Evaluation of experimental designs and spatial analyses in wheat breeding trials
Evaluation of experimental designs and spatial analyses in wheat breeding trials
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DOI：
10.1007/s001220050002
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发表时间：
2000-01-01
影响因子：
5.4
通讯作者：
Cooper, M
中科院分区：
文献类型：
--
作者：
Qiao, CG;Basford, KE;Cooper, M
1994 ~ 1996年在澳大利亚北方谷物区（QLD和北方NSW）进行了33个小麦育种试验，以评价试验设计和空间分析对产量基因型效应估计的影响及其对选择决策的影响。替代设计和分析的相对效率最好通过线平均值之间差异的平均标准误差来衡量。相对于随机化完全区组模型，更有效的设计和空间分析均显着提高了效率，首选模型（结合了设计信息和空间趋势）在所有33项试验中的平均相对效率为138%。当使用Czekanowski相似系数时，在选择顶线时，所研究的模型均与随机化完全区组模型完全一致。该协议的影响，选择比例。因此，这些方法的使用可以影响植物育种中的选择决策。
Thirty-three wheat breeding trials were conducted from 1994 to 1996 in the Northern Grains Region (QLD and Northern NSW) of Australia to evaluate the influence of experimental designs and spatial analyses on the estimation of genotype effects for yield and their impact on selection decisions. The relative efficiency of the alternative designs and analyses was best measured by the average standard error of difference between line means. Both more effective designs and spatial analyses significantly improved the efficiency relative to the randomised complete block model, with the preferred model (which combined the design information and spatial trends) giving an average relative efficiency of 138% over all 33 trials. When the Czekanowski similarity coefficient was used, none of the studied models were in full agreement with the randomised complete block model in the selection of the top lines. The agreement was influenced by selection proportions. Hence, the use of these methodologies can impact on the selection decisions in plant breeding.