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Un algoritmo en el entorno del software R para modelar el rendimiento de materia seca en pastos con fertilización nitrogenada

Authors: Villegas, Danny A.; Universidad Nacional Experimental de los Llanos Occidentales “Ezequiel Zamora”, Barinas; Valbuena, Nora; Universidad Nacional Experimental de los Llanos Occidentales “Ezequiel Zamora”, Barinas; Milla, Manuel E.; Universidad Nacional Toribio Rodríguez de Mendoza, Facultad de Ingeniería Civil y Ambiental Chachapoyas;

Un algoritmo en el entorno del software R para modelar el rendimiento de materia seca en pastos con fertilización nitrogenada

Abstract

El presente trabajo tiene como objetivo modelar el comportamiento productivo de pastos, específicamente Brachiaria brizantha cv. Toledo bajo fertilización nitrogenada mediante la utilización de algoritmos en el entorno de programación del software R, con el fin de estimar la producción de materia seca a diferentes edades de corte. Para lo cual se consideró un modelo no lineal como lo es el logístico. Se evidenció la utilidad del software R en la construcción de bandas de confianza sobre el ajuste de modelos no lineales, específicamente el logístico para la estimación de la producción de materia seca en pastos bajo condiciones de fertilización nitrogenada a diferentes edades de corte. El modelo logístico mostró una alta precisión para explicar los kg MS·ha-1 de B. brizantha cv. Toledo acumulados en función de la edad de corte y de los niveles de fertilización nitrogenada, así como la presencia de un posible punto de inflexión, el cual en la época de lluvia se ubicó alrededor del día 100 y en la época seca alrededor del día 40, asociado a la transición entre una época y otra. Finalmente, los resultados sugieren que la especie forrajera B. brizantha está influenciada por la dosis de fertilización, edad de corte, época del año y las condiciones edafoclimáticas.

Keywords

Environmental sciences, Agriculture (General), cultivos perennes, script, modelos no lineales, GE1-350, Simulación, Simulación; script; cultivos perennes; modelos no lineales, S1-972

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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