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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
03/05/2012 |
Data da última atualização: |
09/01/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FRITZSONS, E.; AGUIAR, A. V. de; GRABIAS, J.; FREITAS, M. L. M. de; WREGE, M. S.; MANTOVANI, L. E. |
Afiliação: |
ELENICE FRITZSONS, CNPF; ANANDA VIRGINIA DE AGUIAR, CNPF; JENIFFER GRABIAS, UFPR; MIGUEL LUIZ MENEZES DE FREITAS, Instituto Florestal de São Paulo; MARCOS SILVEIRA WREGE, CNPF; LUIS EDUARDO MANTOVANI, UFPR. |
Título: |
Zoneamento climático para plantio experimental de Pinus maximinoi no Estado de São Paulo. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Pesquisa Florestal Brasileira, Colombo, v. 32, n. 69, p. 79-92, jan./mar. 2012. |
DOI: |
10.4336/2012.pfb.32.69.79 |
Idioma: |
Português |
Conteúdo: |
A grande diversidade climática do Estado de São Paulo exerce influênciana adaptação das espécies e na produtividade das plantações florestais e, por isto, os locais para plantio e experimentação florestal devem ser cuidadosamente escolhidos. O objetivo deste trabalho foi identificar as estações experimentais climaticamente homogêneas do Instituto Florestal de São Paulo para subsidiar o planejamento da implantação de experimentos de Pinus maximinoi. Foram selecionadas 30 áreas experimentais e os dados climáticos referentes a cada estação experimental foram organizados em planilhas, submetidos à análise de agrupamento e os resultados interpretados a partir da visualização dos dendrogramas. As exigências climáticas das espécies foram verificadas em literatura científica e nos resultados de plantios experimentais. As áreas preferenciais para o plantio concentram-se em torno do município de Angatuba (Buri, Pirajú, Itapeva, Avaré, Itapetininga e Itararé), de clima Cwa. As áreas de Bebedouro, São José do Rio Preto e Ilha Solteira não são recomendadas ao plantio devido ao clima quente e deficiência hídrica no inverno. Tampouco Campos do Jordão é recomendada, devido às frequentes geadas. Para as localidades intermediárias poderiam ser identificados genótipos adaptados a cada região, de acordo com suas particularidades climáticas. |
Palavras-Chave: |
Análise de agrupamento; Melhoramento florestal. |
Thesaurus Nal: |
Pinus. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/58671/1/304-2830-2-PB.pdf
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Marc: |
LEADER 02114naa a2200229 a 4500 001 1923665 005 2015-01-09 008 2012 bl uuuu u00u1 u #d 024 7 $a10.4336/2012.pfb.32.69.79$2DOI 100 1 $aFRITZSONS, E. 245 $aZoneamento climático para plantio experimental de Pinus maximinoi no Estado de São Paulo.$h[electronic resource] 260 $c2012 520 $aA grande diversidade climática do Estado de São Paulo exerce influênciana adaptação das espécies e na produtividade das plantações florestais e, por isto, os locais para plantio e experimentação florestal devem ser cuidadosamente escolhidos. O objetivo deste trabalho foi identificar as estações experimentais climaticamente homogêneas do Instituto Florestal de São Paulo para subsidiar o planejamento da implantação de experimentos de Pinus maximinoi. Foram selecionadas 30 áreas experimentais e os dados climáticos referentes a cada estação experimental foram organizados em planilhas, submetidos à análise de agrupamento e os resultados interpretados a partir da visualização dos dendrogramas. As exigências climáticas das espécies foram verificadas em literatura científica e nos resultados de plantios experimentais. As áreas preferenciais para o plantio concentram-se em torno do município de Angatuba (Buri, Pirajú, Itapeva, Avaré, Itapetininga e Itararé), de clima Cwa. As áreas de Bebedouro, São José do Rio Preto e Ilha Solteira não são recomendadas ao plantio devido ao clima quente e deficiência hídrica no inverno. Tampouco Campos do Jordão é recomendada, devido às frequentes geadas. Para as localidades intermediárias poderiam ser identificados genótipos adaptados a cada região, de acordo com suas particularidades climáticas. 650 $aPinus 653 $aAnálise de agrupamento 653 $aMelhoramento florestal 700 1 $aAGUIAR, A. V. de 700 1 $aGRABIAS, J. 700 1 $aFREITAS, M. L. M. de 700 1 $aWREGE, M. S. 700 1 $aMANTOVANI, L. E. 773 $tPesquisa Florestal Brasileira, Colombo$gv. 32, n. 69, p. 79-92, jan./mar. 2012.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
27/10/2021 |
Data da última atualização: |
10/04/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 5 |
Autoria: |
RIBEIRO, P. C. O.; SALVADOR, F. V.; OLIVEIRA, I. C. M.; MENEZES, C. B. de. |
Afiliação: |
PEDRO CÉSAR OLIVEIRA RIBEIRO, UNIVERSIDADE FEDERAL DE VIÇOSA; FELIPE VICENTINO SALVADOR, UNIVERSIDADE FEDERAL DE VIÇOSA; ISADORA CRISTINA MARTINS OLIVEIRA; CICERO BESERRA DE MENEZES, CNPMS. |
Título: |
Factor analysis and environmental stratification in the assessment of grain sorghum adaptability and stability. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Agronomy Science and Biotechnology, v. 7, r134, p. 1-8, 2021. |
DOI: |
https://doi.org/10.33158/ASB.r134.v7.2021 |
Idioma: |
Inglês |
Conteúdo: |
