气象与环境学报2025，Vol.41Issue(5)：85-91,7.DOI:10.3969/j.issn.1673-503X.2025.05.010
甜樱桃气候品质评价指标及模型初探
Evaluation Indicators and preliminary model of climatic quality for sweet cherry
摘要
Abstract
To conduct a quantitative evaluation of the climatic quality of sweet cherry,Prunus avium,the typical sweet cherry cultivar"Summit"was selected as the experimental material.Based on the quality data of sweet cher-ry and meteorological data in Dalian from 2019 to 2023,Pearson correlation analysis,stepwise regression,weighted summation method and other methods were used to determine the grading indicators for the climatic quality of sweet cherry and to establish a climatic quality evaluation model for sweet cherry.The results show that both single fruit weight and fruit diameter of sweet cherry are positively correlated with temperature-related factors during the flowering and fruit development periods,and are highly significantly positively correlated with the accumulated temperature≥10℃ during the whole growth period.They are negatively correlated with precipitation-related fac-tors during the fruit development period,and are highly significantly negative correlated with total precipitation during the whole growth period.The soluble solids content is positively correlated with temperature-related factors during the fruit ripening period and is significantly positively correlated with the average temperature during the ripening period.The premium climatic quality indicators for sweet cherry in Dalian area are an accumulated tem-perature≥10℃ of no less than 974.6℃·d during the whole growth period,total precipitation less than 130.5 mm during the whole growth period,and an average temperature of 20.8～22.0℃ during the ripening period.Verification results indicate that the evaluation indicator IACQ can be used for climatic quality assessment of sweet cherry.关键词
甜樱桃/气候品质/评价指标/气候品质指数/评价模型Key words
Sweet cherry/Climatic quality/Evaluation indicators/Climatic quality indicator/Evaluation model分类
农业科技引用本文复制引用
李鸿强,陈妮娜,王峰,宋若宁,裴悦意,冯殿东..甜樱桃气候品质评价指标及模型初探[J].气象与环境学报,2025,41(5):85-91,7.基金项目
辽宁省农业气象灾害重点实验室联合开放基金课题(2025SYIAEKFZD08)、辽宁省科技计划联合计划(技术攻关计划项目)(2024JH2/102600166)、中国气象局气象能力提升联合研究专项(23NLTSQ012)和国家自然科学基金项目(41705094)共同资助. （2025SYIAEKFZD08）
