Genotype by Environment Interaction for Growth Traits of Clones of Populus Section Aigeiros Based on BLUP and GGE Biplot

被引：2

作者：

Li J. ^{[1
]}

机构：

[1] State Key Laboratory of Tree Genetics and Breeding Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration Research Institute of Forestry, Chinese Academy of Forestry, Beijing

来源：

Linye Kexue/Scientia Silvae Sinicae | 2021年 / 57卷 / 06期

关键词：

Best linear unbiased predication (BLUP); Genotype by environment interaction (GEI); Genotype main effect plus genotype-environment interaction effect (GGE) biplot; Linear mixed model (LMM); Multi-environmental regional trial (MET); Populus Section Aigeiros;

D O I：

10.11707/j.1001-7488.20210607

中图分类号：

学科分类号：

摘要：

【Objective】The aim of this study was to evaluate growth and stability of clones (varieties) of Populus Section Aigeiros, and discrimination and representativeness of each trial sites of the regional clonal trials based on BLUP and GGE (genotype main effect plus genotype-environmental interaction effect) biplot, and provide the theoretical basis for selection and application of the introduced clones. 【Method】DBH and height of 15 clones at 9 trial sites were measured at age of 6 years, linear mixed models (LMM) with site as fixed effect and clone, clone by site interaction as random effects were to be used for best linear unbiased prediction (BLUP) analysis. Then BLUP data of DBH and height for each clone at each site were obtained to conduct GGE biplot for evaluating these introduced clones and regional trial sites. 【Result】The first two principal components (PC1 and PC2) of GGE biplot explain respectively 84.69% and 69.83% of the variance based on BLUP data of DBH and height. GGE bioplot based on BLUP data of DBH showed that the 9 trial sites were positively correlated with each other. The 9 trial sites were divided into 2 groups: Yongqing of Hebei and Jinxiang of Shandong in a group, with the largest DBH of clone 50, and the other 7 sites in another group, with the largest DBH of clone Por. Changping of Beijing and Yongqing of Hebei were the most discriminative sites, while Ningyang (Gaoqiao) of Shandong and Weixian of Hebei were the most representative sites. The clone Por had the largest DBH, followed by the clones Pa, 36, 108, 50, 111, and 107, all of which were larger than the average. The clone Og had a DBH close to the average, and the clone La showed the smallest DBH, the clones 107, Me, 108, Br, Og and 36 displayed a better stability. 【Conclusion】 GGE biplots based on BLUP data of DBH and height were different, and the GGE biplots of DBH were more reliable than that of height. The clone Por had the largest DBH followed by Pa, 36, 108, 50, 111 and 107. The clones 107, Me, 108, Br, Og and 36 showed a better stability with DBH. Comprehensively, the clones Por, Pa, 36, 108 and 107 showed both better stability and fast growth. © 2021, Editorial Department of Scientia Silvae Sinicae. All right reserved.

引用

页码：64 / 73

页数：9

共 28 条

[11] Yan W K., Optimal use of biplots in analysis of multi-location variety test data, Acta Agronomica Sinica, 36, 11, pp. 1805-1819, (2010)
[12] Zhang Q W, Li J H., New cultivars of poplar industrial plantation, (2003)
[13] Zhao X Y, Li Y, Zhao L, Et al., Analysis and evaluation of growth and adaptive performance of white poplar hybrid clones in different sites, Journal of Beijing Forestry University, 35, 6, pp. 7-14, (2013)
[14] Zheng C H, Zhang H J, Wang Y Z, Et al., An analysis of a regional trial of Larix principis-rupprechtii families based on BLUP and GGE biplot, Scientia Silvae Sinicae, 55, 8, pp. 73-83, (2019)
[15] Bentzer B G, Foster G S, Hellberg A R, Et al., Genotype×environment interaction in Norway spruce involving three levels of genetic control: seed source, clone mixture, and clone, Canada Journal Forestry Research, 1, 8, pp. 1172-1181, (1988)
[16] Cullis B R, Jefferson P, Thompson R, Et al., Factor analytic and reduced animal models for the investigation of additive genotype-by-environment interaction in outcrossing plant species with application to a Pinus radiata breeding programme, Theoretical and Applied Genetics, 217, 10, pp. 2193-2210, (2014)
[17] Li B, Wu R., Heterosis and genotype × environment interactions of juvenile aspens in two contrasting sites, Canadian Journal of Forest Research, 27, 10, pp. 1525-1537, (1997)
[18] Li Y, Suontama M, Burdon R D, Et al., Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application, Tree Genetics & Genomes, 13, 3, pp. 60-77, (2017)
[19] Nelson N D, Berguson W E, Mcmahon B G, Et al., Growth performance and stability of hybrid poplar clones in simultaneous tests on six sites, Biomass and Bioenergy, 118, pp. 115-125, (2018)
[20] Pliura A, Zhang S Y, Mackay J, Et al., Genotypic variation in wood density and growth traits of poplar hybrids at four clonal trials, Forest Ecology and Management, 238, 1, pp. 92-106, (2007)

← 1 2 3 →