Research Note: Analysis of Growth Curve Patterns for Muscovy Ducks Using Gompertz and Logistic Models

Document Type : Research Note

Authors

Department of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Tembalang Campus, Semarang, 50275 Central Java, Indonesia

Abstract

This study aimed to estimate the growth parameters of Muscovy ducks. The superiority of the study offers insightful information on the Muscovy duck growth curve, makes quantitative comparisons easier, allows for predictive capacities, and quickly finds problems. A total of 40 Muscovy ducks called “Rambon” were used in the study, consisting of 12 males and 28 females. Body weight was weighed periodically every two days from the day-old ducks (DOD) until 60 days of age. The data was analyzed by using Gompertz and Logistic models. The growth curves were analyzed, and parameters such as adult body weight (A), integral constant (B), and growth rate (K) were determined. Inflection points were also identified. Body weight (Wi) and age at the inflection (Ai) point using Gompertz were 1060.95 g and 46.34 d; 613.41 g and 30.52 d; 712.56 g and 36.81 d, respectively for males, females, and the unsexed. By using Logistic model, the Wi and Ai for males were 934.60 g and 41.46 d, females were 670.52 g and 32.96 d, and unsexed were 739.11 g and 36.56 d. Results showed that the Gompertz model generally outperformed the Logistic model, with lower AIC, BIC, MSE values and slightly higher R2 for all sex groups, indicating superior fit and predictive accuracy. These findings offer valuable insights into Rambon Muscovy duck growth dynamics, aiding in breeding and production strategies to enhance economic efficiency and sustainability. Farmers can utilize these models to optimize feeding schedules and make informed decisions about slaughtering, ultimately improving Muscovy duck production.

