Crops ›› 2026, Vol. 42 ›› Issue (1): 231-239.doi: 10.16035/j.issn.1001-7283.2026.01.029

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Establishment and Verification of a Simulation Model for Tobacco Leaf Initiation Based on Different Temperature and Light Scales

Wang Dequan1(), Liu Zhongqing1, Zhao Qinghai1, Zhao Hongjun1, Sun Gang1, Wang Yi1, Sun Yanguo2(), Shi Yi2, Jiang Bin3, Wu Kaicheng3   

  1. 1Shandong Weifang Tobacco Co., Ltd, Weifang 261061, Shandong, China
    2Institute of Tobacco Research, Chinese Academy of Agricultural Sciences / Key Laboratory of Tobacco Biology and Processing, Ministry of Agriculture and Rural Affairs, Qingdao 266101, Shandong, China
    3China National Tobacco Corporation Shandong Province Company, Jinan 250101, Shandong, China
  • Received:2024-08-21 Revised:2024-09-27 Online:2026-02-15 Published:2026-02-10

Abstract:

In order to accurately simulate the initiation process of tobacco leaves and provided reference for precise management and control of tobacco production, field comparison experiments of different transplanting date treatments were carried out for two consecutive years from 2022 to 2023 to establish dynamic models of tobacco leaf changes based on different scales, and the simulation accuracy of different models was analyzed. The results showed that the rate of leaf initiation accelerated with the delay of the transplanting date, and the time to reach the maximum number of leaves was shortened. The final number of leaves (A value) in different transplanting dates was basically the same. The leaf initiation models of tobacco was an atypical “S” type growth curve with no stable growth period. The accuracy of the growing degree days model was higher than that of the growing day model, which had better practicality when the temperature changed in the appropriate range. The accuracy of the thermal-photo effectiveness model was higher than the growing degree days model, however, the prediction accuracy fluctuated across different years. The accuracy of the physiological development time model was higher than other models. The time for the tobacco leaves number to reach the maximum value was 37.63- 46.62, the growing degree days was 440.06-483.04, the thermal-photo effectiveness value was 30.17-34.36, and the physiological development time was 29.13-31.80, in the transplanting date from late April to late May in Shandong tobacco area. The simulation model of tobacco leaf initiation based on physiological development time had higher reliability and universality, which could accurately characterize the process of plant development and provide support for the precise management of tobacco production.

Key words: Tobacco, Leaf initiation, Temperature, Light, Simulation model

Fig.1

Meteorological data at different transplanting periods"

Table 1

Parameters of tobacco leaf initiation dynamic model"

自变量
Independent variable
处理
Treatment
模型参数Model parameter R2
A B K N
生长天数GD A1 40.833 689.746 14.693 479.172 0.997**
A2 40.667 583.130 13.438 422.498 0.996**
A3 40.814 709.781 17.309 497.594 0.997**
A4 40.748 445.869 11.766 310.362 0.998**
均值 40.645 708.780 16.903 504.512 0.990**
生长度日GDD A1 41.026 23.013 0.053 16.493 0.996**
A2 40.681 52.997 0.122 40.449 0.995**
A3 40.855 39.364 0.086 30.243 0.996**
A4 40.918 43.451 0.092 31.475 0.995**
均值 40.872 44.227 0.098 32.783 0.993**
温光效应TPE A1 41.170 13.540 0.461 9.520 0.996**
A2 40.693 45.184 1.527 34.277 0.995**
A3 40.834 62.262 2.027 47.644 0.998**
A4 40.833 80.168 2.547 58.131 0.995**
均值 40.852 51.784 1.696 38.553 0.995**
生理发育时间PDT A1 41.068 16.826 0.593 12.239 0.996**
A2 41.048 27.059 0.937 20.518 0.995**
A3 40.913 61.947 2.144 47.064 0.996**
A4 40.833 64.961 2.199 46.130 0.995**
均值 40.847 43.558 1.521 32.177 0.995**

Fig.2

Simulation model of tobacco leaf development"

Table 2

Model verification of tobacco leaf development"

