroecosystems. Understanding genotype (G) by environment (E) interaction (GEI) in plant breeding is crucial for selecting and developing high-yielding geno...
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PeerJ Inc.
2024-11-01
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| author | Dedy Supriadi Yusuf Mufti Bimantara Yuniel Melvanolo Zendrato Eko Widaryanto Kuswanto Kuswanto Budi Waluyo |
| author_facet | Dedy Supriadi Yusuf Mufti Bimantara Yuniel Melvanolo Zendrato Eko Widaryanto Kuswanto Kuswanto Budi Waluyo |
| author_sort | Dedy Supriadi |
| collection | DOAJ |
| description | Background Enhancing maize grain yield in tropical regions faces significant challenges due to variability in agroclimate, soil conditions, and agroecosystems. Understanding genotype (G) by environment (E) interaction (GEI) in plant breeding is crucial for selecting and developing high-yielding genotypes adapted to diverse environments. Methods Ten maize hybrids, including eight candidates and two commercial varieties, were evaluated across ten environments in Indonesia using a randomized complete block design with three replications. The GEI effect and yield stability were assessed using stability statistics, additive main effects and multiplicative interaction model (AMMI), and genotype + genotype × environment (GGE) biplot methods. Results and Discussion Analysis of variance revealed a significant GEI effect, indicating differences in hybrid responses for grain yield (GY), allowing for stability analysis. G01 showed the highest GY based on the best linear unbiased prediction (BLUP) across environments. Correlation analysis indicated strong associations between stability statistics (YSi and S(6)) and GY, aiding in the selection of high-yielding hybrids. The integration of AMMI with the BLUP method, and weighted average of absolute scores (WAASB), enabled precise measurement of genotype stability. Overall, G01 (R0211), G04 (R0105), G05 (R0118), and G07 (R0641) emerged as high-yielding, stable hybrids based on stability statistics, AMMI, GGE biplot, and WAASB rankings. These hybrids offer promising candidates for maize genetic improvement programs in tropical regions. |
| format | Article |
| id | doaj-art-8635e92a606145eea0bdc3376584c11c |
| institution | OA Journals |
| issn | 2167-8359 |
| language | English |
| publishDate | 2024-11-01 |
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| spelling | doaj-art-8635e92a606145eea0bdc3376584c11c2025-08-20T02:38:35ZengPeerJ Inc.PeerJ2167-83592024-11-0112e1862410.7717/peerj.18624Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplotsDedy Supriadi0Yusuf Mufti Bimantara1Yuniel Melvanolo Zendrato2Eko Widaryanto3Kuswanto Kuswanto4Budi Waluyo5Graduate School, Brawijaya University, Malang, East Java, IndonesiaPlant Breeding and Biotechnology, Graduate School, IPB University, Bogor, West Java, IndonesiaAgrotechnology, Faculty of Agriculture and Business, Satya Wacana Christian University, Salatiga, Central Java, IndonesiaDepartment of Agronomy, Faculty of Agriculture, Brawijaya University, Malang, East Java, IndonesiaDepartment of Agronomy, Faculty of Agriculture, Brawijaya University, Malang, East Java, IndonesiaDepartment of Agronomy, Faculty of Agriculture, Brawijaya University, Malang, East Java, IndonesiaBackground Enhancing maize grain yield in tropical regions faces significant challenges due to variability in agroclimate, soil conditions, and agroecosystems. Understanding genotype (G) by environment (E) interaction (GEI) in plant breeding is crucial for selecting and developing high-yielding genotypes adapted to diverse environments. Methods Ten maize hybrids, including eight candidates and two commercial varieties, were evaluated across ten environments in Indonesia using a randomized complete block design with three replications. The GEI effect and yield stability were assessed using stability statistics, additive main effects and multiplicative interaction model (AMMI), and genotype + genotype × environment (GGE) biplot methods. Results and Discussion Analysis of variance revealed a significant GEI effect, indicating differences in hybrid responses for grain yield (GY), allowing for stability analysis. G01 showed the highest GY based on the best linear unbiased prediction (BLUP) across environments. Correlation analysis indicated strong associations between stability statistics (YSi and S(6)) and GY, aiding in the selection of high-yielding hybrids. The integration of AMMI with the BLUP method, and weighted average of absolute scores (WAASB), enabled precise measurement of genotype stability. Overall, G01 (R0211), G04 (R0105), G05 (R0118), and G07 (R0641) emerged as high-yielding, stable hybrids based on stability statistics, AMMI, GGE biplot, and WAASB rankings. These hybrids offer promising candidates for maize genetic improvement programs in tropical regions.https://peerj.com/articles/18624.pdfMaize breedingBLUPWAASBGenotype by environmentGrain yieldStability statistics |
| spellingShingle | Dedy Supriadi Yusuf Mufti Bimantara Yuniel Melvanolo Zendrato Eko Widaryanto Kuswanto Kuswanto Budi Waluyo Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots PeerJ Maize breeding BLUP WAASB Genotype by environment Grain yield Stability statistics |
| title | Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots |
| title_full | Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots |
| title_fullStr | Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots |
| title_full_unstemmed | Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots |
| title_short | Assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots |
| title_sort | assessment of genotype by environment and yield performance of tropical maize hybrids using stability statistics and graphical biplots |
| topic | Maize breeding BLUP WAASB Genotype by environment Grain yield Stability statistics |
| url | https://peerj.com/articles/18624.pdf |
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