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Identification of QTLs and Environmental Interactions Associated with Agronomic Traits on Chromosome 3A of Wheat

B. T. Campbella, P. S. Baenziger*,b, K. S. Gillc, K. M. Eskridged, H. Budakb, M. Eraymanb, I. Dweikatb and Y. Yene

a Rice Exp. Station, Calif. Coop. Rice Res. Foundation, Biggs, CA 95917
b Dep. of Agronomy and Horticulture, Univ. of Nebraska, Lincoln, NE 68583
c Dep. of Crop and Soil Sciences, Washington State Univ., Pullman, WA 99164
d Dep. of Biometry, Univ. of Nebraska, Lincoln, NE 68583
e Dep. of Biology and Microbiology, South Dakota State Univ., Brookings, SD 57007



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Fig. 1. Composite interval mapping QTL scans along chromosome 3A showing the likely location of QTLs for (a.) grain yield and (b.) kernels per square meter using least square means from individual environments and combined across environments.

 


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Fig. 2. Summary of the location of QTLs for grain yield (GYLD), 1000-kernel weight (TKWT), spikes per square meter (SPSM), kernels per spike (KPS), kernels per square meter (KPSM), and grain volume weight (GVWT) detected on chromosome 3A across environments using composite interval mapping.

 




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Fig. 3. Statistically significant regressions of marker genotype mean on an environmental index estimated from the mean of marker genotypes grown in each of seven Nebraska environments minus the grand mean for: a.) grain yield (GYLD), b.) plant height (PHT), c.) 1000-kernel weight (TKWT), and d.) kernels per spike (KPS).

 





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Journal of Natural Resources
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Soil Science Society of America Journal
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Environmental Quality
The Plant Genome
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