The environmental stratification studies are crucial when releasing hybrids for different growing regions. An outstanding performance of a genotype in one environment does not qualify it for indication to all environments, due the occurrence of GxE interaction. Environmental stratification aim the breeders to form groups of environments that minimize GxE interaction. The purpose of this work was to evaluate the use of factor analysis in preliminary environmental stratification assisting at the recommendation of grain sorghum cultivars. Twenty-five hybrids were evaluated, using a randomized block design, in 12 locations during the 2015/16 season. Initially, the individual analysis of the experiments was carried out and later the joint analysis, aiming to examine the existence of G×E interaction. The means of the hybrids in the individual analyses were used to obtain the correlation matrix between pairs of environments. The factorization of this matrix was also carried out via factor analysis in order to group together the environments that most correlated with respect to the hybrids performance. Thus, differential performance between hybrids was observed through individual analyses for all the environments, with the exception of Sete Lagoas and Teresina. The joint analysis revealed the existence of a significant G×E interaction, that is, a differential behavior of the hybrids in relation to the evaluated environments. Based on the criterion of the analysis of the proportion of explained variance, it was found that six factors captured an accumulated variation of 86.29%, and the average communality observed was of 0.86. Considering the geographic and edaphoclimatic variables in the cultivation period, a pattern was not observed among the grouped places, but it is noteworthy that the grouping of places is a function of the performance of the evaluated genotypes, which can be similar even under different conditions. Given the results presented, factor analysis proved to be a tool with potential to perform environmental stratification and assist in the recommendation of grain sorghum cultivars for different regions. MenosThe environmental stratification studies are crucial when releasing hybrids for different growing regions. An outstanding performance of a genotype in one environment does not qualify it for indication to all environments, due the occurrence of GxE interaction. Environmental stratification aim the breeders to form groups of environments that minimize GxE interaction. The purpose of this work was to evaluate the use of factor analysis in preliminary environmental stratification assisting at the recommendation of grain sorghum cultivars. Twenty-five hybrids were evaluated, using a randomized block design, in 12 locations during the 2015/16 season. Initially, the individual analysis of the experiments was carried out and later the joint analysis, aiming to examine the existence of G×E interaction. The means of the hybrids in the individual analyses were used to obtain the correlation matrix between pairs of environments. The factorization of this matrix was also carried out via factor analysis in order to group together the environments that most correlated with respect to the hybrids performance. Thus, differential performance between hybrids was observed through individual analyses for all the environments, with the exception of Sete Lagoas and Teresina. The joint analysis revealed the existence of a significant G×E interaction, that is, a differential behavior of the hybrids in relation to the evaluated environments. Based on the criterion of the analysis of the proportion o... Mostrar Tudo |
Thesagro: |
Alimento; Farinha; Ração; Sorghum Bicolor. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227224/1/Factor-analysis.pdf
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Marc: |
LEADER 02842naa a2200217 a 4500 001 2135596 005 2024-04-10 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.33158/ASB.r134.v7.2021$2DOI 100 1 $aRIBEIRO, P. C. O. 245 $aFactor analysis and environmental stratification in the assessment of grain sorghum adaptability and stability.$h[electronic resource] 260 $c2021 520 $aThe environmental stratification studies are crucial when releasing hybrids for different growing regions. An outstanding performance of a genotype in one environment does not qualify it for indication to all environments, due the occurrence of GxE interaction. Environmental stratification aim the breeders to form groups of environments that minimize GxE interaction. The purpose of this work was to evaluate the use of factor analysis in preliminary environmental stratification assisting at the recommendation of grain sorghum cultivars. Twenty-five hybrids were evaluated, using a randomized block design, in 12 locations during the 2015/16 season. Initially, the individual analysis of the experiments was carried out and later the joint analysis, aiming to examine the existence of G×E interaction. The means of the hybrids in the individual analyses were used to obtain the correlation matrix between pairs of environments. The factorization of this matrix was also carried out via factor analysis in order to group together the environments that most correlated with respect to the hybrids performance. Thus, differential performance between hybrids was observed through individual analyses for all the environments, with the exception of Sete Lagoas and Teresina. The joint analysis revealed the existence of a significant G×E interaction, that is, a differential behavior of the hybrids in relation to the evaluated environments. Based on the criterion of the analysis of the proportion of explained variance, it was found that six factors captured an accumulated variation of 86.29%, and the average communality observed was of 0.86. Considering the geographic and edaphoclimatic variables in the cultivation period, a pattern was not observed among the grouped places, but it is noteworthy that the grouping of places is a function of the performance of the evaluated genotypes, which can be similar even under different conditions. Given the results presented, factor analysis proved to be a tool with potential to perform environmental stratification and assist in the recommendation of grain sorghum cultivars for different regions. 650 $aAlimento 650 $aFarinha 650 $aRação 650 $aSorghum Bicolor 700 1 $aSALVADOR, F. V. 700 1 $aOLIVEIRA, I. C. M. 700 1 $aMENEZES, C. B. de 773 $tAgronomy Science and Biotechnology$gv. 7, r134, p. 1-8, 2021.
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Embrapa Milho e Sorgo (CNPMS) |
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