Influence of Meteorological Factors on Tobacco Yield Based on Grey Correlation Analysis

LIUFang, GERuiting

Journal of Agriculture ›› 2026, Vol. 16 ›› Issue (7) : 83-89.

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Journal of Agriculture ›› 2026, Vol. 16 ›› Issue (7) : 83-89. DOI: 10.11923/j.issn.2095-4050.cjas2024-0203

Influence of Meteorological Factors on Tobacco Yield Based on Grey Correlation Analysis

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Abstract

In view of the unclear influence mechanism of meteorological factors on tobacco yield in Zibo and the lack of accurate meteorological basis for cultivation and management, in order to improve tobacco yield and quality and clarify the influence and law of key meteorological factors on tobacco yield, this study was conducted based on the tobacco yield data of Zibo from 2019 to 2022 and the meteorological data of average temperature, precipitation, sunshine hours, maximum wind speed and extreme wind speed of three national basic meteorological stations ( Boshan, Zichuan and Yiyuan). The Z-score standardization and grey correlation analysis method were used. The effects of these main meteorological factors on the growth stages of tobacco (root extension stage, vigorous growth stage and mature stage) and monthly growth stage (May-September) were analyzed respectively. The results show that precipitation, average temperature and sunshine hours has the greatest correlation with tobacco yield, while the influence of maximum wind speed and extreme wind speed is relatively small. In the root extension stage and the vigorous growth stage, the grey correlation degree between precipitation and tobacco yield is the largest, and the average temperature and sunshine hours has the greatest influence on the growth of tobacco in the mature stage. Based on a monthly analysis of tobacco growth stages, the results indicate that the average temperature in August, precipitation in July, sunshine hours in September, precipitation in June, extreme wind speed in September, and sunshine hours in June exhibit the strongest correlation with tobacco yield, with all correlation coefficients exceeding 0.85. This study demonstrates that tobacco yield is synergistically influenced by multiple meteorological factors, and the intensity of these major factors dynamically varies across different growth stages. Precipitation, average temperature, and sunshine duration are key influencing factors throughout the entire growth stage of tobacco. In contrast, the impact of wind speed on tobacco growth increases with the rise in leaf number and expansion of leaf area, reaching its peak during the maturity stage. Finally, based on the analysis of the results, we give a series of feasible measures for tobacco planting, which not only provides an important scientific theoretical basis for agricultural meteorological services and tobacco planting management, but also lays the foundation for improving tobacco yield.

Key words

grey correlation analysis / tobacco yield / meteorological factors / each growth period of tobacco

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LIU Fang , GE Ruiting. Influence of Meteorological Factors on Tobacco Yield Based on Grey Correlation Analysis[J]. Journal of Agriculture. 2026, 16(7): 83-89 https://doi.org/10.11923/j.issn.2095-4050.cjas2024-0203

