Quantitative trait loci associated with resistance to gray leaf spot and grain yield in corn

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.

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Use of an Advanced Intercross Line Population for Precise Mapping of Quantitative Trait Loci for Gray Leaf Spot Resistance in Maize

Crop Science ◽

10.2135/cropsci2007.12.0679 ◽

2008 ◽

Vol 48 (5) ◽

pp. 1696-1704 ◽

Cited By ~ 30

Author(s):

Peter J. Balint-Kurti ◽

Randall Wisser ◽

John C. Zwonitzer

Keyword(s):

Quantitative Trait Loci ◽

Quantitative Trait ◽

Leaf Spot ◽

Gray Leaf Spot ◽

Advanced Intercross Line ◽

Precise Mapping ◽

Trait Loci

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Quantitative Trait Loci Controlling Resistance to Gray Leaf Spot in Maize

Crop Science ◽

10.2135/cropsci1993.0011183x003300040041x ◽

1993 ◽

Vol 33 (4) ◽

pp. 838-847 ◽

Cited By ~ 113

Author(s):

D. M. Bubeck ◽

M. M. Goodman ◽

W. D. Beavis ◽

D. Grant

Keyword(s):

Quantitative Trait Loci ◽

Quantitative Trait ◽

Leaf Spot ◽

Gray Leaf Spot ◽

Trait Loci

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Identification of quantitative trait loci controlling resistance to gray leaf spot disease in maize

Theoretical and Applied Genetics ◽

10.1007/bf00417945 ◽

1996 ◽

Vol 93 (4) ◽

pp. 539-546 ◽

Cited By ~ 64

Author(s):

M. A. Saghai Maroof ◽

Y. G. Yue ◽

Z. X. Xiang ◽

E. L. Stromberg ◽

G. K. Rufener

Keyword(s):

Quantitative Trait Loci ◽

Quantitative Trait ◽

Leaf Spot ◽

Gray Leaf Spot ◽

Leaf Spot Disease ◽

Spot Disease ◽

Trait Loci

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Identification of quantitative trait loci controlling resistance to gray leaf spot disease in maize

Theoretical and Applied Genetics ◽

10.1007/s001220050312 ◽

1996 ◽

Vol 93 (4) ◽

pp. 539-546 ◽

Cited By ~ 3

Author(s):

M. A. Saghai Maroof ◽

Y. G. Yue ◽

Z. X. Xiang ◽

E. L. Stromberg ◽

G. K. Rufener

Keyword(s):

Quantitative Trait Loci ◽

Quantitative Trait ◽

Leaf Spot ◽

Gray Leaf Spot ◽

Leaf Spot Disease ◽

Spot Disease ◽

Trait Loci

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Quantitative Trait Loci Associated with Resistance to Gray Leaf Spot of Corn

Phytopathology ◽

10.1094/phyto.2000.90.9.1018 ◽

2000 ◽

Vol 90 (9) ◽

pp. 1018-1025 ◽

Cited By ~ 47

Author(s):

M. J. Clements ◽

J. W. Dudley ◽

D. G. White

Keyword(s):

Quantitative Trait Loci ◽

Plant Height ◽

Quantitative Trait ◽

Leaf Spot ◽

Gray Leaf Spot ◽

Susceptible Parent ◽

Resistant Parent ◽

Trait Loci ◽

Ear Height ◽

One Year

The susceptible parent FR1141, the resistant parent 061, the F1 cross, and 301 families selfed once from backcrosses to the susceptible parent were evaluated for gray leaf spot (GLS) severity for two years in Urbana, IL, and one year in Andrews, NC. Linkage between ear height and GLS severity was suspected. Therefore, plant height characteristics were noted for two years in Urbana, IL. Eighty-six polymorphic probes were used to construct a random fragment length polymorphism linkage map, and the presence, locations, effects, and interactions of quantitative trait loci (QTL) associated with GLS, plant and ear height were determined. Five QTL were significantly associated with GLS resistance across all environments and rating periods. These five regions are associated with additive effects on phenotype and account for between 51.0 and 58.7% of the phenotypic variation associated with GLS severity. Additionally, six QTL were identified with maturity-dependent associations to GLS severity. Heritability of GLS resistance was estimated to be approximately 0.73. Four QTL were identified with associations to ear height relative to total plant height. One of the four was associated with higher ear height and GLS resistance.

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Quantitative Trait Loci Associated with Gray Leaf Spot Resistance in St. Augustinegrass

Plant Disease ◽

10.1094/pdis-04-20-0905-re ◽

2020 ◽

Vol 104 (11) ◽

pp. 2799-2806

Author(s):

Xingwang Yu ◽

Steve E. Mulkey ◽

Maria C. Zuleta ◽

Consuelo Arellano ◽

Bangya Ma ◽

...

Keyword(s):

Quantitative Trait Loci ◽

Quantitative Trait ◽

Leaf Spot ◽

Magnaporthe Grisea ◽

Disease Incidence ◽

Snp Markers ◽

Gray Leaf Spot ◽

Linkage Groups ◽

Resistant Parent ◽

Trait Loci

Gray leaf spot (GLS), caused by Magnaporthe grisea, is a major fungal disease of St. Augustinegrass (Stenotaphrum secundatum), causing widespread blighting of the foliage under warm, humid conditions. To identify quantitative trait loci (QTL) controlling GLS resistance, an F1 mapping population consisting of 153 hybrids was developed from crosses between cultivar Raleigh (susceptible parent) and plant introduction PI 410353 (resistant parent). Single-nucleotide polymorphism (SNP) markers generated from genotyping-by-sequencing constituted nine linkage groups for each parental linkage map. The Raleigh map consisted of 2,257 SNP markers and spanned 916.63 centimorgans (cM), while the PI 410353 map comprised 511 SNP markers and covered 804.27 cM. GLS resistance was evaluated under controlled environmental conditions with measurements of final disease incidence and lesion length. Additionally, two derived traits, area under the disease progress curve and area under the lesion expansion curve, were calculated for QTL analysis. Twenty QTL were identified as being associated with these GLS resistance traits, which explained 7.6 to 37.2% of the total phenotypic variation. Three potential GLS QTL “hotspots” were identified on two linkage groups: P2 (106.26 to 110.36 cM and 113.15 to 116.67 cM) and P5 (17.74 to 19.28 cM). The two major effect QTL glsp2.3 and glsp5.2 together reduced 20.2% of disease incidence in this study. Sequence analysis showed that two candidate genes encoding β-1,3-glucanases were found in the intervals of two QTL, which might function in GLS resistance response. These QTL and linked markers can be potentially used to assist the transfer of GLS resistance genes to elite St. Augustinegrass breeding lines.

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