中国农业科学 ›› 2026, Vol. 59 ›› Issue (6): 1302-1316.doi: 10.3864/j.issn.0578-1752.2026.06.012

• 园艺 • 上一篇    下一篇

松花菜种质花球质地品质的评价

陈敏氡(), 裘波音, 黄昊, 李永平, 温庆放()   

  1. 福建省农业科学院作物研究所/福建省蔬菜遗传育种重点实验室/福建省蔬菜工程技术研究中心,福州 350013
  • 收稿日期:2025-10-13 接受日期:2026-01-10 出版日期:2026-03-16 发布日期:2026-03-24
  • 通信作者:
    温庆放,E-mail:
  • 联系方式: 陈敏氡,E-mail:1053870789@qq.com。
  • 基金资助:
    福建省属公益类科研院所基本科研专项(2024R1030006); 福建省农业科学院英才项目(YC2021004); 国家大宗蔬菜产业技术体系福州综合试验站项目(CARS-23-G51); 福建省种业创新与产业化工程项目(zycxny2021009); 福建省农业高质量发展超越“5511”协同创新工程项目(XTCXGC2021003)

Evaluation of Curd Texture Quality in Loose-Curd Cauliflower Germplasm

CHEN MinDong(), QIU BoYin, HUANG Hao, LI YongPing, WEN QingFang()   

  1. Crops Research Institute, Fujian Academy of Agricultural Sciences/Fujian Key Laboratory of Vegetable Genetics and Breeding/ Fujian Engineering Research Center for Vegetables, Fuzhou 350013
  • Received:2025-10-13 Accepted:2026-01-10 Published:2026-03-16 Online:2026-03-24

摘要:

【目的】通过对松花菜种质资源花球质地性状数据的分析,建立统一、客观的松花菜花球质地评价方法,并研究影响花球质地的潜在因素,以期为松花菜食用品质评价和品质育种提供参考。【方法】应用质地多面剖析法(TPA)和感官评价法对166份松花菜种质资源进行评价,获得5种TPA指标(硬度、内聚性、弹性、咀嚼性和回复性)和3种感官评价指标(感官脆度、感官硬度和感官咀嚼性)数据,开展相关性分析和线性回归分析,构建感官评价指标与质地参数间的关系模型,并通过主成分分析、隶属函数分析和聚类分析,建立松花菜花球质地评价数学模型,划分松花菜种质资源的质地类群。进一步分析不同类群松花菜花球的细胞微观结构、细胞壁组分含量的差异,探究影响松花菜花球质地的潜在因素。【结果】8个花球质地指标在不同松花菜种质间差异显著,其中,咀嚼性指标的离散程度最大。感官评价指标与TPA指标之间存在不同程度的正相关性,通过构建二者的线性回归方程,发现硬度在感官质地评价中具有重要预测价值。采用主成分分析提取2个影响松花菜花球质地的主成分,累计贡献率达90.22%,其中,第一主成分主要包括硬度、咀嚼性和弹性,是决定松花菜的适口性的重要参数。建立松花菜花球质地评价数学模型:质地综合得分值C=-2.045+0.017×咀嚼性+3.108×回复性+0.555×弹性+0.010×硬度+1.950×内聚性。依据C值将166份松花菜种质资源分为3种质地类型,第Ⅰ类群花球C值最低(0.01≤C≤0.35),呈现低硬度、咀嚼性差的特征,属绵软型;第Ⅱ类群花球C值居中(0.37≤C≤0.62),质地均衡且适口性良好,属脆嫩型;第Ⅲ类群花球C值最高(0.65≤C≤1.00),表现为较高的硬度、弹性与咀嚼性,属脆弹型。不同质地的松花菜花球在细胞结构和细胞壁成分上存在显著差异,脆弹型松花菜花球细胞圆度较高、结构紧密,纤维素与半纤维素含量较高;脆嫩型松花菜花球细胞形态饱满、结构均匀,其纤维素、半纤维素和可溶性果胶含量比例适中;绵软型松花菜花球则具有明显的细胞孔隙和疏松结构,可溶性果胶含量偏高。【结论】建立松花菜花球质地评价数学模型:C=-2.045+0.017×咀嚼性+3.108×回复性+0.555×弹性+0.010×硬度+1.950×内聚性,划分出不同松花菜花球质地类型的C值范围可用于松花菜种质资源的鉴定,细胞结构和细胞壁组成物质对松花菜花球的质地品质具有重要影响。

