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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

Published online by Cambridge University Press:  23 October 2024

Wajhat Un Nisa ,
Surinder K. Sandhu Open the ORCID record for Surinder K. Sandhu [Opens in a new window] ,
Harleen Kaur ,
Sudha Nair  and
Gagandeep Singh
Wajhat Un Nisa
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
Surinder K. Sandhu*
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
Harleen Kaur
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
Sudha Nair
Affiliation:
International Maize and Wheat Improvement Centre (CIMMYT), Hyderabad, India
Gagandeep Singh
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
*
Corresponding author: Surinder K. Sandhu; Email: [email protected]
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Abstract

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.

Keywords

biplotinbred linesmega environmentMLBresistance
Type
Research Article
Information
Plant Genetic Resources , Volume 23 , Issue 2 , April 2025 , pp. 79 - 86
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of National Institute of Agricultural Botany

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