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选取新育成的水稻7个恢复系和4个不育系以及经典不育系冈46A进行杂交得到15个杂交组合,分析F1组合性状间的关系探究单株产量的主要构成因子,计算出F1代产量的超亲优势,筛选39个与功能基因连锁紧密的SSR标记,来考察F1代各个性状关联的功能基因连锁标记的杂合率,并按照不同的方式建立模型并比较模型的可信度。结果表明:四川地区水稻单株产量主要受穗实粒数及千粒重的影响;考虑千粒重、结实率、穗实粒数、有效穗4个性状的预测模型仅考虑穗实粒数及千粒重2个性状的预测模型参数可信度更高;由于四川地区年均日照时间短,有效穗数的提升对单株产量提升影响较小,在使用分子标记预测杂种优势时,不选择有效穗相关功能基因的连锁标记,可以提高预测模型可信度。本研究建立了预测杂种F1代水稻单株产量的超亲优势模型,可为水稻育种亲本组合选配提供指导。
Fifteen hybrid combinations were selected from seven restorer lines, four restorer lines, four sterile lines and the classical sterile line Gang 46A of newly-bred rice, and the relationship between F1 combinations was analyzed to explore the main constituent factors of single-line yield, and the F1 generation Yield. The 39 SSR markers closely linked to functional genes were screened to investigate the heterozygosity of functional gene linkage markers associated with each trait in F1 generation. The model was established in different ways and the confidence of the model was compared. The results showed that the yield per plant of rice in Sichuan Province was mainly affected by the number of grains per spike and the weight of 1000-grain weight. The prediction model of four traits, including 1000-grain weight, seed setting rate, spikelet number and effective spike, Of the prediction model parameters have a higher degree of credibility. Due to the short annual average sunshine duration in Sichuan Province, the increase of effective panicle number has little effect on the increase of single plant yield. When using molecular markers to predict heterosis, Chain markers can improve the credibility of the forecasting model. In this study, a super-heterosis model for predicting per plant yield of hybrid F1 was established, which could provide guidance for the combination selection of rice breeding parents.