GENOME-WIDE ASSOCIATION MAPPING REVEALS | ||
IRAQ JOURNAL OF AGRICULTURE | ||
Article 1, Volume 19, Issue 6, October 2014, Pages 0-0 | ||
Authors | ||
Z. K. Al-Shugeairy; A. H Price; D. Robinson | ||
Abstract | ||
Improving the drought resistance of high yielding rice (Oryza sativa L.) varieties for areas prone to drought is a goal of rice breeders. Identify the location of genes that impart to drought avoidance in a quantitative manner should capable the using of these genes in plant breeding and speed up this goal. A total of 328 cultivars of the Diversity Panel Rice have been assessed for drought avoidance. Quantitative trait loci (QTLs) for the visual scores of leaf rolling were identified by using efficient mixed model analysis (EMMA). QTLs were considered reportable if they had P values (below 0.0001). The most significant SNP associations (EMMA4.2, EMMA6.2 and EMMA7.1 respectively) were in each of the rice chromosomes 4, 6 and 7. All genes positioned 200 kb around associations were selected. The candidacies of the most promising were Zinc finger proteins (Os04g53700), organic cation transporter protein (Os04g53930) and bZIP transcription factor (Os06g41770) which has been expressed in leaf tissue and need to be investigated further | ||
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