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作物学报 ›› 2008, Vol. 34 ›› Issue (03): 412-417.doi: 10.3724/SP.J.1006.2008.00412

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

空间统计分析在作物育种品系选择中的效果

胡希远;李建平;宋喜芳   

  1. 西北农林科技大学农学院, 陕西杨凌712100
  • 收稿日期:2007-07-25 修回日期:1900-01-01 出版日期:2008-03-12 网络出版日期:2008-03-12
  • 通讯作者: 胡希远

Efficiency of Spatial Statistical Analysis in Superior Genotype Selection of Plant Breeding

HU Xi-Yuan,LI Jian-Ping,SONG Xi-Fang   

  1. Agriculture Collage, Northwest A & F University, Yangling 712100, Shaanxi, China
  • Received:2007-07-25 Revised:1900-01-01 Published:2008-03-12 Published online:2008-03-12
  • Contact: HU Xi-Yuan

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

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.

Key words: Spatial statistics, Plant breeding, Superior genotype selection

[1] 陈彦清,曹永生,方沩*,陈丽娜. 综合农业分区尺度下农作物种质资源的空间分布特征[J]. 作物学报, 2017, 43(03): 378-388.
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