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作物学报 ›› 2014, Vol. 40 ›› Issue (03): 466-475.doi: 10.3724/SP.J.1006.2014.00466

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

高丹草遗传效应与杂种表现预测模型

逯晓萍1,刘丹丹1,王树彦1,米福贵2,韩平安1,吕二锁1   

  1. 1内蒙古农业大学农学院, 内蒙古呼和浩特010019；2内蒙古农业大学生态环境学院, 内蒙古呼和浩特010019
  • 收稿日期:2013-03-11 修回日期:2013-09-06 出版日期:2014-03-12 网络出版日期:2013-11-14
  • 基金资助:

    本研究由国家自然科学基金项目(31160302)资助。

Genetic Effects and Heterosis Prediction Model of Sorghum  bicolor × S.sudanense Grass

LU Xiao-Ping1,LIU Dan-Dan1,WANG Shu-Yan1,MI Fu-Gui2,HAN Ping-An1,LÜ Er-Suo1   

  1. 1 Agronomy College, Inner Mongolia Agricultural University, Huhhot 010019, China; 2 College of Ecology and Environmental Science, Inner Mongolia Agricultural University, Huhhot 010019, China
  • Received:2013-03-11 Revised:2013-09-06 Published:2014-03-12 Published online:2013-11-14

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被引次数

8

摘要：

以5个高粱不育系材料为母本, 18个优质苏丹草材料为父本, 按照遗传交配设计(NCII)配制成90个杂交组合。分别在内蒙呼市和包头两地, 利用与高丹草产量相关的QTL位点标记检测亲本间的遗传差异, 并将F1的8个性状表型值对亲本材料进行标记位点的筛选, 建立标记效应和标记型值估算体系。估算特异性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, 应用逐步回归分析法建立8个性状杂种表现的预测模型, 并通过Jackknife抽样技术检测模型的精确度和稳定性。结果显示, 在分别考虑显性、加性作用下8个性状的标记型值与表型值的相关系数平均为0.65, 各性状的可决系数较大(0.51~0.88), 而且两地结果趋势一致, 表明该预测模型稳定性强, 精确度较高。该模型对高丹草的杂种表现预测以及亲本选配都具有一定的指导意义。

关键词: 高丹草, 遗传效应, AFLP, SSR, SRAP, 杂种表现, 预测模型

Abstract:

Molecular markers-based heterosis prediction can provide some advices for Sorghum ×Sudan grass breeding. The 90 cross combinations were made according to the North Carolina design II (NCII) with five sorghum sterile lines as maternal parents and 18 Sudan grass lines as paternal parents. The field trials were carried out on the farms in Hohhot and Baotou to evaluate environmental effects. The parental genetic differences were compared by yield related QTL markers. The phenotypic values of eight traits for all F1 hybrids were investigated. The values were used for selecting significant marker loci on parental lines for setting up the evaluation system of marker effect and marker value. The specific loci were used for evaluating the trait effects and hybrid marker value, and for analyzing the correlation between the marker value and heterosis. The prediction models of the eight traits for the hybrid were constructed with the stepwise regression analysis. The Jackknife sampling method was used to test the accuracy and stability of the model. The result indicated that, considering dominance and additive effect separately, eight traits showed the average correlation coefficient of 0.65 between vigor value and phenotypic value. The coefficient of determination was from 0.51 to 0.88 in the eight traits. The results in two places were similar. The model could be instructive for heterosis prediction and parents selection.

Key words: Sorghum ×Sudan grassGenetic effect, AFLP, SSR, SRAP, Heterosis, Prediction model

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