Prediction of first lactation milk geld of Boran cattle and their crosses with Holstein-Friesian in Central Ethiopia using multiple regression and principal components analysis

Simple item page
cg.contributor.affiliationNational Dairy Research Institute, Indiaen
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierAynalem: 0000-0001-5914-0487
cg.identifier.urlhttp://epubs.icar.org.in/ejournal/index.php/IJAnS/article/view/3335/1363en
cg.issn0367-8318en
cg.journalIndian Journal of Animal Sciencesen
cg.subject.ilriCATTLEen
cg.subject.ilriBREEDSen
cg.subject.ilriDAIRYINGen
cg.subject.ilriRESEARCHen
dc.contributor.authorHaile, Aynalemen
dc.contributor.authorJoshi, B.K.en
dc.contributor.authorAyalew, W.en
dc.contributor.authorTegegne, Azageen
dc.contributor.authorSingh, A.en
dc.contributor.authorChakravarty, A.K.en
dc.date.accessioned2015-07-15T06:53:39Zen
dc.date.available2015-07-15T06:53:39Zen
dc.identifier.urihttps://hdl.handle.net/10568/67297
dc.titlePrediction of first lactation milk geld of Boran cattle and their crosses with Holstein-Friesian in Central Ethiopia using multiple regression and principal components analysisen
dcterms.abstractThe data on 60 Ethiopian Boran and 428 Boran-Friesian crosses spread over 15 years (1990-2004) were used lo predict first lactation milk yield (FLYD) based on earlier expressed traits using multiple regression analysis and principal components analysis. In the prediction of FLYD in Ethiopian Boran cattle, the step-wise regression found only AFCONC to be significantly associated with FLYD (R2=13.6%) in adjusted data. In the Boran-Fnesian crosses, Gain 2, BWT, AFS and UWT were significantly associated with FLYD (R2= 15.21%). The first principal component (PC1) out of 4 fitted composite variables was significantly associated with FLYD in Ethiopian Boran breed (Rk 13.29%). The third principal component (PC3) was more related to FLYD in Boran-Friesian crosses (R2= 8 1.83%) and inclusion of next important principal component PC1 improved accuracy of prediction to 13.76%. The rest of the components were significant and dropped. The results indicated that first lactation milk yield could be predicted directly from the early expressed growth and reproductive performance traits, though with lower accuracy, and transformation of original variables into principal components offers no additional advantage in terms of accuracy of prediction.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationHaile, A., Joshi, B.K., Ayalew, W., Tegegne, A., Singh, A. and Chakravarty, A.K. 2008. Prediction of first lactation milk geld of Boran cattle and their crosses with Holstein-Friesian in Central Ethiopia using multiple regression and principal components analysis. Indian Journal of'AnirnaE Sciences 78 (1): 66-69.en
dcterms.extentp. 66-69en
dcterms.issued2008
dcterms.languageen
dcterms.subjectcattleen
dcterms.subjectbreedsen
dcterms.subjectdariesen
dcterms.subjectresearchen
dcterms.typeJournal Article

Files

Collections

ILRI articles in journals