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DOI10.1016/j.foreco.2018.08.051
Yield pattern of eucalypt clones across tropical Brazil: An approach to clonal grouping
Scolforo H.F.; McTague J.P.; Burkhart H.; Roise J.; Campoe O.; Stape J.L.
发表日期2019
ISSN0378-1127
起始页码30
结束页码39
卷号432
英文摘要The research objective of this paper was to group eleven widely planted eucalypt clones based on their volume yield pattern by assessing how climatic variation impacts their productivity in tropical Brazil. A total of 187 plots evenly distributed across eleven clones and 17 sites (from Paraná to Pará State) were used. Plot measurements were carried out every six months (from 2013 to 2017) to evaluate eucalyptus growth. Since the year of plot establishment differs across the sites, volumes of all the plots and sites were standardized at a common age of 5 years. Clonal grouping analysis was performed based on the common age for volume yields using a new approach, which consisted of three steps: (1) create general groups based on testing of the slope coefficient, which was applied to every clonal-specific regression with volume yield as a function of annual water deficit index (WDI); (2) split each general group using volume yield deviation computations into subgroups of high and low productivity; (3) apply linear mixed effects models for every subgroup in order to confirm the non-existence of statistical difference among the volume yield of the clones. Statistical tests showed satisfactory yield estimates at the common age of 5 years. Clonal grouping revealed the identification of four groups (A: high productivity and non-sensitive to climate variation, B: high productivity and sensitive to climate variation, C: low productivity and sensitive to climate variation, D: low productivity and non-sensitive to climate variation). The volume yield of the Clonal group B was detected to be the most impacted by annual water deficit index variation, followed by clonal groups C, A and D. The findings of the study highlighted the utility of the proposed approach for grouping clones. Group identification and detection of the climatic impact on yield patterns was evaluated as a measure to increase site-specific productivity. © 2018 Elsevier B.V.
英文关键词Annual water deficit index; Mixed effect modeling; Productivity
语种英语
scopus关键词Cloning; Productivity; Tropics; Climate variation; Climatic variation; Group identification; Linear mixed-effects model; Mixed-effect models; Research objectives; Statistical differences; Water deficit index; Forestry; climate change; climate effect; clone; evergreen forest; forestry modeling; forestry production; index method; tropical environment; yield response; Age; Clones; Forestry; Productivity; Sites; Tropics; Volume; Yield; Brazil; Parana [Brazil]; 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/156408
作者单位Department of Forestry and Environmental Resources, North Carolina State University, 2820 Faucette Dr., Campus Box 8001, Zip Code: 27695, Raleigh, NC, United States; Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, 310 W Campus Dr, Campus Box 169, Zip Code: 24061, Blacksburg, VA, United States; Department of Forestry, Agriculture and Biodiversity, Federal University of Santa Catarina, Campus Box 101, Rod. Ulysses Gaboardi, Km 3, Zip Code: 89.520-000, Curitibanos, Santa Catarina, Brazil; Department of Forest Science, State University of São Paulo, Avenida Universitária, n° 3780, Zip Code: 18610-034, Botucatu, São Paulo, Brazil; Department of Forest Science, University of São Paulo, Avenida Pádua Dias, 11, Zip Code: 13418-900, Piracicaba, São Paulo, Brazil
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Scolforo H.F.,McTague J.P.,Burkhart H.,et al. Yield pattern of eucalypt clones across tropical Brazil: An approach to clonal grouping[J],2019,432.
APA Scolforo H.F.,McTague J.P.,Burkhart H.,Roise J.,Campoe O.,&Stape J.L..(2019).Yield pattern of eucalypt clones across tropical Brazil: An approach to clonal grouping.Forest Ecology and Management,432.
MLA Scolforo H.F.,et al."Yield pattern of eucalypt clones across tropical Brazil: An approach to clonal grouping".Forest Ecology and Management 432(2019).
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