Abstract

Studies regarding population and plant spatial distribution are essential for understanding yield crop processes. The goal of this work is to report the possibility of applying georeferenced information as tool mainly for agronomic studies, especially for corn production studies, such as interactions between population and plant spatial distribution and concentration of soil nutrients, maintaining the basic principles of statistics. The results show that georeferencing sampling localizations and regression analysis were together efficient, and it is possible to apply it for estimating plant population which provides the highest grain yield; in addition, analyzing the effects of soil nutrient concentrations on the grain yield. Further, the method show itself to be able to estimate the grain yield variation as function of plant population and spatial distribution variations, besides predicting which plant population provides the highest grain yield, according to different environments and genotypes.

Highlights

  • A produção vegetal depende de fatores extrínsecos e intrínsecos à planta

  • Cita-se o ciclo de fixação de CO2, o aparato fotossintético e a arquitetura foliar, entendendo-se como arquitetura foliar as dimensões e ângulo da folha em relação ao plano vertical, os quais são importantes determinantes da população e

  • Embora os efeitos sobre o rendimento de grãos para os teores de fósforo (P, mg.dm-3), potássio (K, mmolc.dm-3), cálcio (Ca, mmolc.dm-3), magnésio (Mg, mmolc.dm-3) e saturação por bases (V, %), não foram significativos, quando combinados à população de plantas normais (População final, Plantas.ha-1), em todos os casos os coeficientes de determinação foram significativos, corroborando a importância da população de plantas sobre o rendimento de grãos na cultura do milho e indicando a necessidade do estudo conjunto dos teores e população de plantas normais

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Summary

Introduction

A produção vegetal depende de fatores extrínsecos e intrínsecos à planta. Como exemplo de extrínsecos, cita-se a disponibilidade de CO2, de água, de nutrientes e de radiação.

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