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空间统计分析在作物育种品系选择中的效果
引用本文:胡希远,李建平,宋喜芳.空间统计分析在作物育种品系选择中的效果[J].作物学报,2008,34(3):412-417.
作者姓名:胡希远  李建平  宋喜芳
作者单位:西北农林科技大学农学院, 陕西杨凌712100
基金项目:国家自然科学基金 , 教育部留学回归人员基金
摘    要:为了研究空间统计分析法在作物育种田间试验品系选择中的效果,采用剩余误差空间相关线性混合模型对一个具有56个品系的小麦育种随机区组设计田间试验产量资料进行了空间统计分析。运用地理统计学中的半变异函数法确定剩余误差空间协方差的函数。结果表明,试验的剩余误差存在着典型的空间相关性,利用剩余误差空间协方差结构的信息可降低品系效应估计的误差和提高品系效应差异F检验与t检验的效率。此外,空间分析法对品系效应估计受试验条件不均匀的影响小,可导致较经典方差分析法不同的品系排序和优系选择结果。

关 键 词:空间统计  植物育种  品系选择  
收稿时间:2007-07-25
修稿时间:2007年7月25日

Efficiency of Spatial Statistical Analysis in Superior Genotype Selection of Plant Breeding
HU Xi-Yuan,LI Jian-Ping,SONG Xi-Fang.Efficiency of Spatial Statistical Analysis in Superior Genotype Selection of Plant Breeding[J].Acta Agronomica Sinica,2008,34(3):412-417.
Authors:HU Xi-Yuan  LI Jian-Ping  SONG Xi-Fang
Institution:Agriculture Collage, Northwest A & F University, Yangling 712100, Shaanxi, China
Abstract:The objective of this study was to evaluate the efficiency of spatial statistical analysis in the superior genotype selection of plant breeding using the data from a yield trial of wheat with 56 test lines in a block design. The spatial analysis used linear mixed model with spatial covariance for residuals which was estimated using semivariogram defined in geostatistics. Results showed a typical spatial correlation of residuals, which allowed a reduction in standard errors of line effect estimate and a greater efficiency of F- and t-test in discrimination of lines when spatial analysis was applied. Furthermore, in estimation of line effect the spatial analysis was less influenced by assay condition variation, and led to a different ranking and selection of genetic materials, in comparison with traditional analysis of variance.
Keywords:Spatial statistics  Plant breeding  Superior genotype selection
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