Statistical methods to explore genotype-by-environment interaction for loblolly pine clonal trials

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• 作者：Salvador Alejandro Gezan ; Melissa Pisaroglo de Carvalho…
• 关键词：Multi ; environment trials ; MET ; Two ; stage analyses ; Factor analytic ; Unstructured ; Type B genetic correlation
• 刊名：Tree Genetics & Genomes
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：13
• 期：1
• 全文大小：
• 刊物主题：Forestry; Plant Genetics & Genomics; Plant Breeding/Biotechnology; Tree Biology; Biotechnology;
• 出版者：Springer Berlin Heidelberg
• ISSN：1614-2950
• 卷排序：13

文摘

The success of a genetic improvement program is contingent on developing genotypes with superior performance in productivity and/or quality across varied environmental conditions. In order to provide a better insight of the dynamics of genotype-by-environment (GxE) interaction on 975 loblolly pine (Pinus taeda L.) clones, the present study evaluated a series of six trials in the Southeast USA that were measured for total stem volume and survival under two silvicultural treatments (operational and intensive). Objectives included the following: (1) estimate the magnitude of the GxE and to understand its dynamics; (2) estimate and compare type B genetic correlations and clonal genetic values based on and one- and two-stage analyses and factor analytic analysis; (3) obtain clonal rankings for each site, and across all sites and calculate potential genetic gains; and (4) explore relationships between genotypes and environments through Biplots. Results indicate similar ranking for genotypes selected in each of the two silvicultural treatments (clonal genetic correlations >0.89 for volume). Important levels of GxE interaction for volume and survival were detected for clones in the one-stage analyses (average type B genetic correlation estimates of 0.63 and 0.57 for VOL and SURV, respectively). The one- and two-stage analyses provided similar genetic correlations, rankings, and breeding values. Factor analytic error structure was appropriate to model complex GxE interaction. One-stage analyses produced higher heritabilities than two-stage approaches with these data from six sites. Biplots summarized the GxE interaction successfully and confirmed the positive correlation between all environments for volume and survival.