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dc.contributor.authorOLIVEIRA, M. P. G. de
dc.contributor.authorCUADRA, S. V.
dc.date.accessioned2026-03-09T16:48:32Z-
dc.date.available2026-03-09T16:48:32Z-
dc.date.created2026-03-09
dc.date.issued2025
dc.identifier.citationIn: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 23., 2025, Porto Alegre. Anais [...]. Campinas: Sociedade Brasileira de Agrometeorologia, 2025. p. 655-661.
dc.identifier.isbn978-65-85111-36-2eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1185201-
dc.descriptionAbstract - 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.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectZoneamento Agrícola de Risco Climático
dc.subjectZarc
dc.subjectModelos de crescimento
dc.subjectAgricultural Climate Risk Zoning
dc.subjectCrop model
dc.titleAnálise de sensibilidade temporal do modelo AgS agrupada por macrorregiões sojícolas.
dc.typeArtigo em anais e proceedings
dc.subject.thesagroGlycine Max
dc.subject.thesagroSoja
dc.subject.nalthesaurusSoybeans
dc.description.notesCBAgro 2025.
riaa.ainfo.id1185201
riaa.ainfo.lastupdate2026-03-09
dc.contributor.institutionMONIQUE PIRES GRAVINA DE OLIVEIRA; SANTIAGO VIANNA CUADRA, CNPTIA.
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