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作 者:徐新福[1] 唐章林[1] 李加纳[1] 柴友荣[1] 王瑞[1] 谌利[1]
机构地区:[1]西南大学农学与生物科技学院,重庆市油菜工程技术研究中心,重庆400716
出 处:《中国农业科学》2008年第10期2963-2972,共10页Scientia Agricultura Sinica
基 金:国家“863”项目(20060110z1053);重庆市自然科学基金(CSTC2007BB1361);国家科技支撑计划(2006BAD01A04)
摘 要:【目的】以甘蓝型油菜为研究材料,探索杂种表现分子标记预测模式。【方法】以6份甘蓝型油菜隐性核不育两型系、11份恢复系为亲本按NCⅡ设计配制成66个杂交组合。利用F1的9个性状的表型值对亲本材料的SSR和AFLP标记位点进行筛选,建立标记效应和标记型值估算体系,估算这些特异标记位点对性状表现的效应及杂种标记型值,进而分析杂种标记型值与杂种表现的相关性,应用逐步回归分析建立9个性状杂种表现的分子标记预测模型。【结果】114个SSR和205个AFLP标记位点中,在0.01显著水平下9个性状筛选到的特异性标记位点分别为39~85个;不同标记位点对性状表现的效应大小、方向及作用方式存在广泛差异;9个性状的杂种F1标记型值与性状表现间的相关性均达到极显著水平,相关系数为0.6824~0.8113。9个预测模型中分别包括了6~14个标记位点,可决系数R2为0.5191~0.6783,预测模型稳定性强,精确度较高。【结论】利用标记型值预测作物杂种表现是一种有效的新途径,可以利用较少的标记位点建立甘蓝型油菜杂种表现预测模型。[Objective] Mathematic model was explored to predict hybrid performance using molecular markers in Brassica napus L. [Method] 66 hybrids were developed between six recessive nuclear male sterile lines and 11 restorer lines according to the design of North Carolina mating design Ⅱ (NC Ⅱ). Specific marker loci of SSR and AFLP with significant effects on nine agronomic traits of hybrids were chosen from DNA polymorphic loci among parents by ANOVA to estimate the effects of markers (additive or dominant) and the marker-type values of parents and their hybrids. The relation between the marker-type values and hybrid performance was analyzed. The mathematic models to predict hybrid performance were established by stepwise regression analysis. [Result] Marker loci with significant effects of additive or dominant (P=0.01), ranging from 39 to 85, were chosen from 114 SSR and 205 AFLP markers for nine agronomic traits, which exhibited different effects in the size and direction. High and significant (P〈0.01) relations of marker-type values were found with hybrid phenotype values with r ranging from 0.6824 to 0.8113 for nine traits. The models established with 6-14 marker loci can be used to predict precisely the hybrid performance, with R^2 ranging from 0.5191 to 0.6783 for nine traits. [Conclusion] It is a new and effective way to predict hybrid performance using marker-type values. It is possible to establish model to predict hybrid performance using small amounts of molecular markers in B. napus L..
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