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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
19/12/2017 |
Data da última atualização: |
23/01/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Forest Ecology and Management, v. 392, p. 144-153, 2017. |
DOI: |
http://dx.doi.org/10.1016/j.foreco.2017.03.006 |
Idioma: |
Português |
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 |
Thesaurus Nal: |
Breeding. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02887naa a2200217 a 4500 001 2082898 005 2018-01-23 008 2017 bl uuuu u00u1 u #d 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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Embrapa Florestas (CNPF) |
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Registros recuperados : 31 | |
2. | | VIANELLO, R. P.; RESENDE, R. T.; BRONDANI, C. Genômica. In: RESENDE, R. T.; BRONDANI, C. (ed.). Melhoramento de Precisão: aplicações e perspectivas na genética de plantas. Brasília, DF: Embrapa, 2023. Capítulo 10, p. 255-285. il.Tipo: Capítulo em Livro Técnico-Científico |
Biblioteca(s): Embrapa Arroz e Feijão. |
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3. | | RESENDE, R. T.; SILVA JUNIOR, O. B.; GRATTAPAGLIA, D. ENVIROTYPING in forest tree breeding: exploitation of genotype by environment interaction to avoid misallocation of genotypes in field deployment. Pesquisa Florestal Brasileira, Colombo, v. 39, (nesp), e201902043, 2019. p. 313-314. Edição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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11. | | RESENDE, R. T.; RESENDE, M. D. V.; SILVA, F. F.; AZEVEDO, C. F.; TAKAHASHI, E. K.; SILVA JUNIOR, O. B.; GRATTAPAGLIA, D. Assessing the expected response to genomic selection of individuals and families in Eucalyptus breeding with an additive-dominant model. Heredity, v. 119, p. 245-255, 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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12. | | CASTRO, C. A. de O.; NUNES, A. C. P.; SANTOS, O. P. dos; RESENDE, R. T.; SANTOS, G. A. dos; RESENDE, M. D. V. de; CRUZ, C. D. Comportamento da interação genótipos por locais aos três e nove anos em clones de eucalipto. Scientia Forestalis, Piracicaba, v. 46, n. 120, p. 594-605, dez. 2018.Tipo: Artigo em Periódico Indexado |
Biblioteca(s): Embrapa Florestas. |
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13. | | LACERDA, M. P. C.; ALVES, H. M. R.; VIEIRA, T. G. C.; RESENDE, R. T. T. P.; ANDRADE, H.; MACHADO, M. L.; CEREDA, G. J. Caracterização de agroecossistemas cafeeiros de Minas Gerais por meio do spring. Parte II: agroecossistema de machado. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 2., 2001, Vitória. Anais... Brasília, DF: Embrapa Café, 2002.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Café. |
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14. | | LACERDA, M. P. C.; ALVES, H. M. R.; VIEIRA, T. G. C.; MACHADO, M. L.; RESENDE, R. T. T. P.; ANDRADE, H.; CEREDA, G. J. Caracterização de agroecossistemas cafeeiros de Minas Gerais, por meio do SPRING. Parte III: agroecossistema de Patrocínio. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 2., 2001, Vitória. Anais... Brasília, DF: Embrapa Café, 2002.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Café. |
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15. | | 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. GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes. Forest Ecology and Management, v. 392, p. 144-153, 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Florestas. |
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16. | | RESENDE, R. T.; TANNO, P.; SILVA JUNIOR, O. B. da; AGUIAR, A. V. de; SOUSA, V. A. de; SEBBENN, A.; GRATTAPAGLIA, D. Genetic analysis of growth curves of individual trees and country-wide provenances of Araucaria angustifolia shows huge potential for enhanced domestication, breeding and conservation of this iconic Brazilian conifer. Pesquisa Florestal Brasileira, Colombo, v. 39, (nesp), e201902043, 2019. p. 48. Edição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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17. | | PAIVA, J. T.; RESENDE, M. D. V. de; RESENDE, R. T.; OLIVEIRA, H. R.; SILVA, H. T.; CAETANO, G. C.; LOPES, P. S.; SILVA, F. F. Epigenética: mecanismos, herança e implicações no melhoramento animal. Archivos de Zootecnia, v. 68, n. 262, p. 304-311, 2019.Biblioteca(s): Embrapa Florestas. |
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18. | | RESENDE, R. T.; PIEPHO,H.-P.; ROSA, G. J. M.; SILVA JUNIOR, O. B. da; SILVA, F. F. e; RESENDE, M. D. V. de; GRATTAPAGLIA, D. Enviromics in breeding: applications and perspectives on envirotypic-assisted selection. Theoretical and Applied Genetics, v. 134, n. 1, 2021. p. 95-112.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
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19. | | DIAS, J.; MARCONDES, M. I.; NORONHA, M. F.; RESENDE, R. T.; MACHADO, F. S.; MANTOVANI, H. C.; DILL-McFARLAND, K. A.; SUEN, G. Effect of pre-weaning diet on the ruminal archaeal, bacterial, and fungal communities of dairy calves. Frontiers in Microbiology, v. 8, art. 1553, 2017. 17 p.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Gado de Leite. |
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20. | | GRATTAPAGLIA, D.; SILVA JUNIOR, O. B. da; RESENDE, R. T.; CAPPA, E. P.; MÜLLER, B. S. F.; TAN, B.; ISIK, F.; RATCLIFFE, B.; EL-KASSABY, Y. A. Quantitative genetics and genomics converge to accelerate forest tree breeding. Frontiers in Plant Science, v. 9, article 1693, 2018. Na publicação: Orzenil B. Silva-Junior.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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Registros recuperados : 31 | |
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