Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22146
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dc.contributor.authorTemoso, Omphileen
dc.contributor.authorColeman, Michaelen
dc.contributor.authorBaker, Dereken
dc.contributor.authorMorley, Philipen
dc.contributor.authorBaleseng, Leonarden
dc.contributor.authorMakgekgenene, Alecen
dc.contributor.authorBahta, Siraken
dc.date.accessioned2017-11-09T14:12:00Z-
dc.date.issued2017-
dc.identifier.citationSouth African Journal of Animal Science, 47(6), p. 854-863en
dc.identifier.issn2221-4062en
dc.identifier.issn0375-1589en
dc.identifier.urihttps://hdl.handle.net/1959.11/22146-
dc.description.abstractThe objective of this study was to determine the practicality of using linear body measurement traits to predict live weight of goats and sheep under communal grazing in three districts of Botswana, namely Central, Kweneng, and Kgalagadi. Pairwise (Pearson) correlations were estimated using bodyweight (BW) and morphological trait measurements, namely heart girth (HG), shoulder height (SH), and body condition score (BCS) for a sample of 1447 goats and 588 sheep. These ranged from 0.19 to 0.94 for goats and 0.44 to 0.94 for sheep, and were statistically significant. In both animals, regardless of sex, the highest positive correlations were found between BW and HG, followed by BW and SH, then BW and BCS. The direct and indirect relationship between BW and morphological traits using a path analysis approach were also estimated. This analysis suggested that the direct effect of HG on BW was higher at 0.761 for male and 0.662 for female goats, respectively. Similarly, the direct effect of HG on BW was higher among sheep at 0.764 for males and 0.882 for females. The direct effects of SH in all the animals were also positively influenced by BW. It was concluded that among these three morphological traits, the most valuable for estimating the BW for goats and sheep in Botswana is HG, followed by SH. BCS was found non-significant. Path analysis therefore has an advantage over previous empirical studies by providing more detailed information on the relationships (direct and indirect) between these variables. A further implication of this study is that a conversion table could be constructed to help smallholder farmers to estimate the live weight of their sheep and goats from linear measurements. This would aid in the management and marketing of their livestock.en
dc.languageenen
dc.publisherSouth African Society for Animal Scienceen
dc.relation.ispartofSouth African Journal of Animal Scienceen
dc.titleUsing path analysis to predict bodyweight from body measurements of goats and sheep of communal rangelands in Botswanaen
dc.typeJournal Articleen
dc.identifier.doi10.4314/sajas.v47i6.13en
dcterms.accessRightsGolden
dc.subject.keywordsAnimal Productionen
dc.subject.keywordsAgricultural Economicsen
dc.subject.keywordsAnimal Managementen
local.contributor.firstnameOmphileen
local.contributor.firstnameMichaelen
local.contributor.firstnameDereken
local.contributor.firstnamePhilipen
local.contributor.firstnameLeonarden
local.contributor.firstnameAlecen
local.contributor.firstnameSiraken
local.subject.for2008140201 Agricultural Economicsen
local.subject.for2008070299 Animal Production not elsewhere classifieden
local.subject.for2008070203 Animal Managementen
local.subject.seo2008839999 Animal Production and Animal Primary Products not elsewhere classifieden
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolUNE Business Schoolen
local.profile.schoolAdministrationen
local.profile.emailotemoso2@une.edu.auen
local.profile.emailmcolema8@une.edu.auen
local.profile.emailabaker33@une.edu.auen
local.profile.emailpmorley@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20171013-13525en
local.publisher.placeSouth Africaen
local.format.startpage854en
local.format.endpage863en
local.identifier.scopusid85031044602en
local.peerreviewedYesen
local.identifier.volume47en
local.identifier.issue6en
local.access.fulltextYesen
local.contributor.lastnameTemosoen
local.contributor.lastnameColemanen
local.contributor.lastnameBakeren
local.contributor.lastnameMorleyen
local.contributor.lastnameBalesengen
local.contributor.lastnameMakgekgeneneen
local.contributor.lastnameBahtaen
dc.identifier.staffune-id:otemoso2en
dc.identifier.staffune-id:mcolema8en
dc.identifier.staffune-id:abaker33en
dc.identifier.staffune-id:pmorleyen
local.profile.orcid0000-0002-3327-0467en
local.profile.orcid0000-0002-1910-7145en
local.profile.orcid0000-0001-8083-5291en
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local.identifier.unepublicationidune:22336en
local.identifier.handlehttps://hdl.handle.net/1959.11/22146en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleUsing path analysis to predict bodyweight from body measurements of goats and sheep of communal rangelands in Botswanaen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorTemoso, Omphileen
local.search.authorColeman, Michaelen
local.search.authorBaker, Dereken
local.search.authorMorley, Philipen
local.search.authorBaleseng, Leonarden
local.search.authorMakgekgenene, Alecen
local.search.authorBahta, Siraken
local.uneassociationUnknownen
local.identifier.wosid000417591200013en
local.year.published2017en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/19f7eae1-8afc-48e3-84d2-9aa514351210en
local.subject.for2020300302 Animal managementen
local.subject.for2020440407 Socio-economic developmenten
local.subject.for2020380101 Agricultural economicsen
local.subject.seo2020100412 Sheep for meaten
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
local.subject.seo2020280108 Expanding knowledge in economicsen
dc.notification.token4395ab08-87be-4865-a0bc-33842de6ab55en
local.codeupdate.date2021-12-08T10:29:55.963en
local.codeupdate.epersonabaker33@une.edu.auen
local.codeupdate.finalisedtrueen
local.original.for2020300302 Animal managementen
local.original.for2020undefineden
local.original.for2020380101 Agricultural economicsen
local.original.seo2020undefineden
Appears in Collections:Journal Article
School of Environmental and Rural Science
UNE Business School
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