Identification of Gray Leaf Spot Resistant Donor Lines in Tropical Maize Germplasm and Their Agronomic Performance Under Artificial Inoculation

SURESH L. M. ¹ Manje S Gowda ^1* Yoseph Beyene ¹ Dan Makumbi ¹ Manigben Kulai Amadu ^1,2,3 Juan Burgueño ⁴ Robert Okayo ¹ Woyengo Vincent Were ⁵ Prasanna M Boddupalli ¹

• ¹ The International Maize and Wheat Improvement Center (CIMMYT), Nairobi, Kenya
• ² CSIR-Savanna Agricultural Research Institute, Nyankpala, Ghana
• ³ West African Centre for Crop Improvement, College of Basic and Applied Sciences, University of Ghana, Legon, Greater Accra, Ghana
• ⁴ International Maize and Wheat Improvement Center (Mexico), Texcoco, Tabasco, Mexico
• ⁵ Kenya Agricultural and Livestock Research Organization, Nairobi, Kenya

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 four years. Further, 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 <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 were 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 markerassisted 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.