新疆农业科学 ›› 2025, Vol. 62 ›› Issue (6): 1408-1420.DOI: 10.6048/j.issn.1001-4330.2025.06.013

• 园艺特产·农产品加工工程 • 上一篇    下一篇

杏李‘恐龙蛋’果实不同成熟度的判定方法分析

王如月1,2(), 罗莎莎1,2, 甄紫怡1,2, 徐业勇3, 虎海防3(), 王俊武4()   

  1. 1.新疆农业大学林学与风景园林学院,乌鲁木齐 830052
    2.新疆佳木果树学国家长期科研基地,新疆阿克苏 843100
    3.新疆林业科学院,乌鲁木齐 830062
    4.新疆维吾尔自治区林业重点工程质量管理总站,乌鲁木齐 830062
  • 收稿日期:2024-10-29 出版日期:2025-06-20 发布日期:2025-07-29
  • 通信作者: 虎海防(1975-),男,研究员,研究方向为果树种质资源与栽培生理,(E-mail)43784936@qq.com;
    王俊武(1967-),男,高级工程师,研究方向为林果种质资源收集及林产品质量检验,(E-mail)wangjunwu001@163.com
  • 作者简介:王如月(1996-),女,硕士研究生,研究方向为森林培育,(E-mail)1547093665@qq.com
  • 基金资助:
    新疆维吾尔自治区重点研发计划项目(2023B02026);中央引导地方科技发展专项资金项目(ZYYD2022B15)

Study on methods for judging different maturity of prunus domestica × armeniaca ‘Konglongdan’ fruits

WANG Ruyue1,2(), LUO Shasha1,2, ZHEN Ziyi1,2, XU Yeyong3, HU Haifang3(), WANG Junwu4()   

  1. 1. College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi 830052, China
    2. National Long-Term Scientific Research Base of Xinjiang Jiamu Fruit Arboriculture, Aksu Xinjiang 843100, Xinjiang
    3. Xinjiang Academy of Forestry Sciences, Urumqi 830062,China
    4. Xinjiang Uygur Autonomous Region Forestry Major Project Quality Management Main Station,Urumqi 830052,China
  • Received:2024-10-29 Published:2025-06-20 Online:2025-07-29
  • Supported by:
    The Key Scientific R&D Program Project of the Autonomous Region in 2023(2023B02026);The 2022 Special Project for the Development of Local Science and Technology Guided by the Central Government(ZYYD2022B15)

摘要:

【目的】分析判定杏李‘恐龙蛋’不同成熟度分级方法和标准,为杏李成熟度的评价提供度量的依据。【方法】在2022~2023年从果实转色期至果实完全成熟连续21个采样时期测定果实带皮硬度、去皮硬度、平均单果重等指标,对不同成熟度品质指标和色度指标进行量化。【结果】单果重、去皮硬度、带皮硬度、固酸比、果皮黄蓝值b*、果皮色泽比a*/b*、果肉亮度值L*和果肉红绿值a*为对‘恐龙蛋’成熟度影响较大的指标,根据果实不同生长发育期可分为5个成熟度,分别为六成熟、七成熟、八成熟、九成熟和十成熟。二者累计贡献率达96.30%,判别正确率达95.20%。【结论】‘恐龙蛋’不同成熟度判定方法和标准,若想准确、科学地对果实不同成熟度进行区分,首先参照果实外观颜色‘比色卡’和果实盛花期后天数区分不同采收成熟度,其次可通过测定果实色度指标和品质指标并参考量化范围,进一步判定果实成熟度。在进行成熟度区分时,若果实外观和各指标因外界和内部因素有2~3项达不到下表成熟度分级要求,参照剩余指标也可判定杂交杏李果实采收成熟度。

关键词: 杏李; ‘恐龙蛋’; 果实颜色; 成熟度; 聚类; 主成分; 等级划分

Abstract:

【Objective】 To accurately determine the grading methods and standards for different maturity levels of Prunus domestica × armeniaca ‘Konglongdan’. This finding can provide a metric basis for evaluating the maturity of Prunus domestica × armeniaca. 【Methods】 This study measured indicators such as fruit peel hardness, peel hardness, and average single fruit weight during 21 consecutive sampling periods from fruit color transition to complete fruit maturity from 2022 to 2023. Meanwhile, different maturity quality indicators and chromaticity indicators were quantified. 【Results】 Principal component screening and maturity clustering analysis were conducted on physiological indicators such as fruit hardness and single fruit weight. It was found that single fruit weight, peel hardness, peel hardness, solid acid ratio, peel yellow blue value b*, peel color ratio a*/b*, flesh brightness value L*, and flesh red green value a* were the indicators that had a significant impact on the maturity of ‘Konglongdan’. According to different growth and development stages of the fruit, it was divided into five maturity levels, namely 60% maturity, 70% maturity, 80% maturity, 90% maturity, and 100% maturity. The cumulative contribution rate of the two was 96.30%, and the discrimination accuracy was 95.20%. 【Conclusion】 The conclusion indicates that different methods and standards for determining the maturity of ‘Konglongdan’ can be used to accurately and scientifically distinguish different ripeness levels of fruits. Firstly, referring to the ‘color chart’ of fruit appearance and the number of days after the fruit flowering period can be used to distinguish different harvest ripeness levels. Secondly, by measuring the fruit color and quality indicators and referring to the quantitative range, the fruit maturity level can be further determined. When distinguishing maturity, if there are 2-3 items in the appearance and various indicators of the fruit that cannot meet the maturity grading requirements in the table due to external and internal factors, the harvest maturity of hybrid Prunus domestica × armeniaca fruits can also be determined by referring to the remaining indicators.

Key words: Prunus domestica × armeniaca; ‘Konglongdan’; fruit color; maturity; cluster analysis; principal component analysis; gradation

中图分类号: 


ISSN 1001-4330 CN 65-1097/S
邮发代号:58-18
国外代号:BM3342
主管:新疆农业科学院
主办:新疆农业科学院 新疆农业大学 新疆农学会

出版单位:《新疆农业科学》编辑部
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