Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/926650
Título: Dry matter production of Tanzania grass as a function of agrometeorological variables.
Autoria: PEZZOPANE, J. R. M.
SANTOS, P. M.
MENDONÇA, F. C.
ARAÚJO, L. C. de
CRUZ, P. G. da
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.
Ano de publicação: 2012
Referência: Pesquisa Agropecuária Brasileira, v. 47, n. 4, p. 471-477, abr. 2012.
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.
Thesagro: Evapotranspiração
Panicum Maximum
NAL Thesaurus: evapotranspiration
Palavras-chave: Índice climático de crescimento
Graus dia
Modelagem
Climatic growth index
Degree days
Modeling
Digital Object Identifier: http://dx.doi.org/10.1590/S0100-204X2012000400001
Tipo do material: Artigo de periódico
Acesso: openAccess
Aparece nas coleções:Artigo em periódico indexado (CPPSE)

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