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APSIM 7.9和APSIM下一代中春大麦模型物候算法的比较分析:以高纬度地区为例

Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes.

作者信息

Kumar Uttam, Morel Julien, Bergkvist Göran, Palosuo Taru, Gustavsson Anne-Maj, Peake Allan, Brown Hamish, Ahmed Mukhtar, Parsons David

机构信息

Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Science, 90183 Umeå, Sweden.

Department of Crop Production and Ecology, Swedish University of Agricultural Science, 705007 Uppsala, Sweden.

出版信息

Plants (Basel). 2021 Feb 26;10(3):443. doi: 10.3390/plants10030443.

DOI:10.3390/plants10030443
PMID:33652737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7996762/
Abstract

Phenology algorithms in crop growth models have inevitable systematic errors and uncertainties. In this study, the phenology simulation algorithms in APSIM classical (APSIM 7.9) and APSIM next generation (APSIM-NG) were compared for spring barley models at high latitudes. Phenological data of twelve spring barley varieties were used for the 2014-2018 cropping seasons from northern Sweden and Finland. A factorial-based calibration approach provided within APSIM-NG was performed to calibrate both models. The models have different mechanisms to simulate days to anthesis. The calibration was performed separately for days to anthesis and physiological maturity, and evaluations for the calibrations were done with independent datasets. The calibration performance for both growth stages of APSIM-NG was better compared to APSIM 7.9. However, in the evaluation, APSIM-NG showed an inclination to overestimate days to physiological maturity. The differences between the models are possibly due to slower thermal time accumulation mechanism, with higher cardinal temperatures in APSIM-NG. For a robust phenology prediction at high latitudes with APSIM-NG, more research on the conception of thermal time computation and implementation is suggested.

摘要

作物生长模型中的物候算法存在不可避免的系统误差和不确定性。在本研究中,对高纬度地区春大麦模型在APSIM经典版(APSIM 7.9)和APSIM下一代版(APSIM-NG)中的物候模拟算法进行了比较。利用瑞典北部和芬兰2014 - 2018种植季的12个春大麦品种的物候数据。采用APSIM-NG中基于因子的校准方法对两个模型进行校准。这些模型在模拟抽穗天数方面具有不同的机制。分别对抽穗天数和生理成熟天数进行校准,并使用独立数据集对校准结果进行评估。与APSIM 7.9相比,APSIM-NG两个生长阶段的校准性能更好。然而,在评估中,APSIM-NG表现出高估生理成熟天数的倾向。模型之间的差异可能是由于热时间累积机制较慢,APSIM-NG中的基点温度较高。为了使用APSIM-NG在高纬度地区进行可靠的物候预测,建议对热时间计算和实施的概念进行更多研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/001c377f23a3/plants-10-00443-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/48c09a1c3755/plants-10-00443-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/ccdf4960d85b/plants-10-00443-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/703bdfca8833/plants-10-00443-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/744171d7b826/plants-10-00443-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/001c377f23a3/plants-10-00443-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/48c09a1c3755/plants-10-00443-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/ccdf4960d85b/plants-10-00443-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/703bdfca8833/plants-10-00443-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/744171d7b826/plants-10-00443-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf8/7996762/001c377f23a3/plants-10-00443-g005a.jpg

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本文引用的文献

1
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2
Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments.作物模型结构、参数和气候预估对气候变化影响评估不确定性的贡献。
Glob Chang Biol. 2018 Mar;24(3):1291-1307. doi: 10.1111/gcb.14019. Epub 2018 Jan 4.
3
Crop-model assisted phenomics and genome-wide association study for climate adaptation of indica rice. 1. Phenology.
气候变化对旱地农业系统的影响:现状、潜力及未来工作需求综述
Int J Plant Prod. 2022;16(3):341-363. doi: 10.1007/s42106-022-00197-1. Epub 2022 May 20.
基于作物模型的表型组学和全基因组关联研究助力籼稻的气候适应性改良。1. 物候学。
J Exp Bot. 2017 Jul 10;68(15):4369-4388. doi: 10.1093/jxb/erx249.
4
Crop-model assisted phenomics and genome-wide association study for climate adaptation of indica rice. 2. Thermal stress and spikelet sterility.基于作物模型的表型组学和全基因组关联研究助力籼稻对气候变化的适应。2. 热胁迫和小穗不育。
J Exp Bot. 2017 Jul 10;68(15):4389-4406. doi: 10.1093/jxb/erx250.
5
Multimodel ensembles of wheat growth: many models are better than one.多模型小麦生长集合:多个模型优于一个。
Glob Chang Biol. 2015 Feb;21(2):911-25. doi: 10.1111/gcb.12768. Epub 2014 Dec 3.
6
Yield-trait performance landscapes: from theory to application in breeding maize for drought tolerance.产量性状表现景观:从理论到在培育耐旱玉米中的应用。
J Exp Bot. 2011 Jan;62(3):855-68. doi: 10.1093/jxb/erq329. Epub 2010 Nov 1.
7
Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops.将 APSIM 模型改编为田间作物复杂适应特性的生理和遗传模型。
J Exp Bot. 2010 May;61(8):2185-202. doi: 10.1093/jxb/erq095. Epub 2010 Apr 16.
8
Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation.作物与气候变化:模拟影响及为适应提供信息方面的进展、趋势与挑战
J Exp Bot. 2009;60(10):2775-89. doi: 10.1093/jxb/erp062. Epub 2009 Mar 16.
9
Simulating the influence of vernalization, photoperiod and optimum temperature on wheat developmental rates.模拟春化作用、光周期和最适温度对小麦发育速率的影响。
Ann Bot. 2008 Oct;102(4):561-9. doi: 10.1093/aob/mcn115. Epub 2008 Jul 15.
10
Crop responses to climatic variation.作物对气候变化的响应。
Philos Trans R Soc Lond B Biol Sci. 2005 Nov 29;360(1463):2021-35. doi: 10.1098/rstb.2005.1752.