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Year 2025, Volume: 35 Issue: 2, 299 - 308, 30.06.2025
https://doi.org/10.29133/yyutbd.1646048

Abstract

References

  • Adinata, Y., Noor, R.R., Priyanto, R., Cyrilla, L., & Sudrajad, S. (2022). Comparison of growth curve models for Ongole Grade cattle. Tropical Animal Health and Production, 54, 252. https://doi.org/10.1007/s11250-022-03254-z
  • Araujo, J. I. M., Carneiro, P. L. S., Glória, L. S., Filho, R. M., Araujo, A. C., De Rezende, M. P. G., & Malhado, C. H. M. (2023). Strategies for the identification of precocity in zebu beef cattle based on mixed nonlinear models and multivariate approach. Tropical Animal Health and Production, 55(6), 362. https://doi.org/10.1007/s11250-023-03782-2
  • Azis, R., Ciptadi, G., Wahjuningsih, S., Hariyono, D. N. H., Tribudi, Y. A., & Nurgiartiningsih, V. M. A. (2023). Prediction of body weight from body measurements in bali cattle of indonesia using regression analysis. Adv. Anim. Vet. Sci, 11(9), 1486-1491. https://doi.org/10.17582/journal.aavs/2023/11.9.1486.1491
  • Bahashwan, S., Alrawas, A. S., Alfadli, S., & Johnson, E. S. (2015). Dhofari cattle growth curve prediction by different non-linear model functions. Livest. Res. Rural Dev, 27(12), 236-244. http://www.lrrd.org/lrrd27/12/baha27236.html
  • Bahreini, B. M., Aslaminejad, A. A., Sharifi, A. R., & Simianer, H. (2014). Comparison of mathematical models for describing the growth of Baluchi sheep, Journal of Agricultural Science and Technology, 14, 57-68. https://doi.org/20.1001.1.16807073.2014.16.1.2.6
  • Benvenga, M. A. C., Nääs, I. D. A., Lima, N. D. D. S., & Pereira, D. F. (2022). Hybrid metaheuristic algorithm for optimizing monogastric growth curve (pigs and broilers). AgriEngineering, 4, 1171-1183. https://doi.org/10.3390/ agriengineering4040073
  • Cano, G., Blanco, M., Casasús, I., Cortés-Lacruz, X., & Villalba, D. (2016). Corrigendum to: Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle. Animal Production Science, 56, 2161-2161. https://doi.org/10.1071/AN15089
  • Cantalapiedra-Hijar, G., Abo-Ismail, M., Carstens, G. E., Guan, L. L., Hegarty, R., Kenny, D. A., ... & Ortigues-Marty, I. (2018). Biological determinants of between-animal variation in feed efficiency of growing beef cattle. Animal, 12, 321-335. https://doi.org/10.1017/S1751731118001489
  • Domínguez-Viveros, J., Reyes-Cerón, A., Aguirre-Calderón, C. E., Martínez-Rocha, R., Luna-Palomera, C., & Aguilar-Palma, N. (2023). Growth curves in purebred and crossbred Limousin cattle. Revista Mexicana de Ciencias Pecuarias, 14, 412-422. https://doi.org/10.22319/rmcp.v14i2.6286
  • Domínguez-Viveros, J., Rodríguez-Almeida, F. A., Aguilar-Palma, G. N., Castillo-Rangel, F., Saiz-Pineda, J. F., & Villegas-Gutiérrez, C. (2020). Fitting of non-linear models to characterize the growth of five zebu cattle breeds. Livestock Science, 242, 104303. https://doi.org/10.1016/j.livsci.2020.104303
  • Filipe, J. A. N., Leinonen, I., & Kyriazakis, I. (2018). The quantitative principles of animal growth. Feed Evaluation Science, 13, 1-34. https://doi.org/10.3920/978-90-8686-854-4
  • Firman, A., & Nono, O. H. (2021). A social-ecological system approach to Bali cattle raising in Timor Island, Indonesia. Biodiversitas Journal of Biological Diversity, 22, 3585-3593. https://doi.org/10.13057/biodiv/d220860
  • Forni, S., Piles, M., Blasco, A., Varona, L., Oliveira, H. N. D., Lôbo, R. B., & Albuquerque, L. G. D. (2009). Comparison of different nonlinear functions to describe Nelore cattle growth. Journal of Animal Science, 87, 496-506. https://doi.org/10.2527/jas.2008-0845
  • Goldberg, V., & Ravagnolo, O. (2015). Description of the growth curve for Angus pasture-fed cows under extensive systems. Journal of Animal Science, 93, 4285-4290. https://doi.org/10.2527/jas.2015-9208
  • Grossi, D. A., Frizzas, O. G., Paz, C. C. P., Bezerra, L. A. F., Lôbo, R. B., Oliveira, J. A., & Munari, D. P. (2008). Genetic associations between accumulated productivity, and reproductive and growth traits in Nelore cattle. Livestock Science, 117, 139-146. https://doi.org/10.1016/j.livsci.2007.12.007
  • Hartati, H., & Putra, W. P. B. (2021). Predicting the growth curve of body weight in madura cattle. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 27. https://doi.org/10.9775/kvfd.2021.25448
  • Jakaria, J., Ulum, M. F., & Priyanto, R. (2019). Live Body Weight Assessment based on body measurements in Bali cattle (Bos javanicus) at extensive rearing system. J. Life. Soc. Sci., 17, 17-23.
  • Júnior, R. N. C. C., Araújo, C. V. d., Silva, W. C. d., Araújo, S. I. d., Lôbo, R. B., Nakabashi, L. R. M., Castro, L. M. d., Menezes, F. L., Maciel e Silva, A. G., Silva, L. K. X., Silva, J. A. R. d., Barbosa, A. V. C., Marques, J. R. F., & Lourenço Júnior, J. D. B. (2023). Mixed Models in Nonlinear Regression for Description of the Growth of Nelore Cattle. Animals, 13, 101. https://doi.org/10.3390/ani13010101
