Abstract:

Based on the quality data of chili pepper dry matter, crude fiber, reducing sugar, capsaicin and meteorological observation data of 15 sampling points in the main chili pepper producing areas of Guizhou from 2020 to 2024, the correlation analysis, regression analysis, weighted summation and other methods were used to construct and verify the evaluation model of chili pepper climate quality. Based on the model, the temporal and spatial distribution characteristics of chili pepper climate quality in Guizhou were evaluated to provide a reference for the rational utilization of climate resources for high−quality chili pepper production. The results showed that: (1) the key meteorological factors affecting the quality of chili pepper in Guizhou were the cumulative sunshine hours from mid−May to mid−June, the cumulative sunshine hours from mid−August to late September, the average daily range from mid−April to early June and the average daily range from early July to late September. (2) The climate quality index (I_CQ) of chili pepper was constructed by normalized dry matter, crude fiber, reducing sugar and capsaicin, which could better characterize the comprehensive quality level of chili pepper, and the climate quality of chili pepper could be classified into four grades. I_CQ<0.39 was the general grade, 0.39≤I_CQ<0.46 was the good grade, 0.46≤I_CQ<0.53 was the excellent grade, and ICQ≥0.53 was the special excellent grade. (3) Based on the data of 2024, the determination coefficient R² of the climate quality of chili pepper evaluation model was 0.88, with residuals all within 0.07, root mean square error (RMSE) of 0.05, and relative error of 10.12%, indicating that the model had high simulation accuracy and good consistency. (4) The climate quality index of chili peppers fluctuated within the range of [0.26,0.69] from 2005 to 2024, and its spatial distribution gradually decreased from east to west. Among them, the climate quality of chili peppers in Jinping, Yinjiang, Taijiang, Yanhe, Yuqing and other places was better.

Key words: Chili pepper, Climatic quality, Key meteorological factors, Evaluation model, Variation characteristics