An improved crop calendar model for winter wheat incorporating vernalization and winter survival to project changes in phenology

K. Murakami, T. Iizumi, Seiji Shimoda
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Abstract

Crop phenology and associated crop calendars are necessary for designing breeding goals and for developing effective management practices. Winter wheat is a representative biennial, the cultivation schedule of which is constrained by winter climate conditions, particularly the processes of vernalization and winter survival. Here, we present improvements to a rule-based crop calendar model by incorporating these factors so that it can be used to accurately estimate the phenological events of winter wheat from daily meteorological data. We tested the improved model in Hokkaido, the northernmost Japanese island, which is characterized by seasonal snow cover and a wet summer. The results confirmed that implementing these factors contributed to accurate estimates of peak occurrence dates of winter wheat phenological events. Furthermore, we applied the improved model to simulate wheat phenology under 2 K and 4 K warmer scenarios. The results showed a delayed sowing period up to approximately one month and slight advancements in both flowering and harvesting, leading to a shorter growth period. While this shortened period may be largely compensated by a decrease in the snow-covered period, the shifts in the vegetative and reproductive phases may modify sink-source balance of wheat. We also assessed the risks of pollination failure and preharvest sprouting, both of which are associated with the timing of precipitation, based on the number of rainy days around flowering, and the incidence of precipitation over two consecutive days around the time of harvesting. Our simulations suggested increased risk of pollination failure and reduced risk of preharvest sprouting, leading to an increase in the probability of crop failure. These findings underscore the importance of implementing adaptation measures to mitigate precipitation-related risk under future climates. Further, the findings provide valuable insights for winter wheat breeders and agronomists, thereby facilitating crop production adaptation.
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改进冬小麦作物日历模型,纳入春化和冬季存活率以预测物候变化
作物物候学和相关的作物年历对于设计育种目标和制定有效的管理方法十分必要。冬小麦是一种具有代表性的二年生作物,其栽培计划受到冬季气候条件的制约,尤其是春化和冬季存活过程。在此,我们介绍了对基于规则的作物日历模型的改进,通过纳入这些因素,该模型可用于根据每日气象数据准确估计冬小麦的物候期。我们在日本最北端的岛屿北海道测试了改进后的模型,北海道的特点是季节性积雪和夏季潮湿。结果证实,利用这些因素有助于准确估计冬小麦物候期的高峰出现日期。此外,我们还应用改进后的模型模拟了 2K 和 4K 升温情景下的小麦物候期。结果显示,播种期推迟了约一个月,开花期和收获期都略有提前,导致生长期缩短。虽然生长期的缩短在很大程度上可以通过积雪期的缩短来弥补,但无性期和生殖期的变化可能会改变小麦的汇-源平衡。我们还评估了授粉失败和收获前发芽的风险,这两种风险都与降水时间有关,其依据是开花前后的降雨日数以及收获前后连续两天的降水发生率。我们的模拟结果表明,授粉失败的风险增加,收获前发芽的风险降低,导致作物歉收的概率增加。这些发现强调了在未来气候条件下实施适应措施以降低降水相关风险的重要性。此外,这些发现还为冬小麦育种家和农学家提供了宝贵的见解,从而促进作物生产的适应性。
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