  • Kassahun, D., Taye, M., Kebede, D., Tilahun, M., Tesfa, A., Bitew, A., Kebede A., Meseret M., Lakew E., Bimrow T., & Haile, A. (2022). Phenotypic and genetic parameter estimates for early growth, growth rate and growth efficiency‐related traits of Fogera cattle in Ethiopia. Vet. Med. Sci., 8(1), 387-397. https://doi.org/10.1002/vms3.628
  • Kikkawa, Y., Takada, T., Sutopo, Nomura, K., Namikawa, T., Yonekawa, H., & Amano, T. (2003). Phylogenies using mtDNA and SRY provide evidence for male‐mediated introgression in Asian domestic cattle. Animal Genetics, 34, 96-101. https://doi.org/10.1046/j.1365-2052.2003.00956.x
  • Kurlyana, T., Hartatik, T., & Sumadi S. (2023). Association between leptin gene polymorphism and growth traits in Bali cattle. Journal of the Indonesian Tropical Animal Agriculture, 48(1), 1-9. https://doi.org/10.14710/jitaa.48.1.1-9
  • Lewis, F., Butler, A., & Gilbert, L. (2010). A unified approach to model selection using the likelihood ratio test. Methods in Ecology and Evolution, 2, 155-162. https://doi.org/10.1111/j.2041-210X. 2010.00063.x.
  • Marinho, K. N. D. S., Freitas, A. R. D., Falcão, A. J. D. S., & Dias, F. E. F. (2013). Nonlinear models for fitting growth curves of Nellore cows reared in the Amazon Biome. Rev. Bras. Zootec., 42, 645-650. https://doi.org/10.1590/S1516-35982013000900006
  • Martojo, H. (2012). Indigenous Bali cattle is most suitable for sustainable small farming in Indonesia. Reprod. Domes. Anim., 47, 10-14. https://doi.org/10.1111/j.1439-0531.2011.01958.x
  • Mohamad, K., Olsson, M., Andersson, G., Purwantara, B., van Tol, HT., Rodriguez-Martinez, H., Colenbrander, B., & Lenstra, J. A. (2012). The origin of Indonesian cattle and conservation genetics of the Bali cattle breed. Reprod. Domes. Anim., 47, 18-20. https://doi.org/10.1111/j.1439-0531.2011.01960.x
  • Narinc, D., Uckardes, F., & Aslan, E. (2014). Egg production curve science. World's analyses Poultry in Science. Poultry Journal, 70, 817-828., https://doi.org/10.1017/S0043933914000877
  • Nogales, S., Calderón, J., Lupi, T. M., Bressan, M. C., Delgado, J. V., & Camacho, M. E. (2017). A comparison of the growth performance between cattle reared in conventional systems and in feral conditions. Livest. Sci., 206, 154-160. https://doi.org/10.1016/j.livsci.2017.10.026·
  • Prihandini, P. W., Maharani, D., & Sumadi, S. (2020). Body weight, body measurements and slaughter characteristics of Madura cattle raised in Pamekasan District, East Java Province, Indonesia. Biodiversitas Journal of Biological Diversity, 21, 3415-3421. https://doi.org/10.13057/biodiv/d210801
  • Regadas Filho, J. G. L., Tedeschi, L. O., Rodrigues, M. T., Brito., L. F., & Oliveira, T. S. (2014). Comparison of growth curves of two genotypes of dairy goats using nonlinear mixed models. J. Agri. Sci., 152, 829-842. https://doi.org/10.1017/S0021859613000798
  • Lisson, S., MacLeod, N., McDonald, C., Corfield, J., Pengelly, B., Wirajaswadi, L., Rahman, R., Bahar, S., Padjung, R., Razak, N., Puspadi, K., Sutaryono, Y., Dahlanuddin., Saenong, S., Panjaitan, T., Hadiawati, L., Ash, A., & Brennan, L. (2010). A participatory, farming systems approach to improving Bali cattle production in the smallholder crop–livestock systems of Eastern Indonesia. Agricultural Systems, 103, 486-497. https://doi.org/10.1016/j.agsy.2010.05.002
  • Selvaggi, M., Laudadio, V., D'Alessandro, A. G., Dario, C., & Tufarelli, V. (2017). Comparison on accuracy of different nonlinear models in predicting growth of Podolica bulls. Journal of Animal Science, 88, 1128-1133. https://doi.org/10.1111/asj.12726
  • Sumaryadi, M. Y., Setiawati, E. N., Triyanto, A., & Armelia, V. (2021). Morphometric characteristics and reproductive performance of Pasundan cattle in the North Prianganese and Southern South Coast Region. Int. J. Zool. Res, 3, 9-17. https://doi.org/10.30564/jzr.v3i2.3087
  • Walmsley, B. J., Lee, S. J., Parnell, P. F., & Pitchford, W. S. (2016). A review of factors influencing key biological components of maternal productivity in temperate beef cattle. Animal Production Science, 58, 1-19. https://doi.org/10.1071/AN12428
  • Weber, S. H., Dos Santos, S. K., Heinzen, B. C., Viana, N. P., & Sotomaior, C. S. (2021). Comparison of nonlinear mathematical models for lamb growth analysis. Trop. Anim. Healt Prod, 53, 1-9. https://doi.org/10.1007/s11250-021-02597-3
  • Wijaya, F. M. P., Sutopo, S., Samsudewa, D., Setiyono, A., & Setiaji, A. (2023). Fresh semen quality of Bos taurus, Bos indicus and Bos sondaicus bulls in the tropical condition. Yuzuncu Yıl University Journal of Agricultural Sciences, 33(3), 420-428. https://doi.org/10.29133/yyutbd.1244506
  • Zimmerman, D. L., Núñez-Antón, V., Gregoire, V., Schabenberger, T. G., Hart, O., Kenward J. D., Verbeke, M. G., Pourahmadi, G., & Philippe, M. V. (2001). Parametric modelling of growth curve data: An overview. Test, 10, 1-73. https://doi.org/10.1007/BF02595823

