Prediction of Internal Quality Characteristics by Regression Equations Using External Quality Characteristics of Egg in Cream Coloured Laying Hens

Sezai Alkan

Makale detayları

Prediction of Internal Quality Characteristics by Regression Equations Using External Quality Characteristics of Egg in Cream Coloured Laying Hens

Yazarlar:

Sezai Alkan

Yayıncı:

Ordu University

Ana Başlıklar:

Hayvan Bilimi (Diğer)

Dergi:

Akademik Ziraat Dergisi Vol.13 Issue 2, pp.409-419

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001336056

pISSN:

2147-6403

Anahtar kelimeler:

Özet:

 Objective: This study was conducted to predict egg weight, eggshell weight, shell thickness, eggshell surface area, egg shape index, egg yolk height, egg yolk diameter, egg yolk, egg yolk weight, albumen weight using various egg characteristics as independent variables. Materials and Methods: In this study, Lohmann Sandy eggs obtained from a commercial free range egg production enterprise in Ordu province were used. The eggs used in this study were collected at 24, 28, 32, 36, 40, 44, 48 and 52 weeks of age and calculations were made using a total of 30 eggs in each of these weeks. During the research, an electronic scale sensitive to 0.01 g was used for weighing the eggs, a caliper sensitive to 0.01 mm was used for measuring egg length, width, and yolk diameter, a flat glass-covered table was used for breaking the eggs, a tripod micrometer sensitive to 0.01 mm was used for measuring yolk and albumen height, and a micrometer sensitive to 0.01 mm was used for measuring shell thickness. In the study, regression equations were developed using eggs obtained at 24, 28, 32, 36, 40, 44, 48 and 52 weeks of age. Results: In the study, egg weight was significantly and positively correlated with egg length and egg width and the correlation values were 0.569 and 0.859 for egg length and egg width, respectively. At the same time, a high phenotypic correlation was found between egg weight and white weight 0.957 and a highly significant correlation was found between egg weight and yolk weight 0.610. A highly significant and positive correlation was found between albumen index and albumen height 0.893, while significant and negative correlation was found between albumen index and albumen width -0.575. Conclusion: Based on the findings, the examined traits can serve as selection criteria for improving egg weight. Furthermore, the identified correlations between internal and external egg quality traits suggest that these parameters can be improved through selection.

 Objective: This study was conducted to predict egg weight, eggshell weight, shell thickness, eggshell surface area, egg shape index, egg yolk height, egg yolk diameter, egg yolk, egg yolk weight, albumen weight using various egg characteristics as independent variables. Materials and Methods: In this study, Lohmann Sandy eggs obtained from a commercial free range egg production enterprise in Ordu province were used. The eggs used in this study were collected at 24, 28, 32, 36, 40, 44, 48 and 52 weeks of age and calculations were made using a total of 30 eggs in each of these weeks. During the research, an electronic scale sensitive to 0.01 g was used for weighing the eggs, a caliper sensitive to 0.01 mm was used for measuring egg length, width, and yolk diameter, a flat glass-covered table was used for breaking the eggs, a tripod micrometer sensitive to 0.01 mm was used for measuring yolk and albumen height, and a micrometer sensitive to 0.01 mm was used for measuring shell thickness. In the study, regression equations were developed using eggs obtained at 24, 28, 32, 36, 40, 44, 48 and 52 weeks of age. Results: In the study, egg weight was significantly and positively correlated with egg length and egg width and the correlation values were 0.569 and 0.859 for egg length and egg width, respectively. At the same time, a high phenotypic correlation was found between egg weight and white weight 0.957 and a highly significant correlation was found between egg weight and yolk weight 0.610. A highly significant and positive correlation was found between albumen index and albumen height 0.893, while significant and negative correlation was found between albumen index and albumen width -0.575. Conclusion: Based on the findings, the examined traits can serve as selection criteria for improving egg weight. Furthermore, the identified correlations between internal and external egg quality traits suggest that these parameters can be improved through selection.

 Objective: This study was conducted to predict egg weight, eggshell weight, shell thickness, eggshell surface area, egg shape index, egg yolk height, egg yolk diameter, egg yolk, egg yolk weight, albumen weight using various egg characteristics as independent variables. Materials and Methods: In this study, Lohmann Sandy eggs obtained from a commercial free range egg production enterprise in Ordu province were used. The eggs used in this study were collected at 24, 28, 32, 36, 40, 44, 48 and 52 weeks of age and calculations were made using a total of 30 eggs in each of these weeks. During the research, an electronic scale sensitive to 0.01 g was used for weighing the eggs, a caliper sensitive to 0.01 mm was used for measuring egg length, width, and yolk diameter, a flat glass-covered table was used for breaking the eggs, a tripod micrometer sensitive to 0.01 mm was used for measuring yolk and albumen height, and a micrometer sensitive to 0.01 mm was used for measuring shell thickness. In the study, regression equations were developed using eggs obtained at 24, 28, 32, 36, 40, 44, 48 and 52 weeks of age. Results: In the study, egg weight was significantly and positively correlated with egg length and egg width and the correlation values were 0.569 and 0.859 for egg length and egg width, respectively. At the same time, a high phenotypic correlation was found between egg weight and white weight 0.957 and a highly significant correlation was found between egg weight and yolk weight 0.610. A highly significant and positive correlation was found between albumen index and albumen height 0.893, while significant and negative correlation was found between albumen index and albumen width -0.575. Conclusion: Based on the findings, the examined traits can serve as selection criteria for improving egg weight. Furthermore, the identified correlations between internal and external egg quality traits suggest that these parameters can be improved through selection.

