中国农业科学 ›› 2023, Vol. 56 ›› Issue (10): 1949-1965.doi: 10.3864/j.issn.0578-1752.2023.10.011

• 园艺 • 上一篇    下一篇

不同产区纽荷尔脐橙橘园果实综合品质评价与适宜区域筛选

陈志敏1(), 陈晓林1, 谭振华2, 陈兆星3, 谌丹丹4, 马岩岩1, 郑永强1(), 易时来1, 吕强1, 谢让金1   

  1. 1 西南大学/中国农业科学院柑桔研究所/国家柑橘工程技术研究中心/国家数字种植业(柑橘)创新分中心,重庆 400712
    2 湘南脐橙综合试验站,湖南宜章 424200
    3 赣州市柑桔科学研究所,江西赣州 341000
    4 宜昌市农业科学研究院,湖北宜昌 443000
  • 收稿日期:2022-06-20 接受日期:2022-08-24 出版日期:2023-05-16 发布日期:2023-05-17
  • 通信作者: 郑永强,Tel:023-68349726;E-mail:zhengyq@swu.edu.cn
  • 联系方式: 陈志敏,E-mail:1121303983@qq.com。
  • 基金资助:
    国家重点研发计划(2020YFD1000101); 国家自然科学基金(31972991); 西南大学先导计划项目(SWU-XDZD22004); 国家现代农业产业技术体系建设专项资金(CARS-26); 重庆市智慧柑橘专项课题(cstc2019jscx-gksbX0089); 四川省转移支付项目(2018NZYZF0103)

Comprehensive Fruit Quality Evaluation and Suitable Areas Selection of Newhall Navel Orange in China

CHEN ZhiMin1(), CHEN XiaoLin1, TAN ZhenHua2, CHEN ZhaoXing3, SHEN DanDan4, MA YanYan1, ZHENG YongQiang1(), YI ShiLai1, LÜ Qiang1, XIE RangJin1   

  1. 1 National Engineering Research Center for Citrus Technology, National Digital Planting (Citrus) Innovation Sub-Center, Citrus Research Institute, Southwest University-Chinese Academy of Agricultural Sciences, Chongqing 400712
    2 Comprehensive Experimental Station of Norval Sweet Orange in Xiangnan, Yizhang 424200, Hunan
    3 Ganzhou Citrus Research Institute, Ganzhou 341000, Jiangxi
    4 YiChang Academy of Agricultural Science, Yichang 443000, Hubei
  • Received:2022-06-20 Accepted:2022-08-24 Published:2023-05-16 Online:2023-05-17

摘要:

【目的】建立我国不同纽荷尔脐橙产区果实品质综合评价模型,阐明不同产区果实品质综合等级和对应的气象特征,为我国柑橘生态环境适应性和品种适地栽培提供一定的参考依据。【方法】于我国不同生态环境的23个纽荷尔脐橙果园,通过测定果实外观、内在品质指标,运用相关分析、主成分分析及聚类分析筛选出核心指标,分别结合层次分析法、主成分权重法及模糊综合评价建立果实品质综合评价算法模型,结合感官品质评价确定最佳算法模型和果实等级划分阈值,并对算法模型进行验证,同时探明不同产区纽荷尔脐橙果实品质综合等级和对应生态因子特征。【结果】23个纽荷尔脐橙果园的果实综合品质表现出明显的区域特征,赣南、湘南可溶性固形物及固酸比高;湘西、长江中上游外观综合色泽好、可滴定酸高。各品质指标间呈不同程度相关,主成分分析结合聚类分析筛选出5个核心指标为综合色泽指数、单果重、可溶性固形物、固酸比、维生素C含量;同时,筛选出与感官品质指数拟合度最佳的果实品质综合评价模型为层次分析法模型:Y(综合值)= 0.06×综合色泽指数+0.26×单果重+0.16×可溶性固形物含量+0.42×固酸比+0.11×维生素C含量(标准化值)。利用上述模型将不同产区纽荷尔脐橙果园果实品质综合指标进行排序,确定等级划分阈值:≥0.60为一等果园,主要集中于赣南、湘南及粤东区域,具有活动积温、有效积温、日照时数及地表温度最高的特征;0.45—0.60为二等果园,主要集中在桂北、闽西,表现为热量积累和降雨量较高的特征;0.30—0.45为三等果园,主要包含湘西及长江中上游区域,具备降雨量和热量积累都偏少的特征;<0.30为四等果园,主要分布在浙南,拥有降雨量最多的特征。【结论】通过主成分分析进行柑橘果实品质综合核心指标筛选,结合各主成分特征值实现判断矩阵自动赋值,构建的纽荷尔脐橙果实综合评价层次分析法模型效果最佳,且不同等级的果园生态因子差异明显。上述结果为构建基于不同生态环境柑橘品种适应性的“适地适栽”决策系统研发提供了算法和数据支持。