The Evaluation for Recent Growth Performance of Bali Cattle using Non-linear Models

Year 2025, Volume: 35 Issue: 2, 299 - 308, 30.06.2025
https://doi.org/10.29133/yyutbd.1646048

Abstract

Growth curve modeling is essential for understanding livestock development, productivity, and efficiency. This study evaluated the growth patterns of Bali cattle, a resilient and economically significant breed in Indonesia, using five non-linear growth models: Brody, Gompertz, Logistic, Von Bertalanffy, and Modified Von Bertalanffy. Body weight data were collected from 256 males and 279 females at key growth stages from birth to 730 days. Goodness-of-fit criteria including Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), coefficient of determination (R²), and correlation coefficient (r) were applied to identify the most suitable model for describing growth curves. The Gompertz model exhibited the best fit for males, with the lowest AIC (29.76) and BIC (28.58) and highest R² (0.9913) and r (0.9956). For females, the Modified Von Bertalanffy model performed best, with superior goodness-of-fit metrics. Growth parameter analysis revealed that males achieved higher mature weights (A) and slower growth rates (K), whereas females exhibited faster growth rates but matured at smaller sizes. These findings indicate distinct growth dynamics between sexes, influenced by genetic and physiological factors. This research emphasizes the importance of selecting appropriate models to understand critical growth stages, optimize nutrition, and enhance management and breeding strategies. The results offering valuable insights for breeders, farmers, and policymakers aiming to bolster beef production.

