ESTUDIO SOBRE PRONÓSTICOS DE RENDIMIENTO DE COSECHA EN ARROZ DE SECANO USANDO TÉCNICAS DE REGRESIÓN MULTIPLE.

Florentino Vega; Rolando Lasso-G.

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Authors

Florentino Vega Agricultural Research Institute of Panama.
Rolando Lasso-G. Agricultural Research Institute of Panama.

Keywords:

Abstract

A mathematical model was developed to foretell yield by mean of regression calculation using as independent variables the final hight of the plant, lenght and weight of panicle, effective bud and percentage of empty grains. The regression model where all variables under study were included was the one with greater adjustement nevertheless, in some cases it can be used only for effective bud and lenght of panicle, with a high probability of finding good predictions.