气候变化领域集成服务门户(CCPortal): Adaptability and stability of eucalypt clones at different ages across environmental gradients in Brazil

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DOI	10.1016/j.foreco.2019.117631
	Adaptability and stability of eucalypt clones at different ages across environmental gradients in Brazil
	de Araujo M.J.; de Paula R.C.; Campoe O.C.; Carneiro R.L.
发表日期	2019
ISSN	0378-1127
卷号	454
英文摘要	The genetic gains from eucalypt breeding programs have decreased compared to previous decades while productivity reduced in recent years. This decrease is mainly attributed to climate change that, according to studies, has been limiting productivity and changing the adaptation of forest species. But other aspects can be listed, as pests and diseases and decreasing gains with the advance of breeding programs. The objective of this work is to investigate the genotype × site × age interaction in a multi-environment trial with eucalypt clones to verify the adaptability and stability of the genotypes and, finally, to identify mega-environments over time, as well as the influence of climate variables on the genotype performances. The trait diameter at breast height (DBH) of 11 Eucalyptus commercial clones at 11 sites (range from −0.84 to −24.23 latitude and from −39.60 to −52.59 longitude) and three evaluated ages (Age 1 – ranging from 13 to 17 months after planting; Age 2 – from 31 to 34 months; Age 3 – from 48 to 53 months old) was measured and analyzed by factor analytic multiplicative mixed (FAMM) model associated with the GGE biplot and multivariate regression tree using climate variables. A significant G × E interaction and genotypes with different performance across environments and ages were observed. There are clones with high adaptability to specific sites while others show good stability. The results clustered the sites into three mega-environments according to a latitude gradient, over time. The performance of Eucalyptus clones over time indicate precisely either roughly similar or extremely contrasting environments. Temperature affected the most the clustering of the studied sites followed by the latitudinal gradient, impacting productivity negatively, regardless of age. These results may help future studies on the development of selection strategies in tropical regions to address climate change and assist forest breeding programs to deal with the effect of climate change on eucalypt productivity. © 2019 Elsevier B.V.
英文关键词	AIREML; Climate change; Eucalyptus; Forest breeding programs; Genetic correlation; G × E interaction
语种	英语
scopus关键词	Climate models; Cloning; Forestry; Productivity; Regression analysis; AIREML; Breeding program; Diameter-at-breast heights; Environmental gradient; Eucalyptus; Genetic correlation; Latitudinal gradients; Multivariate regression trees; Climate change; climate change; clonal organism; environmental gradient; genetic analysis; genotype-environment interaction; latitude; selective breeding; tropical region; Age; Clones; Environments; Eucalyptus; Forestry; Productivity; Regression Analysis; Sites; Eucalyptus
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/155698
作者单位	São Paulo State University (Unesp), School of Agricultural and Veterinarian Sciences, Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane, Km 5, Zip Code: 14.884-900, Jaboticabal, SP, Brazil; Department of Forestry Science, Federal University of Lavras, Campus Box 3037, Zip Code: 37.200-000, Lavras, Minas Gerais, Brazil; Forest Science and Research Institute (IPEF), Via Comendador Pedro Morganti, 3500 – Bairro Monte Alegre, Zip Code: 13415-000, Piracicaba, SP, Brazil
推荐引用方式 GB/T 7714	de Araujo M.J.,de Paula R.C.,Campoe O.C.,et al. Adaptability and stability of eucalypt clones at different ages across environmental gradients in Brazil[J],2019,454.
APA	de Araujo M.J.,de Paula R.C.,Campoe O.C.,&Carneiro R.L..(2019).Adaptability and stability of eucalypt clones at different ages across environmental gradients in Brazil.Forest Ecology and Management,454.
MLA	de Araujo M.J.,et al."Adaptability and stability of eucalypt clones at different ages across environmental gradients in Brazil".Forest Ecology and Management 454(2019).