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Registro Completo |
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
09/08/2011 |
Data da última atualização: |
09/08/2011 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
HEINEMANN, A. B.; SENTELHAS, P. C. |
Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; PAULA CESAR SENTELHAS, ESALQ. |
Título: |
Identification of mega environments in the Brazilian upland rice production area. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 17., 2011, Guarapari. Riscos climáticos e cenários agrícolas futuros: anais. Guarapari: Incaper, 2011. |
Descrição Física: |
1 CD-ROM. |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Análise de agrupamento; Classificação de ambientes; Yield. |
Thesagro: |
Análise estatística; Arroz; Oryza sativa; Produtividade. |
Thesaurus Nal: |
Cluster analysis. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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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Registros recuperados : 319 | |
12. | | HEINEMANN, A. B. Optimization of upland rice breeding programme based on a crop modelling approach. In: CONFERENCE ON INTEGRATED ASSESSMENT OF AGRICULTURE AND SUSTAINABLE DEVELOPMENT: SETTING THE AGENDA FOR SCIENCE AND POLICY, 2009, Egmond aan Zee, The Netherlands. Proceedings... Wageningen: Wageningen University and Research Centre, 2009. p. 214-215. AgSAP 2009. Editors: Martin van Ittersum; Joost Wolf; Gon van Laar.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Arroz e Feijão. |
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Registros recuperados : 319 | |
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