RESEARCH ARTICLE J Res Vet Med. 2021: 40 (1) 49-53 DOI:10.30782/jrvm.779699 Comparison of Growth Curve in Male Layer Chickens Widya Pintaka Bayu Putra1, Roshan Riaz2, Andrean Amar Gunawan3, Abdülkadir Orman2* 1Bursa Uludağ University, Faculty of Agriculture, Department of Animal Science, Bursa, Turkey 2Bursa Uludağ University, Faculty of Veterinary Medicine, Department of Animal Sciences, Bursa, Turkey 3Jenderal Soedirman University, Faculty of Animal Science, Department of Animal Production, Purwokerto, Indonesia Received 13-08-2020 Accepted 24-12-2020 Abstract This study was aimed to obtain the growth curve of body weight in male layer chickens (Lohman MB 202) based on Logistic and Gompertz models. The frequently data of body weight from one day age to adult age were used for growth curve prediction. Total of one thousand birds from private sector poultry farm in Tasikmalaya Regency, Indonesia were used in this study as the data source. The growth curve estimation was calculated based on Logistic (L) and Gompertz (G) models using Curve Expert 1.4. computer program. The final weight (asymptote) in birds was reached of 1111.27 g (L) and 1685.13 g (G). Therefore, the weight of inflection (Wi) of birds were reached of 555.64 g (L) and 619.53 g (G). The time of inflection (ti) and maximum growth rate (GR) of birds in both models were 6 weeks and 19 g/week respectively. In conclusion, both models had similar coefficient of determination (R2) value. However, the growth curve of Gompertz model was confirmed as better growth curve for body weight of birds than that of Logistic model due to lower of root mean square error (RMSE) value. Keywords: Body weight, growth curve, inflection and male layer. Introduction The application of mathematical model on growth curve can give a collection of parameters that might be accus- Growth is an economic trait in poultry production and tomed describe growth pattern overtime. moreover, it'll affected by genetics and environmental factors. Growth alter the breeders to expect the burden of animals at a can be expressed as an increase body size per time unit.1 selected age and to discover the stage that related to the Growth is a constant function throughout the animal’s reduction in rate of growth.4 Moreover, growth curve of lifetime from embryonic phases up to fully-grown age farm animal has been accustomed observe dynamically of and its mathematically described by growth curve models. growth course, to forecast the poultry growth law and in- Growth curve for poultry usually have the features: an ac- struct the feeding and management programs to enhance celerating phase of development from hatching, a point of the choice and breeding effects.5 inflection in the development curve at which the growth The growth curve of livestock can be estimated with sev- rate is supreme, a phase where growth amount is slowing eral nonlinear regression model of Brody, Bertalanffy, and a limiting value (asymptote) complete weight.2 In ad- Gompertz, Logistic, Richards and Weibull. However, the dition, the growth curve is to define the consistent change Logistic and Gompertz jobs have secure growing methods generated by the live weight or some portion of the animal with opinion of inflection at about 50% and 30% of the through the age increasing, which commonly is a S-shaped asymptote in birds correspondingly.6 Moreover, previous (sigmoid) curve.3 studies were worked with Logistic and Gompertz models to evaluate growth curve of broiler.7,8 But recently, study * Corresponding author: orman@uludag.edu.tr Bursa Uludağ University, Faculty of Veterinary Medicine, Department of Animal Sciences, Bursa, Turkey 49 Bayu Putra et al. 2021 that explain male layer growth curve is not reported. Two growth curve models of Logistic (L) and Gompertz Growth performance of male layer chicks are moderate, (G) were performed using Curve Expert 1.4. computer and yield and preferable meat in the carcass does not meet program and relevant models are described in the Table 2s. consumer expectations.9 On the other hand, in the Phil- The best growth curve was selected based on coefficient of ippines and some other parts of Asia, day-old layer males determination (R2) and root mean square error (RMSE) are used as a human “snack food”. In some African and values. Growth curve with highest of R2 value and lowest Asian nations, male layer chicks are raised up for meat by of RMSE values were confirmed as the best growth curve way of backyard poultry that feed for most of their diet. to predict body weight of birds from hatching to adult age. In some shops in Malaysia, layer males, which have been Table 2. The growth curve functions raised up to market weight and processed, are truly sold at an advanced value per pound than are broilers.10 Also, in Africa and Asia there are many dishes that benefit from a cockerel instead of a standard broiler.11 In Indonesia, male layer chickens were kept by many farmers for meat produc- tion. In Indonesia, the day of chick (DOC) of male layer were kept by many farmers for meat production. The ob- jective of the current study is to assess the growth curve of male layer chicken. The results of this study can be used for Results obtaining the suitable management system for male layer Growth curve analysis chickens. The growth curve analysis results with