Colzi Ilaria, Marone Elettra, Luti Simone, Pazzagli Luigia, Mancuso Stefano, Taiti Cosimo
Department of Biology, University of Florence, Via Micheli 1, 50121 Firenze, Italy.
Department of Biosciences and Technologies for Agriculture, Food and Environment, University of Teramo, Via R. Balzarini 1, 64100 Teramo, Italy.
Plants (Basel). 2023 May 11;12(10):1953. doi: 10.3390/plants12101953.
This study aims to evaluate the metabolic changes that occurred in olive leaves as responses over time to variations in climatic elements. Rainfall, temperature, and solar radiation data were collected over 4 months (August-November) to assess the impact of different climatic trends on the metabolism of the leaves of 15 Italian olive cultivars, cultivated at the experimental farm of the University of Florence. The net photosynthetic rate (A) and stomatal conductance (g), measured as main indicators of primary metabolism, were mainly influenced by the "cultivar" effect compared to the "climate" effect. The lowest A value was showed by "Bianchera", while "Ascolana" recorded the highest (8.6 and 13.6 µmol CO ms, respectively). On the other hand, the secondary metabolism indicators, volatile organic compound (VOC) and oleuropein (OL) content, were much more influenced by climate trends, especially rainfall. A phase of high rainfall caused a significant increase in the VOCs emission from leaves, even with different behaviors among the genotypes. The highest differences were observed between "Maiatica di Ferrandina", with the highest average values (85,000 npcs), and "Frantoio", which showed the lowest (22,700 npcs). The OL content underwent considerable fluctuations in relation to the rainfall but also appeared to be controlled by the genotype. "Coratina" always showed the highest OL concentration (reaching the maximum ~98 mg g), indicating the great potential of this cultivar for the industrial recovery of OL.
本研究旨在评估橄榄叶随时间对气候要素变化作出反应而发生的代谢变化。收集了4个月(8月至11月)的降雨、温度和太阳辐射数据,以评估不同气候趋势对种植在佛罗伦萨大学实验农场的15个意大利橄榄品种叶片代谢的影响。作为初级代谢主要指标测量的净光合速率(A)和气孔导度(g),与“气候”效应相比,主要受“品种”效应影响。“Bianchera”的A值最低,而“Ascolana”的A值最高(分别为8.6和13.6 μmol CO₂ m⁻² s⁻¹)。另一方面,次级代谢指标,挥发性有机化合物(VOC)和橄榄苦苷(OL)含量,受气候趋势尤其是降雨的影响更大。降雨量大的阶段导致叶片VOC排放显著增加,即使不同基因型之间表现不同。在平均价值最高(约85,000 npcs)的“Maiatica di Ferrandina”和最低(约22,700 npcs)的“Frantoio”之间观察到最大差异。OL含量随降雨有相当大的波动,但似乎也受基因型控制。“Coratina”始终显示出最高的OL浓度(达到最大值约98 mg g⁻¹),表明该品种在OL工业回收方面具有巨大潜力。