Non-parametric analysis of the effects of nongenetic factors on milk yield, fat, protein, lactose, dry matter content and somatic cell count in Murciano-Granadina goats
The objective of this work was to evaluate the influence of non-genetic factors on milk yield, its composition (fat, protein, dry matter and lactose) and the count of somatic cells in Murciano-Granadina goat breed, through the application of alternative nonparametric tests to routine parametric test...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-12-01
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| Series: | Italian Journal of Animal Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/1828051X.2020.1809538 |
| _version_ | 1819156107441995776 |
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| author | M. G. Pizarro V. Landi F. J. Navas J. M. León A. Martínez J. Fernández J. V. Delgado |
| author_facet | M. G. Pizarro V. Landi F. J. Navas J. M. León A. Martínez J. Fernández J. V. Delgado |
| author_sort | M. G. Pizarro |
| collection | DOAJ |
| description | The objective of this work was to evaluate the influence of non-genetic factors on milk yield, its composition (fat, protein, dry matter and lactose) and the count of somatic cells in Murciano-Granadina goat breed, through the application of alternative nonparametric tests to routine parametric tests to explain the variability found in the population with respect the aforementioned traits. 2594 milk yield and composition records belonging to 159 goats from the selection nucleus were analysed. Predictors evaluated were farm, type of birth and parity order, live kids, parturition month, season and year, control number, control type, control month, season and year, days in lactation, days from first control, days from last control to drying, drying month, season and year. All of them presented a significant influence (p < .0001) on all the variables studied with the exception of the number of stillborn kids which did not significantly influence the percentage of each component and the year of drying which seemed not to significantly influence dry matter percentage. Conclusively, nongenetic factors affect milk yield and its compositions in the Murciano-Granadina goat breed. Additionally, the inclusion of the type of milk control and information related to the drying period in models predicting for milk yield and content may provide interesting information, which must be included in genetic evaluations to promote higher and better-quality milk production improving the profitability of autochthonous breeds.HIGHLIGHTS Non-genetic factors may affect milk components more than milk yield. Including factors related to lactation cycle can help identifying critical points. Drying-off period information promotes milk yield and quality. Studying nongenetic factors helps maximising milk predictive model potential. Factor combinations studied explain up to 41.8% of variability of milk yield. |
| first_indexed | 2024-12-22T15:47:37Z |
| format | Article |
| id | doaj.art-9ddc8d3e43f3438c9696117fcb74f4de |
| institution | Directory Open Access Journal |
| issn | 1594-4077 1828-051X |
| language | English |
| last_indexed | 2024-12-22T15:47:37Z |
| publishDate | 2020-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Italian Journal of Animal Science |
| spelling | doaj.art-9ddc8d3e43f3438c9696117fcb74f4de2022-12-21T18:20:58ZengTaylor & Francis GroupItalian Journal of Animal Science1594-40771828-051X2020-12-0119196097310.1080/1828051X.2020.18095381809538Non-parametric analysis of the effects of nongenetic factors on milk yield, fat, protein, lactose, dry matter content and somatic cell count in Murciano-Granadina goatsM. G. Pizarro0V. Landi1F. J. Navas2J. M. León3A. Martínez4J. Fernández5J. V. Delgado6Departamento de Genética, Facultad de Veterinaria, Universidad de CórdobaDipartimento di Medicina Veterinaria, Università degli studi di Bari “Aldo Moro”Departamento de Genética, Facultad de Veterinaria, Universidad de CórdobaCentro Agropecuario Provincial de Córdoba, Diputación Provincial de CórdobaDepartamento de Genética, Facultad de Veterinaria, Universidad de CórdobaAsociación Nacional de Criadores de Caprino de Raza Murciano-GranadinaDepartamento de Genética, Facultad de Veterinaria, Universidad de CórdobaThe objective of this work was to evaluate the influence of non-genetic factors on milk yield, its composition (fat, protein, dry matter and lactose) and the count of somatic cells in Murciano-Granadina goat breed, through the application of alternative nonparametric tests to routine parametric tests to explain the variability found in the population with respect the aforementioned traits. 2594 milk yield and composition records belonging to 159 goats from the selection nucleus were analysed. Predictors evaluated were farm, type of birth and parity order, live kids, parturition month, season and year, control number, control type, control month, season and year, days in lactation, days from first control, days from last control to drying, drying month, season and year. All of them presented a significant influence (p < .0001) on all the variables studied with the exception of the number of stillborn kids which did not significantly influence the percentage of each component and the year of drying which seemed not to significantly influence dry matter percentage. Conclusively, nongenetic factors affect milk yield and its compositions in the Murciano-Granadina goat breed. Additionally, the inclusion of the type of milk control and information related to the drying period in models predicting for milk yield and content may provide interesting information, which must be included in genetic evaluations to promote higher and better-quality milk production improving the profitability of autochthonous breeds.HIGHLIGHTS Non-genetic factors may affect milk components more than milk yield. Including factors related to lactation cycle can help identifying critical points. Drying-off period information promotes milk yield and quality. Studying nongenetic factors helps maximising milk predictive model potential. Factor combinations studied explain up to 41.8% of variability of milk yield.http://dx.doi.org/10.1080/1828051X.2020.1809538dairy goatsenvironmental predictorsnon-parametric analysislocal breedmilk yield and composition |
| spellingShingle | M. G. Pizarro V. Landi F. J. Navas J. M. León A. Martínez J. Fernández J. V. Delgado Non-parametric analysis of the effects of nongenetic factors on milk yield, fat, protein, lactose, dry matter content and somatic cell count in Murciano-Granadina goats Italian Journal of Animal Science dairy goats environmental predictors non-parametric analysis local breed milk yield and composition |
| title | Non-parametric analysis of the effects of nongenetic factors on milk yield, fat, protein, lactose, dry matter content and somatic cell count in Murciano-Granadina goats |
| title_full | Non-parametric analysis of the effects of nongenetic factors on milk yield, fat, protein, lactose, dry matter content and somatic cell count in Murciano-Granadina goats |
| title_fullStr | Non-parametric analysis of the effects of nongenetic factors on milk yield, fat, protein, lactose, dry matter content and somatic cell count in Murciano-Granadina goats |
| title_full_unstemmed | Non-parametric analysis of the effects of nongenetic factors on milk yield, fat, protein, lactose, dry matter content and somatic cell count in Murciano-Granadina goats |
| title_short | Non-parametric analysis of the effects of nongenetic factors on milk yield, fat, protein, lactose, dry matter content and somatic cell count in Murciano-Granadina goats |
| title_sort | non parametric analysis of the effects of nongenetic factors on milk yield fat protein lactose dry matter content and somatic cell count in murciano granadina goats |
| topic | dairy goats environmental predictors non-parametric analysis local breed milk yield and composition |
| url | http://dx.doi.org/10.1080/1828051X.2020.1809538 |
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