评估作物模型以评估阿根廷的水稻产量潜力

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
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引用次数: 0

摘要

由于水稻生产高度集中在亚洲,研究和理解亚洲以外的水稻生产链是保障全球粮食安全的关键。本研究的目的是验证阿根廷水稻生产的SimulArroz和ORYZA v3作物模拟模型,估计两种模型在不同播种日期的产量潜力(Yp),并估计阿根廷在当前农业地区通过缩小产量差距可以增加多少水稻产量。使用了两种对比水稻模型(ORYZA v3和SimulArroz)。此外,两者都是机制模型,Simularroz模型比ORYZA v3需要更少的系数。这可能会增加系统误差。模拟值与实测值之间的决定系数在籽粒产量和物候方面至少为0.74和0.97。物候的RMSEn值为5.7% ~ 9.4%。两种模型均能准确模拟高产水平(13 Mg ha-1)下的粮食产量,RMSE均为0.5 Mg ha-1。通过SimulArroz模型估算的阿根廷亚热带地区灌溉水稻平均Yp为3.8 ~ 15.6 Mg ha - 1, ORYZA v3模型估算的Yp为7.6 ~ 14.3 Mg ha - 1。不同模型间的Yp差异主要是由于计算热和和辐射利用效率的方法不同。在阿根廷,如果稻田缩小可开采的缺口(80%的Yp),稻米产量的增加将是目前稻米总产量的42%,即每年916,091毫克。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating crop models to assess rice yield potential in Argentina

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 <0.5 ​Mg ha-1. The average irrigated rice Yp for subtropical Argentina estimated by the SimulArroz model ranged from 3.8 to 15.6 ​Mg ​ha−1, and from 7.6 to 14.3 ​Mg ​ha−1 in the ORYZA v3. The differences in the Yp between the models were due to different approaches in the calculation of thermal sum and radiation use efficiency. The increase in the rice production in Argentina if the fields close the exploitable gap (80% of the Yp) would be 42% of the current total rice production or 916,091 ​Mg annually.

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