CLASSIFICATION OF RIVER BUFFALO COWS ON THE BASIS OF TWO EVALUATION CRITERIA APPLIED TO HERDS IN GRANMA PROVINCE, CUBA

Bibliographic Details
Main Author: Mendosa, M. M.
Publication Date: 2012
Other Authors: Benitez, L. M. F., Ramos, A. de A., Wechsler, F. S. [UNESP]
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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spelling 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
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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