Assessing genotype-by-environment interactions for maydis leaf blight disease in maize (Zea mays L.) germplasm and identification of stable donors for breeding resistant hybrid varieties

This study investigates the impact of environmental factors and genotype-by-environment interactions (GEI) on the expression of maydis leaf blight (MLB) resistance in a diverse maize germplasm comprising 359 genotypes. Extensive field trials were conducted, involving artificial inoculations and dise...

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Autores principales: Nisa, Wajhat Un, Sandhu, Surinder K., Kaur, Harleen, Nair, Sudha, Singh, Gagandeep
Formato: Journal Article
Lenguaje:Inglés
Publicado: Cambridge University Press 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/179150
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author Nisa, Wajhat Un
Sandhu, Surinder K.
Kaur, Harleen
Nair, Sudha
Singh, Gagandeep
author_browse Kaur, Harleen
Nair, Sudha
Nisa, Wajhat Un
Sandhu, Surinder K.
Singh, Gagandeep
author_facet Nisa, Wajhat Un
Sandhu, Surinder K.
Kaur, Harleen
Nair, Sudha
Singh, Gagandeep
author_sort Nisa, Wajhat Un
collection Repository of Agricultural Research Outputs (CGSpace)
description This study investigates the impact of environmental factors and genotype-by-environment interactions (GEI) on the expression of maydis leaf blight (MLB) resistance in a diverse maize germplasm comprising 359 genotypes. Extensive field trials were conducted, involving artificial inoculations and disease scoring across two locations over two years. Using genotype and genotype–environment (GGE) biplot analysis based on the site regression model (SREG), we identified stable MLB-resistant 10 donors with consistent genotypic responses. These inbred lines, which consistently exhibited disease scores of ⩽3 across locations, are recommended as potential parents for breeding MLB-resistant varieties. Furthermore, the identification of a non-crossover interaction and high correlations among testing locations allowed us to define a single mega-environment for the initial screening of MLB resistance in a large set of maize germplasm. This study suggests that initial screenings can be efficiently conducted in one representative location, with validation of resistant lines at multiple sites during advanced breeding stages. This approach optimizes the use of land, labour and resources in MLB resistance testing.
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spelling CGSpace1791502025-12-21T22:39:11Z Assessing genotype-by-environment interactions for maydis leaf blight disease in maize (Zea mays L.) germplasm and identification of stable donors for breeding resistant hybrid varieties Nisa, Wajhat Un Sandhu, Surinder K. Kaur, Harleen Nair, Sudha Singh, Gagandeep genotype environment interaction inbred lines environment disease resistance maize germplasm hybrids This study investigates the impact of environmental factors and genotype-by-environment interactions (GEI) on the expression of maydis leaf blight (MLB) resistance in a diverse maize germplasm comprising 359 genotypes. Extensive field trials were conducted, involving artificial inoculations and disease scoring across two locations over two years. Using genotype and genotype–environment (GGE) biplot analysis based on the site regression model (SREG), we identified stable MLB-resistant 10 donors with consistent genotypic responses. These inbred lines, which consistently exhibited disease scores of ⩽3 across locations, are recommended as potential parents for breeding MLB-resistant varieties. Furthermore, the identification of a non-crossover interaction and high correlations among testing locations allowed us to define a single mega-environment for the initial screening of MLB resistance in a large set of maize germplasm. This study suggests that initial screenings can be efficiently conducted in one representative location, with validation of resistant lines at multiple sites during advanced breeding stages. This approach optimizes the use of land, labour and resources in MLB resistance testing. 2025-04 2025-12-21T22:39:10Z 2025-12-21T22:39:10Z Journal Article https://hdl.handle.net/10568/179150 en Limited Access Cambridge University Press Nisa, W. U., Sandhu, S. K., Kaur, H., Nair, S., & Singh, G. (2025). Assessing genotype-by-environment interactions for maydis leaf blight disease in maize (Zea mays L.) germplasm and identification of stable donors for breeding resistant hybrid varieties. Plant Genetic Resources, 23(2), 79-86. https://doi.org/10.1017/s1479262124000546
spellingShingle genotype environment interaction
inbred lines
environment
disease resistance
maize
germplasm
hybrids
Nisa, Wajhat Un
Sandhu, Surinder K.
Kaur, Harleen
Nair, Sudha
Singh, Gagandeep
Assessing genotype-by-environment interactions for maydis leaf blight disease in maize (Zea mays L.) germplasm and identification of stable donors for breeding resistant hybrid varieties
title Assessing genotype-by-environment interactions for maydis leaf blight disease in maize (Zea mays L.) germplasm and identification of stable donors for breeding resistant hybrid varieties
title_full Assessing genotype-by-environment interactions for maydis leaf blight disease in maize (Zea mays L.) germplasm and identification of stable donors for breeding resistant hybrid varieties
title_fullStr Assessing genotype-by-environment interactions for maydis leaf blight disease in maize (Zea mays L.) germplasm and identification of stable donors for breeding resistant hybrid varieties
title_full_unstemmed Assessing genotype-by-environment interactions for maydis leaf blight disease in maize (Zea mays L.) germplasm and identification of stable donors for breeding resistant hybrid varieties
title_short Assessing genotype-by-environment interactions for maydis leaf blight disease in maize (Zea mays L.) germplasm and identification of stable donors for breeding resistant hybrid varieties
title_sort assessing genotype by environment interactions for maydis leaf blight disease in maize zea mays l germplasm and identification of stable donors for breeding resistant hybrid varieties
topic genotype environment interaction
inbred lines
environment
disease resistance
maize
germplasm
hybrids
url https://hdl.handle.net/10568/179150
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