Abstract
Using the number of thrips found in the maize seedlings from a longitudinal study, in this work a regression analysis was conducted through polynomial models and nonlinear logistic, under the assumption of homoscedasticity and multiplicative heteroscedasticity of variances. The response variable represents the number of thrips in adult phase observed in an entirely randomized trial involving 4 ground cover systems (tumbled oat, desiccated oat, mowed oat and incorporated oat), 8 replications with portions of 57.6 m 2 and evaluated at 7, 11, 16, 23 and 31 days after the seedlings emergence. The parameters from the adopted models (homoscedastic and heteroscedastic) were estimated by maximizing the logarithm of the verisimilitude function. The adjusted model, via maximum verisimilitude, under the assumption of heteroscedasticity of the variances, did not over estimate the true asymptotic average number of thrips.
Highlights
Maize, a grain which is essential to food for both, human and animal populations, is constantly the target of researches
Garbuio, Alleoni, and Cambri (2006) found that the use of ground cover with black oat increased the concentrations of phosphorus, calcium and magnesium in maize leaves and that maintaining the oat residue on the soil surface contributed to the grain yield
The data used are part of several experiments carried out by the Department of Agronomy, the State University of Maringa (UEM) in the experimental areas installed at the Experimental Farm of Iguatemi (FEI) of UEM
Summary
A grain which is essential to food for both, human and animal populations, is constantly the target of researches. A nonlinear regression model can write the increase of the number of thrips found in a plant, after the seedlings emergence, related to time.
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