Southeastern Forest Experiment Station, Genetics Department, North Carolina State University, Box 714, 27695-7614, Raleigh, NC, USA.
Theor Appl Genet. 1985 Jun;70(3):315-7. doi: 10.1007/BF00304918.
In breeding for multiple trait value functions, the existence of genotype-by-environment interaction effects can vastly complicate the designation of optimum sets of genotype-environment pairings into Target Populations of Environments. In this paper it is shown that even in the absence of any changes in genotypic ranking over environments on a trait-by-trait basis, it is possible to generate changes in genotypic ranking in value in different environments. This is shown to be true even for linear value functions in a case example in pine breeding.
在多性状值函数的选育中，基因型与环境互作效应的存在会极大地增加将基因型-环境组合最优集指定到目标环境群体中的复杂性。本文表明，即使在逐个性状上不存在基因型在环境中排序的任何变化的情况下，也有可能在不同环境中产生基因型在价值上的排序变化。即使在松树种质选育的线性价值函数情况下，这也是正确的。