 Amaç: Bu çalışmada, çeşitli yumurta özelliklerini bağımsız değişken olarak kullanarak yumurta ağırlığı, yumurta kabuğu ağırlığı, kabuk kalınlığı, yumurta kabuğu yüzey alanı, yumurta şekil indeksi, yumurta sarısı yüksekliği, yumurta sarısı çapı, yumurta sarısı ve ak ağırlığının tahmin edilmesi amaçlanmıştır. Materyal ve Yöntem: Bu çalışmada Ordu ilinde serbest sistemde yumurta üretimi yapan ticari bir tavuk işletmesinden elde edilen Lohmann Sandy tavuklarına ait yumurtalar kullanılmıştır. Çalışmada kullanılan yumurtalar 24, 28, 32, 36, 40, 44, 48 ve 52 haftalık yaşlarda toplanmış ve bu haftaların her birinde toplam 30 adet yumurta kullanılarak hesaplamalar yapılmıştır. Araştırma sırasında yumurtaların tartılmasında 0,01 grama duyarlı elektronik terazi, yumurta uzunluğu, genişliği ve yumurta sarısı çapının ölçülmesinde 0,01 mmye duyarlı kumpas, yumurtaların kırılmasında düz cam kaplı masa, yumurta sarısı ve ak yüksekliğinin ölçülmesinde 0,01 mmye duyarlı üçayaklı mikrometre ve kabuk kalınlığının ölçülmesinde 0,01 mmye duyarlı mikrometre kullanılmıştır. Araştırmada 24, 28, 32, 36, 40, 44, 48 ve 52 haftalık yaşlarda elde edilen yumurtalar kullanılarak regresyon denklemleri geliştirilmiştir. Araştırma Bulguları: Çalışmada, yumurta ağırlığı, yumurta uzunluğu ve yumurta genişliği ile önemli ve pozitif fenotipik korelasyon göstermiş olup korelasyon değerleri yumurta uzunluğu ve yumurta genişliği için sırasıyla 0,569 ve 0,859 olarak hesaplanmıştır. Aynı zamanda, yumurta ağırlığı ile ak ağırlığı arasında 0.957 ve yumurta ağırlığı ile yumurta sarısı ağırlığı arasında önemli ve pozitif fenotipik korelasyon 0.610 belirlenmiştir. Yine albumen indeksi ile albumen yüksekliği arasında önemli ve pozitif fenotipik korelasyon 0,893 bulunurken, albumen indeksi ile albumen genişliği arasında önemli ve negatif korelasyon -0,575 bulunmuştur. Sonuç: Bu çalışmada elde edilen sonuçlara göre, incelenen özellikler yumurta ağırlığını iyileştirmek için seleksiyon kriteri olarak kullanılabilir. Ayrıca, iç ve dış yumurta kalite özellikleri arasında belirlenen korelasyonlar üzerinde durulan parametrelerin seleksiyon yoluyla geliştirilebileceğini göstermektedir.

Makale detayları

Prediction of Internal Quality Characteristics by Regression Equations Using External Quality Characteristics of Egg in Cream Coloured Laying Hens

Yazarlar:

Sezai Alkan

Yayıncı:

Ordu University

Ana Başlıklar:

Hayvan Bilimi (Diğer)

Dergi:

Akademik Ziraat Dergisi Vol.13 Issue 2, pp.409-419

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001336056

pISSN:

2147-6403

Egg quality

Free range system

Lohmann Sandy

Phenotypic correlation

Regression equationYumurta kalitesi

Serbest sistem

Lohmann Sandy

Fenotipik korelasyon

Regresyon denklemi

Sayı

Makale detayları

Yazarlar: Sezai Alkan

Yayıncı: Ordu University

Ana Başlıklar: Hayvan Bilimi (Diğer)

Dergi: Akademik Ziraat Dergisi Vol.13 Issue 2, pp.409-419

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001336056

pISSN: 2147-6403

Sayı

Yazarlar:

Sezai Alkan

Yayıncı:

Ordu University

Ana Başlıklar:

Hayvan Bilimi (Diğer)

Dergi:

Akademik Ziraat Dergisi Vol.13 Issue 2, pp.409-419

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001336056

pISSN:

2147-6403