عنوان المقالة: USING THE EXTERNAL EGG TRAITS TO PREDICT THE SHAPE INDEX BY USING MULTIPLE LINEAR REGRESSION AMONG LOCAL AND COMMERCIAL CHICKEN
احمد سامي شاكر | Ahmed Sami Shaker | 6719
نوع النشر
مقال علمي
المؤلفون بالعربي
المؤلفون بالإنجليزي
Ahmed Sami Shaker, Questan Ali Ameen, M.J. Ortega Torres, Jenan Hassen Chassab
الملخص الانجليزي
Egg shape index (%) have been used as a good indicator that linked with several traits in chicken and it seemed as phenomena for recognizing between and within the species. The aim of current study is using the multiple linear regression for predicting the shape index from the egg external parameters (egg weight, egg length and egg breadth). 360 eggs were used for four lines, two of them Kurdish local chicken (Black and Black brown neck) and two commercial strains (Isa brown and Ross). Result showed that significant differences (P < 0.05) were observed between the four lines in egg shape index, egg weight, egg length and egg breadth. Moreover the Egg shape index was more affected by the egg breadth for all the lines. The prediction of egg shape index using multiple regression analysis could be a good method for estimating the age, suitable age for hatching chicks and breeding value of chickens. Furthermore, the relationships existing between egg shape index and other parameters studied may be useful in breeding plan.
تاريخ النشر
01/12/2020
الناشر
Plant Archives
رقم المجلد
20
رقم العدد
2
ISSN/ISBN
0972-5210
الصفحات
6685-6688
رابط الملف
تحميل (70 مرات التحميل)
رابط خارجي
http://www.plantarchives.org/20-2/6685-6688%20(7022).pdf
الكلمات المفتاحية
Multi-regression, weight, egg shape index, external traits
رجوع