NIRS as an alternative method for table grapes Seedlessness sorting
Seedlessness in table grapes is a desirable trait for consumers. Plant growth regulators (PGRs) have been extensively utilized to induce seedlessness. However, the efficacy of these PGRs is not uniformly successful. In addition, the seedlessness is difficult to detect by cutting and counting techniq...
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Elsevier
2025-06-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016124005405 |
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| author | Chaorai Kanchanomai Parichat Theanjumpol Phonkrit Maniwara Sila Kittiwachana Sujitra Funsueb Shintaroh Ohashi Daruni Naphrom |
| author_facet | Chaorai Kanchanomai Parichat Theanjumpol Phonkrit Maniwara Sila Kittiwachana Sujitra Funsueb Shintaroh Ohashi Daruni Naphrom |
| author_sort | Chaorai Kanchanomai |
| collection | DOAJ |
| description | Seedlessness in table grapes is a desirable trait for consumers. Plant growth regulators (PGRs) have been extensively utilized to induce seedlessness. However, the efficacy of these PGRs is not uniformly successful. In addition, the seedlessness is difficult to detect by cutting and counting technique. The shortwave-near infrared spectroscopy (SW-NIRS), coupled with suitable chemometric analysis, is a non-destructive method for sorting and prediction of seedlessness grapes. The NIRS is higher efficiency than original technique in term of accuracy, measuring time and waste reduction. • The SW-NIR spectra of 240 grape berries were recorded. Each reflectance spectrum was acquired in the wavenumber of 3996–12,489 cm−1. After that all grape berries were cut and count for seedlessness sorting.All spectral together with seedlessness sorting were be analysis by chemometrics. • The NIR spectral data were analyzed using principal component analysis (PCA). In addition, supervised self-organizing map (SSOM) and quadratic discriminant analysis (QDA) were applied to classify the seedlessness. • The PCA results represented a negative tendency to classify the seedlessness. Clear classification tendency can be obtained from SOMs. Good predictive results from SSOM were obtained, as it gave a percentage correctly classified of 97.14 and 94.64% for training and test sample sets, respectively. |
| format | Article |
| id | doaj-art-d3e31a58c0e945f18bd3bfdb2206dd8f |
| institution | Kabale University |
| issn | 2215-0161 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj-art-d3e31a58c0e945f18bd3bfdb2206dd8f2025-01-23T05:26:50ZengElsevierMethodsX2215-01612025-06-0114103089NIRS as an alternative method for table grapes Seedlessness sortingChaorai Kanchanomai0Parichat Theanjumpol1Phonkrit Maniwara2Sila Kittiwachana3Sujitra Funsueb4Shintaroh Ohashi5Daruni Naphrom6Graduate School, Chiang Mai University, Chiang Mai 50200, Thailand; Department of Plant and Soil Sciences, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand; Graduate School of Science and Technology, Niigata University, 2-8050 Ikarashi, Niigata 950-2181, JapanPostharvest Technology Research Center, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand; Postharvest Technology Innovation Center, Science Research and Innovation Promotion and Utilization Division, Office of the Ministry of Higher Education, Science, Research and Innovation, Bangkok 10400, ThailandPostharvest Technology Research Center, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand; Postharvest Technology Innovation Center, Science Research and Innovation Promotion and Utilization Division, Office of the Ministry of Higher Education, Science, Research and Innovation, Bangkok 10400, ThailandDepartment of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai 50200, ThailandDepartment of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand; Office of Research Administration, Chiang Mai University, Chiang Mai 50200, ThailandGraduate School of Science and Technology, Niigata University, 2-8050 Ikarashi, Niigata 950-2181, JapanDepartment of Plant and Soil Sciences, Faculty of Agriculture, Chiang Mai University, Chiang Mai 50200, Thailand; Corresponding author.Seedlessness in table grapes is a desirable trait for consumers. Plant growth regulators (PGRs) have been extensively utilized to induce seedlessness. However, the efficacy of these PGRs is not uniformly successful. In addition, the seedlessness is difficult to detect by cutting and counting technique. The shortwave-near infrared spectroscopy (SW-NIRS), coupled with suitable chemometric analysis, is a non-destructive method for sorting and prediction of seedlessness grapes. The NIRS is higher efficiency than original technique in term of accuracy, measuring time and waste reduction. • The SW-NIR spectra of 240 grape berries were recorded. Each reflectance spectrum was acquired in the wavenumber of 3996–12,489 cm−1. After that all grape berries were cut and count for seedlessness sorting.All spectral together with seedlessness sorting were be analysis by chemometrics. • The NIR spectral data were analyzed using principal component analysis (PCA). In addition, supervised self-organizing map (SSOM) and quadratic discriminant analysis (QDA) were applied to classify the seedlessness. • The PCA results represented a negative tendency to classify the seedlessness. Clear classification tendency can be obtained from SOMs. Good predictive results from SSOM were obtained, as it gave a percentage correctly classified of 97.14 and 94.64% for training and test sample sets, respectively.http://www.sciencedirect.com/science/article/pii/S2215016124005405Nondestructive method for seedlessness sorting |
| spellingShingle | Chaorai Kanchanomai Parichat Theanjumpol Phonkrit Maniwara Sila Kittiwachana Sujitra Funsueb Shintaroh Ohashi Daruni Naphrom NIRS as an alternative method for table grapes Seedlessness sorting MethodsX Nondestructive method for seedlessness sorting |
| title | NIRS as an alternative method for table grapes Seedlessness sorting |
| title_full | NIRS as an alternative method for table grapes Seedlessness sorting |
| title_fullStr | NIRS as an alternative method for table grapes Seedlessness sorting |
| title_full_unstemmed | NIRS as an alternative method for table grapes Seedlessness sorting |
| title_short | NIRS as an alternative method for table grapes Seedlessness sorting |
| title_sort | nirs as an alternative method for table grapes seedlessness sorting |
| topic | Nondestructive method for seedlessness sorting |
| url | http://www.sciencedirect.com/science/article/pii/S2215016124005405 |
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