Dry matter production of Tanzania grass as a function of agrometeorological variables


Autoria(s): Pezzopane, José Ricardo Macedo; Santos, Patricia Menezes; Mendonça, Fernando Campos; Araujo, Leandro Coelho de; Cruz, Pedro Gomes da
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

24/10/2013

24/10/2013

2012

Resumo

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 Sao 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 Sao 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.

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico

Identificador

PESQUISA AGROPECUARIA BRASILEIRA, BRASILIA DF, v. 47, n. 4, supl. 1, Part 2, pp. 471-477, APR, 2012

0100-204X

http://www.producao.usp.br/handle/BDPI/35772

10.1590/S0100-204X2012000400001 

http://dx.doi.org/10.1590/S0100-204X2012000400001 

Idioma(s)

eng

Publicador

EMPRESA BRASIL PESQ AGROPEC

BRASILIA DF

Relação

PESQUISA AGROPECUARIA BRASILEIRA

Direitos

openAccess

Copyright EMPRESA BRASIL PESQ AGROPEC

Palavras-Chave #PANICUM MAXIMUM #CLIMATIC GROWTH INDEX #DEGREE-DAYS #EVAPOTRANSPIRATION #MODELING #CV TANZANIA #PASTURES #PERFORMANCE #GROWTH #AGRICULTURE, MULTIDISCIPLINARY
Tipo

article

original article

publishedVersion