Exploratory data inference for detecting mastitis in dairy cattle
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| Format: | Artículo científico |
| Language: | en |
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Universidade Estadual de Maringá
2020
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| author | Rodes Angelo Batista da Silva |
| author_facet | Rodes Angelo Batista da Silva |
| contents | Exploratory data inference for detecting mastitis in dairy cattle Rodes Angelo Batista da Silva Héliton Pandorfi Gledson Luiz Pontes de Almeida Marcos Vinícius da Silva Agrociencias images lactating cows Multivariate analysis The aim of this study was to employ the principal component technique to physiological data and environmental thermohygrometric variables correlated with detection of clinical and subclinical mastitis in dairy cattle. A total of 24 lactating Girolando cows with different clinical conditions were selected (healthy, and with clinical or subclinical mastitis). The following physiological variables were recorded: udder surface temperature, ST (°C); eyeball temperature, ET (°C); rectum temperature, RT (°C); respiratory frequency, RF (mov. min-1). Thermohygrometric variables included air temperature, AirT (°C), and relative humidity, RU (%). ST was determined by means of thermal images, with four images per animal, on these quarters: front left side (FL), front right side (FR), rear right side (RR) and rear left side (RL), totaling 96 images. Exploratory data analysis was run through multivariate statistical technique with the employment of principal components, comprehending nine variables: ST on the FL, FR, RL and RR quarters; ET, RT; RF, AirT and RU. The representative quarters of the animals with clinical and subclinical mastitis showed udder temperatures 8.55 and 2.46° C higher than those of healthy animals, respectively. The ETs of the animals with subclinical and clinical mastitis were, respectively, 7.9 and 8.0% higher than those of healthy animals. Rectum temperatures were 2.9% (subclinical mastitis) and 5.5% (clinical mastitis) higher compared to those of healthy animals. Respiratory frequencies were 40.3% (subclinical mastitis) and 61.6% (clinical mastitis) higher compared to those of healthy animals. The first component explained 91% of the total variance for the variables analyzed. The principal component technique allowed verifying the variables correlated with the animals' clinical condition and the degree of dependence between the study variables. 2020 artículo científico 1806-2636 https://www.redalyc.org/articulo.oa?id=303162575021 https://www.redalyc.org/journal/3031/303162575021/ https://www.redalyc.org/journal/3031/303162575021/html/ https://www.redalyc.org/journal/3031/303162575021/303162575021.epub https://www.redalyc.org/journal/3031/303162575021/movil 10.4025/actascianimsci.v42i1.46394 en http://www.redalyc.org/revista.oa?id=3031 Acta Scientiarum. Animal Sciences application/pdf Universidade Estadual de Maringá Acta Scientiarum. Animal Sciences (Brasil) Vol.42 |
| format | Artículo científico |
| id | redalyc_303162575021 |
| institution | Redalyc |
| language | en |
| publishDate | 2020 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Exploratory data inference for detecting mastitis in dairy cattle Rodes Angelo Batista da Silva Agrociencias images lactating cows Multivariate analysis Exploratory data inference for detecting mastitis in dairy cattle Rodes Angelo Batista da Silva Héliton Pandorfi Gledson Luiz Pontes de Almeida Marcos Vinícius da Silva Agrociencias images lactating cows Multivariate analysis The aim of this study was to employ the principal component technique to physiological data and environmental thermohygrometric variables correlated with detection of clinical and subclinical mastitis in dairy cattle. A total of 24 lactating Girolando cows with different clinical conditions were selected (healthy, and with clinical or subclinical mastitis). The following physiological variables were recorded: udder surface temperature, ST (°C); eyeball temperature, ET (°C); rectum temperature, RT (°C); respiratory frequency, RF (mov. min-1). Thermohygrometric variables included air temperature, AirT (°C), and relative humidity, RU (%). ST was determined by means of thermal images, with four images per animal, on these quarters: front left side (FL), front right side (FR), rear right side (RR) and rear left side (RL), totaling 96 images. Exploratory data analysis was run through multivariate statistical technique with the employment of principal components, comprehending nine variables: ST on the FL, FR, RL and RR quarters; ET, RT; RF, AirT and RU. The representative quarters of the animals with clinical and subclinical mastitis showed udder temperatures 8.55 and 2.46° C higher than those of healthy animals, respectively. The ETs of the animals with subclinical and clinical mastitis were, respectively, 7.9 and 8.0% higher than those of healthy animals. Rectum temperatures were 2.9% (subclinical mastitis) and 5.5% (clinical mastitis) higher compared to those of healthy animals. Respiratory frequencies were 40.3% (subclinical mastitis) and 61.6% (clinical mastitis) higher compared to those of healthy animals. The first component explained 91% of the total variance for the variables analyzed. The principal component technique allowed verifying the variables correlated with the animals' clinical condition and the degree of dependence between the study variables. 2020 artículo científico 1806-2636 https://www.redalyc.org/articulo.oa?id=303162575021 https://www.redalyc.org/journal/3031/303162575021/ https://www.redalyc.org/journal/3031/303162575021/html/ https://www.redalyc.org/journal/3031/303162575021/303162575021.epub https://www.redalyc.org/journal/3031/303162575021/movil 10.4025/actascianimsci.v42i1.46394 en http://www.redalyc.org/revista.oa?id=3031 Acta Scientiarum. Animal Sciences application/pdf Universidade Estadual de Maringá Acta Scientiarum. Animal Sciences (Brasil) Vol.42 |
| title | Exploratory data inference for detecting mastitis in dairy cattle |
| topic | Agrociencias images lactating cows Multivariate analysis |
| url | https://www.redalyc.org/articulo.oa?id=303162575021 https://www.redalyc.org/journal/3031/303162575021/ https://www.redalyc.org/journal/3031/303162575021/html/ https://www.redalyc.org/journal/3031/303162575021/303162575021.epub https://www.redalyc.org/journal/3031/303162575021/movil |