年份
Year
处理
Treatment
均方根误差RMSE 相对误差RE (%)
生长天数
GD
生长度日
GDD
温光效应
TPE
生理发育时间
PDT
生长天数
GD
生长度日
GDD
温光效应
TPE
生理发育时间
PDT
2022 A1 2.29 1.00 0.84 0.89 8.89 3.89 3.26 3.46
A2 0.92 1.16 1.02 0.97 3.58 4.52 3.96 3.79
A3 0.98 0.71 0.68 0.76 3.54 2.57 2.45 2.75
A4 2.40 1.18 1.14 1.07 8.66 4.25 4.10 3.84
均值 1.78 1.01 0.98 0.91 6.67 3.80 3.43 3.42
2023 B1 2.93 0.91 0.90 0.75 12.82 3.99 3.96 3.30
B2 0.79 1.07 0.96 0.86 3.17 4.34 3.88 3.46
B3 1.81 0.98 1.03 0.94 6.89 3.71 3.92 3.59
均值 2.04 0.99 0.97 0.85 8.28 4.01 3.92 3.47

Fig.3

Comparison between simulated and measured values of tobacco leaf number"

Fig.4

Rate of tobacco leaf initiation"

Table 3

Characteristic parameters of tobacco leaf initiation dynamic model"

自变量Independent variable Va Vmax TVmax WVmax T1 T2 T3
生长天数GD 0.62~0.77 1.23~1.51 37.41~46.52 40.00~40.31 36.92~46.10 37.90~46.94 37.63~46.62
生长度日GDD 0.05~0.06 0.10~0.11 381.32~434.80 34.49~37.10 325.33~396.33 434.98~473.27 440.06~483.04
温光效应TPE 0.82~0.86 1.41~1.64 24.48~29.88 32.15~38.07 19.01~28.27 29.64~31.50 30.17~34.36
生理发育时间PDT 0.85~0.93 1.49~1.75 24.15~27.80 33.25~37.67 19.56~26.03 28.74~29.57 29.13~31.80
[1] 乐丽娜, 黄敏仁, 陈英. 植物叶形态建成的分子机理研究进展. 分子植物育种, 2016, 14(11):3205-3213.
[2] 石生辉, 王吉, 朱敏, 等. 不同叶龄期剪叶对春玉米籽粒灌浆及产量的影响. 东北农业科学, 2024, 49(1):19-26.
[3] 张智优, 曹宏鑫, 陈兵林, 等. 设施番茄发育期与叶龄动态模拟模型研究. 中国农业气象, 2011, 32(4):550-557.
[4] 吕伟生, 曾勇军, 石庆华, 等. 双季机插稻叶龄模式参数及高产品种特征. 作物学报, 2018, 44(12):1844-1857.
doi: 10.3724/SP.J.1006.2018.01844
[5] 中国农业科学院烟草研究所. 中国烟草栽培学. 上海: 上海科学技术出版社, 2005.
[6] 解梦凡, 贾海江, 曲远凯, 等. 种植密度和氮肥用量对百色烟区烤烟叶片发育及烟叶产量的影响. 作物杂志, 2024(2):189-197.
[7] 刘福昊, 郭申伯, 王笛, 等. 设施番茄外观形态及物质累积分配模型构建与验证. 农业工程学报, 2022, 38(21):188-196.
[8] 蒙继华, 王亚楠, 林圳鑫, 等. 作物生长模型研究现状与展望. 农业机械学报, 2024, 55(2):1-15,27.
[9] 孙扬越, 申双和. 作物生长模型的应用研究进展. 中国农业气象, 2019, 40(7):444-459.
[10] 李忠辉, 袁福香, 郭春明, 等. 基于当量积温的春玉米叶龄模式研究. 农学学报, 2020, 10(12):94-97.
doi: 10.11923/j.issn.2095-4050.cjas20190900196
[11] 王乐, 牛媛, 曹志强, 等. 棉花叶龄动态的模拟研究. 江苏农业科学, 2018, 46(4):68-73.
