Sae-Lim Panya, Kause Antti, Janhunen Matti, Vehviläinen Harri, Koskinen Heikki, Gjerde Bjarne, Lillehammer Marie, Mulder Han A
Nofima Ås, Osloveien 1, P.O. Box 210, NO-1431 Ås, Norway.
Natural Resources Institute Finland (LUKE), Biometrical Genetics, FI-31600, Jokioinen, Finland.
Genet Sel Evol. 2015 May 19;47(1):46. doi: 10.1186/s12711-015-0122-8.
When rainbow trout from a single breeding program are introduced into various production environments, genotype-by-environment (GxE) interaction may occur. Although growth and its uniformity are two of the most important traits for trout producers worldwide, GxE interaction on uniformity of growth has not been studied. Our objectives were to quantify the genetic variance in body weight (BW) and its uniformity and the genetic correlation (rg) between these traits, and to investigate the degree of GxE interaction on uniformity of BW in breeding (BE) and production (PE) environments using double hierarchical generalized linear models. Log-transformed data were also used to investigate whether the genetic variance in uniformity of BW, GxE interaction on uniformity of BW, and rg between BW and its uniformity were influenced by a scale effect.
Although heritability estimates for uniformity of BW were low and of similar magnitude in BE (0.014) and PE (0.012), the corresponding coefficients of genetic variation reached 19 and 21%, which indicated a high potential for response to selection. The genetic re-ranking for uniformity of BW (rg = 0.56) between BE and PE was moderate but greater after log-transformation, as expressed by the low rg (-0.08) between uniformity in BE and PE, which indicated independent genetic rankings for uniformity in the two environments when the scale effect was accounted for. The rg between BW and its uniformity were 0.30 for BE and 0.79 for PE but with log-transformed BW, these values switched to -0.83 and -0.62, respectively.
Genetic variance exists for uniformity of BW in both environments but its low heritability implies that a large number of relatives are needed to reach even moderate accuracy of selection. GxE interaction on uniformity is present for both environments and sib-testing in PE is recommended when the aim is to improve uniformity across environments. Positive and negative rg between BW and its uniformity estimated with original and log-transformed BW data, respectively, indicate that increased BW is genetically associated with increased variance in BW but with a decrease in the coefficient of variation. Thus, the scale effect substantially influences the genetic parameters of uniformity, especially the sign and magnitude of its rg.
当将来自单一育种计划的虹鳟鱼引入各种生产环境时,可能会发生基因型与环境互作(GxE)。尽管生长及其均匀度是全球鳟鱼养殖者最重要的两个性状,但尚未对生长均匀度的GxE互作进行研究。我们的目标是量化体重(BW)及其均匀度的遗传方差以及这些性状之间的遗传相关性(rg),并使用双重层次广义线性模型研究在育种(BE)和生产(PE)环境中BW均匀度的GxE互作程度。还使用对数转换数据来研究BW均匀度的遗传方差、BW均匀度的GxE互作以及BW与其均匀度之间的rg是否受尺度效应影响。
尽管BE(0.014)和PE(0.012)中BW均匀度的遗传力估计值较低且幅度相近,但相应的遗传变异系数分别达到19%和21%,这表明具有较高的选择响应潜力。BE和PE之间BW均匀度的遗传重新排序(rg = 0.56)适中,但对数转换后更大,如BE和PE中均匀度之间的低rg(-0.08)所示,这表明在考虑尺度效应时,两种环境中均匀度的遗传排名是独立的。BE中BW与其均匀度之间的rg为0.30,PE中为0.79,但对于对数转换后的BW,这些值分别变为-0.83和-0.62。
两种环境中BW均匀度均存在遗传方差,但其低遗传力意味着需要大量亲属才能达到甚至中等的选择准确性。两种环境中均存在均匀度的GxE互作,当目标是提高跨环境的均匀度时,建议在PE中进行同胞测试。分别用原始和对数转换的BW数据估计的BW与其均匀度之间的正rg和负rg表明,BW增加与BW方差增加在遗传上相关,但变异系数降低。因此,尺度效应极大地影响均匀度的遗传参数,尤其是其rg的符号和大小。