Brown rice rate (BRR), milled rice rate (MRR) and head rice rate (HRR) are important traits determining rice milling quality, so the effective prediction of these traits is of great importance to hybrid rice breeding. Positive loci (PL) and effectincreasing loci (IL) for BRR, MRR and HRR detected with 174 SSR markers were used to predict the performance of these three milling quality traits of 81 hybrid combinations derived from diallel crossing between 9 male sterile lines and 9 restorer lines via twogroup and threegroup methods, respectively. The results indicated that: 1) the correlation coefficients predicted via the twogroup method with IL of BRR, MRR and HRR were 0.553 (P<001), 0.613 (P<001) and 0.772 (P<0.01), respectively, significantly higher than those with PL; 2) with fixed male sterile lines, the correlation coefficients and significant level of three milling quality traits predicted with IL were much higher than those with fixed restorer lines, suggesting that male sterile lines exerted a higher influence on BRR, MRR and HRR than restorer lines; 3) with fixed male sterile lines, the predicting correlation coefficients of BRR, MRR, and HRR via threegroup method were 0.466 (P<0.05), 0.564 (P<0.01) and 0.688 (P<0.01) correspondingly, decreased by 17.7%, 8.0% and 10.9% than those via twogroup method, while the coefficients agreed well with each other with fixed restorer lines; 4) to the molecular prediction of milling quality in hybrid rice, the efficiency with fixed male sterile lines is statistically higher than that with fixed restorer lines, results by twogroup method is better than that by threegroup method. And among these three milling quality traits, HRR is more easier to predict, followed by MRR and BRR.
LING Yinghua, YANG Zhenglin, ZHAO Fangming, SANG Xianchun, LI Yunfeng, HE Guanghua*
. Molecular Prediction of Milling Quality of indica Hybrid Rice Based on Different Analyzing Strategies[J]. Chinese Journal OF Rice Science, 2012
, 26(1)
: 65
-69
.
DOI: 10.3969/j.issn.10017216.2012.01.011
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