首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Model-based mean adjustment in quantitative germplasm evaluation data
Authors:HP Piepho
Institution:(1) Institut für Pflanzenbau und Grünland (340), Universität Hohenheim, Stuttgart, 70593, Germany
Abstract:Evaluation data from germplasm collections obtained across many years is often very unbalanced and sparse. For making efficient use of these data, it is desirable to compute summary statistics such as means. The simple arithmetic mean is not a useful measure, because due to the unbalancedness it may yield biased and thus misleading information. Some form of adjustment for diverging environmental effects is therefore needed. In this paper we advocate the use of a simple and well known least squares method to compute adjusted means. The method is exemplified using a published example on wheat (Triticum aestivum L.).
Keywords:Adjusted means  Analysis of variance  Bilinear model  Least squares  Non-orthogonal evaluation data  Wheat
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号