关键词: 纽荷尔脐橙, 果实品质, 综合评价, 环境适应性

Abstract:

【Objective】This study aimed to establish a comprehensive evaluation model in fruit quality, clarify the comprehensive grade of fruit quality and their corresponding meteorological characteristics from different Newhall Navel orange (Citrus sinensis [L.] Osb. cv. Newhall) orchards in China, so as to provide a reference for the ecological environment adaptability and suitable planting.【Method】Twenty three Newhall orchards in different ecological environments of China were selected to measure fruit external and internal quality indicators. Correlation analysis, principal component analysis and cluster analysis were used to identify the core indicators, and the comprehensive evaluation models of fruit quality were established by analytic hierarchy process (AHP), principal component analysis (PCA) and fuzzy comprehensive appraisal (FCA), respectively. The optimal algorithm model and fruit grade classification threshold were determined and verified with sensory quality evaluation. Meanwhile, the comprehensive quality grades and the characteristics of corresponding ecological factors of Newhall navel orange fruit from different producing areas were explored.【Result】The fruit comprehensive quality of 23 Newhall orchards showed obvious regional characteristics. The fruit in southern Jiangxi and southern Hunan had higher total soluble solid and solid acid ratio, while the fruit in western Hunan and the upper and middle reaches of the Yangtze River had better fruit external color indexes and higher titratable acid. The quality indexes were correlated to varying degrees. Five core indexes were selected by principal component analysis combined with cluster analysis, including comprehensive color index, fruit weight, soluble solids, solid acid ratio, and vitamin C content. At the same time, AHP model was determined as the comprehensive evaluation model of fruit quality with the best fitting degree of sensory quality index: Y (comprehensive value) = 0.06× comprehensive color index + 0.26× single fruit weight +0.16× soluble solid content +0.42× solid acid ratio +0.11× vitamin C content (standardized value). The comprehensive fruit quality indicators of different Newhall orchards were ranked, and the classification threshold was determined as follows: ≥0.60 was the first-class orchards, mainly concentrated in southern Jiangxi, southern Hunan and eastern Guangdong, with active accumulated temperature, effective accumulated temperature, maximum sunshine hours and surface temperature; 0.45-0.60 was the second-class orchards, mainly concentrated in northern Guangxi and western Fujian, characterized by higher temperature accumulation and rainfall; 0.30-0.45 was the third-class orchards, mainly concentrated in western Hunan and the middle and upper reaches of the Yangtze River, with relatively lower rainfall and temperature accumulation; <0.30 was the fourth-class orchards, mainly distributed in southern Zhejiang, with the highest rainfall.【Conclusion】The core indicators of the comprehensive quality of citrus fruits were identified by PCA, and the AHP model with the optimal for the Newhall fruit comprehensive evaluation by combining the eigenvalues of each principal component to achieve automatic assignment of AHP judgment matrix. The ecological factors of different grades of orchards were significantly different. These results provided algorithms and data support for the development of the decision system based on "suitable planting" of citrus varieties in different ecological environment.

Key words: Newhall navel orange, fruit quality, comprehensive evaluation, environmental adaptability