Evaluating crop models to assess rice yield potential in Argentina

Autor: Lorenzo Dalcin Meus, Cesar Eugenio Quintero, Giovana Ghisleni Ribas, Michel Rocha da Silva, Nereu Augusto Streck, Cleber Maus Alberto, María de los Ángeles Alejandra Zamero, Alencar Junior Zanon
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Crop and Environment, Vol 1, Iss 3, Pp 182-188 (2022)
Druh dokumentu: article
ISSN: 2773-126X
DOI: 10.1016/j.crope.2022.08.002
Popis: Due to the high concentration of the rice production in Asia, the study and comprehension of rice producing chains outside this continent are key to guarantee the global food security. The objectives of this study were to validate the SimulArroz and ORYZA v3 crop simulation models for rice production in Argentina, estimate the yield potential (Yp) for different sowing dates with both models, and estimate how much Argentina can increase rice production in the current agricultural area by reducing the yield gap. Two contrasting rice models (ORYZA v3 and SimulArroz) were used. Besides both are mechanistic models, Simularroz model requires fewer coefficients than ORYZA v3,. which may increase the systematic error. The coefficient of determination between simulated and measured values was at least 0.74 for grain yield and 0.97 for phenology. RMSEn values for phenology ranged from 5.7% to 9.4%. Both models simulated grain yield accurately at high yield levels (>13 ​Mg ​ha−1) with an RMSE
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