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dc.contributor.authorQuispe Condori, Dennis-
dc.contributor.authorHuacani Pacori, Ferdynand Marcos-
dc.contributor.authorMamani Paredes, Javier-
dc.contributor.authorMamani Cato, Ruben Herberht-
dc.date.accessioned2024-07-22T16:50:16Z-
dc.date.available2024-07-22T16:50:16Z-
dc.date.issued2024-07-19-
dc.identifier.citationQuispe-Condori, D.; Huacani-Pacori, F. M.; Mamani-Paredes, J. & Mamani-Cato, R. H. (2024). Morphometric evaluation of guinea pigs (Cavia porcellus) in Southern Peru. Edelweiss Applied Science and Technology, 8(4), 390-396. doi:10.55214/25768484.v8i4.1049es_PE
dc.identifier.issn2576-8484-
dc.identifier.urihttps://hdl.handle.net/20.500.12955/2548-
dc.description.abstractThe aim of this study was the morphometric evaluation of guinea pigs in southern Peru. The study was carried out at the Agrarian Experimental Station Illpa (AESI) of the National Institute of Agrarian Innovation (NIAI) in Puno at 3824 meters above sea level. 120 guinea pigs were used (females n = 60 and males n = 60) with an average age of 22 days. The morphometric characteristics evaluated were: body weight (BW), chest circumference (CC), abdominal perimeter (AP), neck perimeter (NP), head length (HL) and head width (HW). To evaluate the effect of sex on morphometric characteristics, a completely randomized design was used. To determine the equation that best predicts body weight, stepwise regression was used, and correlations between morphometric characteristics were obtained using Pearson's correlation. The results show that the sex factor does not significantly influence BW, CC, AP, NP, HL, and HW (p≥0.05); likewise, the equation that best predicts the body weight of the guinea pigs was: BW = -530.50 + 21.98(CC) + 12.72(AP) + 10.16(NP) + 57.23(HW), with R2 = 84%. Pearson correlations between morphometric characteristics were of high magnitude, positive, and statistically significant (p<0.001). It is concluded that in conditions of the Peruvian highlands, the sex factor does not influence the morphometric characteristics. It is also possible to predict body weight from CC, AP, NP, and HW, and the correlations were high and positive.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherLearning Gatees_PE
dc.relation.ispartofurn:issn:2576-8484es_PE
dc.relation.ispartofseriesEdelweiss Applied Science and Technologyes_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by /4.0/es_PE
dc.sourceInstituto Nacional de Innovación Agrariaes_PE
dc.source.uriRepositorio Institucional - INIAes_PE
dc.subjectAbdominal perimeteres_PE
dc.subjectBody weightes_PE
dc.subjectGuinea pigses_PE
dc.subjectHead lengthes_PE
dc.subjectHead widthes_PE
dc.subjectMorphometric characteristicses_PE
dc.subjectNeck perimeteres_PE
dc.subjectSouthern Perues_PE
dc.subjectStepwise regressiones_PE
dc.titleMorphometric evaluation of guinea pigs (Cavia porcellus) in Southern Perues_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#4.02.01es_PE
dc.publisher.countryUSes_PE
dc.identifier.doihttps://doi.org/10.55214/25768484.v8i4.1049-
dc.subject.agrovocMorphometricses_PE
dc.subject.agrovocMorfometríaes_PE
dc.subject.agrovocBody weightes_PE
dc.subject.agrovocPeso corporales_PE
dc.subject.agrovocGuinea pigses_PE
dc.subject.agrovocCobayaes_PE
dc.subject.agrovocHead dimensionses_PE
dc.subject.agrovocDimensiones de la cabezaes_PE
dc.subject.agrovocPerues_PE
dc.subject.agrovocStepwise regressiones_PE
dc.subject.agrovocRegresion de paso cautelosoes_PE
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