PREDICTION OF LIVE WEIGHT THROUGH MORPHOMETRIC VARIABLES IN GOATS FROM BAJA CALIFORNIA SUR, MEXICO

Raul Avalos Castro, Jose Denis Osuna Amador, Noe Medina Cordova, Carlos Cabada Tavares, Jose C. Segura Correa

Abstract


Background. Regression models based on different morphometric measurements have been used as a practical, minimal cost and highly reliable method to predict live weight (LW) in goats; however, for the northwest region of Mexico there is no information available on the genetic and phenotypic variability of local goat populations, therefore, it is necessary to generate experiences on the efficiency of morphometric measurements to estimate LW in this area. Objective. To obtain the best equation for predicting live weight through variables and morphometric indices in goats from Baja California Sur. Methodology. Two assessments were carried out; the first one measured the height at the withers (AC), body length (LC), thoracic girth (PT) and LW of 403 Nubian crossbred goats. Morphometric measurements were analyzed by stepwise multiple regression and simple correlation coefficients were obtained; in the second, the efficiency of the best model (soft tape measure) was evaluated vs the weight obtained with a spring balance and the estimated by observation. Results. In the first assessment, it was observed that the three morphometric variables presented a positive, high and significant correlation (p < 0.001) with the PV, with the PT being the variable with the highest correlation value (r = 0.97), followed by the LC (r = 0.93) and AC (r = 0.91). The best PV prediction equation (R2 adjusted = 0.98) was the one that included PT. The inclusion of the three morphometric variables in the model only improved the coefficient of determination by 1 % (R2 adjusted = 0.99). The efficiency of the estimated weight with a soft tape measure vs a spring balance was similar (p < 0.05). Implications: Results indicate that the developed equation can accurately estimate goats PV when a spring balance is not available. Conclusion. Under the conditions of this study, the best model that predicted the PV was the one that included PT, which means saving time, money, and simplicity.

Keywords


Regression; zoometry; thoracic perimeter; prediction equation; Nubian.

Full Text:

PDF

References


Abbas, A., Ullah, M.A. and Waheed, A., 2021. Body weight prediction using different data mining algorithms in Thalli sheep: A comparative study. Veterinary World, 14(9), pp. 2332-2338. https://doi.org/10.14202/vetworld.2021.2332-2338

Adeyinka, I.A. and Mohammed, I.D., 2006. Relationship of liveweight and linear body measurement in two breeds of goat of northern Nigeria. Journal Animal Veterinary Advances, 5(11), pp. 891-893. https://www.researchgate.net/publication/26590886_Relationship_of_Liveweight_and_Linear_Body_Measurement_in_Two_Breeds_of_Goat_of_Northern_Nigeria

Asefa, B., Teshome, A. and Abera, M., 2017. Prediction of live body weight from heart girth measurement for small ruminant in Ethiopia: a review article. International Journal of Agricultural Research, Sustainability, and Food Sufficiency, 4, pp. 193-201. http://academiascholarlyjournal.org/ijarsfs/publications/nov17/Asefa_et_al.pdf

Avalos-Castro, R., OsunaAmador, J.D., Cabada-Tavares, C.A., Medina-Córdova, N.J., Cadena-Iñiguez, P. and Ariza-Flores, R., 2021. Productive and technological characteristics of goat farmers in Comondú, Baja California Sur. Agro Productividad. https://doi.org/10.32854/agrop.v14i8.2132

Bello, A.A. and Adama, T.Z., 2012. Studies on body weight and linear body measurements of castrates and non-castrate savannah brown goats. Asian Journal of Animal Sciences, 6, pp. 140-146. https://doi.org/10.3923/ajas.2012.140.146

Capello, J.S., Ruíz, S., Revidatti, M.A., De la Rosa, S.A., Morales, V., Tejerina, E.R. and Orga, A., 2017. Estimación del peso vivo a través de la medición del perímetro torácico en cabras criollas formoseñas (Argentina). Actas Iberoamericanas en Conservación Animal, 9, pp. 103-108. https://produccion-animal.com.ar/produccion_caprina/produccion_caprina/188-perimetro_toraxico.pdf

