Oakey Helena, Verbyla Arūnas, Pitchford Wayne, Cullis Brian, Kuchel Haydn
BiometricsSA, School of Agriculture and Wine, University of Adelaide, PMB 1, Glen Osmond, SA 5064, Australia.
Theor Appl Genet. 2006 Sep;113(5):809-19. doi: 10.1007/s00122-006-0333-z. Epub 2006 Aug 2.
A statistical approach is presented for selection of best performing lines for commercial release and best parents for future breeding programs from standard agronomic trials. The method involves the partitioning of the genetic effect of a line into additive and non-additive effects using pedigree based inter-line relationships, in a similar manner to that used in animal breeding. A difference is the ability to estimate non-additive effects. Line performance can be assessed by an overall genetic line effect with greater accuracy than when ignoring pedigree information and the additive effects are predicted breeding values. A generalized definition of heritability is developed to account for the complex models presented.
本文提出了一种统计方法，用于从标准农艺试验中选择商业推广的最佳表现品系以及未来育种计划的最佳亲本。该方法涉及利用基于系谱的系间关系，将品系的遗传效应划分为加性效应和非加性效应，这与动物育种中使用的方法类似。不同之处在于能够估计非加性效应。与忽略系谱信息时相比，通过整体遗传系效应评估品系表现可以获得更高的准确性，并且加性效应就是预测的育种值。为了考虑所提出的复杂模型，还制定了广义的遗传力定义。
