GSTDTAP  > 气候变化
DOI10.1016/j.foreco.2017.03.006
GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes
Marcatti, Gustavo E.1; Resende, Rafael T.2; Resende, Marcos Deon V.3,4; Ribeiro, Carlos Antonio A. S.2; dos Santos, Alexandre R.5; da Cruz, Jovane P.2; Leite, Helio G.2
2017-05-15
发表期刊FOREST ECOLOGY AND MANAGEMENT
ISSN0378-1127
EISSN1872-7042
出版年2017
卷号392
文章类型Article
语种英语
国家Brazil
英文摘要

The study of the genotype x environment interaction is a prominent issue, requiring care for recommending improved superior genotypes to certain areas. Experimentally, it is possible to infer that the puzzle of genotype recommendations relies on edaphic and climatic changes over different terrain latitudes and longitudes, and further fluctuates in microenvironments as a result of site variations. Different gene expression is activated or suppressed in accordance with environmental requirements, resulting in phenotypic plasticity of cultivars. The goal of this study was to generate an optimal recommendation of eucalyptus genotypes in a 6846.0 km(2) using climatic and geographical information. For this purpose, we used 24 clones unevenly distributed in 988 plots over the area, with planting ages between 2.5 and 6.5 years. The evaluated trait was production, measured in cubic meters of wood per hectare. Our study area typically has a mid-to-low altitude range (0-390 m), rainfall between 599 and 1749 mm, temperature from 22 to 25 degrees C, and a series of other bioclimatic variables. For statistical analysis, we used the random regression via mixed-effects models (REML/BLUP) combined with logistic growth models. Among the total number of clones, six proved to be the most suitable to maximize volumetric production in the work area. In addition, a change in the recommendation was verified for clones between 2.5 and 6.5 years of age. This study presents an alternate concept of environmental stratification, which to date has been made categorically by evaluating a number of locations. Our study proposes a way to perform quantitative stratum over an entire area, according to the environmental gradient. The optimal selection of genotypes promotes increased wood production without necessarily increasing the planting area, which is extremely desirable because land is a resource that is becoming increasingly scarce. Furthermore, eucalyptus productivity represents an important part of the costs and revenues of the forest enterprise, such that minimal improvements can significantly affect profit margins. The proposed method is easily adapted for use for other crops and domestic animal production. (C) 2017 Elsevier B.V. All rights reserved.


英文关键词Breeding Non-linear mixed model Climatic variables Growth curve Reaction norm Adaptability Stability Resilience
领域气候变化
收录类别SCI-E
WOS记录号WOS:000400201900014
WOS关键词X ENVIRONMENT INTERACTION ; CLIMATE-CHANGE ; SITE PRODUCTIVITY ; HEIGHT GROWTH ; MODEL ; BRAZIL ; PLANTATIONS ; STANDS ; WATER ; HETEROGENEITY
WOS类目Forestry
WOS研究方向Forestry
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/23762
专题气候变化
作者单位1.Univ Fed Sao Joao del Rei, UFSJ CSL, Dept Agr Sci, Km 47,MG424 Rd, BR-35701970 Sete Lagoas, MG, Brazil;
2.Univ Fed Vicosa, UFV, Dept Forestry, Av Peter Henry Rolfs S-N, BR-36570000 Vicosa, MG, Brazil;
3.Brazilian Agr Res Corp EMBRAPA, Km 111,Estr Ribeira, BR-83411000 Colombo, PR, Brazil;
4.Univ Fed Vicosa, UFV, Dept Stat, Av Peter Henry Rolfs S-N, BR-36570000 Vicosa, MG, Brazil;
5.Univ Fed Espirito Santo, UFES, Ctr Agr Sci & Engn, Alto Univ S-N, BR-29500000 Alegre, ES, Brazil
推荐引用方式
GB/T 7714
Marcatti, Gustavo E.,Resende, Rafael T.,Resende, Marcos Deon V.,et al. GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes[J]. FOREST ECOLOGY AND MANAGEMENT,2017,392.
APA Marcatti, Gustavo E..,Resende, Rafael T..,Resende, Marcos Deon V..,Ribeiro, Carlos Antonio A. S..,dos Santos, Alexandre R..,...&Leite, Helio G..(2017).GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes.FOREST ECOLOGY AND MANAGEMENT,392.
MLA Marcatti, Gustavo E.,et al."GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes".FOREST ECOLOGY AND MANAGEMENT 392(2017).
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