Journals / Kafkas Üniversitesi Veteriner Fakültesi Dergisi / 2013 / Cilt: 19 - Sayı: 4

Farklı yerleşim sıklıklarındaki etlik piliçlerin büyüme eğrilerinin Gompertz modeli ile karşılaştırılması

Comparison of growth curves of broiler under different stocking densities by Gompertz model

Pages
669–672
DOI
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⚡ TL;DR(Too Long; Didn't Read)

The current study suggested that stocking density of 9 bird/m2 was better for the broiler growth of the different stocking densities on the base of mature live weight (A), coefficient of determination (R2) and mean square error (MSE).

📌 3 Key Takeaways

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Objective & Hypothesis:The knowledge of the growth curve in poultry science is very useful for describing growth kinetics and setting commercial management procedures.
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Key Findings & Data:The objective of this research was to fit the Gompertz growth curve from hatching weights to 42 d-old weights of broilers in 3 stocking density groups.
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Conclusion & Impact:The current study suggested that stocking density of 9 bird/m2 was better for the broiler growth of the different stocking densities on the base of mature live weight (A), coefficient of determination (R2) and mean square error (MSE).
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The knowledge of the growth curve in poultry science is very useful for describing growth kinetics and setting commercial management procedures. The objective of this research was to fit the Gompertz growth curve from hatching weights to 42 d-old weights of broilers in 3 stocking density groups. A total of 284 Ross 308 broilers randomly divided into 3 stocking density groups (9, 13 and 17 birds/m2) in this experiment. All birds were weighted weekly. The asymptotic weight (A) of broiler chickens for 9, 13 and 17 bird/m2 stocking density groups were 4198.46, 3807.45 and 3999.92 g, respectively (P<0.05). The growth rates (K) of broiler chickens for 9, 13 and 17 bird/m2 stocking density groups were 0.055, 0.058 and 0.052, respectively (P<0.01). The coefficient of determination for all stocking density groups were 0.998, 0.997 and 0.996, respectively (P<0.05). Moreover, the mean square error (MSE) value was lowest for 9 bird/m2 group (P<0.05). The current study suggested that stocking density of 9 bird/m2 was better for the broiler growth of the different stocking densities on the base of mature live weight (A), coefficient of determination (R2) and mean square error (MSE).

Özet

Kanatlı biliminde büyüme eğrisinin bilinmesi büyümenin tarifinde ve yetiştirme tekniklerinin uygulanmasında çok önemlidir. Bu araştırmanın amacı kuluçkadan 42. gün ağırlığına kadar üç yerleşim sıklığında yetiştirilen etlik piliçlerden elde edilen canlı ağırlıkları, Gompertz büyüme eğrisi modeli ile tahmin etmektir. Denemede 3 yerleşim sıklığında (9, 13 ve 17 etlik piliç/m2) tesadüfen dağıtılan toplam 284 adet Ross 308 etlik piliç kullanılmıştır. Bütün hayvanlar haftalık olarak tartılmıştır. 9, 13 ve 17 etlik piliç/m2 yerleşim sıklığında etlik piliçlerin, asimptotik ağırlıkları (A) sırasıyla; 4198.46, 3807.45 ve 3999.92 g olarak (P<0.05); büyüme oranı (K) sırasıyla 0.055, 0.058 ve 0.052 olarak (P<0.01) tahmin edilmiştir. Tüm yerleşim sıklıklarında belirtme katsayısı değeri (R2) sırasıyla 0.998, 997 ve 0.996 olarak bulunmuştur (P<0.05). Ek olarak hata kareler ortalaması (MSE) yerleşim sıklığı 9/m2 olan grupta en düşüktür (P<0.05). Bu çalışmanın sonucunda tahmini ergin canlı ağırlığa (A), belirtme katsayısı değeri (R2) ve hata kareler ortalamasına (MSE) göre 9 etlik piliç/m2 olan yerleşim sıklığında etlik piliçlerin büyümelerinin daha iyi olduğu söylenebilir.

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Cite This Article

ŞEKEROĞLU, A., TAHTALI, Y., SARICA, M., GÜLAY, M. Ş., ABACI, S. H., DUMAN, M. (2013). Farklı yerleşim sıklıklarındaki etlik piliçlerin büyüme eğrilerinin Gompertz modeli ile karşılaştırılması. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, Cilt: 19 - Sayı: 4, 669–672. https://ajindex.com/articles/272814

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References (15)

  1. Durmani Kuhi H, Porter T, López S, Kebreab E, Strathe AB, Dumas A, Dijkstra J, France J: A review of mathematical functions for the analysis of growth in poultry. World Poultry Sci J, 66 (2): 227-240, 2010
  2. Sarıca M, Erensayın C: Etlik piliç yetiştiriciliği. In, Türkoğlu M, Sarica M (Eds): Tavukçuluk Bilimi. s.239-263, Bey Ofset Matmacılık, Ankara, 2009
  3. Şekeroğlu A, Berberoğlu E, Demir E, Sarıca M: Etlik piliçlerde yerleşim sıklığının performansa ve atlık nem düzeyine etkisi
  4. Doğuanadolu Kanatlı Sempozyumu, 21-24 Mayıs, Van, s.11-16, 2001
  5. El-Deek AA, Al-Harthi MA: Responses of modern broiler chicks to stocking density, green tea, commercial multi enzymes and their ınteractions on productive performance, carcass characteristics, liver composition and plasma constituents. Int J Poult Sci, 3 (10): 635-645, 2004
  6. Türkyılmaz MK: The effect of stocking density on stres reaction in broiler chickens during summer. Turk J Vet Anim Sci, 32 (1): 31-36, 2008
  7. Skomorucha I, Muchacka R, Osnówka-Czajka SE, Herbul E: Response of broiler chickens from three genetic groups to different stocking densities. Ann Anim Sci, 9 (2): 175-184, 2009
  8. Shanawany MM: Broiler performance under high stocking densities. Br Poult Sci, 29 (1): 43-52, 1988
  9. Feddes JJR, Emmanuel EJ, Zuidhoft MJ: Broiler performance, body weight variance, feed and water intake, and carcass quality at different stocking densities. Poult sci, 81 (6): 774-779, 2002
  10. Porter T, Kebreab E, Darmani Kuhi H, Lopez S, Strathe AB, France J: Flexible alternatives to the Gompertz equation for describing growth with age in turkey hens. Poult Sci, 89 (2): 371-378, 2010
  11. Goto T, Goto N, Shiraishi J, Bungo T, Tsudzuki M: Comparison of growth curves of four breed of Japanese native chicken, onaga-dori, tosa-jidori, ukokkei and hinai-dori. J Anim Vet Adv, 9 (9): 1362-1365, 2010
  12. Ahmadi H, Mottaghitalab M: Hyperbolastic models as a new powerful tool to describe broiler growth kinetics. Poult Sci, 86 (11): 2461-2465, 2007
  13. Fitzhugh HA: Analysis of growth curves and strategies for altering their shape, J Anim Sci, 42 (4): 1036-1051, 1976
  14. Mignon-Grasteau S, Beaumont C, Le Bihan-Duval E, Poivey JP, Rochambeau de H, Ricard FH: Genetic parameters of growth curve parameters in male and female chickens. Br Poult Sci, 40 (1): 44-51, 1999
  15. Rogers SR, Pesti GM, Marks HL: Comparison of three nonlinear regression models for describing broiler growth curves. Growth, 51 (2): 229-239,1987. 15.