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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Unidades Centrais. |
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Data corrente: |
19/06/2012 |
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Data da última atualização: |
16/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEZZOPANE, J. R. M.; SANTOS, P. M.; MENDONÇA, F. C.; ARAÚJO, L. C. de; CRUZ, P. G. da. |
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Afiliação: |
JOSE RICARDO MACEDO PEZZOPANE, CPPSE; PATRICIA MENEZES SANTOS, CPPSE; FERNANDO CAMPOS MENDONÇA, PROF. USP/ESALQ/PIRACICABA; LEANDRO COELHO DE ARAÚJO, DOUTORADO USP/ESALQ/PIRACICABA; PEDRO GOMES DA CRUZ, USP/ESALQ/PIRACICABA. |
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Título: |
Dry matter production of Tanzania grass as a function of agrometeorological variables. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 47, n. 4, p. 471-477, abr. 2012. |
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DOI: |
http://dx.doi.org/10.1590/S0100-204X2012000400001 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
The objective of this work was to develop and validate linear regression models to estimate the production of dry matter by Tanzania grass (Megathyrsus maximus, cultivar Tanzania) as a function of agrometeorological variables. For this purpose, data on the growth of this forage grass from 2000 to 2005, under dry?field conditions in São Carlos, SP, Brazil, were correlated to the following climatic parameters: minimum and mean temperatures, degree?days, and potential and actual evapotranspiration. Simple linear regressions were performed between agrometeorological variables (independent) and the dry matter accumulation rate (dependent). The estimates were validated with independent data obtained in São Carlos and Piracicaba, SP, Brazil. The best statistical results in the development and validation of the models were obtained with the agrometeorological parameters that consider thermal and water availability effects together, such as actual evapotranspiration, accumulation of degree-days corrected by water availability, and the climatic growth index, based on average temperature, solar radiation, and water availability. These variables can be used in simulations and models to predict the production of Tanzania grass. |
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Palavras-Chave: |
Climatic growth index; Degree days; Graus dia; Graus-dia; Índice climático de crescimento; Modelagem; Modeling. |
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Thesagro: |
Evapotranspiração; Panicum maximum. |
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Thesaurus Nal: |
Evapotranspiration; Heat sums; Megathyrsus maximus; Models. |
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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/61130/1/PROCI-2012.00061.pdf
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Marc: |
LEADER 02228naa a2200337 a 4500
001 1926650
005 2023-02-16
008 2012 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/S0100-204X2012000400001$2DOI
100 1 $aPEZZOPANE, J. R. M.
245 $aDry matter production of Tanzania grass as a function of agrometeorological variables.
260 $c2012
520 $aThe objective of this work was to develop and validate linear regression models to estimate the production of dry matter by Tanzania grass (Megathyrsus maximus, cultivar Tanzania) as a function of agrometeorological variables. For this purpose, data on the growth of this forage grass from 2000 to 2005, under dry?field conditions in São Carlos, SP, Brazil, were correlated to the following climatic parameters: minimum and mean temperatures, degree?days, and potential and actual evapotranspiration. Simple linear regressions were performed between agrometeorological variables (independent) and the dry matter accumulation rate (dependent). The estimates were validated with independent data obtained in São Carlos and Piracicaba, SP, Brazil. The best statistical results in the development and validation of the models were obtained with the agrometeorological parameters that consider thermal and water availability effects together, such as actual evapotranspiration, accumulation of degree-days corrected by water availability, and the climatic growth index, based on average temperature, solar radiation, and water availability. These variables can be used in simulations and models to predict the production of Tanzania grass.
650 $aEvapotranspiration
650 $aHeat sums
650 $aMegathyrsus maximus
650 $aModels
650 $aEvapotranspiração
650 $aPanicum maximum
653 $aClimatic growth index
653 $aDegree days
653 $aGraus dia
653 $aGraus-dia
653 $aÍndice climático de crescimento
653 $aModelagem
653 $aModeling
700 1 $aSANTOS, P. M.
700 1 $aMENDONÇA, F. C.
700 1 $aARAÚJO, L. C. de
700 1 $aCRUZ, P. G. da
773 $tPesquisa Agropecuária Brasileira$gv. 47, n. 4, p. 471-477, abr. 2012.
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Embrapa Pecuária Sudeste (CPPSE) |
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