浙江农业学报 ›› 2026, Vol. 38 ›› Issue (2): 239-247.DOI: 10.3969/j.issn.1004-1524.20250198

• 园艺科学 • 上一篇    下一篇

早熟结球甘蓝主要叶球性状关联算法模型比较

邵登魁1,2(), 刘敏1,2, 蒋承杰1,2, 杨娟1,2, 任延靖1,2, 李江1,2, 文军琴1,2   

  1. 1.青海大学农林科学院, 青海省蔬菜遗传与生理重点实验室, 青海 西宁 810016
    2.青海大学 省部共建三江源生态与高原农牧业国家重点实验室, 青海 西宁 810016
  • 收稿日期:2025-03-14 出版日期:2026-02-25 发布日期:2026-03-24
  • 作者简介:邵登魁,研究方向为高原特色蔬菜种质资源创新利用与新品种选育。E-mail:sdk2003-2003-2003@163.com
  • 基金资助:
    青海省科技厅科技成果转化专项(2023-NK-144);青藏高原种质资源研究与利用实验室(2025)

Comparison of association algorithm models for main leaf head traits in early-maturing cabbage

SHAO Dengkui1,2(), LIU Min1,2, JIANG Chengjie1,2, YANG Juan1,2, REN Yanjing1,2, LI Jiang1,2, WEN Junqin1,2   

  1. 1. Key Laboratory of Vegetable Genetics and Physiology of Qinghai Province, Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China
    2. The State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
  • Received:2025-03-14 Online:2026-02-25 Published:2026-03-24

摘要:

为筛选不同叶球紧实度的早熟结球甘蓝资源,本研究基于主要叶球农艺性状指标间的关联,模拟了不同叶球紧实度算法公式,并对所建算法与叠加度、紧实度和实测紧实度进行轮廓分析和回归分析,进而对最优回归模型进行可靠性评价。研究共构建了12组早熟圆球型和6组中早熟平头型结球甘蓝的叶球紧实度算法公式。轮廓分析显示,圆球型甘蓝中有2个算法公式与叠加度及实测紧实度轮廓相似,扁球型甘蓝中有4个算法公式与实测紧实度轮廓相似。趋势分析表明,算法公式Z12能更准确表达圆球型甘蓝叶球紧实度,T4能更准确表达扁球型甘蓝紧实度。利用主要农艺性状指标,通过逐步回归分别建立了Z12T4的多元线性回归方程,其最优模型的决定系数(R2)分别达到0.854和0.998,可靠性较高。本研究通过参数优化建立的结球甘蓝叶球紧实度算法,为全面评价商品性提供了科学依据。

关键词: 结球甘蓝, 叶球紧实度, 农艺性状, 紧实度模型

Abstract:

To screen early-maturing cabbage (Brassica oleracea var. capitata) resources with different head firmness, this study simulated various head firmness algorithm formulas based on the correlations among main head agronomic traits. Contour analysis and regression analysis were conducted between the established algorithms and overlapping degree, firmness, and measured firmness, followed by reliability evaluation of the optimal regression models. A total of 12 head firmness algorithm formulas were developed for early-maturing round-headed cabbage and 6 for medium-early-maturing flat-headed cabbage. Contour analysis revealed that two algorithm formulas for round-headed cabbage showed contour similarity with overlapping degree and measured firmness, while for flat-headed cabbage, four algorithm formulas exhibited contour similarity with measured firmness. Trend analysis indicated that algorithm formula Z12 more accurately expressed the head firmness of round-headed cabbage, and T4more accurately expressed the firmness of flat-headed cabbage. Using main agronomic traits, multiple linear regression equations for Z12 and T4were established through stepwise regression, with coefficient of determination (R2) of optimal model reaching 0.854 and 0.998, respectively, demonstrating high reliability. The head firmness algorithms for cabbage established through parameter optimization in this study provide a scientific basis for comprehensive evaluation of commercial quality.

Key words: cabbage (Brassica oleracea var. capitata), head firmness, agronomic trait, firmness model

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