Fruit Quality Evaluation and Optimal Selection of 16 Lines of Feijoa (Acca sellowiana)
In order to comprehensively evaluate the difference in fruit quality among 16 different feijoa lines, this study determined the external and internal quality indicators and antioxidant activities of 16 feijoa lines. Variability analysis, correlation analysis and principal component analysis were use...
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| Format: | Article |
| Language: | English |
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China Food Publishing Company
2025-05-01
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| Series: | Shipin Kexue |
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| Online Access: | https://www.spkx.net.cn/fileup/1002-6630/PDF/2025-46-10-004.pdf |
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| author | YANG Shiqi, LIU Yumin, LIU Yamin, LI Ju, LI Chengxiang, GAO Bingli |
| author_facet | YANG Shiqi, LIU Yumin, LIU Yamin, LI Ju, LI Chengxiang, GAO Bingli |
| author_sort | YANG Shiqi, LIU Yumin, LIU Yamin, LI Ju, LI Chengxiang, GAO Bingli |
| collection | DOAJ |
| description | In order to comprehensively evaluate the difference in fruit quality among 16 different feijoa lines, this study determined the external and internal quality indicators and antioxidant activities of 16 feijoa lines. Variability analysis, correlation analysis and principal component analysis were used to identify core indicators. The weights of these indicators were determined by analytic hierarchy process, and a comprehensive evaluation model for fruit quality was established by grey relational analysis. The accuracy of the model was verified by sensory evaluation. The results indicated a significant variation in fruit quality across feijoa lines. Four core fruit quality indexes were selected, including single fruit mass (X1), juice yield (X2), sugar/acid ratio (X3), and total phenol content (X4). The comprehensive evaluation model was described as follows: weighted grey relational grade = 0.381 0X1 + 0.298 2X2 + 0.210 8X3 + 0.110 0X4. The model results were correlated well with those of sensory evaluation (R2 = 0.869), indicating high accuracy of the model. Two excellent lines, Y4 and Y1, were selected for promotion. The findings provide a reference for the establishment of a comprehensive evaluation system for feijoa quality and offer scientific guidance for feijoa breeding. |
| format | Article |
| id | doaj-art-8c7d83106dbe4039b065c2da00f289b5 |
| institution | Kabale University |
| issn | 1002-6630 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | China Food Publishing Company |
| record_format | Article |
| series | Shipin Kexue |
| spelling | doaj-art-8c7d83106dbe4039b065c2da00f289b52025-08-20T03:25:07ZengChina Food Publishing CompanyShipin Kexue1002-66302025-05-014610313810.7506/spkx1002-6630-20240716-161Fruit Quality Evaluation and Optimal Selection of 16 Lines of Feijoa (Acca sellowiana)YANG Shiqi, LIU Yumin, LIU Yamin, LI Ju, LI Chengxiang, GAO Bingli0(1. College of Resources and Environment, Southwest University, Chongqing 400715, China; 2. Chongqing Hemu Qianli Ecological Agriculture Technology Co. Ltd., Chongqing 402760, China)In order to comprehensively evaluate the difference in fruit quality among 16 different feijoa lines, this study determined the external and internal quality indicators and antioxidant activities of 16 feijoa lines. Variability analysis, correlation analysis and principal component analysis were used to identify core indicators. The weights of these indicators were determined by analytic hierarchy process, and a comprehensive evaluation model for fruit quality was established by grey relational analysis. The accuracy of the model was verified by sensory evaluation. The results indicated a significant variation in fruit quality across feijoa lines. Four core fruit quality indexes were selected, including single fruit mass (X1), juice yield (X2), sugar/acid ratio (X3), and total phenol content (X4). The comprehensive evaluation model was described as follows: weighted grey relational grade = 0.381 0X1 + 0.298 2X2 + 0.210 8X3 + 0.110 0X4. The model results were correlated well with those of sensory evaluation (R2 = 0.869), indicating high accuracy of the model. Two excellent lines, Y4 and Y1, were selected for promotion. The findings provide a reference for the establishment of a comprehensive evaluation system for feijoa quality and offer scientific guidance for feijoa breeding.https://www.spkx.net.cn/fileup/1002-6630/PDF/2025-46-10-004.pdffeijoa; fruit quality; analytic hierarchy process; grey relational analysis; comprehensive evaluation |
| spellingShingle | YANG Shiqi, LIU Yumin, LIU Yamin, LI Ju, LI Chengxiang, GAO Bingli Fruit Quality Evaluation and Optimal Selection of 16 Lines of Feijoa (Acca sellowiana) Shipin Kexue feijoa; fruit quality; analytic hierarchy process; grey relational analysis; comprehensive evaluation |
| title | Fruit Quality Evaluation and Optimal Selection of 16 Lines of Feijoa (Acca sellowiana) |
| title_full | Fruit Quality Evaluation and Optimal Selection of 16 Lines of Feijoa (Acca sellowiana) |
| title_fullStr | Fruit Quality Evaluation and Optimal Selection of 16 Lines of Feijoa (Acca sellowiana) |
| title_full_unstemmed | Fruit Quality Evaluation and Optimal Selection of 16 Lines of Feijoa (Acca sellowiana) |
| title_short | Fruit Quality Evaluation and Optimal Selection of 16 Lines of Feijoa (Acca sellowiana) |
| title_sort | fruit quality evaluation and optimal selection of 16 lines of feijoa acca sellowiana |
| topic | feijoa; fruit quality; analytic hierarchy process; grey relational analysis; comprehensive evaluation |
| url | https://www.spkx.net.cn/fileup/1002-6630/PDF/2025-46-10-004.pdf |
| work_keys_str_mv | AT yangshiqiliuyuminliuyaminlijulichengxianggaobingli fruitqualityevaluationandoptimalselectionof16linesoffeijoaaccasellowiana |