Engelen Chaim, Wechsler Tahel, Bakhshian Ortal, Smoly Ilan, Flaks Idan, Friedlander Tamar, Ben-Ari Giora, Samach Alon
The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, P.O. Box 12, Rehovot 7610001, Israel.
Institute of Plant Sciences, Agricultural Research Organization (ARO), Volcani Center, Rishon LeZion 7528809, Israel.
Plants (Basel). 2023 Apr 20;12(8):1714. doi: 10.3390/plants12081714.
With global warming, mean winter temperatures are predicted to increase. Therefore, understanding how warmer winters will affect the levels of olive flower induction is essential for predicting the future sustainability of olive oil production under different climactic scenarios. Here, we studied the effect of fruit load, forced drought in winter, and different winter temperature regimes on olive flower induction using several cultivars. We show the necessity of studying trees with no previous fruit load as well as provide evidence that soil water content during winter does not significantly affect the expression of an FT-encoding gene in leaves and the subsequent rate of flower induction. We collected yearly flowering data for 5 cultivars for 9 to 11 winters, altogether 48 data sets. Analyzing hourly temperatures from these winters, we made initial attempts to provide an efficient method to calculate accumulated chill units that are then correlated with the level of flower induction in olives. While the new models tested here appear to predict the positive contribution of cold temperatures, they lack in accurately predicting the reduction in cold units caused by warm temperatures occurring during winter.
随着全球变暖,预计冬季平均气温将会上升。因此,了解暖冬如何影响油橄榄花芽分化水平对于预测不同气候情景下橄榄油生产的未来可持续性至关重要。在此,我们使用多个品种研究了果实负载量、冬季强迫干旱以及不同冬季温度模式对油橄榄花芽分化的影响。我们证明了研究此前无果实负载的树木的必要性,并提供证据表明冬季土壤含水量不会显著影响叶片中FT编码基因的表达以及随后的花芽分化速率。我们收集了5个品种9至11个冬季的年度开花数据,共48个数据集。通过分析这些冬季的每小时温度,我们初步尝试提供一种有效的方法来计算累积低温单位,然后将其与油橄榄的花芽分化水平相关联。虽然此处测试的新模型似乎能预测低温的积极作用,但它们在准确预测冬季温暖温度导致的低温单位减少方面存在不足。