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| 4. |  | MARCANO DE HIGUERA, J.; SÁ, I. P. DE; LANDGRAFF, R. L.; NOGUEIRA, A. R. de A. Determination of Al, Ba, Cd, Cr, Cu, Fe, Sr, and Ti in Sparkler Candles by MIP OES. Food Analytical Methods, p. 317-329, 2021.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 5. | | LANDGRAFF, R. L.; MARCANO DE HIGUERA, J.; SÁ, I. P. DE; NOGUEIRA, A. R. de A. Determinação de Al, Ba, Cd, Cr, Cu, Fe, Sr e Ti em velas do tipo estrela empregando planejamento Box-Behnken. In: JORNADA CIENTÍFICA DA EMBRAPA SÃO CARLOS, 12., 2020, São Carlos, SP. Anais... São Carlos, SP: Embrapa Instrumentação; Embrapa Pecuária Sudeste, 2020. p.52. (Embrapa Instrumentação. Documentos, 71).| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 8. | | COELHO, T. L. S.; SILVA, D. S. N.; SOUZA FILHO, L. B. DE; ROCHA, J. M.; MARCANO DE HIGUERA, J.; SÁ, I. P. DE; GAMELA, R. R.; NOGUEIRA, A. R. de A.; LOPES JÚNIOR, C. A.; VIEIRA, E. C. High enhancement of macro and micronutrients quantification in Cajuína by ICP OES using ultrasound and multivariate analysis. Food Chemistry Advances, v. 2, 2023. 8 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 9. | | SILVA, F. L. F. da; ANDRADE NETO, D. M.; MENEZES, F. L. de; SÁ, I. P. de; MARCANO DE HIGUERA, J.; FECHINE, P. B. A; COSTA, L. S. da; NOGUEIRA, A. R. de A.; LOPES. G. S; MATOS, W. O. Non-chromatographic arsenic speciation analyses in wild shrimp (Farfantepenaeus brasiliensis) using functionalized magnetic iron-nanoparticles. Food Chemistry, v.345, 2021, 128781. 9 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| Registros recuperados : 9 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
|
Data corrente: |
09/08/2011 |
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Data da última atualização: |
09/08/2011 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
HEINEMANN, A. B.; SENTELHAS, P. C. |
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Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; PAULA CESAR SENTELHAS, ESALQ. |
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Título: |
Identification of mega environments in the Brazilian upland rice production area. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 17., 2011, Guarapari. Riscos climáticos e cenários agrícolas futuros: anais. Guarapari: Incaper, 2011. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Inglês |
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Conteúdo: |
The goal of this study explores possibilities to adjust the upland rice regional breeding systems to optimally fit the range of environments they are targeting, based on a historical yield data set of the IBGE. The specific objectives of this study were: to identify and classify environment groups in the Brazilian upland rice (UPR) production area; to validate these environment groups using yield data set from the upland rice multi-trial experiments (MTEs); and to identify the most representative site for each environment group. For that, the historical upland rice yield data from 54 microregions were detrented from the effects of technological advances and adjusted to the reference year, 2006. A matrix was built with the adjusted yield data and submitted to a cluster analysis allowing to identify three different environment groups. These groups were classified as: high favourable environment (HFE); favourable environment (FE); and low favourable environment (LFE). The HFE has as characteristic being less affected by inter-annual rainfall variability than the other two. KEYWORDS: environment classification, cluster analysis, yield. |
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Palavras-Chave: |
Análise de agrupamento; Classificação de ambientes; Yield. |
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Thesagro: |
Análise estatística; Arroz; Oryza sativa; Produtividade. |
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Thesaurus NAL: |
Cluster analysis. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39483/1/cba02.pdf
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|
Marc: |
LEADER 01904nam a2200229 a 4500
001 1897610
005 2011-08-09
008 2011 bl uuuu u00u1 u #d
100 1 $aHEINEMANN, A. B.
245 $aIdentification of mega environments in the Brazilian upland rice production area.
260 $aIn: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 17., 2011, Guarapari. Riscos climáticos e cenários agrícolas futuros: anais. Guarapari: Incaper$c2011
300 $c1 CD-ROM.
520 $aThe goal of this study explores possibilities to adjust the upland rice regional breeding systems to optimally fit the range of environments they are targeting, based on a historical yield data set of the IBGE. The specific objectives of this study were: to identify and classify environment groups in the Brazilian upland rice (UPR) production area; to validate these environment groups using yield data set from the upland rice multi-trial experiments (MTEs); and to identify the most representative site for each environment group. For that, the historical upland rice yield data from 54 microregions were detrented from the effects of technological advances and adjusted to the reference year, 2006. A matrix was built with the adjusted yield data and submitted to a cluster analysis allowing to identify three different environment groups. These groups were classified as: high favourable environment (HFE); favourable environment (FE); and low favourable environment (LFE). The HFE has as characteristic being less affected by inter-annual rainfall variability than the other two. KEYWORDS: environment classification, cluster analysis, yield.
650 $aCluster analysis
650 $aAnálise estatística
650 $aArroz
650 $aOryza sativa
650 $aProdutividade
653 $aAnálise de agrupamento
653 $aClassificação de ambientes
653 $aYield
700 1 $aSENTELHAS, P. C.
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Embrapa Arroz e Feijão (CNPAF) |
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