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Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods
The present study investigated the stability and adaptability of maize (Zea mays L.) hybrids. In this study, 12 maize hybrids were planted and examined considering the grain yield. The experiment was arranged in a randomized complete block design (RCBD) with three replications in four research stati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016566/ https://www.ncbi.nlm.nih.gov/pubmed/33833893 http://dx.doi.org/10.1155/2021/5576691 |
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author | Shojaei, Seyed Habib Mostafavi, Khodadad Omrani, Ali Omrani, Saeed Nasir Mousavi, Seyed Mohammad Illés, Árpád Bojtor, Csaba Nagy, Janos |
author_facet | Shojaei, Seyed Habib Mostafavi, Khodadad Omrani, Ali Omrani, Saeed Nasir Mousavi, Seyed Mohammad Illés, Árpád Bojtor, Csaba Nagy, Janos |
author_sort | Shojaei, Seyed Habib |
collection | PubMed |
description | The present study investigated the stability and adaptability of maize (Zea mays L.) hybrids. In this study, 12 maize hybrids were planted and examined considering the grain yield. The experiment was arranged in a randomized complete block design (RCBD) with three replications in four research stations in Iran during two crop years. The combined analysis of variance showed that genotype-environment interactions were significant at one percent probability level. The grain yield can stabilize, and hybrids with specific adaptability are recommended to each environment. Hybrids with specific adaptability can be recommended to all types of the environment. Means comparison yield of the genotypes identified DC370 as a high-yield genotype. Regarding AMMI analysis, genotype × environment interactions (GEIs) and two first components were found significant. The SC647 genotype was identified as the most stable genotype. Regarding the stability parameters, SC647 and KSC705 genotypes were selected as the most stable genotypes. From AMMI1 and AMMI2 graphs, the SC647 genotype was identified as the most stable genotype compared with other hybrids. |
format | Online Article Text |
id | pubmed-8016566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-80165662021-04-07 Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods Shojaei, Seyed Habib Mostafavi, Khodadad Omrani, Ali Omrani, Saeed Nasir Mousavi, Seyed Mohammad Illés, Árpád Bojtor, Csaba Nagy, Janos Scientifica (Cairo) Research Article The present study investigated the stability and adaptability of maize (Zea mays L.) hybrids. In this study, 12 maize hybrids were planted and examined considering the grain yield. The experiment was arranged in a randomized complete block design (RCBD) with three replications in four research stations in Iran during two crop years. The combined analysis of variance showed that genotype-environment interactions were significant at one percent probability level. The grain yield can stabilize, and hybrids with specific adaptability are recommended to each environment. Hybrids with specific adaptability can be recommended to all types of the environment. Means comparison yield of the genotypes identified DC370 as a high-yield genotype. Regarding AMMI analysis, genotype × environment interactions (GEIs) and two first components were found significant. The SC647 genotype was identified as the most stable genotype. Regarding the stability parameters, SC647 and KSC705 genotypes were selected as the most stable genotypes. From AMMI1 and AMMI2 graphs, the SC647 genotype was identified as the most stable genotype compared with other hybrids. Hindawi 2021-03-25 /pmc/articles/PMC8016566/ /pubmed/33833893 http://dx.doi.org/10.1155/2021/5576691 Text en Copyright © 2021 Seyed Habib Shojaei et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shojaei, Seyed Habib Mostafavi, Khodadad Omrani, Ali Omrani, Saeed Nasir Mousavi, Seyed Mohammad Illés, Árpád Bojtor, Csaba Nagy, Janos Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods |
title | Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods |
title_full | Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods |
title_fullStr | Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods |
title_full_unstemmed | Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods |
title_short | Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods |
title_sort | yield stability analysis of maize (zea mays l.) hybrids using parametric and ammi methods |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016566/ https://www.ncbi.nlm.nih.gov/pubmed/33833893 http://dx.doi.org/10.1155/2021/5576691 |
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