关键词: 松花菜, 种质资源, 花球质地评价, 质地多面剖析法, 感官评价法

Abstract:

【Objective】By analyzing the curd texture trait data of loose-curd cauliflower germplasm resources, a unified and objective evaluation method for loose-curd cauliflower curd texture was established. The potential factors affecting curd texture were also studied to provide references for the evaluation of loose-curd cauliflower edible quality and quality breeding. 【Method】Texture Profile Analysis (TPA) and sensory evaluation method were used to evaluate 166 loose-curd cauliflower germplasm resources. Data of 5 TPA indicators (hardness, cohesiveness, springiness, chewiness, resilience) and 3 sensory evaluation indicators (sensory crispness, sensory hardness, sensory chewiness) were obtained. Correlation analysis and linear regression analysis were carried out to construct the relationship model between sensory evaluation indicators and texture parameters. Through principal component analysis, membership function analysis and cluster analysis, a mathematical model for loose-curd cauliflower curd texture evaluation was established, and the texture groups of loose-curd cauliflower germplasm resources were divided. Furthermore, the differences in cell microstructure and cell wall component contents of loose-curd cauliflower curds among different groups were analyzed to explore the potential factors affecting loose-curd cauliflower curd texture. 【Result】Significant differences were observed in eight curd texture indicators among different loose-curd cauliflower germplasms, with chewiness showing the greatest degree of dispersion. Sensory evaluation indicators were positively correlated with TPA indicators to varying extents. By establishing linear regression equations between them, it was found that hardness has important predictive value in sensory texture evaluation. Principal Component Analysis (PCA) extracted two principal components affecting loose-curd cauliflower curd texture, with a cumulative contribution rate of 90.22%. Among them, the first principal component mainly includes hardness, chewiness, and springiness, which are key parameters determining the palatability of loose-curd cauliflower. A mathematical model for evaluating loose-curd cauliflower curd texture was established: Comprehensive texture score C=-2.045+0.017×chewiness+3.108×resilience+0.555×springiness+0.010×hardness+1.950×cohesiveness. Based on the C values, 166 loose-curd cauliflower germplasms were classified into three groups. GroupⅠhad the lowest C values (0.01≤C≤0.35), characterized by low hardness and poor chewiness, and was classified as the soft type; GroupⅡ had moderate C values (0.37≤C≤0.62), with balanced texture and good palatability, and was classified as the crisp-tender type; GroupⅢhad the highest C values (0.65≤C≤1.00), exhibiting high hardness and chewiness, and was classified as the crisp-springy type. Significant differences in cell structure and cell wall components were detected among cauliflower florets of different textures. The crisp-springy type featured florets with high cell roundness, compact structure, and high contents of cellulose and hemicellulose; the crisp-tender type had florets with plump and uniformly structured cells, and an appropriate ratio of cellulose, hemicellulose, and soluble pectin contents; the soft type displayed florets with obvious cell gaps and loose structure, along with a higher soluble pectin content. 【Conclusion】A mathematical model for loose-curd cauliflower curd texture evaluation was established: C=-2.045+0.017×chewiness+3.108×resilience+0.555×springiness+0.010×hardness+1.950×cohesiveness. The C value ranges dividing different loose-curd cauliflower curd texture types can be used for the identification of loose-curd cauliflower germplasm resources. It was also found that cell structure and cell wall components have important effects on the texture quality of loose-curd cauliflower curds.

Key words: loose-curd cauliflower, germplasm resources, curd texture evaluation, texture profile analysis (TPA), sensory evaluation method