Título:	Análise de sensibilidade temporal do modelo AgS agrupada por macrorregiões sojícolas.
Autor:	OLIVEIRA, M. P. G. de CUADRA, S. V.
Afiliación:	MONIQUE PIRES GRAVINA DE OLIVEIRA; SANTIAGO VIANNA CUADRA, CNPTIA.
Año:	2025
Referencia:	In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 23., 2025, Porto Alegre. Anais [...]. Campinas: Sociedade Brasileira de Agrometeorologia, 2025. p. 655-661.
Descripción:	Abstract - Sensitivity analysis is a technique used to quantify which factors have the greatest influence on a model's output. A robust evaluation of a crop growth model requires that such analyses account for the factors that may affect the model's responses. Typically, this involves considering the various regions and planting seasons in which the model will be applied. A sensitivity analysis of the species parameters in the AgS model, conducted for the Brazilian soybean-producing macro-regions following the schedule of the Agricultural Zoning for Climate Risk, showed that parameters related to evapotranspiration were more important than those related to temperature across all regions. When there was a discrepancy between the sensitivity indices of one region and those of the others, it was due to evapotranspiration being affected by the available soil water.
Thesagro:	Glycine Max Soja
NAL Thesaurus:	Soybeans
Palabras clave:	Zoneamento Agrícola de Risco Climático Zarc Modelos de crescimento Agricultural Climate Risk Zoning Crop model
ISBN:	978-65-85111-36-2
Notas:	CBAgro 2025.
Tipo de Material:	Artigo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Artigo em anais de congresso (CNPTIA)