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Genotype-environment interaction in Cordia trichotoma(Vell.)Arrá*** *** in two different soil conditions

Journal of Forestry Research 2022年第1期33卷 309-319页

作者： Wanderley dos Santos Bruno Marchetti de Souza Daniele Fernanda Zulian Gilberto Terra Ribeiro Alves João Bosco Vasconcellos Gomes Mário Luiz Teixeira de Moraes Valderês Aparecida de Sousa ananda virginia de aguiar Faculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista“Júlio Mesquita Filho”Ilha Solteira 15385-000Brazil Sucupira Agroflorestas Fazenda SucupiraValença 45400-000Brazil EMBRAPA Florestas Empresa Brasileira de Pesquisa AgropecuáriaColombo 83411-000Brazil

Investment in silvicultural techniques is noticeably lacking,especially in breeding programs for non-conventional wood *** genotype×environment interaction(G×E)is essential to the development of breeding ***,this study aimed to estimate genetic diversity of and the effects of G×E interaction on two progeny tests of Cordia trichotoma,including the estimation of genetic gain and genetic diversity after *** the experiment,30 progenies of *** were tested at two sites with differing soil *** at breast height(1.30 m above soil surface,dbh-cm),total height,diameter at 30 cm from the soil,first branch height,and survival were all monitored for four *** deviance,best linear unbiased estimator,and harmonic mean of relative performance of genetic values(MHPRVG)were all calculated to predict breeding values,estimate genetic parameters,and analyze *** quantified traits varied significantly among progenies by soil type,with greatest variation recorded for genetic *** of the progenies led to predictions of genetic gain,ranging from 7.73 to 15.45%,for dbh at four years of *** calculated decrease in genetic diversity after selection showed that this parameter should be monitored in subsequent breeding cycles.G×E was low for all *** best-performing progenies proved most stable and best adapted to the different environmental conditions tested.

关键词： Effective population number Native species Productivity Stability and adaptability Tree improvement

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