PREDICTION OF MAIZE SINGLE-CROSS PERFORMANCE USING RFLPS AND INFORMATION FROM RELATED HYBRIDS
PREDICTION OF MAIZE SINGLE-CROSS PERFORMANCE USING RFLPS AND INFORMATION FROM RELATED HYBRIDS
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DOI：
10.2135/cropsci1994.0011183x003400010003x
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发表时间：
1994-01-01
期刊：
影响因子：
2.3
通讯作者：
BERNARDO, R
中科院分区：
文献类型：
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作者：
BERNARDO, R
预测杂交种产量的方法有助于上级玉米（Zea mays L.）单十字架基于（i）亲本近交系的限制性片段长度多态性（RFLP）数据和（ii）相关单杂交组的产量数据，对单杂交性能的最佳线性无偏预测进行了评估。m个单杂交的产量预测为y（M）= CV-I y（P），其中：没有产量数据）单交; C =缺失和预测杂种之间的遗传协方差的m × n矩阵; V =预测杂种之间的表型方差和协方差的n × n矩阵;以及y（P）=校正试验效应的预测杂种产量的n × 1向量。从六个爱荷华州硬茎合成（SSS）和九个非SSS近交系之间进行的一组54个单杂交中，随机选择100个不同组的n = 10、15、20、25或30个预测杂种。其余（54 - n）杂交种的预测和观察到的产量之间的相关系数为0.654至0.800。当显性方差包括在模型中，或当系数的共祖先确定从RFLP，而不是系谱数据的相关性略高。在不同的、任意的遗传方差值之间，相关性保持相对稳定。结果表明，根据亲本RFLP数据和相关组合的产量可以有效地预测单交种产量。
Methods for predicting hybrid yield would facilitate the identification of superior maize (Zea mays L.) single crosses. Best linear unbiased prediction of the performance of single crosses, based on (i) restriction fragment length polymorphism (RFLP) data on the parental inbreds and (ii) yield data on a related set of single crosses, was evaluated. Yields of m single crosses were predicted as y(M) = C V-1 y(P), where: y(M) = m x 1 vector of predicted yields of missing (i.e., no yield data available) single crosses; C = m x n matrix of genetic covariances between the missing and predictor hybrids; V = n x n matrix of phenotypic variances and covariances among predictor hybrids; and y(P) = n x 1 vector of predictor hybrid yields corrected for trial effects. From a set of 54 single crosses, made between six Iowa Stiff Stalk Synthetic (SSS) and nine non-SSS inbreds, 100 different sets of n = 10, 15, 20, 25, or 30 predictor hybrids were chosen at random. Pooled correlations between predicted and observed yields of the remaining (54 - n) hybrids ranged from 0.654 to 0.800. The correlations were slightly higher when dominance variance was included in the model or when coefficients of coancestry were determined from RFLP rather than pedigree data. The correlations remained relatively stable across different, arbitrary values of genetic variances. The results suggested that single-cross yield can be predicted effectively based on parental RFLP data and yields of a related set of hybrids.