Curve Expert 1.4. Materials and Methods computer program was presented in Table 3. The final This study was conducted in one of the specific sector weight (A) in L model was lower than G model. The aver- poultry farms located at Tasikmalaya Regency, West Java, age growth rate (k) in L model was higher than G model. Indonesia. A total of one thousand male layer chickens The weight of inflection (Wi) in L model was lower than (Lohman MB 202) were used in this study. Birds were kept G model. Despite, both models had similar of time of in- in floor pen. The illumination procession provided 22 h of flection (ti) value (approximately 6 weeks) and maximum nonstop light per daytime. The vaccination of Newcastle growth rate (GR) value (approximately 19 g/week). The co- disease (ND) and Gumboro were given to each bird. A efficient of determination (R2) value in both models were marketable basal regime was given to the birds as present- similar (0.98) in both models but the lowest root mean ed in Table 1. Feed and intake water were obtainable ad square error (RMSE) value was observed in G model. libitum. Birds were measured at fixed intervals of one week Moreover, the growth curve in both models showed a sig- for 8 weeks. moid form (Figure 1). According to the both models, the Table 1. Nutrient compound of the basal regime of male layer chicken highest of GR value in birds was occurred at 42-45 days (Lohman MB 202) (Figure 2) as noted in Table 3. Table 3. Growth curve parameters, inflection point, maximum growth rate and goodness of appropriate standards Predicted weight The actual and predicted live weights in birds at 0-8 weeks age were presented in Table 4. Commonly, the predicted weight in both models were closed to actual weight. The predicted weight in L model at 0 week was too higher than actual weight. The predicted weight in G model at 7 and 8 weeks were closed to the actual weight. Moreover, the max- imum weekly growth rate in both models were showed at 7th week. 50 Bayu Putra et al. 2021 Table 4. Measured and predicted live weights and growth rates accord- less root mean square error (RMSE). ing to two growth curves in male layer chickens (Lohman MB 202) The final weight (A) of birds in the current study were low- er than some Broiler strains as presented in Table 5. The maturing rate (k) in studied birds were closed to strain Ross 30815 and Hubbard JA5716 Broilers. The k value in studied birds were higher than in Creole chickens.17 The weight of inflection (Wi) in studied birds were lower than some Broiler strains (Table 5). N’dri et al. (2018)18 ob- tained Wi of 554.01 g and 586.10 g in Cote d’Ivoire chicken breeds and lower than in this study. The time of inflection (ti) in studied birds were closed to strain Hubbard JA57 Broiler.16 The growth rate (GR) in studied birds were lower than some Broiler strains (Table 5). The growth curve of G Discussion model was better than L model to predict the body weight According to the present study the mean body weight at from hatching to final weight. Previous studies reported first week of age was found 70 g. The mean body weight that G model was accurate to explain the growth curve of and weight obtained at the first week in this study was low- Broiler,19,20,16,7 Ghanaian,21 nondescript Italian22 and Polish er than the weight gain reported by the Habig et al (2016).12 Greenleg Patridge.23 Habig et al (2016) studied the Lohmann Brown males and Table 5. The growth curve parameters, maturing rate, inflection point reported 80.9 g mean body weight at first week of age and growth rate of commercial Broiler chickens in certain previous re- which is also higher than the results presented by Koenig ports et al (2012). This difference in the mean weight is associat- ed with the day-old chick weight and line under study. The body weight gain is significantly influenced by the line and the space covered at its sitting and standing position. Fur- thermore, higher weight gain and uniformity was observed in Lohmann dual males than the Lohmann brown males. The results of the presented study at fourth and seventh week of age are comparable with the results demonstrated by Koenig et al (2012), who reported the mean weigh 344g and 681g respectively. Kreuzer et al (2019)13 studied the Lohmann Brown, Hubbard and Lohmann Dual purpose male layer and found the higher mean weight in the Broiler males throughout the study followed by the dual-purpose male layers and lastly the Lohmann male layers. The per- formance of the dual-purpose male layer was higher than the slow growing broiler males and the layer males at lower dietary protein levels. The Final weight gain in this study The male layer chicken in this study showed lower growth was lower than the reported weight gain by the other re- rate than Broiler chicken. It can be caused by genetical fac- searchers. Giersberg et al. (2018)14 reported the final male tor. Broiler chicken was developed for meat production layer weight gain for Lohmann Brown and dual-purpose with fast growth trait. Hence, layer chicken was developed stains 1.3 and 1.5 kg, respectively. Meanwhile the authors for egg production with medium body size trait. Accord- also reported the weight daily gain of 9 to 13 g and 18 to ing to Figure 1, the final weight of male can be obtained 20 for organic and conventional rearing