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Estimating Seasonal Nitrogen Removal and Biomass Yield by Annuals with the Extended Logistic Model

The Extended Logistic Model (ELM) has been previously shown to adequately describe seasonal biomass production and N removal with respect to applied N for several types of annuals and perennials. In this analysis, data from a corn (Zea mays L.) study with variable applied N were analyzed to test hyp...

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Detalles Bibliográficos
Autores principales: Scholtz, Richard V., Overman, Allen R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3995932/
https://www.ncbi.nlm.nih.gov/pubmed/24755574
http://dx.doi.org/10.1371/journal.pone.0095934
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author Scholtz, Richard V.
Overman, Allen R.
author_facet Scholtz, Richard V.
Overman, Allen R.
author_sort Scholtz, Richard V.
collection PubMed
description The Extended Logistic Model (ELM) has been previously shown to adequately describe seasonal biomass production and N removal with respect to applied N for several types of annuals and perennials. In this analysis, data from a corn (Zea mays L.) study with variable applied N were analyzed to test hypotheses that certain parameters in the ELM are invariant with respect to site specific attributes, like environmental conditions and soil type. Invariance to environmental conditions suggests such parameters may be functions of the crop characteristics and certain other management practices alone (like plant population, planting date, harvest date). The first parameter analyzed was Δb, the difference between the N uptake shifting parameter and the biomass shifting parameter. The second parameter tested was N(cm), the maximum N concentration. Both parameters were shown to be statistically invariant, despite soil and site differences. This was determined using analysis of variance with normalized nonlinear regression of the ELM on the data from the study. This analysis lends further evidence that there are common parameters involved in the ELM that do not rely on site-specific or situation-specific factors. More insight into the derivation of, definition of, and logic behind the various parameters involved in the model are also given in this paper.
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spelling pubmed-39959322014-04-25 Estimating Seasonal Nitrogen Removal and Biomass Yield by Annuals with the Extended Logistic Model Scholtz, Richard V. Overman, Allen R. PLoS One Research Article The Extended Logistic Model (ELM) has been previously shown to adequately describe seasonal biomass production and N removal with respect to applied N for several types of annuals and perennials. In this analysis, data from a corn (Zea mays L.) study with variable applied N were analyzed to test hypotheses that certain parameters in the ELM are invariant with respect to site specific attributes, like environmental conditions and soil type. Invariance to environmental conditions suggests such parameters may be functions of the crop characteristics and certain other management practices alone (like plant population, planting date, harvest date). The first parameter analyzed was Δb, the difference between the N uptake shifting parameter and the biomass shifting parameter. The second parameter tested was N(cm), the maximum N concentration. Both parameters were shown to be statistically invariant, despite soil and site differences. This was determined using analysis of variance with normalized nonlinear regression of the ELM on the data from the study. This analysis lends further evidence that there are common parameters involved in the ELM that do not rely on site-specific or situation-specific factors. More insight into the derivation of, definition of, and logic behind the various parameters involved in the model are also given in this paper. Public Library of Science 2014-04-22 /pmc/articles/PMC3995932/ /pubmed/24755574 http://dx.doi.org/10.1371/journal.pone.0095934 Text en © 2014 Scholtz, Overman http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Scholtz, Richard V.
Overman, Allen R.
Estimating Seasonal Nitrogen Removal and Biomass Yield by Annuals with the Extended Logistic Model
title Estimating Seasonal Nitrogen Removal and Biomass Yield by Annuals with the Extended Logistic Model
title_full Estimating Seasonal Nitrogen Removal and Biomass Yield by Annuals with the Extended Logistic Model
title_fullStr Estimating Seasonal Nitrogen Removal and Biomass Yield by Annuals with the Extended Logistic Model
title_full_unstemmed Estimating Seasonal Nitrogen Removal and Biomass Yield by Annuals with the Extended Logistic Model
title_short Estimating Seasonal Nitrogen Removal and Biomass Yield by Annuals with the Extended Logistic Model
title_sort estimating seasonal nitrogen removal and biomass yield by annuals with the extended logistic model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3995932/
https://www.ncbi.nlm.nih.gov/pubmed/24755574
http://dx.doi.org/10.1371/journal.pone.0095934
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