Ethical Statement

The ethical approval from the committee of Animal Care and Welfare for this research was not necessary due to the use of secondary data only and there was no field experiment conducted.

References

  • Adinata, Y., Noor, R.R., Priyanto, R., Cyrilla, L., & Sudrajad, S. (2022). Comparison of growth curve models for Ongole Grade cattle. Tropical Animal Health and Production, 54, 252. https://doi.org/10.1007/s11250-022-03254-z
  • Araujo, J. I. M., Carneiro, P. L. S., Glória, L. S., Filho, R. M., Araujo, A. C., De Rezende, M. P. G., & Malhado, C. H. M. (2023). Strategies for the identification of precocity in zebu beef cattle based on mixed nonlinear models and multivariate approach. Tropical Animal Health and Production, 55(6), 362. https://doi.org/10.1007/s11250-023-03782-2
  • Azis, R., Ciptadi, G., Wahjuningsih, S., Hariyono, D. N. H., Tribudi, Y. A., & Nurgiartiningsih, V. M. A. (2023). Prediction of body weight from body measurements in bali cattle of indonesia using regression analysis. Adv. Anim. Vet. Sci, 11(9), 1486-1491. https://doi.org/10.17582/journal.aavs/2023/11.9.1486.1491
  • Bahashwan, S., Alrawas, A. S., Alfadli, S., & Johnson, E. S. (2015). Dhofari cattle growth curve prediction by different non-linear model functions. Livest. Res. Rural Dev, 27(12), 236-244. http://www.lrrd.org/lrrd27/12/baha27236.html
  • Bahreini, B. M., Aslaminejad, A. A., Sharifi, A. R., & Simianer, H. (2014). Comparison of mathematical models for describing the growth of Baluchi sheep, Journal of Agricultural Science and Technology, 14, 57-68. https://doi.org/20.1001.1.16807073.2014.16.1.2.6
  • Benvenga, M. A. C., Nääs, I. D. A., Lima, N. D. D. S., & Pereira, D. F. (2022). Hybrid metaheuristic algorithm for optimizing monogastric growth curve (pigs and broilers). AgriEngineering, 4, 1171-1183. https://doi.org/10.3390/ agriengineering4040073
  • Cano, G., Blanco, M., Casasús, I., Cortés-Lacruz, X., & Villalba, D. (2016). Corrigendum to: Comparison of B-splines and non-linear functions to describe growth patterns and predict mature weight of female beef cattle. Animal Production Science, 56, 2161-2161. https://doi.org/10.1071/AN15089
  • Cantalapiedra-Hijar, G., Abo-Ismail, M., Carstens, G. E., Guan, L. L., Hegarty, R., Kenny, D. A., ... & Ortigues-Marty, I. (2018). Biological determinants of between-animal variation in feed efficiency of growing beef cattle. Animal, 12, 321-335. https://doi.org/10.1017/S1751731118001489
  • Domínguez-Viveros, J., Reyes-Cerón, A., Aguirre-Calderón, C. E., Martínez-Rocha, R., Luna-Palomera, C., & Aguilar-Palma, N. (2023). Growth curves in purebred and crossbred Limousin cattle. Revista Mexicana de Ciencias Pecuarias, 14, 412-422. https://doi.org/10.22319/rmcp.v14i2.6286
  • Domínguez-Viveros, J., Rodríguez-Almeida, F. A., Aguilar-Palma, G. N., Castillo-Rangel, F., Saiz-Pineda, J. F., & Villegas-Gutiérrez, C. (2020). Fitting of non-linear models to characterize the growth of five zebu cattle breeds. Livestock Science, 242, 104303. https://doi.org/10.1016/j.livsci.2020.104303
  • Filipe, J. A. N., Leinonen, I., & Kyriazakis, I. (2018). The quantitative principles of animal growth. Feed Evaluation Science, 13, 1-34. https://doi.org/10.3920/978-90-8686-854-4
  • Firman, A., & Nono, O. H. (2021). A social-ecological system approach to Bali cattle raising in Timor Island, Indonesia. Biodiversitas Journal of Biological Diversity, 22, 3585-3593. https://doi.org/10.13057/biodiv/d220860
  • Forni, S., Piles, M., Blasco, A., Varona, L., Oliveira, H. N. D., Lôbo, R. B., & Albuquerque, L. G. D. (2009). Comparison of different nonlinear functions to describe Nelore cattle growth. Journal of Animal Science, 87, 496-506. https://doi.org/10.2527/jas.2008-0845
  • Goldberg, V., & Ravagnolo, O. (2015). Description of the growth curve for Angus pasture-fed cows under extensive systems. Journal of Animal Science, 93, 4285-4290. https://doi.org/10.2527/jas.2015-9208
  • Grossi, D. A., Frizzas, O. G., Paz, C. C. P., Bezerra, L. A. F., Lôbo, R. B., Oliveira, J. A., & Munari, D. P. (2008). Genetic associations between accumulated productivity, and reproductive and growth traits in Nelore cattle. Livestock Science, 117, 139-146. https://doi.org/10.1016/j.livsci.2007.12.007
  • Hartati, H., & Putra, W. P. B. (2021). Predicting the growth curve of body weight in madura cattle. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 27. https://doi.org/10.9775/kvfd.2021.25448
  • Jakaria, J., Ulum, M. F., & Priyanto, R. (2019). Live Body Weight Assessment based on body measurements in Bali cattle (Bos javanicus) at extensive rearing system. J. Life. Soc. Sci., 17, 17-23.
  • Júnior, R. N. C. C., Araújo, C. V. d., Silva, W. C. d., Araújo, S. I. d., Lôbo, R. B., Nakabashi, L. R. M., Castro, L. M. d., Menezes, F. L., Maciel e Silva, A. G., Silva, L. K. X., Silva, J. A. R. d., Barbosa, A. V. C., Marques, J. R. F., & Lourenço Júnior, J. D. B. (2023). Mixed Models in Nonlinear Regression for Description of the Growth of Nelore Cattle. Animals, 13, 101. https://doi.org/10.3390/ani13010101
