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| 19. |  | RIBEIRO, C. A. A. S.; SOARES, V. P.; MARTINS, S. V.; SOUZA, A. L. Manejo sustentavel de reflorestamentos mistos. Serie Tecnica IPEF, Piracicaba, v. 14, n. 34, p. 184-185, jul. 2001. Edicao da Memoria do Simposio Ibero-Americano de Gestao e Economia Florestal, 1., 2001, Porto Seguro. Resumo.| Biblioteca(s): Embrapa Florestas. |
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| 20. | | NASCIMENTO, M. C. do; SOARES, V. P.; RIBEIRO, C. A. A. S.; SILVA, E. Uso do geoprocessamento na identificação de conflito de uso da terra em áreas de preservação permanente na bacia hidrográfica do Rio Alegre, Espírito Santo. Ciência Florestal, Santa Maria, v. 15, n. 1/2, p. 207-220, mar. 2005.| Biblioteca(s): Embrapa Florestas. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
19/12/2017 |
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Data da última atualização: |
23/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MARCATTI, G. E.; RESENDE, R. T.; RESENDE, M. D. V. de; RIBEIRO, C. A. A. S.; SANTOS, A. R. dos; CRUZ, J. P. da; LEITE, H. G. |
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Afiliação: |
GUSTAVO E. MARCATTI, UNIVERSIDADE FEDERAL DE SÃO JOÃO DEL-REI; RAFAEL T. RESENDE, UNIVERSIDADE FEDERAL DE VIÇOSA; MARCOS DEON VILELA DE RESENDE, CNPF; CARLOS ANTONIO A. S. RIBEIRO, UNIVERSIDADE FEDERAL DE VIÇOSA; ALEXANDRE R. DOS SANTOS, UNIVERSIDADE FEDERAL DO ESPIRITO SANTO; JOVANE P. DA CRUZ, UNIVERSIDADE FEDERAL DE VIÇOSA; HELIO G. LEITE, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 392, p. 144-153, 2017. |
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DOI: |
http://dx.doi.org/10.1016/j.foreco.2017.03.006 |
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Idioma: |
Português |
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Conteúdo: |
The study of the genotype 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 km2 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 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. MenosThe study of the genotype 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 km2 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 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 s... Mostrar Tudo |
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Thesaurus NAL: |
Breeding. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02887naa a2200217 a 4500
001 2082898
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024 7 $ahttp://dx.doi.org/10.1016/j.foreco.2017.03.006$2DOI
100 1 $aMARCATTI, G. E.
245 $aGIS-based approach applied to optimizing recommendations of Eucalyptus genotypes.$h[electronic resource]
260 $c2017
520 $aThe study of the genotype 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 km2 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 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.
650 $aBreeding
700 1 $aRESENDE, R. T.
700 1 $aRESENDE, M. D. V. de
700 1 $aRIBEIRO, C. A. A. S.
700 1 $aSANTOS, A. R. dos
700 1 $aCRUZ, J. P. da
700 1 $aLEITE, H. G.
773 $tForest Ecology and Management$gv. 392, p. 144-153, 2017.
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