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Title: | Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn |
Other Titles: | QTLs associados à resistência a cercosporiose e produção de grãos em milho |
Keywords: | Maximum likelihood Microsatellites Regression Máxima verossimilhança Microssatélites Regressão |
Issue Date: | 2012 |
Publisher: | Editora da Universidade Federal de Lavras |
Citation: | VEIGA, A. D. et al. Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn. Ciência e Agrotecnologia, Lavras, v. 36, n. 1, p. 31-38, jan./fev. 2012. |
Abstract: | The main objectives of hybrid development programs include incorporating genetic resistance to diseases and increasing grain yield. Identification of Quantitative Trait Loci (QTL) through the statistical analysis of molecular markers allows efficient selection of resistant and productive hybrids. The objective of this research was to identify QTL associated with resistance to gray leaf spot and for grain yield in the germplasm of tropical corn. We used two strains with different degrees of reaction to the disease; the genotypes are owned by GENESEEDS Ltda, their F1 hybrid and the F2 population. The plants were evaluated for gray leaf spot resistance, for grain yield and were genotyped with 94 microsatellite markers. Association of the markers with the QTL was performed by single marker analysis using linear regression and maximum likelihood analysis. It was observed that the additive effect was predominant for genetic control of resistance to gray leaf spot, and the dominant effect in that of grain yield. The most promising markers to be used in studies of assisted selection are: umc2082 in bins 4.03 and umc1117 in bins 4.04 for resistance to gray leaf spot; for grain yield umc1042 in bins 2.07 and umc1058 in bins 4.11. |
URI: | http://repositorio.ufla.br/jspui/handle/1/1483 |
Appears in Collections: | DAG - Artigos publicados em periódicos DEX - Artigos publicados em periódicos |
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File | Description | Size | Format | |
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ARTIGO_Quantitative traits.pdf | 116,92 kB | Adobe PDF | View/Open |
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