  • Kassahun, D., Taye, M., Kebede, D., Tilahun, M., Tesfa, A., Bitew, A., Kebede A., Meseret M., Lakew E., Bimrow T., & Haile, A. (2022). Phenotypic and genetic parameter estimates for early growth, growth rate and growth efficiency‐related traits of Fogera cattle in Ethiopia. Vet. Med. Sci., 8(1), 387-397. https://doi.org/10.1002/vms3.628
  • Kikkawa, Y., Takada, T., Sutopo, Nomura, K., Namikawa, T., Yonekawa, H., & Amano, T. (2003). Phylogenies using mtDNA and SRY provide evidence for male‐mediated introgression in Asian domestic cattle. Animal Genetics, 34, 96-101. https://doi.org/10.1046/j.1365-2052.2003.00956.x
  • Kurlyana, T., Hartatik, T., & Sumadi S. (2023). Association between leptin gene polymorphism and growth traits in Bali cattle. Journal of the Indonesian Tropical Animal Agriculture, 48(1), 1-9. https://doi.org/10.14710/jitaa.48.1.1-9
  • Lewis, F., Butler, A., & Gilbert, L. (2010). A unified approach to model selection using the likelihood ratio test. Methods in Ecology and Evolution, 2, 155-162. https://doi.org/10.1111/j.2041-210X. 2010.00063.x.
  • Marinho, K. N. D. S., Freitas, A. R. D., Falcão, A. J. D. S., & Dias, F. E. F. (2013). Nonlinear models for fitting growth curves of Nellore cows reared in the Amazon Biome. Rev. Bras. Zootec., 42, 645-650. https://doi.org/10.1590/S1516-35982013000900006
  • Martojo, H. (2012). Indigenous Bali cattle is most suitable for sustainable small farming in Indonesia. Reprod. Domes. Anim., 47, 10-14. https://doi.org/10.1111/j.1439-0531.2011.01958.x
  • Mohamad, K., Olsson, M., Andersson, G., Purwantara, B., van Tol, HT., Rodriguez-Martinez, H., Colenbrander, B., & Lenstra, J. A. (2012). The origin of Indonesian cattle and conservation genetics of the Bali cattle breed. Reprod. Domes. Anim., 47, 18-20. https://doi.org/10.1111/j.1439-0531.2011.01960.x
  • Narinc, D., Uckardes, F., & Aslan, E. (2014). Egg production curve science. World's analyses Poultry in Science. Poultry Journal, 70, 817-828., https://doi.org/10.1017/S0043933914000877
  • Nogales, S., Calderón, J., Lupi, T. M., Bressan, M. C., Delgado, J. V., & Camacho, M. E. (2017). A comparison of the growth performance between cattle reared in conventional systems and in feral conditions. Livest. Sci., 206, 154-160. https://doi.org/10.1016/j.livsci.2017.10.026·
  • Prihandini, P. W., Maharani, D., & Sumadi, S. (2020). Body weight, body measurements and slaughter characteristics of Madura cattle raised in Pamekasan District, East Java Province, Indonesia. Biodiversitas Journal of Biological Diversity, 21, 3415-3421. https://doi.org/10.13057/biodiv/d210801
  • Regadas Filho, J. G. L., Tedeschi, L. O., Rodrigues, M. T., Brito., L. F., & Oliveira, T. S. (2014). Comparison of growth curves of two genotypes of dairy goats using nonlinear mixed models. J. Agri. Sci., 152, 829-842. https://doi.org/10.1017/S0021859613000798
  • Lisson, S., MacLeod, N., McDonald, C., Corfield, J., Pengelly, B., Wirajaswadi, L., Rahman, R., Bahar, S., Padjung, R., Razak, N., Puspadi, K., Sutaryono, Y., Dahlanuddin., Saenong, S., Panjaitan, T., Hadiawati, L., Ash, A., & Brennan, L. (2010). A participatory, farming systems approach to improving Bali cattle production in the smallholder crop–livestock systems of Eastern Indonesia. Agricultural Systems, 103, 486-497. https://doi.org/10.1016/j.agsy.2010.05.002
  • Selvaggi, M., Laudadio, V., D'Alessandro, A. G., Dario, C., & Tufarelli, V. (2017). Comparison on accuracy of different nonlinear models in predicting growth of Podolica bulls. Journal of Animal Science, 88, 1128-1133. https://doi.org/10.1111/asj.12726
  • Sumaryadi, M. Y., Setiawati, E. N., Triyanto, A., & Armelia, V. (2021). Morphometric characteristics and reproductive performance of Pasundan cattle in the North Prianganese and Southern South Coast Region. Int. J. Zool. Res, 3, 9-17. https://doi.org/10.30564/jzr.v3i2.3087
  • Walmsley, B. J., Lee, S. J., Parnell, P. F., & Pitchford, W. S. (2016). A review of factors influencing key biological components of maternal productivity in temperate beef cattle. Animal Production Science, 58, 1-19. https://doi.org/10.1071/AN12428
  • Weber, S. H., Dos Santos, S. K., Heinzen, B. C., Viana, N. P., & Sotomaior, C. S. (2021). Comparison of nonlinear mathematical models for lamb growth analysis. Trop. Anim. Healt Prod, 53, 1-9. https://doi.org/10.1007/s11250-021-02597-3
  • Wijaya, F. M. P., Sutopo, S., Samsudewa, D., Setiyono, A., & Setiaji, A. (2023). Fresh semen quality of Bos taurus, Bos indicus and Bos sondaicus bulls in the tropical condition. Yuzuncu Yıl University Journal of Agricultural Sciences, 33(3), 420-428. https://doi.org/10.29133/yyutbd.1244506
  • Zimmerman, D. L., Núñez-Antón, V., Gregoire, V., Schabenberger, T. G., Hart, O., Kenward J. D., Verbeke, M. G., Pourahmadi, G., & Philippe, M. V. (2001). Parametric modelling of growth curve data: An overview. Test, 10, 1-73. https://doi.org/10.1007/BF02595823
There are 36 citations in total.

