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العنوان
Using bioinformatics snp to improve immune genetic response against some pathogens in poultry /
المؤلف
SALEH,MEDHAT SALEH MOHAMED.
هيئة الاعداد
باحث / مدحت صالح محمد صالح
مشرف / ماهر حسب النبى خليل
مناقش / محمود مغربى عراقى
مناقش / عصام عباس الجندى
الموضوع
USING BIOINFORMATICS SNP POULTRY. AGAINST SOME PATHOGENS POULTRY.
تاريخ النشر
2019.
عدد الصفحات
130 p.:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
العلوم الزراعية والبيولوجية
تاريخ الإجازة
1/1/2019
مكان الإجازة
جامعة بنها - كلية الزراعة - الإنتاج الحيواني
الفهرس
Only 14 pages are availabe for public view

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Abstract

Simple crossbreeding experiment was performed between Fayoumi (F) and Rhode Island Red (RIR) chickens to get ½F½RIR cross and its reciprocal ½RIR½F cross. The experiment was started in November 2016 in the Poultry Farm, Department of Animal Production, Faculty of Agriculture, Benha University, Egypt. The laboratorial examinations for bacterial count were carried in the labs of Research Park, Faculty of Agriculture, Benha University. The laboratorial analyses for molecular biology were carried out in the Labs of Genetics Department, Faculty of Agriculture, Benha University, Egypt, and molecular biology labs, Avian Pathology Section, Department of Veterinary Medicine, University of Bari, Italy during short-term period from April 2017 to September 2017. A total number of 480 chicks fathered by 40 sires and mothered by 240 dams were chosen randomly for quantitative analyses and 96 samples for molecular analyses. The main objectives of the present study were: (1) to estimate the crossbreeding effects (i.e. direct additive effect, maternal additive effect and direct heterosis) on body weights (BW) at hatch, 1, 2, 4, 6, 8 and 10 weeks of age, daily gains (DG), feed intake (FI) and feed conversion (FC) during the intervals of 0-2, 2-4, 4-6, 6-8 and 8-10 weeks of age, Salmonella typhimurium and Enterococcus faecium colonization in the cecum, caecal pH and IgA, IgG and IgM antibody titers at the 4th week of age, (2) to characterize the polymorphism of SNPs in the gallinacins 2, 3, 4, and 5 candidate genes across the four genetic groups using the PCR-RFLP technique, (3) to detect the associations between immune gallinacin candidate genes with body weights and feed conversions, Salmonella and Enterococcus ceacal bacterial count and antibody titers and (4) to identify SNPs of Gallinacin genes between parental breeds and their crosses using bioinformatics analyses.