Potential of a population of Eucalyptus benthamii based on growth and technological characteristics of wood

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作者
Alexandre Gomes Ferraz
Cosme Damião Cruz
Glêison Augusto dos Santos
Moysés Nascimento
Talita Baldin
Osmarino Pires dos Santos
Brígida Maria dos Reis Teixeira Valente
Carlos Eduardo Magalhães dos Santos
机构
[1] Federal University of Viçosa,Department of General Biology
[2] Federal University of Viçosa,Department of Forest Engineering
[3] Federal University of Viçosa,Department of Statistics
[4] Federal University of Minas Gerais,Institute of Agricultural Sciences
[5] CMPC - Celulose Riograndense,Department of Agronomy
[6] Federal University of Viçosa,undefined
来源
Euphytica | 2020年 / 216卷
关键词
Network of correlations; Population potential; Multivariate analysis; Wood quality;
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摘要
The study of the potential of a plant population makes the selection of a breeding program more efficient, allowing satisfactory genetic gains and identifying the potential of this population, among others, for advances in generations. The genetic potential of Eucalyptus benthamii is still poorly studied. This species has relevant characteristics for increasing productivity, frost tolerance and, mainly, the quality of wood, with an emphasis on cellulose production. The goal of this study was to evaluate the potential of a sample of Eucalyptus individuals for suitability of use, based on technological characteristics and wood growth through uni, bi, and multivariate techniques. The genetic material sampled comes from a test of progenies of E. benthamii, 4 years old from the company CMPC Celulose Riograndense. The sample consisted of 75 individuals of E. benthamii and three individuals of three other species that were used as controls (E. saligna, E. grandis and E. dunnii), totaling 87 individuals, chosen by industrial criteria. The population of E. benthamii under study has good potential to be explored through selective techniques in view of the witnesses used, considering the descriptive statistics, the association of characteristics and analysis of factors. Also, enabling the selection of superior materials within this sampling.
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