Keywords

References

Aggrey SE. 2002. Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poultry Science, 81(12):1782-1788. DOI: 10.1093/ps/81.12.1782
Beiki H, Pakdel A, Moradi-Shahrbabak M & Mehrban H. 2013. Evaluation of growth functions on Japanese quail lines. The Journal of Poultry Science, 50: 20-27. DOI: 10.2141/jpsa.0110142
Faraji Arough H, Rokouei M, Maghsoudi A & Mehri M. 2019. Evaluation of nonlinear growth curves models for native slow-growing Khazak chickens. Poultry Science Journal, 7: 25-32. DOI: 10.22069/psj.2019.15535.1355
Goshu AT & Koya PR. 2013. Derivation of inflection points of nonlinear regression curves-implications to statistics. American Journal of Theoretical Applied Statistics, 2: 268-272. DOI: 10.11648/j.ajtas.20130206.25
Kaewtapee C, Prahkarnkaeo K & Bunchasak C. 2018. Effect of sex on growth curve, production performance and carcass quality of Cherry Valley ducks. Journal of Applied Animal Science, 11(2): 9-18.
Khabiri A, Toroghi R, Mohammadabadi M & Tabatabaeizadeh S. 2022. Cloning and nucleotide sequencing of the complete matrix protein of Newcastle disease virus subgenotype VII. 1.1 prevalence in broiler flocks of northeastern Iran. Modern Genetic Journal, 17 (2):113-125.
Khabiri A, Toroghi R, Mohammadabadi M, & Tabatabaeizadeh SE. 2023. Introduction of a Newcastle disease virus challenge strain (sub-genotype VII. 1.1) isolated in Iran. Veterinary Research Forum, 14 (4): 221. DOI: 10.30466/vrf.2022.548152.3373
Kurnianto E, Shinjo A & Suga D. 1997. Comparison of the three growth curve models for describing the growth patterns in wild and laboratory mice. Journal of Veterinary Epidemiology, 1: 49-55. DOI: 10.2743/jve.1.49
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. DOI: 10.1111/j.2041-210X.2010.00063.x
Moazeni SM, Mohammadabadi M, Sadeghi M, Shahrbabak HM, Koshkoieh AE & Bordbar F. 2016a. Association between UCP Gene Polymorphisms and Growth, Brreeding Value of Growth and Reproductive Traits in Mazandaran Indigenous Chicken. Open Journal of Animal Science, 6:1-8. doi: 10.4236/ojas.2016.61001
Moazeni SM, Mohammadabadi MR, Sadeghi M, Moradi Shahrbabak H, Esmailizadeh AK. 2016b. Association of the melanocortin-3(MC3R) receptor gene with growth and reproductive traits in Mazandaran indigenous chicken. Journal Livestock Science and Technology, 4:51-56.
Mohammadabadi MR, Nikbakhti M, Mirzaee HR, Shandi A, Saghi DA, Romanov MN & Moiseyeva IG. 2010. Genetic variability in three native Iranian chicken populations of the Khorasan province based on microsatellite markers. Russian journal of genetics, 46 (4):505-509. DOI: 10.1134/S1022795410040198
Mohammadifar A & Mohammadabadi MR. 2017. The Effect of Uncoupling Protein Polymorphisms on Growth, Breeding Value of Growth and Reproductive Traits in the Fars Indigenous Chicken. Iranian Journal of Applied Animal Science, 7: 679-685.
Mohammadifar A & Mohammadabadi MR. 2018. Melanocortin-3 receptor (mc3r) gene association with growth and egg production traits in Fars indigenous chicken. Malaysian Applied Biology, 47:85–90.
Moharrery A & Mirzaei M. 2014. Growth characteristics of commercial broiler and native chickens as predicted by different growth functions. Journal of Animal and Feed Sciences, 23: 82-89. DOI: 10.22358/jafs/65720/2014
Nahashon SN, Aggrey SE, Adefope NA, Amenyenu A & Wright D. 2006. Growth characteristics of pearl gray guinea fowl as predicted by the Richards, Gompertz, and Logistic models. Poultry Science, 85: 359-363. DOI: 10.1093/ps/85.2.359
Narinc D, Uckardes F & Aslan E. 2014. Egg production curve analyses in poultry science. World's Poultry Science Journal, 70(4): 817-828. DOI: 10.1017/S0043933914000877
Nguyen Hoang T, Do HT, Bui DH, Pham DK, Hoang TA & Do DN. 2021. Evaluation of nonlinear growth curve models in the Vietnamese indigenous Mia chicken. Animal Science Journal, 92: 1-7. DOI: 10.1111/asj.13483
Ningsih RY, Pratidina H, Putri JC & Putri ARI. 2022. Fenotipe bobot badan dan ukuran tubuh entog (Cairina moschota) didasarkan pada jenis kelamin yang berbeda. REKASATWA: Jurnal Ilmiah Peternakan, 4(1): 22-26. DOI: 10.33474/rekapet.v4i1.15
Oguntunji AO & Ayorinde KL. 2014. Sexual size dimorphism and sex determination by morphometric measurements in locally adapted Muscovy ducks (Cairina moschata) in Nigeria. Acta Agriculturae Slovenica, 104:15-24. DOI: 10.14720/aas.2014.104.1.2
Prayogo WP, Suprijatna E & Kurnianto E. 2017. Comparison of two growth models in analysing the growth of Magelang ducks at Banyubiru Non-Ruminant Livestock Breeding and Cultivation Centre, Semarang Regency. Jurnal Sain Peternakan Indonesia, 12: 239-247. (In Indonesia). DOI: 10.31186/jspi.id.12.3.239-247
SAS (Statistical Analysis System). 2021. SAS/STAT® 9.4. User's Guide. SAS Institute Inc. Cary, North Carolina
Setiaji A, Lestari DA, Ma'rifah B, Krismiyanto L, Agusetyaningsih I & Sugiharto S. 2023. Gomperzt nonlinear model for predicting growth performance of commercial broiler chickens. Journal of the Indonesian Tropical Animal Agriculture, 48: 1-13. DOI: 10.14710/jitaa.48.2.143-149
Suresh KP, Patil S, Indrabalan UB, Sridevi R, Krishnamoorthy P, Rajamani S & Roy P. 2021. Evolutionary analysis and detection of positive selection of hemagglutinin and neuraminidase genes of H5n1 avian influenza from chicken, ducks and goose across Asia. Exploratory Animal and Medical Research, 10: 169-178. ISSN:2319-247X
Susanti T. 2021. Breeding strategy of Local Muscovy to support the development of meat type ducks industry. Indonesian Bulletin of Animal and Veterinary Sciences, 31: 109-118. DOI: 10.         14334/wartazoa.v3li3.2671
Susanti T & Purba M. 2017. The growth of local white muscovy during starter and grower periods. Jurnal Ilmu Ternak dan Veteriner, 22: 63-67. DOI: 10.14334/jitv.v22i2.1615
Vitezica ZG, Marie-Etancelin C, Bernadet MD, Fernandez X & Robert-Granie C. 2010. Comparison of nonlinear and spline regression models for describing mule ducks growth curves. Poultry Science Journal, 89: 1778-1784. DOI: 10.3382/ps.2009-00581
Yakubu A. 2013. Characterisation of the local Muscovy ducks in Nigeria and its potential for egg and meat production. World's Poultry Science Journal, 69: 931-938. DOI: 10.1017/S0043933913000937
Yusinta EN, Kurnianto E & Sutopo S. 2017. Analysis of growth parameters of third generation Magelang ducks in the non ruminant livestock breeding centre Banyubiru ducks working unit. Jurnal Ilmu-Ilmu Peternakan Universitas Brawijaya, 27: 44-53. (In Indonesian). DOI: 10.21776/ub.jiip.2017.027.02.06
Poultry Science Journal
Volume 12, Issue 2
September 2024
Pages 161-167

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