Fuzzy system to predict physiological responses of Holstein cows in southeastern Brazil
Background:thermal environment exerts a direct influence on animal performance. Environmental factors, in different circumstances, may affect milk production and fertility of animals, compromising the profitability of the activity. Under heat stress conditions dairy cows reduce feed intake and, cons...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2015-03-01
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| Series: | Revista Colombiana de Ciencias Pecuarias |
| Subjects: | |
| Online Access: | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-06902015000100005&lng=en&tlng=en |
| _version_ | 1818854344759443456 |
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| author | Oscar D Múnera Bedoya Tadayuki Yanagi Junior Maria F Ávila Pires Marcos Aurélio Lopes Renato Ribeiro de Lima |
| author_facet | Oscar D Múnera Bedoya Tadayuki Yanagi Junior Maria F Ávila Pires Marcos Aurélio Lopes Renato Ribeiro de Lima |
| author_sort | Oscar D Múnera Bedoya |
| collection | DOAJ |
| description | Background:thermal environment exerts a direct influence on animal performance. Environmental factors, in different circumstances, may affect milk production and fertility of animals, compromising the profitability of the activity. Under heat stress conditions dairy cows reduce feed intake and, consequently, milk production. Sweating and panting are some of the mechanisms these animals use to relieve thermal stress. In addition, animals often suffer physiological and behavioral changes caused by heat stress.Objective: the goal of the present study was to develop and evaluate a model based on fuzzy set theory to predict rectal temperature (°C), and respiratory rate (breaths per minute) responses of Holstein cows exposed to different environmental thermal conditions. Methods: the proposed fuzzy model was based on data obtained experimentally (5,884 records) as well as from the literature (792 records) referring to the effect of environmental variables on both physiological responses. Input variables of each record were dry bulb air temperature and relative humidity. Output variables were rectal temperature and respiratory rate. Results: the adjusted model was evaluated for its ability to predict response variables as a function of input variables. The model was able to predict respiration rate with an average standard error of 7.73 and rectal temperature with an average standard error of 0.27. Conclusion: a fuzzy model was developed to predict physiological responses. The error (%) of model prediction for respiration rate and rectal temperature was +/- 12 and 0.5%, respectively. |
| first_indexed | 2024-12-19T07:51:13Z |
| format | Article |
| id | doaj.art-fc0fed9845614361a4c204ae920bdd14 |
| institution | Directory Open Access Journal |
| issn | 0120-0690 |
| language | English |
| last_indexed | 2024-12-19T07:51:13Z |
| publishDate | 2015-03-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Colombiana de Ciencias Pecuarias |
| spelling | doaj.art-fc0fed9845614361a4c204ae920bdd142022-12-21T20:30:09ZengUniversidad de AntioquiaRevista Colombiana de Ciencias Pecuarias0120-06902015-03-012814253S0120-06902015000100005Fuzzy system to predict physiological responses of Holstein cows in southeastern BrazilOscar D Múnera Bedoya0Tadayuki Yanagi Junior1Maria F Ávila Pires2Marcos Aurélio Lopes3Renato Ribeiro de Lima4Universidad del SinúUniversidade Federal de Lavras (UFLA)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Federal de Lavras (UFLA)Universidade Federal de Lavras (UFLA)Background:thermal environment exerts a direct influence on animal performance. Environmental factors, in different circumstances, may affect milk production and fertility of animals, compromising the profitability of the activity. Under heat stress conditions dairy cows reduce feed intake and, consequently, milk production. Sweating and panting are some of the mechanisms these animals use to relieve thermal stress. In addition, animals often suffer physiological and behavioral changes caused by heat stress.Objective: the goal of the present study was to develop and evaluate a model based on fuzzy set theory to predict rectal temperature (°C), and respiratory rate (breaths per minute) responses of Holstein cows exposed to different environmental thermal conditions. Methods: the proposed fuzzy model was based on data obtained experimentally (5,884 records) as well as from the literature (792 records) referring to the effect of environmental variables on both physiological responses. Input variables of each record were dry bulb air temperature and relative humidity. Output variables were rectal temperature and respiratory rate. Results: the adjusted model was evaluated for its ability to predict response variables as a function of input variables. The model was able to predict respiration rate with an average standard error of 7.73 and rectal temperature with an average standard error of 0.27. Conclusion: a fuzzy model was developed to predict physiological responses. The error (%) of model prediction for respiration rate and rectal temperature was +/- 12 and 0.5%, respectively.http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-06902015000100005&lng=en&tlng=endesempeño animalfrecuencia respiratoriamodelo predictivotemperatura rectal |
| spellingShingle | Oscar D Múnera Bedoya Tadayuki Yanagi Junior Maria F Ávila Pires Marcos Aurélio Lopes Renato Ribeiro de Lima Fuzzy system to predict physiological responses of Holstein cows in southeastern Brazil Revista Colombiana de Ciencias Pecuarias desempeño animal frecuencia respiratoria modelo predictivo temperatura rectal |
| title | Fuzzy system to predict physiological responses of Holstein cows in southeastern Brazil |
| title_full | Fuzzy system to predict physiological responses of Holstein cows in southeastern Brazil |
| title_fullStr | Fuzzy system to predict physiological responses of Holstein cows in southeastern Brazil |
| title_full_unstemmed | Fuzzy system to predict physiological responses of Holstein cows in southeastern Brazil |
| title_short | Fuzzy system to predict physiological responses of Holstein cows in southeastern Brazil |
| title_sort | fuzzy system to predict physiological responses of holstein cows in southeastern brazil |
| topic | desempeño animal frecuencia respiratoria modelo predictivo temperatura rectal |
| url | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-06902015000100005&lng=en&tlng=en |
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