Castellaro, G., Orellana, C., Escanilla, J.P. and Ruz, Y., 2019. Estimación del peso vivo en caprinos a través de medidas morfométricas. Agro Sur, 47(1), pp. 23-28. http://revistas.uach.cl/index.php/agrosur/article/view/5937

Chacón-Hernández, P. and Boschini-Figueroa, C., 2017. Peso estimado en cabras con una cinta comercial de pesaje y perímetro torácico. Agronomía mesoamericana, 28(1), pp. 229-236. https://doi.org/10.15517/am.v28i1.21611

Chay-Canul, A.J., García-Herrera, R., Salazar-Cuytún, R., Ojeda-Robertos, N.F., Cruz-Hernández, A., Fonseca, M. A. and Canul-Solís, J.R., 2019. Development and evaluation of equations to predict body weight of Pelibuey ewes using heart girth. Revista Mexicana de Ciencias Pecuarias, 10(3), pp. 767-777. https://doi.org/10.22319/rmcp.v10i3.4911

Dakhlan, A., Iqbal-Hamdani, M.D., Rusitaimi-Putri, D. and Arif-Qisthon, S., 2021. Short Communiction: prediction of body weight based on body measurement in female Saburai goat. Biodiversitas, 22(3), pp. 1391-1396. https://doi.org/10.13057/biodiv/d220341

Dorantes-Coronado, E.J., Torres-Hernández, G., Hernández-Mendo, O. and Rojo-Rubio, R., 2015. Zoometric measures and their utilization in prediction of live weight of local goats in southern México. SpringerPlus, 4, pp. 695. https://doi.org/10.1186/s40064-015-1424-6

Dossa, L.H., Wollny, C. and Gauly, M., 2007. Spatial variation in goat populations from Benin as revealed by multivariate analysis of morphological traits. Small Ruminant Research, 73, pp. 150-159. https://doi.org/10.1016/j.smallrumres.2007.01.003

FAO, 1987. Committee on Agriculture (Ninth Session). Improving Productivity of Dryland Areas. FAO, Rome, pp. 353-375.

FAO, 2012. Phenotypic characterization of animal genetic resources. FAO Animal Production and Health Guidelines: No 11. Food and Agriculture Organizaton of the United Nations. http://www.fao.org/3/i2686e/i2686e00.htm

Habib, M.A., Akhtar, A., Haque-Bhuiyan, A.K., Choudhury, M.P. and Afroz, M.F., 2019. Biometrical relationship between body weight and body measurements of black bengal goat (BBG). Current Journal of Applied Science and Technology, 35(2), pp. 1-7. https://doi.org/10.9734/CJAST/2019/v35i230172

INEGI, 1981. Dirección General de Geografía. Carta uso del suelo y vegetación 1:1,000,000.

INEGI, 2022. Clima en el estado de Baja California Sur. Disponible en: https://cuentame.inegi.org.mx/monografias/informacion/bcs/territorio/clima.aspx?tema=me&e=03#:~:text=Las%20lluvias%20son%20muy%20escasas,es%20menor%20a%20200%20mm Consultado el 04 de noviembre de 2022

Moscol, J.R., 2016. Relación entre el perímetro torácico y el peso vivo en caprinos de la región de Piura, año 2015. Tesis licenciatura. 40p. Universidad Alas Peruanas, Perú.

Peña-Avelino, L.Y., Alva-Pérez, J., Ceballos-Olvera, I., Hernández-Contreras, S. and Álvarez-Fuentes, G., 2021. Evaluación de diferentes fórmulas zoométricas para la estimación de peso vivo en cabras criollas de Tamaulipas, México. ITEA, información técnica económica agraria: revista de la Asociación Interprofesional para el Desarrollo Agrario (AIDA), 117(5), pp. 532-543. https://doi.org/10.12706/itea.2021.007

Pérez, Z.O., Ybañez, A.P., Ybañez, R.H.D. and Sandoval, J.F.G., 2016. Body weight estimation using body measurements in goats (Capra hircus) under field condition. Philippine Journal of Veterinary and Animal Sciences, 42, pp. 1-7.

