Internal browning detection in red-flesh apple (Malus domestica) using image analysis and acoustic signal-based detection
Uncorrelating red-flesh color and internal browning is a breeding target in the selection of red-flesh elite apple cultivars, and accurate phenotyping methods are needed to study the genetic architecture associated with internal browning. Image analysis combined with machine learning and two-stage d...
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| Format: | Article |
| Language: | English |
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Maximum Academic Press
2025-01-01
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| Series: | Fruit Research |
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| Online Access: | https://www.maxapress.com/article/doi/10.48130/frures-0025-0002 |
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| author | Pierre Bouillon Etienne Belin Anne-Laure Fanciullino Sylvain Hanteville Yao Letekoma Frédéric Bernard Jean-Marc Celton |
| author_facet | Pierre Bouillon Etienne Belin Anne-Laure Fanciullino Sylvain Hanteville Yao Letekoma Frédéric Bernard Jean-Marc Celton |
| author_sort | Pierre Bouillon |
| collection | DOAJ |
| description | Uncorrelating red-flesh color and internal browning is a breeding target in the selection of red-flesh elite apple cultivars, and accurate phenotyping methods are needed to study the genetic architecture associated with internal browning. Image analysis combined with machine learning and two-stage data acquisition enabled the detection of seven QTLs for brown-related traits on LG1, LG9, and LG10 in four interconnected red-flesh F1 families. A major QTL on LG10, which colocalized with a polyphenol oxidase (PPO), was linked to early internal browning susceptibility. However, internal browning is a temporal and spatial process that involves biochemical (PPO-mediated phenolic oxidation) and structural (cellular integrity) factors. Non-destructive and accurate methods are required to evaluate internal browning throughout fruit senescence. For this purpose, acoustic signal-based detection of internal browning in red-flesh apple was investigated in one red-flesh parent. Machine learning models showed good accuracy in discriminating 'brown' and 'non-brown' signals. cGAN data augmentation outperformed model performances suggesting that extended datasets should lead to better accuracy in internal browning detection. This study shows that acoustic measurement could be a valuable non-destructive tool to discriminate between brown and non-brown apples with potential applications for phenomic selection and/or automatic apple sorting. Altogether, this study provides insights into internal browning physiology in red-flesh apple with future applications in red-flesh breeding. |
| format | Article |
| id | doaj-art-564faadc8ef44861b72a6d7a1a836e4c |
| institution | DOAJ |
| issn | 2769-4615 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Maximum Academic Press |
| record_format | Article |
| series | Fruit Research |
| spelling | doaj-art-564faadc8ef44861b72a6d7a1a836e4c2025-08-20T03:18:54ZengMaximum Academic PressFruit Research2769-46152025-01-015111010.48130/frures-0025-0002frures-0025-0002Internal browning detection in red-flesh apple (Malus domestica) using image analysis and acoustic signal-based detectionPierre Bouillon0Etienne Belin1Anne-Laure Fanciullino2Sylvain Hanteville3Yao Letekoma4Frédéric Bernard5Jean-Marc Celton6L'Institut Agro, Université d'Angers, INRAE, IRHS, SFR QUASAV, F-49000 Angers, FranceL'Institut Agro, Université d'Angers, INRAE, IRHS, SFR QUASAV, F-49000 Angers, FranceL'Institut Agro, Université d'Angers, INRAE, IRHS, SFR QUASAV, F-49000 Angers, FranceL'Institut Agro, Université d'Angers, INRAE, IRHS, SFR QUASAV, F-49000 Angers, FranceL'Institut Agro, Université d'Angers, INRAE, IRHS, SFR QUASAV, F-49000 Angers, FranceIFO, 49140, Seiches sur le Loir, FranceL'Institut Agro, Université d'Angers, INRAE, IRHS, SFR QUASAV, F-49000 Angers, FranceUncorrelating red-flesh color and internal browning is a breeding target in the selection of red-flesh elite apple cultivars, and accurate phenotyping methods are needed to study the genetic architecture associated with internal browning. Image analysis combined with machine learning and two-stage data acquisition enabled the detection of seven QTLs for brown-related traits on LG1, LG9, and LG10 in four interconnected red-flesh F1 families. A major QTL on LG10, which colocalized with a polyphenol oxidase (PPO), was linked to early internal browning susceptibility. However, internal browning is a temporal and spatial process that involves biochemical (PPO-mediated phenolic oxidation) and structural (cellular integrity) factors. Non-destructive and accurate methods are required to evaluate internal browning throughout fruit senescence. For this purpose, acoustic signal-based detection of internal browning in red-flesh apple was investigated in one red-flesh parent. Machine learning models showed good accuracy in discriminating 'brown' and 'non-brown' signals. cGAN data augmentation outperformed model performances suggesting that extended datasets should lead to better accuracy in internal browning detection. This study shows that acoustic measurement could be a valuable non-destructive tool to discriminate between brown and non-brown apples with potential applications for phenomic selection and/or automatic apple sorting. Altogether, this study provides insights into internal browning physiology in red-flesh apple with future applications in red-flesh breeding.https://www.maxapress.com/article/doi/10.48130/frures-0025-0002red-fleshinternal browningqtl analysisacoustic analysisapple geneticsmalus domestica |
| spellingShingle | Pierre Bouillon Etienne Belin Anne-Laure Fanciullino Sylvain Hanteville Yao Letekoma Frédéric Bernard Jean-Marc Celton Internal browning detection in red-flesh apple (Malus domestica) using image analysis and acoustic signal-based detection Fruit Research red-flesh internal browning qtl analysis acoustic analysis apple genetics malus domestica |
| title | Internal browning detection in red-flesh apple (Malus domestica) using image analysis and acoustic signal-based detection |
| title_full | Internal browning detection in red-flesh apple (Malus domestica) using image analysis and acoustic signal-based detection |
| title_fullStr | Internal browning detection in red-flesh apple (Malus domestica) using image analysis and acoustic signal-based detection |
| title_full_unstemmed | Internal browning detection in red-flesh apple (Malus domestica) using image analysis and acoustic signal-based detection |
| title_short | Internal browning detection in red-flesh apple (Malus domestica) using image analysis and acoustic signal-based detection |
| title_sort | internal browning detection in red flesh apple malus domestica using image analysis and acoustic signal based detection |
| topic | red-flesh internal browning qtl analysis acoustic analysis apple genetics malus domestica |
| url | https://www.maxapress.com/article/doi/10.48130/frures-0025-0002 |
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