Acta Agriculturae Zhejiangensis ›› 2026, Vol. 38 ›› Issue (2): 239-247.DOI: 10.3969/j.issn.1004-1524.20250198

• Horticultural Science • Previous Articles     Next Articles

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

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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