scholarly journals Mapping Resistance Quantitative Trait Loci for Three Foliar Diseases in a Maize Recombinant Inbred Line Population—Evidence for Multiple Disease Resistance?

2010 ◽  
Vol 100 (1) ◽  
pp. 72-79 ◽  
Author(s):  
John C. Zwonitzer ◽  
Nathan D. Coles ◽  
Matthew D. Krakowsky ◽  
Consuelo Arellano ◽  
James B. Holland ◽  
...  

Southern leaf blight (SLB), gray leaf spot (GLS), and northern leaf blight (NLB) are all important foliar diseases impacting maize production. The objectives of this study were to identify quantitative trait loci (QTL) for resistance to these diseases in a maize recombinant inbred line (RIL) population derived from a cross between maize lines Ki14 and B73, and to evaluate the evidence for the presence genes or loci conferring multiple disease resistance (MDR). Each disease was scored in multiple separate trials. Highly significant correlations between the resistances and the three diseases were found. The highest correlation was identified between SLB and GLS resistance (r = 0.62). Correlations between resistance to each of the diseases and time to flowering were also highly significant. Nine, eight, and six QTL were identified for SLB, GLS, and NLB resistance, respectively. QTL for all three diseases colocalized in bin 1.06, while QTL colocalizing for two of the three diseases were identified in bins 1.08 to 1.09, 2.02/2.03, 3.04/3.05, 8.05, and 10.05. QTL for time to flowering were also identified at four of these six loci (bins 1.06, 3.04/3.05, 8.05, and 10.05). No disease resistance QTL was identified at the largest-effect QTL for flowering time in bin 10.03.

Crop Science ◽  
2002 ◽  
Vol 42 (1) ◽  
pp. 271-277 ◽  
Author(s):  
J. Yuan ◽  
V. N. Njiti ◽  
K. Meksem ◽  
M. J. Iqbal ◽  
K. Triwitayakorn ◽  
...  

Crop Science ◽  
2002 ◽  
Vol 42 (1) ◽  
pp. 271 ◽  
Author(s):  
J. Yuan ◽  
V. N. Njiti ◽  
K. Meksem ◽  
M. J. Iqbal ◽  
K. Triwitayakorn ◽  
...  

2008 ◽  
Vol 98 (3) ◽  
pp. 315-320 ◽  
Author(s):  
P. J. Balint-Kurti ◽  
J. C. Zwonitzer ◽  
M. E. Pè ◽  
G. Pea ◽  
M. Lee ◽  
...  

The genetic architecture underlying resistance in maize to southern leaf blight (SLB) caused by Cochliobolus heterostrophus race O is not well understood. The objective of this study was to identify loci contributing to SLB resistance in two recombinant inbred line populations and to compare these to SLB resistance loci in other populations. The two populations used were derived from crosses between maize inbred lines H99 and B73 (HB population–142 lines) and between B73 and B52 (BB population–186 lines). They were evaluated for SLB resistance and for days from planting to anthesis (DTA) in 2005 and 2006. Two replications arranged as randomized complete blocks were assessed in each year for each population. Entry mean heritabilities for disease resistance were high for both populations (0.876 and 0.761, respectively). Quantitative trait loci (QTL) for SLB resistance were identified in bins 3.04 (two QTL), 6.01, and 8.05 in the HB population and in bin 2.07 in the BB population. No overlap of DTA and SLB resistance QTL was observed, nor was there any phenotypic correlation between the traits. A comparison of the results of all published SLB resistance QTL studies suggested that bins 3.04 and 6.01 are ‘hotspots’ for SLB resistance QTL.


2006 ◽  
Vol 96 (10) ◽  
pp. 1067-1071 ◽  
Author(s):  
P. J. Balint-Kurti ◽  
M. D. Krakowsky ◽  
M. P. Jines ◽  
L. A. Robertson ◽  
T. L. Molnár ◽  
...  

A recombinant inbred line population derived from a cross between the maize lines NC300 (resistant) and B104 (susceptible) was evaluated for resistance to southern leaf blight (SLB) disease caused by Cochliobolus heterostrophus race O and for days to anthesis in four environments (Clayton, NC, and Tifton, GA, in both 2004 and 2005). Entry mean and average genetic correlations between disease ratings in different environments were high (0.78 to 0.89 and 0.9, respectively) and the overall entry mean heritability for SLB resistance was 0.89. When weighted mean disease ratings were fitted to a model using multiple interval mapping, seven potential quantitative trait loci (QTL) were identified, the two strongest being on chromosomes 3 (bin 3.04) and 9 (bin 9.03–9.04). These QTL explained a combined 80% of the phenotypic variation for SLB resistance. Some time-point-specific SLB resistance QTL were also identified. There was no significant correlation between disease resistance and days to anthesis. Six putative QTL for time to anthesis were identified, none of which coincided with any SLB resistance QTL.


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