Potential Yield of Potato Under Global Warming Based on an ARIMA-TR Model

IF 2.3 3区 农林科学 Q1 AGRONOMY Potato Research Pub Date : 2024-07-06 DOI:10.1007/s11540-024-09745-w
Cai Chengzhi, Wei Sha, Duan Shengnan, Cao Wenfang
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Abstract

As an important food crop in the world, potato has been attracting scholarly attention to improve its yield in the future, particularly under climate change. Therefore, analyzing the potential yield of potato as affected by global warming is of great significance to direct the production of crops worldwide. However, up to now, most research reports estimated the potential yield of potatoes by models which are based on the theory of production functions while there are few theoretical studies on the time-series approach based on stationary stochastic processes. Thus, in this paper, both average and top (national) yields of potato between 2021 and 2030 are projected creatively using an auto-regressive integrated moving average and trend regression (ARIMA-TR) model basing the projection on historic yields from 1961 to 2020 to explore the potential yield of the crop in the future; the effects of global warming on both average and top (national) yields of potato from 1961 to 2020 are analyzed using binary regression models in which global mean temperature is treated as the independent variable and the yield as the dependent variable, to reveal how climatic events drive the variation trend of these two types of yield. Our results show that between 2021 and 2030, the average yield of potato is projected to be from 21,234 to 23,773 kg/ha while the top yield ranges from 50,240 to 51,452 kg/ha; the average will approach from 42.26 to 46.20% of the top, or the gap between these two yields will be gradually narrowed in the ensuing decade; from 1961 to 2020, global warming exerts a positive effect on the average yield of potato with a quadratic function (R-squared = 0.772 and F = 96.417) more than on the top yield with an inverse function (R-squared = 0.568 and F = 76.201), which partly makes the gap between these two types of yields shrink. Our study concludes that for potato by 2030, the opportunities for improving global production should be dependent on both high- and low-yield countries as the average yield is in the main body of an S-shaped curve in the evolutionary trend in the long run. These insights provide the academic circle with innovative comprehension of the potential yield of potato for global food security under climate change.

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基于 ARIMA-TR 模型的全球变暖条件下马铃薯的潜在产量
作为世界上重要的粮食作物,马铃薯一直受到学者们的关注,以提高其未来的产量,尤其是在气候变化的情况下。因此,分析马铃薯受全球变暖影响的潜在产量对指导全球作物生产具有重要意义。然而,迄今为止,大多数研究报告都是通过基于生产函数理论的模型来估算马铃薯的潜在产量,而基于静态随机过程的时间序列方法的理论研究却很少。因此,本文在1961年至2020年历史产量的基础上,使用自回归综合移动平均和趋势回归(ARIMA-TR)模型,创造性地预测了2021年至2030年马铃薯的平均产量和最高产量(全国),以探索未来作物的潜在产量;使用二元回归模型分析全球变暖对1961年至2020年马铃薯平均产量和最高产量(全国)的影响,其中全球平均气温被视为自变量,产量被视为因变量,以揭示气候事件如何驱动这两种产量的变化趋势。结果表明,2021 年至 2030 年间,马铃薯的平均产量预计为 21,234 至 23,773 公斤/公顷,最高产量为 50,240 至 51,452 公斤/公顷;平均产量将接近最高产量的 42.26 至 46.从 1961 年到 2020 年,全球变暖对马铃薯平均产量的正向影响(二次函数)(R 方 = 0.772,F = 96.417)大于对最高产量的反向影响(R 方 = 0.568,F = 76.201),这在一定程度上缩小了两种产量之间的差距。我们的研究得出结论,对于 2030 年的马铃薯而言,提高全球产量的机会应取决于高产和低产国家,因为平均单产处于长期演化趋势中的 S 型曲线的主体。这些见解为学术界提供了对气候变化下马铃薯促进全球粮食安全的潜在产量的创新理解。
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来源期刊
Potato Research
Potato Research AGRONOMY-
CiteScore
5.50
自引率
6.90%
发文量
66
审稿时长
>12 weeks
期刊介绍: Potato Research, the journal of the European Association for Potato Research (EAPR), promotes the exchange of information on all aspects of this fast-evolving global industry. It offers the latest developments in innovative research to scientists active in potato research. The journal includes authoritative coverage of new scientific developments, publishing original research and review papers on such topics as: Molecular sciences; Breeding; Physiology; Pathology; Nematology; Virology; Agronomy; Engineering and Utilization.
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