Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional de Colombia
2019
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| _version_ | 1876454410334240768 |
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| author | W. A. Barragán-Hernández |
| author_facet | W. A. Barragán-Hernández |
| contents | Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia W. A. Barragán-Hernández L. Mahecha-Ledesma J. Angulo-Arizala M. Olivera-Angel Veterinaria Milk quality multivariate analysis river buffalo (Bubalus bubalis) The aim of this study was to classify and characterize the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia based on the fat, protein, and total solid (TS) contents. Using a hierarchical procedure, data on milk from river buffaloes (n = 7,726) and cows (n = 49,330) were filtered and subjected to cluster analysis in order to generate three groups: Normal (N), High quality (HQ) and Poor Quality (PQ). The categorized database was then randomly separated into two sets (training and validation) and a discriminant analysis was applied. In total, 37.3% of river buffalo milk samples were classified as N (6.80% fat, 4.34% protein, and 16.80% TS), 13% as HQ (9.41% fat, 4.93% protein, and 19.50% TS), and 43.7% as PQ (3.95% fat, 3.92% protein, and 13.7% TS). In contrast, 41.8% of cow milk samples were classified as N (3.64% fat, 3.37% protein, 12.42% TS), 41.2% as PQ (2.71% fat, 3.08% protein, and 10.6% TS), and 16.9% as HQ (5.46% fat, 4.01% protein, and 14.82% TS). The discriminant models for both river buffalo and cow milk were able to classify milk in the N and PQ groups with >90% accuracy, and that in the HQ group with >85% accuracy. 2019 artículo científico 0120-2952 https://www.redalyc.org/articulo.oa?id=407660734005 https://www.redalyc.org/journal/4076/407660734005/ https://www.redalyc.org/journal/4076/407660734005/html/ https://www.redalyc.org/journal/4076/407660734005/407660734005.epub https://www.redalyc.org/journal/4076/407660734005/movil 10.15446/rfmvz.v66n1.79401 en http://www.redalyc.org/revista.oa?id=4076 Revista de la Facultad de Medicina Veterinaria y de Zootecnia application/pdf Universidad Nacional de Colombia Revista de la Facultad de Medicina Veterinaria y de Zootecnia (Colombia) Num.1 Vol.66 |
| format | Artículo científico |
| id | redalyc_407660734005 |
| institution | Redalyc |
| language | en |
| publishDate | 2019 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia W. A. Barragán-Hernández Veterinaria Milk quality multivariate analysis river buffalo (Bubalus bubalis) Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia W. A. Barragán-Hernández L. Mahecha-Ledesma J. Angulo-Arizala M. Olivera-Angel Veterinaria Milk quality multivariate analysis river buffalo (Bubalus bubalis) The aim of this study was to classify and characterize the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia based on the fat, protein, and total solid (TS) contents. Using a hierarchical procedure, data on milk from river buffaloes (n = 7,726) and cows (n = 49,330) were filtered and subjected to cluster analysis in order to generate three groups: Normal (N), High quality (HQ) and Poor Quality (PQ). The categorized database was then randomly separated into two sets (training and validation) and a discriminant analysis was applied. In total, 37.3% of river buffalo milk samples were classified as N (6.80% fat, 4.34% protein, and 16.80% TS), 13% as HQ (9.41% fat, 4.93% protein, and 19.50% TS), and 43.7% as PQ (3.95% fat, 3.92% protein, and 13.7% TS). In contrast, 41.8% of cow milk samples were classified as N (3.64% fat, 3.37% protein, 12.42% TS), 41.2% as PQ (2.71% fat, 3.08% protein, and 10.6% TS), and 16.9% as HQ (5.46% fat, 4.01% protein, and 14.82% TS). The discriminant models for both river buffalo and cow milk were able to classify milk in the N and PQ groups with >90% accuracy, and that in the HQ group with >85% accuracy. 2019 artículo científico 0120-2952 https://www.redalyc.org/articulo.oa?id=407660734005 https://www.redalyc.org/journal/4076/407660734005/ https://www.redalyc.org/journal/4076/407660734005/html/ https://www.redalyc.org/journal/4076/407660734005/407660734005.epub https://www.redalyc.org/journal/4076/407660734005/movil 10.15446/rfmvz.v66n1.79401 en http://www.redalyc.org/revista.oa?id=4076 Revista de la Facultad de Medicina Veterinaria y de Zootecnia application/pdf Universidad Nacional de Colombia Revista de la Facultad de Medicina Veterinaria y de Zootecnia (Colombia) Num.1 Vol.66 |
| title | Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia |
| topic | Veterinaria Milk quality multivariate analysis river buffalo (Bubalus bubalis) |
| url | https://www.redalyc.org/articulo.oa?id=407660734005 https://www.redalyc.org/journal/4076/407660734005/ https://www.redalyc.org/journal/4076/407660734005/html/ https://www.redalyc.org/journal/4076/407660734005/407660734005.epub https://www.redalyc.org/journal/4076/407660734005/movil |