An open-source tool for improving on-farm yield forecasting systems

Autor(es)

Tomasella, Javier ; Martins, Minella A. ; Shrestha, Nirman

• Tipo de documento: Artigo Científico
• Fonte: FRONTIERS IN SUSTAINABLE FOOD SYSTEMS; v. 7, p. 11-pg., 2023-07-11.

Resumo

IntroductionThe increased frequency of extreme climate events, many of them of rapid onset, observed in many world regions, demands the development of a crop forecasting system for hazard preparedness based on both intraseasonal and extended climate prediction. This paper presents a Fortran version of the Crop Productivity Model AquaCrop that assesses climate and soil fertility effects on yield gap, which is crucial in crop forecasting systems MethodsFirstly, the Fortran version model - AQF outputs were compared to the latest version of AquaCrop v 6.1. The computational performance of both versions was then compared using a 100-year hypothetical experiment. Then, field experiments combining fertility and water stress on productivity were used to assess AQF model simulation. Finally, we demonstrated the applicability of this software in a crop operational forecast system. ResultsResults revealed that the Fortran version showed statistically similar results to the original version (r(2) > 0.93 and RMSEn < 11%, except in one experiment) and better computational efficiency. Field data indicated that AQF simulations are in close agreement with observation. ConclusionAQF offers a version of the AquaCrop developed for time-consuming applications, such as crop forecast systems and climate change simulations over large areas and explores mitigation and adaptation actions in the face of adverse effects of future climate change. (AU)

• Processo FAPESP: 17/22269-2 - Transição para sustentabilidade e o nexo água-agricultura-energia: explorando uma abordagem integradora com casos de estudo nos biomas Cerrado e Caatinga
• Beneficiário: Jean Pierre Henry Balbaud Ometto
• Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático
• Processo FAPESP: 22/00917-0 - Identificação de indicadores e de tipologias de adaptação e resiliência socioambiental para a construção de visões de futuro
• Beneficiário: Minella Alves Martins
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado