Response to Selection for Body Weight in Japanese Quail (Coturnix coturnix japonica)
محورهای موضوعی : Camelاس. هوسن 1 , آ.م. عبد الرحمان ال-خدری 2 , آ.م. حسن 3
1 - Deprtment of Animal Production, College of Agriculture, University of Duhok, Kurdistan, Iraq
2 - Deprtment of Animal Production, College of Agriculture, University of Duhok, Kurdistan, Iraq
3 - Deprtment of Animal Production, College of Agriculture, University of Duhok, Kurdistan, Iraq
کلید واژه: body weight, Japanese quail, genetic parameters, predicted equation, selection response,
چکیده مقاله :
The present studyinvestigated the impact of selection for body weight (BW) on productive performance, predicted BW and genetic improvement of related traits in Japanese quail. Base population, selected parent and F1 progeny were tested. Pens and cages were used for rearing and breeding. A total of 240 birds in two successive generations, 27 sires and 54 dams (as selected parents) were used. Body weight from multiple regression equation, covariance analysis and combining models were estimated, response to selection, realized heritability and genetic correlation were computed for BW, weight gain (WG), feed intake (FI) and feed conversion ratio (FCR). The results showed that the response to selection for BW, WG, FI and FCR were 11.48 g, 27.04 g, 37 g and -0.2, respectively. The estimated heritabilities for the same traits were 0.78, 0.67, 0.52 and 0.77, respectively. Predicted equation (DUHOK equation) for BW as dependent variable on the initial body weight and sex ratio was derived. The final response for the body weight was determined as 5.84 % of live BW.
مطالعه حاضر به بررسی اثر انتخاب برای وزن بدن (BW) بر عملکرد تولیدی، BW پیشبینی شده و بهبود ژنتیکی مرتبط با صفات در بلدرچین ژاپنی است. جمعیت پایه، والدین منتخب و فرزندان F1 مورد آزمون قرار گرفتند. پرورش در قفس و لانه صورت گرفت. از تعداد کل 240 پرنده در دو نسل متوالی، 27 نر و 54 ماده (به عنوان والدین منتخب) به کار گرفته شدند. وزن بدن از معادله رگرسیون چندگانه، آنالیز کوواریانس و مدلهای مرکب برآورد گردیده و پاسخ انتخاب، وراثتپذیری تحقق یافته و همبستگی ژنتیکی برای BW، افزایش وزن (WG)، مصرف خوراک (FI) و ضریب تبدیل خوراک (FCR) محاسبه شدند. نتایج نشان داد که پاسخ انتخاب برای BW، WG، FI و FCR به ترتیب برابر با 48/11 گرم، 04/27 گرم، 37 گرم و 2/0- بود. وراثتپذیریهای برآورد شده برای صفات فوق نیز به ترتیب برابر با 78/0، 67/0، 52/0 و 77/0 بود. معادله پیشبینی شده (معادله DUHOK) برای BW به عنوان متغیر وابسته به وزن بدن اولیه و نسبت جنس نیز به دست آورده شد. پاسخ نهایی برای وزن بدن به صورت 84/5 درصد BW زنده تعیین گردید.
Aggrey S.E., Karnuah A.B., Sebastian B. and Anthony N.B. (2010). Genetic properties of feed efficiency parameters in meattype chickens. Genet. Sel. Evol. 42, 25.
Ayasan T. ( 2013). Effects of dietary inclusion of protexin (probiotic) on hatchability of Japanese quails. Indian J. Anim. Sci. 83(1), 78-81.
Baylan M., Canogullari S., Sahin A., Copur G. and Baylan M. (2009). Effects of different selection methods for body weight on some genetic parameters. J. Anim. Vet. Adv. 8, 1385-1391.
Caron N. and Minvielle F. (1990). Mass selections for 45-day body weight in Japanese quail: selection response carcass composition, cooking properties and sensory characteristics. Poult. Sci. 69, 1037-1045.
Chambers J.R., Bemon D.E. and Gavora J.S. (1984). Synthesis and parameters of new populations of meat-type chickens. Appl. Genet. 69, 23–30.
Darden J.R. and Marks H.L. (1989). Divergent selection for growth in Japanese quail under split and complete nutritional environment. 3. Influence of selection for growth on heterotic effects for body weight, feed and water intake patterns, abdominal fat and carcass lipid characteristics. Poult. Sci. 68, 37-45.
Davis C.S. (2002). Statistical Methods for the Analysis of Repeated Measurements. Normal-Theory Methods: Multivariate Analysis of Variance. Springer-Verlag, New York.
Duncan D.R.(1955). Multiple range and multiple F test. J. Biometrics. 1, 1-42.
Falconer D.S. and Mackay T.F.C. (1996). Introduction to Quantitative Genetics. Longman, London, UK.
Grasteau S.M. and Minvielle F. (2003). Relation between tonic immobility and production estimated by factorial correspondence analysis in Japanese quail. Poul. Sci. 82, 1839-1844.
Hall D.B. and Clutter M. (2004). Multivariate multilevel nonlinear mixed effects models for timber yield predictions. Biometrics. 60, 16-24.
Karaman E., Narinc D., Firat M.Z. and Aksoy T. (2013). Nonlinear mixed effects modeling of growth in Japanese quail. Poult. Sci. 92, 1942-1948.
Kaur S., Mandal A.B., Singh K.B. and Kadam M.M. (2008). The response of Japanese quails (heavy body weight line) to dietary energy levels and graded essential amino acid levels on growth performance and immuno-competence. Livest. Sci. 117, 255-262.
Kayang B.B., Vignal A., Inoue-Murayama M., Miwa M., Monvoisin J.L., Ito S. and Minvielle F. (2004). A first generation micro satellite linkage map of the Japanese quail. Anim. Genet. 35, 195-200.
Knizetova H. (1996). Growth and carcass traits of Japanese quail. Zivoc. Vyroba. 41, 225-233.
Leenstra F.R., Vereijken P.F.G. and Pit R. (1986). Fat deposition in a broiler sires strain. 1. Phenotypic and genetic variation in, and correlations between, abdominal fat, body weight and feed conversion. Poult. Sci. 65, 1225-1235.
Lesson S. and Summers J.D. (2005). Commercial poultry nutrition. NottinghamUniversity Pres, Guelph, Ontario, Canada.
Marks H.L. (1993a). Carcass composition, feed intake and feed efficiency following long term selection four week body weight in Japanese quail. Poult. Sci. 72, 1005-1011.
Marks H.L. (1993b). Divergent selection for growth in Japanese quail under split and complete nutritional environments. 6. Differential body weights in reciprocal crosses. Poult. Sci. 72, 1847-1854.
Mielenz N., Groeneveld E., Muller J. and Spilke J. (1994). Simultaneous estimation of variances and covariance’s using REML and Henderson 3 in a selected population of white Leghorns. Br. Poult. Sci. 35, 669-676.
Minvielle F. (1998). Genetics and breeding of Japanese quail for production around the world. Pp. 122-127 in 6th Proc. Asian Poult. Cong. World’s Poult. Sci. Assoc. Nagoya, Japan.
Minvielle F., Monvoisin J.L., Costa J. and Maeda Y. (2000). Long-term egg production and heterosis in quail lines after within-line or reciprocal recurrent selection for high early egg production. Br. Poult. Sci. 41, 150-157.
Muir M.W., Bijma P. and Schinckel A. (2013). Multilevel selection with kin and non-kin groups, experimental results with Japanese quail (Cotunix japonica). Evol. J. Spec. Sect. 2, 1-9.
Narinc D., Aksoy T. and Karaman E. (2010). Genetic parameters of growth curve parameters and weekly body weights in Japanese quail (Coturnix coturnix japonica). J. Anim. Vet. Adv. 9, 501-507.
N’Dri A.L., Mignon-Grasteau S., Sellier N., Tixier-Boichard M. and Beaumont C. (2006). Genetic relationships between feed conversion ratio, growth curve and body composition in slow growing chickens. Br. Poult. Sci. 47, 273-280.
SAS Institute. (2010). SAS®/STAT Software, Release 9.2. SAS Institute, Inc., Cary, NC. USA.
Sengul T. and Kiraz S. (2005). Non-linear models for growth curves in Large White turkeys. Turkish J. Vet. Anim. Sci. 29, 331-337.
Vali N. (2009). Growth, feed consumption and carcass composition of Coturnix japonica, Coturnix ypsilophorus and their reciprocal crosses. Asian J. Poult. Sci. 3, 132-137.
Varkoohi S., Moradi M., Pakdel A., Nejati A., zaghari M. and Kause A. (2010). Response to selection for feed conversion ratio in Japanese quail. Poult. Sci. 89, 1590-1598.
Varkoohi S., Pakdel A., Moradi M., Nejati A., Kause A. and Zaghari M. (2011). Genetic parameters for feed utilization traits in Japanese quail. Poult. Sci. 90, 42-47.