Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/926650
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dc.contributor.authorPEZZOPANE, J. R. M.pt_BR
dc.contributor.authorSANTOS, P. M.pt_BR
dc.contributor.authorMENDONÇA, F. C.pt_BR
dc.contributor.authorARAÚJO, L. C. dept_BR
dc.contributor.authorCRUZ, P. G. dapt_BR
dc.date.accessioned2012-06-19T11:11:11Zpt_BR
dc.date.available2012-06-19T11:11:11Zpt_BR
dc.date.created2012-06-19pt_BR
dc.date.issued2012pt_BR
dc.identifier.citationPesquisa Agropecuária Brasileira, v. 47, n. 4, p. 471-477, abr. 2012.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/926650pt_BR
dc.descriptionThe 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.pt_BR
dc.language.isoengpt_BR
dc.rightsopenAccesspt_BR
dc.subjectÍndice climático de crescimentopt_BR
dc.subjectGraus diapt_BR
dc.subjectModelagempt_BR
dc.subjectClimatic growth indexpt_BR
dc.subjectDegree dayspt_BR
dc.subjectModelingpt_BR
dc.titleDry matter production of Tanzania grass as a function of agrometeorological variables.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2016-02-26T11:11:11Zpt_BR
dc.subject.thesagroEvapotranspiraçãopt_BR
dc.subject.thesagroPanicum Maximumpt_BR
dc.subject.nalthesaurusevapotranspirationpt_BR
riaa.ainfo.id926650pt_BR
riaa.ainfo.lastupdate2016-02-26pt_BR
dc.identifier.doihttp://dx.doi.org/10.1590/S0100-204X2012000400001pt_BR
dc.contributor.institutionJOSE 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.pt_BR
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