Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation

Gray leaf spot (GLS) disease is caused by two fungal pathogens, Cercospora zeae-maydis and Cercospora zeina. The current study evaluated 427 elite tropical/subtropical lines for their responses to GLS under artificial inoculation in Kakamega in western Kenya for 4 years. Furthermore, a subset of 140...

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Autores principales: Suresh, L.M., Gowda, Manje, Beyene, Yoseph, Makumbi, Dan, Manigben, Kulai Amadu, Burgueño, Juan, Okayo, Robert, Woyengo, Vincent, Boddupalli, Prasanna
Formato: Journal Article
Lenguaje:Inglés
Publicado: Frontiers Media 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/179103
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author Suresh, L.M.
Gowda, Manje
Beyene, Yoseph
Makumbi, Dan
Manigben, Kulai Amadu
Burgueño, Juan
Okayo, Robert
Woyengo, Vincent
Boddupalli, Prasanna
author_browse Beyene, Yoseph
Boddupalli, Prasanna
Burgueño, Juan
Gowda, Manje
Makumbi, Dan
Manigben, Kulai Amadu
Okayo, Robert
Suresh, L.M.
Woyengo, Vincent
author_facet Suresh, L.M.
Gowda, Manje
Beyene, Yoseph
Makumbi, Dan
Manigben, Kulai Amadu
Burgueño, Juan
Okayo, Robert
Woyengo, Vincent
Boddupalli, Prasanna
author_sort Suresh, L.M.
collection Repository of Agricultural Research Outputs (CGSpace)
description Gray leaf spot (GLS) disease is caused by two fungal pathogens, Cercospora zeae-maydis and Cercospora zeina. The current study evaluated 427 elite tropical/subtropical lines for their responses to GLS under artificial inoculation in Kakamega in western Kenya for 4 years. Furthermore, a subset of 140 lines was used for a high-resolution genome-wide association study (GWAS) for GLS resistance. Among the 427 lines evaluated, 14 were identified as resistant on the basis of a <4 (on a scale of 1–9) GLS disease severity score. Among these 14 lines, three lines, namely CML540, CML559, and CML566, are also known for resistance to MSV, tolerance to drought, and resistance to MLN, respectively. The phenotypic evaluation revealed significant (P < 0.01) genotypic and genotype x environment interaction variances and moderate to high heritability for GLS disease severity, area under disease progress curve (AUDPC), and other agronomic traits. GLS disease severity traits were negatively and significantly correlated (P < 0.01) with anthesis date, silking date, plant height, and ear height. A subset of 140 lines was genotyped with 33,740 DART-GBS SNP markers. Population structure and principal component analysis grouped the lines into two major clusters with moderate structure in the population. GWAS revealed 13 and 11 SNPs significantly associated with GLS disease severity and AUDPC values. Six among the 13 SNPs detected for GLS resistance are overlapped with earlier studies, which can be used for fine mapping and improvement of GLS resistance through marker-assisted selection. However, SNPs on chromosomes 9 and 10 were unique to the present study. Genomic prediction on GLS traits revealed moderate to high prediction correlations, suggesting its usefulness in the selection of desirable candidates with favorable alleles for GLS resistance. Overall, 14 GLS resistance lines identified in this study can be used as donor lines in both genetic studies and resistance breeding programs.
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spelling CGSpace1791032025-12-20T02:11:18Z Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation Suresh, L.M. Gowda, Manje Beyene, Yoseph Makumbi, Dan Manigben, Kulai Amadu Burgueño, Juan Okayo, Robert Woyengo, Vincent Boddupalli, Prasanna genotyping-by-sequencing genome-wide association studies forecasting leaf spots maize Gray leaf spot (GLS) disease is caused by two fungal pathogens, Cercospora zeae-maydis and Cercospora zeina. The current study evaluated 427 elite tropical/subtropical lines for their responses to GLS under artificial inoculation in Kakamega in western Kenya for 4 years. Furthermore, a subset of 140 lines was used for a high-resolution genome-wide association study (GWAS) for GLS resistance. Among the 427 lines evaluated, 14 were identified as resistant on the basis of a <4 (on a scale of 1–9) GLS disease severity score. Among these 14 lines, three lines, namely CML540, CML559, and CML566, are also known for resistance to MSV, tolerance to drought, and resistance to MLN, respectively. The phenotypic evaluation revealed significant (P < 0.01) genotypic and genotype x environment interaction variances and moderate to high heritability for GLS disease severity, area under disease progress curve (AUDPC), and other agronomic traits. GLS disease severity traits were negatively and significantly correlated (P < 0.01) with anthesis date, silking date, plant height, and ear height. A subset of 140 lines was genotyped with 33,740 DART-GBS SNP markers. Population structure and principal component analysis grouped the lines into two major clusters with moderate structure in the population. GWAS revealed 13 and 11 SNPs significantly associated with GLS disease severity and AUDPC values. Six among the 13 SNPs detected for GLS resistance are overlapped with earlier studies, which can be used for fine mapping and improvement of GLS resistance through marker-assisted selection. However, SNPs on chromosomes 9 and 10 were unique to the present study. Genomic prediction on GLS traits revealed moderate to high prediction correlations, suggesting its usefulness in the selection of desirable candidates with favorable alleles for GLS resistance. Overall, 14 GLS resistance lines identified in this study can be used as donor lines in both genetic studies and resistance breeding programs. 2025-03 2025-12-19T22:16:54Z 2025-12-19T22:16:54Z Journal Article https://hdl.handle.net/10568/179103 en Open Access application/pdf Frontiers Media Mahabaleswara, S. L., Gowda, M., Beyene, Y., Makumbi, D., Manigben, K. A., Burgueño, J., Okayo, R., Woyengo, V. W., & Prasanna, B. M. (2025). Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation. Frontiers in Plant Science, 16, 1536981. https://doi.org/10.3389/fpls.2025.1536981
spellingShingle genotyping-by-sequencing
genome-wide association studies
forecasting
leaf spots
maize
Suresh, L.M.
Gowda, Manje
Beyene, Yoseph
Makumbi, Dan
Manigben, Kulai Amadu
Burgueño, Juan
Okayo, Robert
Woyengo, Vincent
Boddupalli, Prasanna
Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation
title Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation
title_full Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation
title_fullStr Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation
title_full_unstemmed Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation
title_short Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation
title_sort identification of gray leaf spot resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation
topic genotyping-by-sequencing
genome-wide association studies
forecasting
leaf spots
maize
url https://hdl.handle.net/10568/179103
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