Modelos não lineares para descrição do acúmulo de macronutrientes fósforo e potássio no cultivar feijoeiro jalo

Abstract

Common beans have socioeconomic importance and are one of the most important sources of protein in the Brazilian diet. The modeling of bean growth patterns involves adjusting nonlinear

regression models to estimate the causes that contribute to the development process. The objec- tive of this work was to analyze growth curves of dry matter accumulations of macronutrients

potassium (K) and phosphorus (P) in five different sowing densities, for common bean culti- var Jalo, through the use of adjustment of the non-linear Logistic and Gompertz as a function

of plant evaluation ages in the no-tillage system. The analyzed data were taken from Vieira (2006), from an experiment carried out at the Federal University of Lavras, during the water harvest period in the years 2006/2007 in the no-tillage system. A completely randomized block design was used, containing three replications ; the treatments were arranged in a 5x7 factorial

scheme, containing five sowing densities (75, 145, 215, 285 and 355 thousand plants per hec- tare) and seven evaluation periods (10, 20, 30, 40, 50, 60 and 70 days after emergency). The

accumulation of phosphorus and potassium in common bean cv Jalo was analyzed. The use of transformation by aligned posts (ART) ensures the presence of normality, homogeneity and

independence of errors. The non-linear Logistic and Gompertz models are suitable for descri- bing the accumulation of phosphorus and potassium in common bean cv Jalo, with the Logistic

model showing better fit properties.