References

[1]
王暖春. 山东省烤烟烟叶质量分析与评价[D]. 北京: 中国农业科学院, 2009.
[2]
中国农业科学院烟草研究所. 中国烟草栽培学[M]. 上海: 上海科学技术出版社, 2005.
[3]
王英俊. 淄博烟区特色优质烟叶品质区划与关键生产技术研究[D]. 长沙: 湖南农业大学, 2010.
[4]
环海军, 刘岩, 孙燕玲, 等. 鲁中地区近35a不同历时降水变化特征[J]. 沙漠与绿洲气象, 2018, 12(5):83-89.
[5]
谢晏芬, 杨焕文, 刘彦中. 气候因子对烤烟质量的影响[J]. 西南农业学报, 2006, 19(B09):4.
[6]
张宏建. 不同生态亚区土壤和气候及其互作对浓香型烤烟品质的影响[D]. 广州: 华南农业大学, 2018.
[7]
WU W, TANG X P, YANG C, et al. Investigation of ecological factors controlling quality of flue-cured tobacco (Nicotiana tabacum L.) using classification methods[J]. Ecological informatics, 2013, 16:53-61.
[8]
文建川, 景元书. 烟草化学成分与气象因子关系研究进展[J]. 河南农业科学, 2019, 48(4):1-8.
烟草的化学成分决定了口感、刺激性、香气等吸食品质,深入了解气象因子对烟草化学成分的影响对提高烟草品质很有必要。综述了极端温度、均温、昼夜温差、降水量、干旱胁迫、光照强度、日照时数、光质等对烟叶常规化学成分、中性香气成分的影响,并分析了影响四川、云南、河南3个主产烟区烟叶典型化学成分的主导气象因子,为揭示烟草品质的生态机制提供一定的理论依据。
[9]
杜兴华, 胡颖梅, 高明博, 等. 陕西烤烟主产区气象因子和烟叶化学成分特征及关系分析[J]. 西北农业学报, 2023, 32(5):815-823.
[10]
李小芳, 赵鹏, 张向荣, 等. 生育期气候因子对陕西安康烟区烤烟产量、质量的影响[J]. 西北农林科技大学学报(自然科学版), 2015, 43(9):97-102.
[11]
李淑娥, 刘开平, 杨居健. 影响白河烤烟生产气象因子的灰色关联度分析[J]. 陕西农业科学, 2012, 58(6):25-27.
[12]
韩湘玲. 作物生态学[M]. 北京: 气象出版社, 1991.
[13]
郭康军, 邹春辉, 余卫东, 等. 2023年河南冬小麦成熟期连阴雨强度综合评估[J]. 气象与环境科学, 2024(1):97-104.
[14]
邓聚龙. 灰色系统理论教程[M]. 武汉: 华中理工大学出版社, 1990:38-84.
[15]
邓聚龙. 灰色理论基础[M]. 武汉: 华中科技大学出版社, 2002:140-143.
[16]
刘思峰. 灰色系统理论的产生与发展[J]. 南京航空航天大学学报, 2004(2):267-272.
[17]
吾米提·居马太, 瓦力江·瓦黑提, 黄娟. 新疆气象灾害对主要作物产量影响的灰色关联分析[J]. 沙漠与绿洲气象, 2020, 14(1):132-137.
[18]
严彩虹, 李晓明. 基于灰色关联分析的新疆棉花产量气象影响因素研究[J]. 沙漠与绿洲气象, 2012, 6(5):51-53.
[19]
杨宁, 孔令刚, 甄铁军, 等. 夏玉米产量与主要气象因子灰色关联度分析[J]. 农学学报, 2020, 10(11):37-42.
为了更好分析主要气象因子对夏玉米产量影响情况,采用灰色关联度分析方法,对山东省枣庄市2011—2018年夏玉米产量与主要气象因子的灰色关联分析,结果表明:夏玉米产量与主要气象因子的灰色关联度排序依次为:9月份气温(0.9562)>6—9月份气温(0.9449)>6月份气温(0.9312)>7月份气温(0.9283)>8月份气温(0.9157)>6—9月份光照时数(0.8578)>7月份光照时数(0.8393)>9月份光照时数(0.8283)>6月份光照时数(0.8212)>8月份光照时数(0.7803)>6—9月份降水量(0.7623)>9月份降水量(0.6783)>8月份降水量(0.6239)>6月份降水量(0.5842)>7月份降水量(0.5409)。气温是主要因子,其次是光照时数,最后是降水量,通过夏玉米产量与主要气象因子灰色关联度分析,以期对黄淮海区域夏玉米种植区有所参考。
[20]
张启良, 赵敏芬, 何希群. 淄博南部山区烟草产区防雹作业探讨[J]. 山东气象, 2010, 30(1):28-32.
[21]
刘晓迎, 左璇, 刘雅星, 等. 河南浓香型烟叶产区气候条件分析[J]. 河南农业科学, 2017, 46(3):52-58.
为揭示河南浓香型烤烟风格特点与气候条件的关系,基于河南烟区64个气象站1981—2010年30 a气候值资料,采用统计分析方法,分析了河南烟区Ⅰ区(许昌、周口、漯河、平顶山、南阳、信阳和驻马店)和Ⅱ区(三门峡和洛阳)浓香型烟叶典型生态区的气候特征及全生育期气象因子的演变规律和匹配变化特征。结果表明:河南烟区Ⅰ区和Ⅱ区,伸根期平均气温增加迅速,降雨量和日照时数变化较为平稳,该时期是冰雹和大风灾害易发阶段;旺长期平均气温增加迅速,降雨量增加,日照时数减少,该时期易遭受高温热害;成熟期平均气温迅速下降,降雨量和日照时数显著减少,该时期易遭受连阴雨灾害。从总体上看,河南烟区光温水的变化规律与浓香型烤烟生长需求匹配协调,且表现出旺长期“雨热同期日照足”与伸根期和成熟期“温高雨少日照足”的气候优势,但也可能出现前期冰雹大风、中后期高温热害和连阴雨灾害的不利气候。
[22]
刘小容, 黄秀娟, 张毅, 等. 大埔县气候条件对烤烟种植的影响[J]. 广东气象, 2016, 38(2):66-68.
[23]
刘少霞, 夏金, 李爱华, 等. 十堰烤烟主产区大风分布特征及灾情分析[J]. 气象与环境科学, 2023, 46(6):85-91.
[24]
张芳, 李永鑫, 和刚, 等. 大田作物微喷带灌溉综合效益分析[J]. 人民黄河, 2011, 33(5):76-77.
[25]
柳红, 司志华. 气象因子与淄川区黄烟生长发育关系的研究与应用[J]. 陕西农业科学, 2013, 59(6):151-155.
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