Details

Primary Language English
Subjects Animal Growth and Development, Animal Science, Genetics and Biostatistics
Journal Section Research Article
Authors

Asep Setiaji 0000-0002-5505-7077

Dela Ayu Lestari This is me 0000-0002-9368-0433

Maulida Arkaan Muhammad Da’i This is me 0009-0000-2748-0241

Putu Novia Gariri This is me 0009-0002-0194-5148

Sutopo Sutopo This is me 0009-0002-7458-7273

Pupus Galau Prahara This is me 0009-0006-3601-2347

Firda Tasya Kamila This is me 0009-0007-3419-1430

Syaddad Verahry Philco This is me 0009-0006-7521-8356

Fariz Zharfan Haris This is me 0009-0002-5517-9047

Early Pub Date June 20, 2025
Publication Date June 30, 2025
Submission Date February 25, 2025
Acceptance Date April 24, 2025
Published in Issue Year 2025 Volume: 35 Issue: 2

Cite

APA Setiaji, A., Lestari, D. A., Muhammad Da’i, M. A., … Gariri, P. N. (2025). The Evaluation for Recent Growth Performance of Bali Cattle using Non-linear Models. Yuzuncu Yıl University Journal of Agricultural Sciences, 35(2), 299-308. https://doi.org/10.29133/yyutbd.1646048
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