Characterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure: I. Vegetative period

Modeling plant growth by mathematical functions is important for understanding plant development and growth. Most of the models of dry matter accumulation in small cereals simulated the period of grain filling while small attention has been devoted to mathematical simulation of vegetative period...

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Main Authors: Pržulj Novo, Momčilović Vojislava
Format: Article
Language:English
Published: Serbian Genetics Society 2011-01-01
Series:Genetika
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0534-0012/2011/0534-00121102349P.pdf
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spelling doaj-bce0d440e3fe46b7873fb174f1abbc1b2020-11-24T23:12:06ZengSerbian Genetics SocietyGenetika0534-00122011-01-0143234935910.2298/GENSR1102349PCharacterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure: I. Vegetative periodPržulj NovoMomčilović VojislavaModeling plant growth by mathematical functions is important for understanding plant development and growth. Most of the models of dry matter accumulation in small cereals simulated the period of grain filling while small attention has been devoted to mathematical simulation of vegetative period till anthesis. The aim of this research was to determine the most appropriate polynomial non-linear regression for dry matter accumulation till anthesis in winter wheat. Pobeda, a medium early variety, was used as model genotype for this research. A 5-year field data were analyzed by the forward procedure of stepwise regression. Although the procedure requires the maximum power of the polynomial regression to be used, we suggest using a lower power since it is easier for understanding and explanation and it is taking into account literature sources and biological laws. It can be accepted that quadratic regression model appropriately fits the process of dry matter accumulation till anthesis in winter wheat.http://www.doiserbia.nb.rs/img/doi/0534-0012/2011/0534-00121102349P.pdfdry matter accumulationmodelstepwise regressionvegetative period
collection DOAJ
language English
format Article
sources DOAJ
author Pržulj Novo
Momčilović Vojislava
spellingShingle Pržulj Novo
Momčilović Vojislava
Characterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure: I. Vegetative period
Genetika
dry matter accumulation
model
stepwise regression
vegetative period
author_facet Pržulj Novo
Momčilović Vojislava
author_sort Pržulj Novo
title Characterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure: I. Vegetative period
title_short Characterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure: I. Vegetative period
title_full Characterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure: I. Vegetative period
title_fullStr Characterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure: I. Vegetative period
title_full_unstemmed Characterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure: I. Vegetative period
title_sort characterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure: i. vegetative period
publisher Serbian Genetics Society
series Genetika
issn 0534-0012
publishDate 2011-01-01
description Modeling plant growth by mathematical functions is important for understanding plant development and growth. Most of the models of dry matter accumulation in small cereals simulated the period of grain filling while small attention has been devoted to mathematical simulation of vegetative period till anthesis. The aim of this research was to determine the most appropriate polynomial non-linear regression for dry matter accumulation till anthesis in winter wheat. Pobeda, a medium early variety, was used as model genotype for this research. A 5-year field data were analyzed by the forward procedure of stepwise regression. Although the procedure requires the maximum power of the polynomial regression to be used, we suggest using a lower power since it is easier for understanding and explanation and it is taking into account literature sources and biological laws. It can be accepted that quadratic regression model appropriately fits the process of dry matter accumulation till anthesis in winter wheat.
topic dry matter accumulation
model
stepwise regression
vegetative period
url http://www.doiserbia.nb.rs/img/doi/0534-0012/2011/0534-00121102349P.pdf
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