Responses of photosynthesis and chlorophyll fluorescence during light induction in different seedling ages of Mahonia oiwakensis

Chen, Chung-I; Lin, Kuan‐Hung; Lin, Tzu-Chao; Huang, Mengyuan; Chen, Yung-Chih; Huang, Chau-Ching; Wang, Ching-Wen

doi:10.21203/rs.3.rs-2227716/v1

Cited by 1 publication

(1 citation statement)

References 29 publications

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“…Scholars have conducted quantitative experiments to examine the impact of meteorological factors on the fruit setting rate of passion fruit (Zheng & Wei, 2018;Masakazu & Hiroshi, 2022), and have determined that excessive temperatures can decrease the fruit setting rate (Wang et al, 2022;Masakazu & Hiroshi, 2022). Additionally, some scholars have investigated the effects of extreme weather on passion fruit (Xiao et al, 2021) and have observed that frost resulting from extremely low temperatures often leads to varying degrees of damage to the growth and development of the fruit (Chen et al, 2022). A number of foreign scholars studied the relationship between passion fruit and climate factors by using stepwise backward reasoning method (Matsuda & Higuchi, 2020b) and quantitative analysis (Shimada et al, 2020), and found that excessive temperature would affect the normal flowering of passion fruit and reduce the sugar content of passion fruit.…”

Section: Introductionmentioning

confidence: 99%

Study on Temperature Disaster Indicators of Passion Fruit in Southwest Fujian, China

Mou,

Shao,

Shi

et al. 2024

GEP

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In China, meteorological forecasting relies on meteorological data obtained from regional and national stations. However, there were discrepancies between the data collected from the meteorological station at the passion fruit growing base and the data from regional and national stations. Consequently, the high and low temperature disaster indicators determined by the meteorological station at the passion fruit growing base cannot be applied to meteorological forecasting. To address this issue and facilitate the monitoring and early warning of high and low temperature disasters in passion fruit cultivation in Fujian, China, we used multi-source hourly temperature data (including the data from meteorological observation stations in passion fruit growing bases, the nearest regional stations, and national surface conventional meteorological observation stations) in three cities in southwestern Fujian (Longyan, Sanming, and Zhangzhou) spanning the years 2020 to 2022. By employing comprehensive statistical analysis methods (0.5 interval division and Cumulative frequency), we identified that passion fruit in southwestern Fujian was susceptible to high temperature disasters during the blooming-fruiting period, as well as low temperature disasters during the sprouting period. Consequently, we developed high and low temperature disaster indicators based on data from regional and national stations for different phenological periods of passion fruit in this region.

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Section: Introductionmentioning

confidence: 99%