The Analysis with Gamma and McNally Models of Effect of Different Level Humate Supplemented into Diets of Laying Hen on Egg Production

Abstract

Although Turkey is one of the world's most important countries with egg production, total production is not at its current potential. The most effective way to increase total egg production is to increase productivity. In this study, egg production efficiency of rations formed by adding humate to laying hen’s basal diet at various ratios was analyzed using Gamma and McNally models. It was determined that humate added at  0.15% into diet of  laying hens  gives the maximum contribution to egg production. As a result, it is suggested that further investigations in different regions on different species and breed of poultry are needed to clarify the effect of humate supplemented into diets of laying hen on the egg production.

Keywords

• Laying hen,Humate,egg production curve

Yumurtacı Tavuk Rasyonlarına Değişik Oranlarda Katılan Humat’ın Yumurta Verimine Etkisinin Gamma ve Mcnally Modelleri ile Analizi

Öz

Türkiye yumurta üretimiyle dünyanın önemli ülkelerinden birisi olmasına rağmen, toplam üretimi mevcut potansiyeli düzeyinde değildir. Toplam yumurta üretimini artırmanın en etkin yolu verimliklik artışı sağlamaktır. Bu çalışmada yumurtacı tavuk bazal yemine değişik oranlarda humat ilave edilerek oluşturulan rasyonların yumurta verimine etkisi Gamma ve McNally modelleriyle analiz edilmiştir. Yumurtacı tavuk yemine ilave edilen %0,15 oranında humatın, yumurta verimine en fazla katkıyı sağladığı belirlenmiştir. Sonuç olarak, yumurtacı tavuk yemlerine humat ilavesinin yumurta verimi üzerine etkisine yönelik farklı bölgelerde, farklı tür ve cins kanatlılar üzerinde daha fazla ve uzun süreli çalışmaların yapılması önerilmektedir.

Anahtar Kelimeler

• Humat,Yumurtacı tavuk,yumurta üretim eğrileri

References

1. Aimonen, E.M.J., Nasi-Rauva, E., 1991. Replacement of barley by oats and enzyme supplementation in diets laying hens. 2. Interior quality and chemical composition of eggs. Acta Agric. Scand., 41, 193-205.
2. Anonim, 2015. Türkiye Yumurta Sektörü. TMMOB Ziraat Mühendisleri Odası Sektör Raporu, Ankara. Anonim, 2016. Yumurta Tavukçuluğu Verileri, 2016. Yumurta Üreticileri Merkez Birliği (Yum-Bir), Ankara.
3. Cason, J. A., Britton, W. M., 1988. Comparison of compartmental and Adams-Bell models of poultry egg production. Poultry Science 67: 213-218.
4. Cason, J. A., and G. O. Ware. 1990. Analysis of flock egg production curves using generalized growth functions. Poult. Sci. 69:1054–1069.
5. Dierck, N. A., 1989. Biotechnology aids to improve feed and feed digestion: enzymes and fermentation. Arch. Anim. Nutr. Berl., 39, 241-261.
6. Fialho, F. B., and M. C. Ledur. 1997. Segmented polynomial model for estimation of egg production curves in laying hens. Br. Poult. Sci. 38:66–73.
7. Hartley, H. O. 1961. The modified Gauss-Newton method for the fitting of nonlinear regression functions by least squares. Technometrics 3:269–280.
8. McNally, D. H., 1971. Mathematical model for poultry egg production. Biometrics 27: 735-738.

9. Miyoshi, S., Luc, M.K., Kuchida, K., Mitsumoto, T., 1996. Application of Nonlinear Models to Egg Production Curves in Chickens. Jpn. Poult. Sci., 33:178-184.
10. Narinc D., Uckardes F., Aslan E., 2014. Egg production curve analysis in poultry science. World Poultry Sci. J., 70: 817–828.
11. Narushin, V. G., and C. Takma. 2003. Sigmoid model for the evaluation of growth and production curves in laying hens. Biosystems Eng. 84:343–348.
12. Savegnago, R. P., B. N. Nunes, S. L. Caetano, A. S. Ferraudo, G. S. Schmidt, M. C. Ledur, and D. P. Munari. 2011. Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens. Poult. Sci. 90:705–711.
13. Veldhman, A., Vahl, H.A., Xylanase in broilerdiets with differences in characteristics and content of wheat. Br. Poult. Sci., 35: 537-550, (1994).
14. Wood, P. D. P., 1967. Algebraic model of the lactation curve in cattle. Nature 216: 164-165.
15. Yang, N., Wu, C., McMillan, I., 1989. A new mathematical model for poultry egg production. Poultry Science 68: 476-481.