[12] 吕大树, 陈小龙, 藏照阳, 等. 贵州省烤烟上部烟叶成熟期主要气象因素分析. 烟草科技, 2021, 54(8):18-25.
[13] 张继旭, 张忠锋, 刘文涛, 等. 不同光照强度对烤烟中上部叶片结构及物理性状的影响. 西南农业学报, 2019, 32(2):322-326.
[14] 张明达, 李蒙, 胡雪琼, 等. 基于辐热积法模拟烤烟叶面积与烟叶干物质产量. 生态学报, 2013, 33(22):7108-7115.
[15] 招启柏, 廖文程, 孔光辉, 等. 移栽期对烤烟叶片生长动态的影响及其模型的建立. 中国烟草学报, 2013, 19(4):41-54.
[16] 孙延国, 王永, 张杨, 等. 烟草温光特性研究与利用:Ⅲ.基于温光效应的烟草叶片生长模拟模型建立. 中国烟草科学, 2022, 43(4):6-14.
[17] 陈钊, 魏子全, 张骞, 等. 移栽期对烤烟品种龙江851生长规律的影响. 现代化农业, 2011(8):25-28.
[18] 孙延国, 董建新, 吴元华, 等. 西南烟区主栽烟草品种叶片发生及生长模拟模型建立. 中国农业科技导报, 2018, 20(8):29-38.
doi: 10.13304/j.nykjdb.2017.0602
[19] 钱益亮, 崔会会, 邵伏文, 等. 有效积温对烤烟叶龄及成熟度的影响. 中国烟草科学, 2013, 34(6):15-19.
[20] 宋洋, 王学林, 殷剑敏, 等. 三种光温模型在模拟水稻生育期中的应用与比较. 生态学杂志, 2014, 33(12):3262-3267.
[21] 张明达, 朱勇, 胡雪琼, 等. 基于生理发育时间和生长度日的烤烟生育期预测模型. 应用生态学报, 2013, 24(3):713-718.
[22] 李国强, 汤亮, 张文宇, 等. 不同株型小麦干物质积累与分配对氮肥响应的动态分析. 作物学报, 2009, 35(12):2258-2265.
doi: 10.3724/SP.J.1006.2009.02258
[23] 张艺能, 周玉萍, 陈琼华, 等. 拟南芥开花时间调控的分子基础. 植物学报, 2014, 49(4):469-482.
doi: 10.3724/SP.J.1259.2014.00469
[24] 张鹏钰, 卫丽, 朱灿灿, 等. 普通小麦春化基因VRN3的表达分析及过表达载体构建. 作物杂志, 2016(2):63-67.
[25] Balasubramanian S, Sureshkumar S, Lempe J, et al. Potent induction of Arabidopsis thaliana flowering by elevated growth temperature. PLoS Genetics, 2006, 2(7):e106.
doi: 10.1371/journal.pgen.0020106 pmid: 16839183
[26] 陆维超, 赵建国, 张莉, 等. 植物茎尖分生组织分化调控机制研究进展. 西北植物学报, 2016, 36(5):1055-1065.
[27] 金磊, 晋艳, 周冀衡, 等. 苗期低温对烤烟花芽分化及发育进程的影响. 中国烟草科学, 2007, 28(6):1-5.
[28] 孙延国, 马兴华, 黄择祥, 等. 烟草温光特性研究与利用:Ⅰ.气象因素对山东烟区主栽品种生育期的影响. 中国烟草科学, 2020, 41(1):30-37.
[29] 董智强, 王萌萌, 李鸿怡, 等. WOFOST模型对山东省夏玉米发育期与产量模拟的适用性评价. 作物杂志, 2019(5):159-165.
[30] 王萌萌, 杨沈斌, 江晓东, 等. 光温要素对水稻群体茎蘖增长动态影响的分析及模拟. 作物学报, 2016, 42(1):82-92.
[31] 孟亚利, 曹卫星, 周治国, 等. 基于生长过程的水稻阶段发育与物候期模拟模型. 中国农业科学, 2003, 36(11):1362-1367.
[32] 严美春, 曹卫星, 罗卫红, 等. 小麦发育过程及生育期机理模型的研究:I.建模的基本设想与模型的描述. 应用生态学报, 2000, 11(3):355-359.
[33] 冯阳春, 魏广彬, 李刚华, 等. 水稻主茎出叶动态模拟研究. 中国农业科学, 2009, 42(4):1172-1180.
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