| Meteorological service indicators for growth period of greenhouse watermelon in the Qaidam Basin |
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| DOI：10.7606/j.issn.1000-7601.2025.01.24 |
| Key Words: greenhouse watermelon sowing date observation experiment meteorological service indicators Qaidam Basin |
| Author Name | Affiliation | | LEI Yuhong | Qinghai Provincial Key Laboratory of Disaster Prevention and Reduction, Xining, Qinghai 810001, China
Golmud Meteorological Bureau of Qinghai Province, Golmud, Qinghai 816099, China | | LI Chunhui | Golmud Meteorological Bureau of Qinghai Province, Golmud, Qinghai 816099, China | | DENG Haifeng | Golmud Meteorological Bureau of Qinghai Province, Golmud, Qinghai 816099, China | | MA Liang | Golmud Meteorological Bureau of Qinghai Province, Golmud, Qinghai 816099, China | | YAN Liangdong | Qinghai Provincial Key Laboratory of Disaster Prevention and Reduction, Xining, Qinghai 810001, China | | HA Jinlong | Golmud Meteorological Bureau of Qinghai Province, Golmud, Qinghai 816099, China | | LI Jifang | Golmud Meteorological Bureau of Qinghai Province, Golmud, Qinghai 816099, China |
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| Abstract: |
| To enhance meteorological service indicators for watermelon greenhouse cultivation in the Qaidam Basin, a two\|year cultivation experiment was conducted in the Nomuhong area from 2022 to 2023. The experiment provided comprehensive data on the growth cycle, developmental stages, yield factors, and yield of greenhouse\|grown watermelon of different sowing dates over the observation period. Correlation analysis was conducted using corresponding meteorological factors such as temperature, relative humidity, ground temperature, and CO2 concentration in the greenhouse during the same period. The results showed that the average duration of the growth period of facility watermelons ranged from 80 to 135 days. When planted from mid\|April to early June with better heat conditions, the watermelon achieved higher yields, the two\|year yield of watermelon was maintained between 7.12 kg to 16.14 kg . Research on the occurrence and progression of diseases and pests, including red spider mites and powdery mildew, revealed that meteorological conditions from May to September were conducive to their emergence and spread. The correlation analysis between watermelon yield and different meteorological indicators showed that the correlation between the average daily temperature during bulking to mature stage and mature to harvest stage and yield, and the correlation between relative humidity during vines to fruiting stage and yield, and the correlation between CO2 concentration during fruiting to bulking stage and yield were significant or extremely significant. At the same time, optimal meteorological indicators for different stages of watermelon development were determined. |
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