文献类型：期刊文献

英文题名：Spatial and competition models increase the progeny testing efficiency of Japanese larch

作者：Dong, Leiming[1,2] Xie, Yunhui[1,2] Wu, Harry X.[3,4,5] Sun, Xiaomei[1,2]

第一作者：Dong, Leiming

通信作者：Sun, XM[1];Sun, XM[2]

机构：[1]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forestry, State Forestry Adm, Key Lab Tree Breeding & Cultivat, Beijing 100091, Peoples R China;[3]Swedish Univ Agr Sci, Dept Forest Genet & Plant Physiol, Umea Plant Sci Ctr, SE-90183 Umea, Sweden;[4]Beijing Forestry Univ, Beijing Adv Innovat Ctr Tree Breeding Mol Design, Beijing 100083, Peoples R China;[5]CSIRO NRCA, Black Mt Lab, Canberra, ACT 2601, Australia

年份：2020

卷号：50

期号：12

起止页码：1373-1382

外文期刊名：CANADIAN JOURNAL OF FOREST RESEARCH

收录：;EI(收录号：20204709514492);Scopus(收录号：2-s2.0-85096243249);WOS:【SCI-EXPANDED(收录号:WOS:000592773600012)】；

基金：The authors thank Facundo Munoz for kind assistance in using breedR and Zhiqiang Chen for his advice and valuable suggestions. This work was funded by the Fundamental Research Funds for the Central Non-profit Research Institution of the Chinese Academy of Forestry (CAFYBB2018ZY001-4).

语种：英文

外文关键词：progeny test; Larix kaempferi; spatial heterogeneity; competition; indirect genetic effect

摘要：The main purpose of this study was to examine spatial and competition effects on estimates of genetic parameters, as well as on selection options for growth traits, including height (H), diameter at breast height (DBH), and volume (V), in a progeny test of Japanese larch (Larix kaempferi (Lam.) Carriere) at age 20 years. We compared performances among the individual-tree additive genetic base model (B) with design factors only, the spatial effect model (AR1), the competition model (C), and the combined competition and spatial model (CS). We found that spatial heterogeneity had significant effects on growth traits and that plot variance decreased by more than 80% in the AR1 model relative to the B model. Competition had significant effects on DBH and V but a smaller effect oil H. In the C model, direct additive genetic variances ((sigma) over cap (2)(Ad)) for DBH and V increased by 205% and 93%, respectively, whereas residual variances ((sigma) over cap (2)(Ad)) decreased by 8% and 6%, respectively. In the CS model, the correlations between direct and competitive genetic effects were 0.83, -0.97, and -0.98 for H, DBH, and V, respectively. Competition significantly affected the forward selection. The proportions of selected elite trees were only 39% and 25% common between the B and CS models for DBH and V, respectively, when selection intensity was 5%. For breeding selection, depending on thinning regimes planned, trees of high additive breeding values but low competitive breeding values are preferable for plantation.