• JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
 
  Bookmark and Share
 
 
Doctoral Thesis
DOI
https://doi.org/10.11606/T.11.2002.tde-16092002-140818
Document
Author
Full name
Axel Garcia y Garcia
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
Piracicaba, 2002
Supervisor
Committee
Dourado Neto, Durval (President)
Christoffoleti, Pedro Jacob
Costa, Luiz Claudio da
Farias, Jose Renato Bouças
Reichardt, Klaus
Title in Portuguese
Modelos para área foliar, fitomassa e extração de nutrientes na cultura de arroz.
Keywords in Portuguese
absorção (fisiologia)
fitotecnia
folhas (plantas)
modelagem matemática
Abstract in Portuguese
O objetivo do trabalho foi propor modelos para estimar índice de área foliar, fitomassa seca e extração de macronutrientes pela cultura de arroz, bem como determinar a época de máxima taxa de extração de N e K. O experimento foi conduzido na várzea do Departamento de Produção Vegetal da ESALQ/USP. O solo foi classificado como Gleissolo Eutrófico, horizonte A chernozênico, textura média a argilosa (FAO -Unesco: Gleysols; USDA: Humic Haplaquept). Foi utilizada a variedade cultivada IAC 103, caracterizada por ser de ciclo médio e de alto rendimento. As variáveis observadas foram o índice de área foliar, a fitomassa seca em diferentes compartimentos da planta (raiz, folha e colmo e panícula) e os teores de macronutrientes por unidade de fitomassa seca. Para estimativa da extração de N, P, K, Ca, Mg e S, levou-se em consideração o teor de macronutrientes na planta e a produção, por unidade de área, de fitomassa seca. Em função dos resultados obtidos, foram propostos modelos cuja base matemática é fundamentada em eventos biológicos que acontecem ao longo do ciclo da cultura. Os modelos propostos apresentaram adequado desempenho para definir ordem de grandeza dos valores de índice de área foliar, fitomassa seca, extração de macronutrientes pela cultura de arroz, bem como para estimar a máxima taxa de absorção de N e K.
Title in English
Models for leaf area, dry matter and nutrient extraction by rice crop.
Keywords in English
absorption (physiology)
leves (plants)
mathematical modeling
Abstract in English
The objective of this study was to propose models to estimate leaf area index, dry matter and uptake macronutrients, and to determinate the maximum N and K uptake rates moment by rice crop. The field experiment was carried out at a wetland area of the Crop Science Department, University of São Paulo, Brazil. The soil is classified as Humic Haplaquept (FAO - UNESCO: Gleysols; Brazil: Gleissolo Eutrófico). The rice variety IAC 103 (middle season cycle and high yield) was used. Observed variables were leaf area index, dry matter from different parts of the plant (root, leaf and stem, and panicle) and macronutrient content. To estimate N, P, K, Ca, Mg and S extraction, the macronutrient content and dry matter were used. As results of this study, phytotechnical models, based on biological events that occurred during the crop cycle, were proposed. These models showed a satisfactory behavior to define the magnitude of estimated leaf area index, dry matter, macronutrient extraction by rice crop and maximum N and K uptake rates.
 
WARNING - Viewing this document is conditioned on your acceptance of the following terms of use:
This document is only for private use for research and teaching activities. Reproduction for commercial use is forbidden. This rights cover the whole data about this document as well as its contents. Any uses or copies of this document in whole or in part must include the author's name.
axel.pdf (1.56 Mbytes)
Publishing Date
2002-10-16
 
WARNING: Learn what derived works are clicking here.
All rights of the thesis/dissertation are from the authors
CeTI-SC/STI
Digital Library of Theses and Dissertations of USP. Copyright © 2001-2024. All rights reserved.