Etlik Piliçlerde (broyler) Canlı Ağırlık ve Karkas Özellikleri ile Cinsiyet İlişkisi Üzerine Bir Araştırma

Year 2023, , 129 - 133, 28.12.2023

İsmail Gök , Tolga Tolun

https://doi.org/10.46810/tdfd.1312341

Abstract

Bu araştırmada, tavukların karkas ve parça ağırlıkları ile cinsiyetleri arasındaki ilişki düzeyinin belirlenmesi amaçlanmıştır. Bu amaçla elde edilen canlı ağırlık, karkas, but, kanat, göğüs, kalp, karaciğer ve taşlık değerleri, Kahramanmaraş ilinde ticari olarak faaliyet göstermekte olan kesimhanelerden Ross 308 hibrit etlik piliçlerine aittir. Kesimhaneden 60 adet etlik piliç temin edilmiş (30 dişi-30 erkek birey) ve kesim öncesi canlı ağırlık ve kesim sonrası ilgili karkas, tavuk parçaları (but, göğüs, kanat) ve iç organlara (kalp, karaciğer, taşlık) ait değerlerin ölçümleri alınmıştır. Araştırmada bağımlı değişken cinsiyet, bağımsız değişkenler de canlı ağırlık, karkas, but, kanat, göğüs, kalp, karaciğer ve taşlık olarak alınmış ve lojistik regresyon ikili (binary) analizinden yararlanılmıştır.
Tahmin sonuçlarına göre referans kategorisi erkek (1), model katsayılarının testinde olasılık değeri 0.036 (p<0.05) bulunmuştur. Tavukların karkas ve parça ağırlıkları ile cinsiyetleri arasındaki ilişki düzeyinin diğer bağımsız değişkenlere göre en anlamlı şekilde açıklayan bağımsız değişken göğüs (0.084), en anlamsızı da taşlık (0.939) olduğu yapılmış analiz ile belirlenmiştir.

Keywords

Tavuk, Tavuk parçaları, lojistik regresyon, cinsiyet.

A Study on Body Weight and Carcass Characteristics and Sex in Broilers.

Abstract

In this study, it was aimed to determine the level of relationship between the carcass and piece weights of chickens and their gender. The body weight, carcass, thigh, wing, breast, heart, liver and gizzard values obtained for this purpose belong to Ross 308 hybrid broiler chickens from the commercially operating slaughterhouses in Kahramanmaraş. 60 broiler chickens (30 females-30 males) were obtained from the slaughterhouse and the measurements of the body weight before slaughter and the values of the relevant carcass, chicken parts (leg, breast, wing) and internal organs (heart, liver, gizzard) after slaughter were taken. In the study, the dependent variable was sex, the independent variables were body weight, carcass, thigh, wing, breast, heart, liver and gizzard, and logistic regression binary analysis was used.
According to the estimation results, the reference category was male (1), and the probability value in the test of the model coefficients was found to be 0.036 (p<0.05). The most significant independent variable explaining the relationship between carcass and piece weights and gender of chickens compared to other independent variables was found to be breast (0.084), and the most insignificant was gizzard (0.939).

Keywords

Chicken, Chicken parts, logistic regression, gender.

References

• Groom GM. Factors affecting poultry meat quality. CHIEM – Options mediterranees. NAMESAKE. Ministry of Agriculture, Fisheries and Food. 1990; Cambridge, UK.
• Yetişir R, Karakaya M, İlhan F, Yılmaz MT, Özalp B. The effects of different lighting programs and gender on some chicken meat quality traits affecting consumer choice. Animal Production, 2008; 49(1):20-28.
• Kahraman T, Nazli B, Ergun O. Effects of electrical stimulation on meat quality. Journal of Istanbul University Faculty of Veterinary Medicine, 2006;32(2):23-30.
• Debut M, Berri C, Bae´za E, Sellier N, Arnould C, Guemene D, Jehl N, Boutten B., Jego Y, Beaumont C, Le Bihan-Duval E. Breeding and genetics. Variation of chicken technological meat quality, 2003;82:1829–1838.
• Ozbek M. Different housing systems and effects of genotype on slaughter and carcass characteristics and meat quality in broilers. Uludağ University, Institute of Health Sciences, Department of Veterinary-Zootechnics, 2021, PhD Thesis, Bursa, p. 69.
• Cetin I, Cetin E, Cavusoglu E, Yesilbag D, Abdourhamane, IM, Özbek M, Petek M. Comparison of some meat quality traits in slow and fast growing broilers raised in traditional deep litter and grilled ground. Journal of Lalahan Livestock Research Institute, 2018;58(1): 7-13.
• Petek M. ''The effect of gender on carcass characteristics and offal products in broilers'', Journal of Uludağ University Faculty of Veterinary Medicine, 1999; 18(1-2): 195-204.
• Kalayci S. SPSS applied multivariate statistical techniques, Asil Publishing House, 2016; 273-274.
• Ozdamar K. Statistical data analysis with package programs, 2nd Edition, Kaan Bookstore, Kastamonu, 1999; pp.475-479.
• Elhan A. Analysis of Logistic Regression Analysis and Its Application in Medicine, Ankara University, Master Thesis, Ankara, 1997.
• Heise MA, Myers RH. Optimal designs for bivariate logistic regression, Biometrics, 1996;14:613-623.
• Agresti A. An Introduction To Categorical Data Analysis, 1996; Vol: 1350, New York: Wiley.
• Alpar R. Multivariate Statistical Methods (4th Edition), Detay Publishing, Ankara, 2013.
• Chatfield C, Collins A. Introduction to Multivariate Analysis, Chapman & Hall, London, 1992.
• Yetişir R, Karakaya M, İlhan F, Yılmaz MT, Özalp B. 2008. Different Lighting Programs and Gender Effects on Some Chicken Meat Quality Characteristics Affecting Consumer Preference. Journal of Animal Production, 49(1):20-28.
• İlhan U, Yetişir R. 2009. Comparison of Lighting Programs Commonly Used in Broiler Breeding in Terms of Yield Performance and Some Carcass Characteristics. Selçuk Journal of Agriculture and Food Science, 23(47):63-72.
• Atasoy F. 2022. Efficiency of the Same Growth and Short-Term Feed Restriction in the Early Period According to Gender in Broiler Flocks. Ankara University Faculty of Veterinary Medicine Journal, 2-3(44):215-223.
• Yavuz E, Önem AB, Kaya F, Çanga D, Şahin M. Modeling of Individual Growth Curves in Japanese Quails. Black Sea Journal of Engineering and Science, 2019;2(1):11-15.
• Tahtalı Y, Şahin M, Bayburt L. Comparison of different growth curve models in romanov lambs, Kafkas University Veterinary Faculty Journal, 2020;26(5):609-615.
• Eratlı Şirin Y, Şahin M. Investigation of factors affecting the achievement of university students with logistic regression analysis: School of physical education and sport example, Sage Open, 2020; 10(1).
• Yalçınöz E, Şahin M. Modeling of egg production curves in poultry. Kahramanmaraş Sütçü İmam University Journal of Agriculture and Nature, 2020; 23(5):1373 –1778.