Academic Journals Database
Disseminating quality controlled scientific knowledge

LOGISTIC AND EXPONENTIAL GROWTH MODELS FOR MAIZE BR106 IN THREE PLANTING SEASONS

ADD TO MY LIST
 
Author(s): GUILHERME BASTOS LYRA | JOSÉ LEONALDO DE SOUZA | GUSTAVO BASTOS LYRA | IEDO TEODORO | GILSON MOURA FILHO

Journal: Revista Brasileira de Milho e Sorgo
ISSN 1676-689X

Volume: 7;
Issue: 3;
Start page: 211;
Date: 2008;
Original page

Keywords: Zea mays L. | leaf area index | logistic model | dry matter

ABSTRACT
The determination of growth parameters such as leaf area index and shoot dry matter require destructive methods and plant removal. The adjustment of the growth models allows to evaluate the response of crops to the environment and to the interactions with cultural practices, and also to estimate growth variables. The objective of the present work was to evaluate the adjustment of the logistic model for plant height and dry matter (leaf, stem, ear and total) and the exponential model for leaf area index for BR106 maize variety, in three different planting seasons, using accumulated degreedays or days after emergence as independent variables. Three experiments were carried out in 2000, 2001 and 2002, in Rio Largo - AL. Irrigation was used only in the third experiment, in 2002. The analysis of adjustment of exponential and logistic models showed significant conformations, regardless degree-days or days after emergence variables, showing regression coefficient greater than 0.86 and correlation coefficient of Willmontt higher than 0.93, indicating the feasibility of using these models.
Why do you need a reservation system?      Save time & money - Smart Internet Solutions