食品科学 ›› 2026, Vol. 47 ›› Issue (6): 78-88.doi: 10.7506/spkx1002-6630-20251009-034

• 基础研究 • 上一篇    

不同产区冬枣品质与气象因子的关联及综合评价

王文军,陈奇凌,郑强卿,王晶晶,邓永辉,兖攀   

  1. (新疆农垦科学院,新疆 石河子 832000)
  • 发布日期:2026-04-14
  • 基金资助:
    兵团青年科技创新人才计划项目(2023CB007-04);兵团重大科技“揭榜挂帅”项目(2022AA003); 兵团科技创新平台与基地建设项目(2024YD026-16);院青年科技人才引导计划项目(2025YJQN12)

Correlation between Winter Jujube Quality and Meteorological Factors in Different Production Areas and Its Comprehensive Evaluation

WANG Wenjun, CHEN Qiling, ZHENG Qiangqing, WANG Jingjing, DENG Yonghui, YAN Pan   

  1. (Xinjiang Academy of Agricultural and Reclamation Science, Shihezi 832000, China)
  • Published:2026-04-14

摘要: 为探究不同产区冬枣品质差异及其与气象因子的关系,本研究以5 个主产区(新疆生产建设兵团第一师11团(A)、第二师22团(B)、第三师50团(C)和陕西大荔县(D)、山东沾化区(E))的冬枣为材料,系统测定34 项品质指标,结合全年气温、相对湿度与云量数据,通过单因素方差分析、Pearson相关性分析、一元线性回归、主成分分析(principal component analysis,PCA)及聚类分析进行探究。结果表明,不同产区冬枣在果实大小、质构特性、糖酸组分及营养积累方面存在显著差异;A产区的综合品质最优,B产区风味突出,C产区在口感质地方面较好,其蔗糖及矿质营养元素含量较为丰富;相关性及回归分析进一步揭示,气温升高有助于提升单果质量、果径、核性状及全碳含量,空气相对湿度降低则有利于提高糖酸比与硒含量,云量减少可增强脆度;通过PCA提取出“形态外观”“甜度风味”“蔗糖矿质”和“口感质地”4 个PC,综合品质排名A>B>C>E>D;聚类分析将产区聚为3 类,验证了A、B产区整体品质较优。本研究通过多维度指标结合气象因子建立量化模型,明确了影响冬枣品质形成的关键气候驱动因素,可为冬枣产区进一步优化与品质定向栽培提供科学依据。

关键词: 冬枣;品质;气象因子;产区;综合评价

Abstract: To explore the differences in the quality of winter jujubes from different production areas and their correlation with meteorological factors, this study collected winter jujubes from 5 major production areas (the 11th Regiment (A), 22nd Regiment (B), and 50th Regiment (C) of Xinjiang Production and Construction Corps, Dali county of Shaanxi Province (D), and Zhanhua of Shandong Province (E)) for systematically determining 34 quality indicators. Based on annual temperature, relative humidity and cloud cover data, further research was conducted using one-way analysis of variance (ANOVA), Pearson correlation analysis, simple linear regression, principal component analysis (PCA), and cluster analysis. The results showed that there were significant differences in fruit size, texture characteristics, sugar and acid components, and nutrient accumulation of winter jujubes from different production areas. Winter jujubes from production area A had the best comprehensive quality, those from production area B were prominent in flavor, and those from production area C performed well in taste and texture with relatively abundant contents of sucrose and mineral nutrients. Correlation and regression analysis further revealed that increased temperature was beneficial for improving single fruit mass, fruit diameter, kernel traits, and total carbon content. Decreased humidity was beneficial for increasing sugar-to-acid ratio and selenium content, and decreased cloud cover could contribute to enhanced crispness. PCA extracted four principal components (PCs), namely “morphological appearance”, “sweetness and flavor”, “sucrose and minerals”, and “taste and texture”, with the comprehensive scores of production areas ranking in a descending order as follows: A > B > C > E > D. Cluster analysis clustered the production areas into three categories, showing that the overall quality of winter jujubes from production areas A and B was better. By establishing a quantitative model based on a combination of multi-dimensional indicators and meteorological factors, this study identified the key climatic factors affecting winter jujube quality development, providing a scientific basis for the optimization of production areas and quality-oriented cultivation of winter jujubes.

Key words: winter jujubes; quality; meteorological factors; production areas; comprehensive evaluation

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