Rice yield variability estimates at different time scales of SPI index
Autor(a) principal: | |
---|---|
Data de Publicação: | 2011 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/9737 |
Resumo: | The objective of this work was to evaluate the accuracy of the drought index SPI (standardized precipitation index), at different time scales, for determining the drought occurrences and for estimate their effects on upland rice adjusted yield in six different microregions in Goiás state, Brazil. Precipitation daily data were used from rain gauge stations located at Uruaçu, Aruanã, Alexânia, Mineiros, Catalão and Itumbiara, in Goiás state, as well as upland rice yield data set for the microregions Porangatu, Rio Vermelho, Entorno de Brasília, Southwest Goiás, Catalão and Meia-Ponte, also located in Goiás state. The temporal time scales used in this study were monthly, quarterly, semiannual and annual. The differences among the SPI temporal scales were evaluated for the number and frequency of drought occurrences, the percentage accuracy of the variation estimate related to the upland rice adjusted yield data, and the deviations between these estimates and the observed yield. Increasing SPI temporal scale makes it possible the identification of persistent drought, and the annual scale (SPI-12) showed the best performance for estimating the variability of upland rice adjusted yield. |
id |
EMBRAPA-4_f5fdfe1f8c353bf2b2a4f42c8eddf5ce |
---|---|
oai_identifier_str |
oai:ojs.seer.sct.embrapa.br:article/9737 |
network_acronym_str |
EMBRAPA-4 |
network_name_str |
Pesquisa Agropecuária Brasileira (Online) |
repository_id_str |
|
spelling |
Rice yield variability estimates at different time scales of SPI indexEstimativa da variação da produtividade do arroz em diferentes escalas temporais do índice SPIupland rice; drought index; yieldarroz de terras altas; índice de seca; produtividadeThe objective of this work was to evaluate the accuracy of the drought index SPI (standardized precipitation index), at different time scales, for determining the drought occurrences and for estimate their effects on upland rice adjusted yield in six different microregions in Goiás state, Brazil. Precipitation daily data were used from rain gauge stations located at Uruaçu, Aruanã, Alexânia, Mineiros, Catalão and Itumbiara, in Goiás state, as well as upland rice yield data set for the microregions Porangatu, Rio Vermelho, Entorno de Brasília, Southwest Goiás, Catalão and Meia-Ponte, also located in Goiás state. The temporal time scales used in this study were monthly, quarterly, semiannual and annual. The differences among the SPI temporal scales were evaluated for the number and frequency of drought occurrences, the percentage accuracy of the variation estimate related to the upland rice adjusted yield data, and the deviations between these estimates and the observed yield. Increasing SPI temporal scale makes it possible the identification of persistent drought, and the annual scale (SPI-12) showed the best performance for estimating the variability of upland rice adjusted yield.O objetivo deste trabalho foi avaliar a acurácia do índice de seca SPI (índice padronizado de precipitação), em diferentes escalas temporais, na determinação da ocorrência de eventos de seca e na estimativa de seus efeitos na produtividade do arroz de terras altas, em seis diferentes microrregiões do Estado de Goiás. Foram utilizados dados diários de precipitação, provenientes de estações pluviométricas localizadas nos municípios de Uruaçu, Aruanã, Alexânia, Mineiros, Catalão e Itumbiara, no Estado de Goiás, como também a série histórica de produtividade do arroz de terras altas para as microrregiões goianas de Porangatu, Rio Vermelho, Entorno de Brasília, Sudoeste de Goiás, Catalão e Meia-Ponte. As escalas temporais utilizadas foram: mensal, trimestral, semestral e anual. As diferenças entre as escalas temporais do SPI foram avaliadas quanto ao número e frequência dos eventos de seca, ao percentual de acerto na estimativa da variação da produtividade ajustada de arroz, e quanto aos desvios entre essas estimativas e a produtividade observada. O aumento na escala temporal do SPI possibilita a identificação de eventos de seca de maior duração, e a escala anual (SPI-12) apresentou o melhor desempenho na estimativa da variação da produtividade ajustada de arroz de terras altas. Termos para indexaPesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraFINEPCNPqFernandes, Diego SimõesHeinemann, Alexandre Bryan2011-06-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/9737Pesquisa Agropecuaria Brasileira; v.46, n.4, abr. 2011; 335-343Pesquisa Agropecuária Brasileira; v.46, n.4, abr. 2011; 335-3431678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/9737/6292https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9737/4977info:eu-repo/semantics/openAccess2014-05-22T18:23:36Zoai:ojs.seer.sct.embrapa.br:article/9737Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-05-22T18:23:36Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Rice yield variability estimates at different time scales of SPI index Estimativa da variação da produtividade do arroz em diferentes escalas temporais do índice SPI |
title |
Rice yield variability estimates at different time scales of SPI index |
spellingShingle |
Rice yield variability estimates at different time scales of SPI index Fernandes, Diego Simões upland rice; drought index; yield arroz de terras altas; índice de seca; produtividade |
title_short |
Rice yield variability estimates at different time scales of SPI index |
title_full |
Rice yield variability estimates at different time scales of SPI index |
title_fullStr |
Rice yield variability estimates at different time scales of SPI index |
title_full_unstemmed |
Rice yield variability estimates at different time scales of SPI index |
title_sort |
Rice yield variability estimates at different time scales of SPI index |
author |
Fernandes, Diego Simões |
author_facet |
Fernandes, Diego Simões Heinemann, Alexandre Bryan |
author_role |
author |
author2 |
Heinemann, Alexandre Bryan |
author2_role |
author |
dc.contributor.none.fl_str_mv |
FINEP CNPq |
dc.contributor.author.fl_str_mv |
Fernandes, Diego Simões Heinemann, Alexandre Bryan |
dc.subject.por.fl_str_mv |
upland rice; drought index; yield arroz de terras altas; índice de seca; produtividade |
topic |
upland rice; drought index; yield arroz de terras altas; índice de seca; produtividade |
description |
The objective of this work was to evaluate the accuracy of the drought index SPI (standardized precipitation index), at different time scales, for determining the drought occurrences and for estimate their effects on upland rice adjusted yield in six different microregions in Goiás state, Brazil. Precipitation daily data were used from rain gauge stations located at Uruaçu, Aruanã, Alexânia, Mineiros, Catalão and Itumbiara, in Goiás state, as well as upland rice yield data set for the microregions Porangatu, Rio Vermelho, Entorno de Brasília, Southwest Goiás, Catalão and Meia-Ponte, also located in Goiás state. The temporal time scales used in this study were monthly, quarterly, semiannual and annual. The differences among the SPI temporal scales were evaluated for the number and frequency of drought occurrences, the percentage accuracy of the variation estimate related to the upland rice adjusted yield data, and the deviations between these estimates and the observed yield. Increasing SPI temporal scale makes it possible the identification of persistent drought, and the annual scale (SPI-12) showed the best performance for estimating the variability of upland rice adjusted yield. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-06-22 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/9737 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/9737 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/9737/6292 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9737/4977 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.46, n.4, abr. 2011; 335-343 Pesquisa Agropecuária Brasileira; v.46, n.4, abr. 2011; 335-343 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
_version_ |
1793416696055201792 |