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利用重庆和泸州两个环境下种植的两套杂交水稻不完全双列组合(按NCII设计),结合SSR和AFLP标记,按照单向分组的方差分析法筛选与F_2碾磨品质表现相关的阳性位点和增效位点,分别就此两类位点建立相应的预测模型,同时采用包括基因型×环境互作效应的种子遗传模型对这两套材料进行遗传效应分析,旨在分析水稻碾磨品质的分子预测效果及其与遗传效应之间的关系.结果表明:(1)增效预测模型较阳性预测模型稳定性好,精确度高.糙米率、精米率和整精米率的增效预测模型可决系数分别为0.6467、0.6516和0.7265,而阳性预测模型则为0.4053、0.4981和0.6897;增效预测模型的剩余平方和分别为0.8104、0.8011和4.4508,而阳性预测模型则为0.9826、0.9673和6.2676;增效预测模型的预测变异系数为6.79%、7.27%和5.02%,而阳性预测模型则为9.12%、8.13%和6.09%.(2)增效预测模型预测效果因材料和性状的不同存在差异,套内预测好于套间预测,固定不育系预测好于固定恢复系预测;预测效果以整精米率最好,精米率次之,糙米率稍差;(3)不同性状和材料的预测效果受环境互作的影响不同,糙米率受环境互作影响大于精米率大于整精米率.因此,可根据不育系和恢复系材料特性,在一定环境条件下建立碾磨品质性状的预测模型,或者选择遗传主效应表现良好,同时环境互作效应表现较为稳定的亲本建立预测模型,可能将会获得较为理想的预测效果.
The two hybrid rice lines planted in Chongqing and Luzhou under the two environments were not completely double-banded (according to the NCII design). SSR and AFLP markers were used to screen the positives related to the quality of F 2 milling according to one-way analysis of variance Point and synergistic loci, the corresponding predictive models were set up for the two types of loci respectively. The genetic effects of these two sets of materials were analyzed using the seed genetic model including the genotype × environment interaction effects. The aim was to analyze the effects of rice milling quality The results showed that: (1) Compared with the positive predictive model, the synergistic predictive model has good stability and high accuracy.The efficiency prediction model of brown rice rate, milled rice rate and milled rice rate The coefficient of determination was 0.6467, 0.6516 and 0.7265 respectively, while the positive predictive models were 0.4053, 0.9881 and 0.6897 respectively. The residual squares of the synergistic predictive models were 0.8104, 0.8011 and 4.4508 respectively, while the positive predictive models were 0.9826, 0.9673 and 6.2676 While the positive predictive models were 9.12%, 8.13% and 6.09%, respectively. (2) The predictive effect of the model for predicting the efficiency of the synergistic model was affected by the material and traits The results showed that the rate of CMS was the best, the rate of milled rice was second, and the rate of brown rice was a little worse; (3) The characters of different traits and materials The effect of environmental intercourse is different, the brown rice rate is more affected by environment interaction than the milled rice rate is higher than the milled rice rate.Therefore, based on the material characteristics of the sterile and restorer lines, the quality traits of milling are established under certain environmental conditions Predictive model, or choose the genetic main effect of good performance, while the environmental interaction effect is relatively stable parents to establish a predictive model may be to obtain a more satisfactory prediction effect.