浙江农业学报 ›› 2026, Vol. 38 ›› Issue (7): 1355-1365.DOI: 10.3969/j.issn.1004-1524.20250693

• 园艺科学 • 上一篇    下一篇

西蓝花现蕾期模拟模型的构建与验证

冯玥1(), 何卫军1, 曹静2, 孙挺2, 顾宏辉3, 陈君4, 吴其褒5, 张文宇2,*(), 吴早贵1,*()   

  1. 1 浙江省种子管理总站, 浙江 杭州 310020
    2 江苏省农业科学院无锡分院, 江苏 无锡 214174
    3 浙江省农业科学院 蔬菜研究所, 浙江 杭州 310021
    4 台州市椒江区种子事务站, 浙江 台州 318000
    5 三门县农业技术推广中心, 浙江 三门 317100
  • 收稿日期:2025-11-10 出版日期:2026-07-25 发布日期:2026-08-20
  • 作者简介:冯玥,从事农作物品种管理工作。E-mail:806365263@qq.com
  • 通讯作者: *张文宇,E-mail: research@wwery.cn; 吴早贵,E-mail: wuzgmail@163.com
  • 基金资助:
    农业农村部国家西蓝花育种联合攻关(2018—2026);浙江省农业(蔬菜)新品种选育重大科技专项(2021C02065-4-1)

Construction and validation of a simulation model for the floral initiation stage of Brassica oleracea var. italica

FENG Yue1(), HE Weijun1, CAO Jing2, SUN Ting2, GU Honghui3, CHEN Jun4, WU Qibao5, ZHANG Wenyu2,*(), WU Zaogui1,*()   

  1. 1 Zhejiang Provincial Seed Management Station, Hangzhou 310020, China
    2 Jiangsu Academy of Agricultural Sciences Wuxi Branch, Wuxi 214174, Jiangsu, China
    3 Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
    4 Jiaojiang Seed Affairs Station, Taizhou 318000, Zhejiang, China
    5 Sanmen Agricultural Technology Extension Center, Sanmen 317100, Zhejiang, China
  • Received:2025-11-10 Published:2026-07-25 Online:2026-08-20

摘要: 西蓝花现蕾期对产量、品质形成、茬口与播期管理具有重要影响。为精准预测不同西蓝花品种从定植至现蕾所需的时间,本研究基于浙江省椒江和三门2个试验点的多年气象资料,以及不同品种西蓝花定植与现蕾期观测数据,构建了基于温度和光周期的西蓝花现蕾期模拟模型。通过Sobol敏感性分析,识别关键参数及其交互作用,并利用网格搜索与交替迭代策略对定植至现蕾所需的潜在热量单元(Gv)、温度敏感性(ST)、最适温度(To)和光周期敏感性(G)进行了优化。椒江试验点和三门试验点数据分别用于参数校准和模型验证。结果表明,不同品种对温度和光周期的敏感性存在显著差异,模型在参数校准中的平均均方根误差为2.78 d,在验证中的平均均方根误差为1.33 d,可较准确地模拟西蓝花现蕾期,并为新品种选育、生产管理优化和区域适应性评价提供理论依据。

关键词: 西蓝花, 现蕾期, 温度, 光周期, 模拟模型

Abstract:

The floral initiation stage of broccoli significantly impacts yield, quality formation, cropping sequence and sowing date management. To accurately predict the time required from transplanting to floral initiation for different broccoli varieties, this study constructed a temperature- and photoperiod-based simulation model of the broccoli floral initiation stage using multi-year meteorological data from two experimental sites in Jiaojiang and Sanmen, Zhejiang Province, together with observational data on the transplanting and floral initiation dates of different varieties. Key parameters and their interactions were identified through Sobol sensitivity analysis, and the potential heat unit required from transplanting to floral initiation (Gv), temperature sensitivity (ST), optimum temperature (To) and photoperiod sensitivity (G) were optimized using a grid search and alternating iteration strategy. Data from the Jiaojiang site were used for parameter calibration, and data from the Sanmen site were used for model validation. The results showed significant differences among varieties in sensitivity to temperature and photoperiod. The average root mean square error of the model was 2.78 d in calibration and 1.33 d in validation, indicating that the model could simulate the floral initiation stage of broccoli with acceptable accuracy and provide a theoretical basis for new variety breeding, production management optimization and regional adaptability assessment.

Key words: broccoli (Brassica oleracea var. italica), floral initiation, temperature, photoperiod, simulation model

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