Pesmen, G. and Yardimci, M., 2008. Estimating the live weight using some body measurements in Saanen goats. Archiva Zootechnica, 11(4), pp. 30-40. https://www.cabdirect.org/cabdirect/abstract/20093178273

Prieto, A., Hick, M.H.V., Caruso, L.M. and Frank, E.N., 2019. Estimación del Peso corporal de Caprinos de la Provincia de Córdoba. Investigación, Ciencia y Universidad, 3(4), pp. 71-71. http://revistas.umaza.edu.ar/index.php/icu/article/view/263

Raja, T.V., Venkatachalapathy, R.T., Kannan, A., Bindu, K.A., 2015. Determination of best-fitted regression model for prediction of body weight in Attappady black goats. International Journal of Agricultural Sciences, 5(3), pp. 423-457. https://www.internationalscholarsjournals.com/articles/determination-of-bestfitted-regression-model-for-prediction-of-body-weight-attappady-black-goats.pdf

Ramírez-Orduña, R., Ramírez, R.G., Romero-Vadillo, E., González-Rodríguez, H., Armenta-Quintana, J.A. and Avalos-Castro, R., 2008. Diet and nutrition of range goats on a sarcocaulescent shrubland from Baja California Sur, Mexico. Small Ruminant Research, 76(3), pp. 166-176. http://doi:10.1016/j.smallrumres.2007.12.020

Resende, K.T., Medeiros, A.N., Calegari, A. and Yáñez, E.A., 2001. Utilización de medidas corporales para estimar el peso vivo de caprinos Saanen. Jornadas Científicas, 26, pp. 340-344.

Ribeiro, M.N., da Silva, J.V., Pimenta-Filho, E.C. and Sereno, J.R.B., 2004a. Estudio de las correlaciones entre características fenotípicas de caprinos naturalizados. Archivos de Zootecnia, 53(203), pp. 337-340. https://www.redalyc.org/pdf/495/49520313.pdf

Ribeiro, N.L., Medeiros, A.N., Ribeiro, M.N. and Pimenta-Filho, E.C., 2004b. Estimación del peso vivo de caprinos autóctonos brasileños mediante medidas morfométricas. Universidad de Córdova. España. Archivos de Zootecnia, 53(203), pp. 341-344. https://www.redalyc.org/pdf/495/49520314.pdf

Sañudo, C., 2009. Valoración morfológica de los animales domésticos. Ministerio de Medio Ambiente y Medio Rural y Marino. Madrid, España.

SAS (Statistical Analysis Software), 2014. SAS – Statistical Analysis Software for Windows ver 9.3. Cary, NC: SAS Inst. Inc.

Souza, S., Leal, A., Barioni, C., Matos, A., Morais, J., Araújo, M., Neto, O. Santos, A. and Costa, E.R., 2009. Utilização de medidas biométricas para estimar peso vivo em ovinos. Archivos Latinoamericana de Producción Animal, 17(3), pp. 61-66. https://dialnet.unirioja.es/servlet/articulo?codigo=3670388

Sungirai, M., Masaka, L. and Benhura, T.M., 2014. Validity of weight estimation models in pigs reared under different management conditions. Veterinary Medicine International, 1, pp. 1-5. http://dx.doi.org/10.1155/2014/530469

Yakubu, A., Ladokun, A.O. and Adua, M.M., 2011. Bioprediction of body weight from zoometrical traits of non-descript goats using linear and non-linear models in North Central Nigeria. Livestock Research for Rural Development, 23, pp. 6. http://www.lrrd.org/lrrd23/6/yaku23130.htm




URN: http://www.revista.ccba.uady.mx/urn:ISSN:1870-0462-tsaes.v28i1.56968

DOI: http://dx.doi.org/10.56369/tsaes.5696

Bookmark and Share


Copyright (c) 2025 Carlos Cabada Tavares, José Denis Osuna Amador, Raúl Ávalos Castro, Noé Medina Córdova

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.