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Discriminant Analysis (DA) Technique for Identification Sex and Breed of Rabbits Depending on Morphological Traits
Faculty
Veterinary Medicine
Year:
2023
Type of Publication:
ZU Hosted
Pages:
Authors:
Fatma Desouky Mohamed Abdallah
Staff Zu Site
Abstract In Staff Site
Journal:
Alexandria Journal of Veterinary Sciences Alexandria university
Volume:
Keywords :
Discriminant Analysis (DA) Technique , Identification , , Breed
Abstract:
Rabbits are a basic source of protein in many areas around the world. Rabbits are characterized by meat of good quality and high protein source. It is of importance to study and predict different rabbit characters. A total of 720 data values of three different breeds of rabbits (NewZeland White, Californian, and Rex) and both sexes were used. Discriminant analysis (DA) was used to classify the three rabbit breeds and sexes based on the morphological characters (body length (BL), chest circumference (CHC), abdominal circumference (ABDC), thigh circumference (THC), ear length (EL) and ear width (EW)). Data were analysed using the procedures of DA on SPSS 23 statistical package. The results were that ear width showed a strong participation (0.65) in discriminating the three breeds and explained most of the variance while body length (- 0.61) was next in importance as a predictor followed by abdominal circumference (0.53) and the other variables were less contribution in the first function. In the second function, ear width showed stronger contribution (-0.64) then chest circumference (0.56) in explaining variations followed by body length (0.50). The other variables were low contributors as predictors in classification of the three breeds. Abdominal circumference is the most significant morphological trait as a discriminating variable (0.70) in discrimination between male and female and explained most of the variance followed by ear width (0.56) then the body length (-0.53). It is found that 59.2 % correct classification of the rabbit breeds using the discriminant functions was achieved and 70.8 % correct classification of the rabbit sexes using the discriminant functions was achieved. From This study, it is concluded that rabbit breeds and sexes can be clearly identified based on morphological traits with low percent of wrong classification by using discriminant analysis which considered a suitable tool for classification purposes.
Author Related Publications
Fatma Desouky Mohamed Abdallah, "Application of Different Biostatistical Methods in Biological Data Analysis", Zagazig Veterinary Journal, ©Faculty of Veterinay Medicine, Zagazig University, 44511, Egypt. Volume 47, Number 2, p. XXX, June 2019 DOI: 10.21608/zvj, 2019
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Fatma Desouky Mohamed Abdallah, "Application of Different Biostatistical Methods in Biological Data Analysis", Zagazig Veterinary Journal, ©Faculty of Veterinay Medicine, Zagazig University, 44511, Egypt. Volume 47, Number 2, p. XXX, June 2019 DOI: 10.21608/zvj, 2019
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Fatma Desouky Mohamed Abdallah, "Statistical Modelling of Categorical Outcome with More than Two Nominal Categories", American Journal of Applied Mathematics and Statistics, 2018, Vol. 6, No. 6, 262-265 Available online at http://pubs.sciepub.com/ajams/6/6/7 ©Science , 2018
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Fatma Desouky Mohamed Abdallah, "Parametric Survival Models for Predicting of Pregnancy in Friesian Cattle", International Journal of Statistics and Applications 2018, 8(3): 129-132 DOI: 10.5923/j.statistics.20180803.03, 2018
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Fatma Desouky Mohamed Abdallah, "Role of Time Series Analysis in Forecasting Egg Production Depending on ARIMA Model", Applied Mathematics 2019, 9(1): 1-5 DOI: 10.5923/j.am.20190901.01, 2019
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