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APSIM next generation mungbean model: A tool for advancing mungbean production
Field Crops Research ( IF 5.8 ) Pub Date : 2023-05-05 , DOI: 10.1016/j.fcr.2023.108955
Heather Pasley, Kylie Wenham, Lindsay Bell, Neil Huth, Dean Holzworth, Apurbo Chaki, Don Gaydon, Marisa Collins

Context

Mungbean, a grain legume with high nutritional value, is grown widely throughout Asia and increasingly in Australia. Despite growing interest amongst farmers, mungbean remains an inconsistent and thus risky crop to plant in Australia. Cropping system models like the Agricultural Production Systems sIMulator (APSIM) are valuable tools for helping farmers to examine options for improving crop management and assess production risks across potential growing regions for mungbean.

Objective

This paper outlines the simulation capacity of a new mungbean crop model parameterized using the Plant Modelling Framework in APSIM Next Generation, the newest version of the APSIM framework. The aim of the paper is to document the parameterization and validation processes of the model.

Methods

The new mungbean model was built using data from 28 field experiments to simulate measured phenology, canopy development, biomass accumulation/partitioning, stress responses, N fixation, root growth, and yield across a wide range of environments.

Results

The root mean squared error (RMSE) in predictions for grain weight and aboveground weight were 25.4 g m−2 and 91.4 g m−2, respectively. The model successfully captured the dynamics of crop response to sowing dates, water/irrigation regimes, and climate.

Conclusions

The new mungbean model is a robust and accurate tool for use in Australia and tropical/sub-tropical Asia.

Implications

Researchers can use the new mungbean model to determine best management practices such as the optimal time to sow mungbeans in different environments. The output from model simulations can help farmers assess risks associated with sowing at different times and soil water conditions specific to their region. Such risk analysis can improve farmer decision-making confidence in mungbean, increasing its potential production for Australia. Overall, the new APSIM mungbean model can be used effectively to identify and close the mungbean yield gap, mitigate risk of crop failure, and increase profits for mungbean farmers in Australia and tropical/sub-tropical Asia; it has the capacity to assist with increasing mungbean production globally under changing climate conditions.



中文翻译:

APSIM 下一代绿豆模型:推进绿豆生产的工具

语境

绿豆是一种具有高营养价值的谷物豆科植物,在亚洲广泛种植,在澳大利亚种植也越来越多。尽管农民的兴趣越来越大,但绿豆在澳大利亚仍然是一种不稳定的作物,因此种植起来有风险。农业生产系统模拟器 (APSIM) 等种植系统模型是帮助农民研究改进作物管理的方案和评估绿豆潜在种植区的生产风险的宝贵工具。

客观的

本文概述了使用 APSIM 框架的最新版本 APSIM Next Generation 中的植物建模框架参数化的新绿豆作物模型的模拟能力。本文的目的是记录模型的参数化和验证过程。

方法

新的绿豆模型是使用 28 个田间试验的数据建立的,以模拟测量的物候、冠层发育、生物量积累/分配、胁迫反应、固氮、根系生长和各种环境下的产量。

结果

预测谷物重量和地上重量的均方根误差 (RMSE) 分别为 25.4 g m -2和 91.4 g m -2 。该模型成功地捕捉到了作物对播种日期、水/灌溉制度和气候的反应动态。

结论

新的绿豆模型是适用于澳大利亚和热带/亚热带亚洲的强大而准确的工具。

启示

研究人员可以使用新的绿豆模型来确定最佳管理实践,例如在不同环境中播种绿豆的最佳时间。模型模拟的输出可以帮助农民评估与不同时间播种和他们所在地区特定的土壤水分条件相关的风险。这种风险分析可以提高农民对绿豆的决策信心,增加其在澳大利亚的潜在产量。总体而言,新的 APSIM 绿豆模型可以有效地用于识别和缩小绿豆产量差距,降低作物歉收的风险,并增加澳大利亚和热带/亚热带亚洲绿豆农民的利润;它有能力在不断变化的气候条件下协助增加全球绿豆产量。

更新日期:2023-05-05
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