浙江农业学报2026，Vol.38Issue(2)：239-247,9.DOI:10.3969/j.issn.1004-1524.20250198
早熟结球甘蓝主要叶球性状关联算法模型比较
Comparison of association algorithm models for main leaf head traits in early-maturing cabbage
摘要
Abstract
To screen early-maturing cabbage(Brassica oleracea var.capitata)resources with different head firm-ness,this study simulated various head firmness algorithm formulas based on the correlations among main head agro-nomic traits.Contour analysis and regression analysis were conducted between the established algorithms and overlap-ping 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 medi-um-early-maturing flat-headed cabbage.Contour analysis revealed that two algorithm formulas for round-headed cab-bage 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 for-mula Z12 more accurately expressed the head firmness of round-headed cabbage,and T4 more accurately expressed the firmness of flat-headed cabbage.Using main agronomic traits,multiple linear regression equations for Z12 and T4 were 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 pa-rameter optimization in this study provide a scientific basis for comprehensive evaluation of commercial quality.关键词
结球甘蓝/叶球紧实度/农艺性状/紧实度模型Key words
cabbage(Brassica oleracea var.capitata)/head firmness/agronomic trait/firmness model分类
农业科技引用本文复制引用
邵登魁,刘敏,蒋承杰,杨娟,任延靖,李江,文军琴..早熟结球甘蓝主要叶球性状关联算法模型比较[J].浙江农业学报,2026,38(2):239-247,9.基金项目
青海省科技厅科技成果转化专项(2023-NK-144) （2023-NK-144）
青藏高原种质资源研究与利用实验室(2025)项目 （2025）
