CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA
| Main Author: | |
|---|---|
| Publication Date: | 2012 |
| Other Authors: | , , |
| Format: | Article |
| Language: | eng |
| Source: | Repositório Institucional da UNESP |
| Download full: | http://hdl.handle.net/11449/195807 |
Summary: | Milk production data were collected from 150 river buffalo cows raised in six herds in Granma, Cuba, and having from 1 to 10 production cycles, during the 1997-2005 period. The data originated from monthly samples collected in the morning with the presence of the calf. SAS 9.0 was used to analyze the data by means of a model containing the effects of herd, calving year, calving season and calf sex, plus the linear effect of age at first calving, in order to classify the cows according to total milk yield adjusted to 7% fat content (TMYA) or total unadjusted yield (TMY). The individual values of TMYA were then adjusted according to the effects of herd, calving year and calf sex, which had shown significance in the variance analysis. TMY was adjusted for only the first two effects. Spearman's correlation between these two variables was 0.95. The final classification reflects the present state of each cow, taking into account the whole evaluation and the number of lactations. This work has practical interest, since it allows the selection of the best animals for becoming mothers of future bulls and the culling of the least productive cows. Furthermore, information is given on the herds productiveness, based on overall means and their dispersion values. In conclusion, buffalo cow classification can be done either on the basis of total milk yield or on the basis of total milk yield adjusted for fat content, because of the high correlation between both variables; however, adjusted yield showed a higher variability. |
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CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBAbuffalo cowsclassificationcorrelationmilkMilk production data were collected from 150 river buffalo cows raised in six herds in Granma, Cuba, and having from 1 to 10 production cycles, during the 1997-2005 period. The data originated from monthly samples collected in the morning with the presence of the calf. SAS 9.0 was used to analyze the data by means of a model containing the effects of herd, calving year, calving season and calf sex, plus the linear effect of age at first calving, in order to classify the cows according to total milk yield adjusted to 7% fat content (TMYA) or total unadjusted yield (TMY). The individual values of TMYA were then adjusted according to the effects of herd, calving year and calf sex, which had shown significance in the variance analysis. TMY was adjusted for only the first two effects. Spearman's correlation between these two variables was 0.95. The final classification reflects the present state of each cow, taking into account the whole evaluation and the number of lactations. This work has practical interest, since it allows the selection of the best animals for becoming mothers of future bulls and the culling of the least productive cows. Furthermore, information is given on the herds productiveness, based on overall means and their dispersion values. In conclusion, buffalo cow classification can be done either on the basis of total milk yield or on the basis of total milk yield adjusted for fat content, because of the high correlation between both variables; however, adjusted yield showed a higher variability.University of GranmaFaculty of Veterinary and Animal ScienceConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)University of Sao Paulo StateICA- Institute of Science Animal - Havana- CubaUniv Granma, Bayamo, Granma, CubaInst Anim Sci, San Jose De Las Lajas, Habana, CubaDPA FMVZ UNESP, Botucatu, SP, BrazilCNPq, Rio De Janeiro, BrazilDPA FMVZ UNESP, Botucatu, SP, BrazilPakistan Agricultural Scientists ForumUniv GranmaInst Anim SciUniversidade Estadual Paulista (Unesp)CNPqMendosa, M. M.Benitez, L. M. F.Ramos, A. de A.Wechsler, F. S. [UNESP]2020-12-10T18:04:06Z2020-12-10T18:04:06Z2012-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article332-334Journal Of Animal And Plant Sciences. Lahore: Pakistan Agricultural Scientists Forum, v. 22, p. 332-334, 2012.1018-7081http://hdl.handle.net/11449/195807WOS:000209472600042Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Animal And Plant Sciencesinfo:eu-repo/semantics/openAccess2025-10-22T15:29:06Zoai:repositorio.unesp.br:11449/195807Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-10-22T15:29:06Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
| dc.title.none.fl_str_mv |
CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA |
| title |
CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA |
| spellingShingle |
CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA Mendosa, M. M. buffalo cows classification correlation milk |
| title_short |
CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA |
| title_full |
CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA |
| title_fullStr |
CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA |
| title_full_unstemmed |
CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA |
| title_sort |
CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA |
| author |
Mendosa, M. M. |
| author_facet |
Mendosa, M. M. Benitez, L. M. F. Ramos, A. de A. Wechsler, F. S. [UNESP] |
| author_role |
author |
| author2 |
Benitez, L. M. F. Ramos, A. de A. Wechsler, F. S. [UNESP] |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Univ Granma Inst Anim Sci Universidade Estadual Paulista (Unesp) CNPq |
| dc.contributor.author.fl_str_mv |
Mendosa, M. M. Benitez, L. M. F. Ramos, A. de A. Wechsler, F. S. [UNESP] |
| dc.subject.por.fl_str_mv |
buffalo cows classification correlation milk |
| topic |
buffalo cows classification correlation milk |
| description |
Milk production data were collected from 150 river buffalo cows raised in six herds in Granma, Cuba, and having from 1 to 10 production cycles, during the 1997-2005 period. The data originated from monthly samples collected in the morning with the presence of the calf. SAS 9.0 was used to analyze the data by means of a model containing the effects of herd, calving year, calving season and calf sex, plus the linear effect of age at first calving, in order to classify the cows according to total milk yield adjusted to 7% fat content (TMYA) or total unadjusted yield (TMY). The individual values of TMYA were then adjusted according to the effects of herd, calving year and calf sex, which had shown significance in the variance analysis. TMY was adjusted for only the first two effects. Spearman's correlation between these two variables was 0.95. The final classification reflects the present state of each cow, taking into account the whole evaluation and the number of lactations. This work has practical interest, since it allows the selection of the best animals for becoming mothers of future bulls and the culling of the least productive cows. Furthermore, information is given on the herds productiveness, based on overall means and their dispersion values. In conclusion, buffalo cow classification can be done either on the basis of total milk yield or on the basis of total milk yield adjusted for fat content, because of the high correlation between both variables; however, adjusted yield showed a higher variability. |
| publishDate |
2012 |
| dc.date.none.fl_str_mv |
2012-01-01 2020-12-10T18:04:06Z 2020-12-10T18:04:06Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
Journal Of Animal And Plant Sciences. Lahore: Pakistan Agricultural Scientists Forum, v. 22, p. 332-334, 2012. 1018-7081 http://hdl.handle.net/11449/195807 WOS:000209472600042 |
| identifier_str_mv |
Journal Of Animal And Plant Sciences. Lahore: Pakistan Agricultural Scientists Forum, v. 22, p. 332-334, 2012. 1018-7081 WOS:000209472600042 |
| url |
http://hdl.handle.net/11449/195807 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
Journal Of Animal And Plant Sciences |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
332-334 |
| dc.publisher.none.fl_str_mv |
Pakistan Agricultural Scientists Forum |
| publisher.none.fl_str_mv |
Pakistan Agricultural Scientists Forum |
| dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
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Universidade Estadual Paulista (UNESP) |
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UNESP |
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UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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repositoriounesp@unesp.br |
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1854949223327334400 |