Using Models To Predict Bigger Potato Harvests

Jim Crocker
8th August, 2025

Using Models To Predict Bigger Potato Harvests

Nightshades (Solanum)

Photo adapted from: Thomas Koffel / CC BY (Source)

Key Findings

  • In southwestern China, spring potatoes show the world's highest potential yield at 125.6 tons per hectare, but actual yields are much lower
  • The large yield gap in spring potatoes is mainly due to late blight disease, while autumn and early spring crops suffer from insufficient rainfall
  • Controlling late blight and extending the growing season can significantly boost spring potato yields, while better water management is crucial for other seasons
Ensuring global food security while supporting economic growth relies heavily on sustainable agriculture. A key challenge lies in maximizing the yield of staple crops like potatoes, which feed millions. The difference between what a crop could potentially yield under ideal conditions and what it actually produces is known as the 'yield gap'. Understanding and narrowing this gap is crucial for feeding a growing population. Recent research conducted by the International Potato Center, in collaboration with institutions including the Yunnan Academy of Agricultural Sciences, Yunnan Technology Innovation Center of Potato, Government College University Faisalabad, Zhaotong Academy of Agricultural Sciences, and National Cheng Kung University, TAIWAN, has shed new light on potato yield potential in southwestern China[1]. This study aimed to assess the maximum achievable yield and the existing yield gaps for three potato varieties across different growing seasons: spring, autumn, and early spring. The researchers employed a two-pronged approach involving extensive field trials and a newly developed plant growth simulation model named "Solanum." Crop models are sophisticated computer programs that simulate how plants grow and develop under various environmental conditions, helping scientists predict yields and understand limiting factors. Similar modeling efforts have been crucial in other agricultural studies, for instance, a multimodel assessment for potatoes quantified how yield changes with factors like carbon dioxide levels, temperature, and rainfall, and highlighted the importance of ensemble approaches to reduce prediction uncertainty[2]. Another study used a potato growth model to assess the performance of different potato genotypes under frost events in the Andean highlands[3]. The "Solanum" model builds upon this foundation, offering a specialized tool for potato cultivation. The findings from the current study were significant. It was determined that the average potential yield for spring potato crops in southwestern China was an impressive 125.6 tons per hectare (t/ha). This stands out globally, suggesting that spring potato in Yunnan Province has the highest potential yield worldwide. For autumn and early spring seasons, the potential yields were lower, at 45.30 t/ha and 56.40 t/ha, respectively. However, the actual yields fell considerably short of these potentials, revealing substantial yield gaps. The spring potato crop had the largest gap, at 107.30 t/ha, while autumn and early spring crops had gaps of 32.10 t/ha and 36.70 t/ha. Further analysis using the "Solanum" model and field data helped pinpoint the primary causes of these yield shortfalls. For the spring season, late blight disease was identified as the main culprit behind the large yield gap. Late blight is a destructive plant disease caused by a fungus-like organism, capable of rapidly destroying potato foliage and tubers, leading to significant crop losses. In contrast, for the autumn and early spring seasons, inadequate rainfall was found to be the major factor limiting actual potato yields. This aligns with broader agricultural concerns, as studies on other major crops like US maize and soybean have also identified drought as a significant climatic threat leading to yield losses[4]. Similarly, potato yield has been shown to decline with decreased rainfall in other regions[2]. These findings offer clear pathways for increasing potato production. By effectively managing late blight disease and, where feasible, extending the growing season for spring potatoes, the actual yield could potentially be increased by 115%. For autumn and early spring potatoes, improving water management to address inadequate rainfall would be key. This emphasis on targeted management strategies is consistent with other research that highlights the importance of specific practices, such as strategic watering, in achieving higher yields[3]. The study underscores the importance of understanding specific regional challenges and leveraging advanced modeling tools to identify precise solutions. Just as previous research has explored the role of genetic diversity in developing frost-resistant potato varieties to cope with climate variability[3], this study highlights how selecting appropriate cultivars and addressing specific environmental and biological stressors can unlock immense yield potential. The discovery of such high potential in spring potato in Yunnan Province could bring substantial economic benefits and prosperity to the region, contributing significantly to both local livelihoods and global food security efforts.

VegetablesAgriculturePlant Science

References

Main Study

1) Improving the prediction of potato yield gaps: Solanum-model parameterization and evaluation in southwestern China

Published 7th August, 2025

https://doi.org/10.1371/journal.pone.0328675

Related Studies

2) A potato model intercomparison across varying climates and productivity levels.

https://doi.org/10.1111/gcb.13411

3) Managing potato biodiversity to cope with frost risk in the high Andes: a modeling perspective.

https://doi.org/10.1371/journal.pone.0081510

4) The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2.

https://doi.org/10.1111/gcb.13617


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