system. Leenstra at more than 100 days (14 weeks). Hence, obtaining the (2014) studied the effect of the rearing system on the male final weight in male layer chicken needed a long time and layers and reported the higher weight gain at floor system feed cost. In strain Ross 308 Broiler, the final weight was than cage system and the rearing system significantly influ- reached of about 3000-4000 g at 11 weeks age.8 Common- enced the weight gain at third, seventh and eleventh week ly, harvest time in male layer chicken at 8 weeks age with of their age. The curve fitting of the G model is more closer slaughter weight about 1 kg. Therefore, most of this chick- than the L model and higher accuracy in the weight esti- en was supplied to restaurants in Indonesia because of bet- mation can be done with the G model with higher R2 and ter meat taste than Broiler meat. 51 Bayu Putra et al. 2021 Tierz. 2005;49(3):293-299. 4. Yakupoğlu Ç, Atil H. Comparison of growth curve models on broilers II. Online J Biol Sci. 2001;1(7):682-684. 5. Yang Y, Mekki DM, Lv LJ, et al. Analysis of fitting growth models in Jinghai mixed- sex Yellow chick- en. Int J Poultry Sci. 2006;5(6):517-521. 6. Ricklefs RE. Patterns of growth in birds. Ibis. 1968;110(4):419–451. 7. Eleroğlu H, Yıldırım A, Şekeroğlu A, et al. Comparison of growth curves by growth models in slow-growing chicken genotypes raised the organic system. Int J Ag- ric Biol. 2014;16(3):529-535. 8. Eleroğlu H, Bircan H, Yıldırım A, et al. Comparison of growth curve using some nonlinear m o d e l s in Broiler production. J Poultry Res. 2016;13(2):12-16. 9. Koenig, M, Hahn G, Damme K, et al. Utilization of laying-type cockerels as c o - quelets: influence of genotype and diet characteristics on growth performance and c a r c a s s composition. Arc Geflügelkd /Europ. Poult. Sci. 2012; 76:197–202. 10. O’Keefe T. 2014. Is there a better use for male layer chicks? https://www.wattagnet.com/articles/18998-is-there- Conclusion a-better-use-for-male-layer- chicks? Accessed July 7, The weight of male layer chicken (Lohman MB 202) was 2020. reached of 555.64 g (L) and 619.53 g (G) at about 6 weeks 11. Leenstra F. 2014. Raising cockerels as part of age. The growth curve of G model had lower of RMSE val- free range egg production. Low Input B r e e d s ue than L model and suggested that the G model was ac- Technical Note. http://www.lowinputbreeds.org/ curate to predict body weight of studied birds. According fileadmin/documents_organicresearch/lowinput- to G model, the body weight (Wt) of studied birds can be bree ds/tn-4-5-leenstra-raising-cocker- predicted with mathematical formula of els-2014.pdf. Accessed July 7, 2020. 12. Habig C, Bayerbach M, Kember N. Comparative anal- Acknowledgements yses of layer males, dual purpose m a l e s The author thanks to the farmers in Tasikmalaya Regency and mixed sex broilers kept for fattening purposes re- for their cooperate and support to this research. garding their floor space covering, weight-gain and several animal health traits. Arc G e f l ü g e l k d . Funding 2016; 80:1-10. This research was funded and supported by Gunung Jati 13. Kreuzer M, Müller S, Mazzolini L, et al. Are dual-pur- Farm. pose and male layer chickens more resilient against a low-protein low-soybean diet References than slow-growing broilers? Br P o u l t 1. Lawrence TLJ, Fowler VR. Growth of farm animals Sci. 2020; 61:1:33-42 2nd ed. Wallingford, UK. CAB Inter nat iona l ; 14. Giersberg MF, Kemper N. Rearing male layer chick- 2002. ens: a German perspective. Agriculture. 2018;8(176). 2. Fitzhugh HA. Analysis of growth curve and strat- 15. Moharrery A, Mirzaei M. Growth characteristics of egies for altering their shape. J Anim S c i . commercial Broiler and native chickens as pre- 1976;42(4):1036-1051. dicted by different growth functions. J Anim Feed Sci. 3. Ersoy E, Mendes M, Aktan S. Growth curve estab- 2014;23, 82- 89. lishment for American Bronze turkeys. Arch 16. Narinc D, Aksoy T, Karaman E, et al. Analysis of fitting 52 Bayu Putra et al. 2021 growth models in medium growing chicken raised indoor system. Trends Anim Vet Sci. 2010;1(1):12-18. 17. Estrada AM, Ceron FG, Martinez AP, et al. Compari- son of four nonlinear growth models in Creole chickens of Mexico. Poultry Sci. 2019;11(3):1-6. 18. N’dri AL, Koua BHW, Ahouchi VS, et al. Body weight and growths curve parameters evaluation of three chicken genotypes (Gallus gallus domesti- cus) reared in claustration. J Adv Vet Anim Res. 2018;5(2):188-195. 19. Atil H, Grossman M, Takma Ç. Comparison of growth curve models on average and individual body weights in chickens. Arc Geflügelkd. 2007;71(1):1-5. 20. Topal M, Bolukbasi SC. Comparison of nonlinear growth curve models in Broiler chickens. J Appl Anim Res. 2008;34(2):149-152. 21. Osei-Amponsah R, Kayang BB, Naazie A, et al. Evalu- ation of models to describe temporal growth in Lo- cal chicken of Ghana. Iranian J Appl Anim Sci. 2014;4(4):855-861. 22. Selvaggi M, Laudadio V,Dario C, et al. Modelling growth curves in a nondescript Italian chicken breeds: an oppurtunity to improve ge- netic and feeding strategies. J Poultry Sci. 2015; 52:288-294. 23. Michalczuk M, Damaziak K, Goryl A. Sigmoid models for the growth curves in medium-growing meat type chickens, raised under semi-confined conditions. Ann Anim Sci. 2016;16(1):65-77. 53