Genetic analyses of partial egg production in Japanese quail using multi-trait random regression models

References

• Akbas, Y., C. Takma, and E. Yaylak. 2004. “Genetic Parameters for Quail Body Weights Using a Random Regression Model.” South African Journal of Animal Science 34 (2): 104–109. doi:10.4314/sajas.v34i2.3813.
   Web of Science ®Google Scholar
• Anang, A., N. Mielenz, and L. Schüler. 2000. “Genetic and Phenotypic Parameters for Monthly Egg Production in White Leghorn Hens.” Journal of Animal Breeding and Genetics 117 (6): 407–415. doi:10.1046/j.1439-0388.2000.00258.x.
   Web of Science ®Google Scholar
• Anang, A., N. Mielenz, and L. Schüler. 2001. “Monthly Model for Genetic Evaluation of Laying Hens 1. Fixed Regression.” British Poultry Science 42 (2): 191–196. doi:10.1080/00071660120048438.
   PubMed Web of Science ®Google Scholar
• Anang, A., N. Mielenz, and L. Schüler. 2002. “Monthly Model for Genetic Evaluation of Laying Hens II. Random Regression.” British Poultry Science 43 (3): 384–390. doi:10.1080/00071660120103657.
   PubMed Web of Science ®Google Scholar
• Banos, G., S. Avendano, and V. Olori. 2006. “Time Dependent Genetic Parameters for Broiler Chicken Body Weight Measured in Selection and Commercial Environments.” In Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, 05–07. Belo Horizonte, Minas Gerais, Brazil: Instituto Prociência, August 13–18.
   Google Scholar
• Dana, N., E. H. Vander Waaij, and J. A. M. Van Arendonk. 2011. “Genetic and Phenotypic Parameter Estimates for Body Weights and Egg Production in Horro Chicken of Ethiopia.” Tropical Animal Health and Production 43 (1): 21–28. doi:10.1007/s11250-010-9649-4.
   PubMed Web of Science ®Google Scholar
• Dionello, N. J. L., M. A. Silva, and G. S. S. Correa. 2006. “Genetic Evaluation of European Quail by Random Regression Analyses.” In Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, 10–12. Belo Horizonte, Minas Gerais, Brazil: Instituto Prociência, August 13–18.
   Google Scholar
• Falconer, D. S., and T. F. C. Mackay. 1995. Introduction to Quantitative Genetics. 4th ed. New York: Addison Wesley Longman.
   Google Scholar
• Farzin, N., R. V. Torshizi, A. Gerami, and A. Seraj. 2013. “Estimates of Genetic Parameters for Monthly Egg Production in a Commercial Female Broiler Line Using Random Regression Models.” Livestock Science 153 (1): 33–38. doi:10.1016/j.livsci.2013.01.015.
   Web of Science ®Google Scholar
• Hidalgo, A. M., E. N. Martins, A. L. D. Santos, T. C. O. D. Quadros, A. P. S. Ton, and R. Teixeira. 2011. “Genetic Characterization of Egg Weight, Egg Production and Age at First Egg in Quails. Revista Brasileira.” de Zootecnia 40 (1): 95–99.
   Web of Science ®Google Scholar
• Huisman, A. E., R. F. Veerkamp, and J. A. M. Van Arendonk. 2002. “Genetic Parameters for Various Random Regression Models to Describe the Weight Data of Pigs.” Journal of Animal Science 80 (3): 575–582. doi:10.2527/2002.803575x.
   PubMed Web of Science ®Google Scholar
• Khaldari, M., A. Pakdel, H. M. Yegane, A. N. Javaremi, and P. Berg. 2010. “Response to Selection and Genetic Parameters of Body and Carcass Weights in Japanese Quail Selected for 4-Week Body Weight.” Poultry Science 89 (9): 1834–1841. doi:10.3382/ps.2010-00725.
   PubMed Web of Science ®Google Scholar
• Kirkpatrick, M., D. Lofsvold, and M. Bulmer. 1990. “Analysis of the Inheritance, Selection and Evolution of Growth Trajectories.” Genetics 124 (4): 979–993.
   PubMed Web of Science ®Google Scholar
• Koack, C., Ö. Altan, and Y. Akbas. 1995. “Japon Bıldırcınlarının Çeşitli Verim Özellikleri Üzerine Araştırmalar.” Turkish Journal of Veterinary and Animals Sciences 19: 65–71.
   Google Scholar
• Kranis, A., G. Su, D. Sorensen, and J. A. Woolliams. 2007. “The Application of Random Regression Models in the Genetic Analysis of Monthly Egg Production in Turkeys and a Comparison with Alternative Longitudinal Models.” Poultry Science 86 (3): 470–475.
   PubMed Web of Science ®Google Scholar
• Ledur, M. C., L. E. Liljedahl, I. Mcmillan, L. Asselstine, and R. W. Fairfull. 2003. “Genetic Effects of Aging on Fitness and Nonfitness Traits in Laying Hens Housed Three per Cage.” Poultry Science 82 (8): 1223–1234. doi:10.1093/ps/82.8.1223.
   PubMed Web of Science ®Google Scholar
• Lotfi, E., S. Zerehdaran, and M. A. Azari. 2012. “Estimation of Genetic Parameters for Egg Production Traits in Japanese Quail (Coturnix Cot. Japonica).” Archiv Fur Geflugelkunde 76 (2): 131–135.
   Google Scholar
• Luo, P. T., R. Q. Yang, and N. Yang. 2007. “Estimation of Genetic Parameters for Cumulative Egg Numbers in a Broiler Dam Line by Using a Random Regression Model.” Poultry Science 86 (1): 30–36. doi:10.1093/ps/86.1.30.
   PubMed Web of Science ®Google Scholar
• Meyer, K. 2007. “WOMBAT- A Tool for Mixed Model Analyses in Quantitative Genetics by Restricted Maximum Likelihood (REML).” Journal of Zhejiang University Science B 8 (11): 815–821. doi:10.1631/jzus.2007.B0815.
   PubMedGoogle Scholar
• Meyer, K., and W. G. Hill. 1997. “Estimation of Genetic and Phenotypic Covariance Functions for Longitudinal or ‘Repeated’ Records by Restricted Maximum Likelihood.” Livestock Production Science 47 (3): 185–200. doi:10.1016/S0301-6226(96)01414-5.
   Google Scholar
• Mielenz, N., R. R. Noor, and L. Schueller. 2004. “Estimation of Additive and Non-Additive Genetic Variances of Body Weight, Egg Weight and Egg Production in Quail, Using Animal Models.” In World’s Poultry Congress, 22. Istanbul: World’s Poultry Congress & Exhibition.
   Google Scholar
• Minvielle, F. 1998. “Genetics and Breeding of Japanese Quail for Production around the World.” In Asian Pacific Poultry Congress, 6, 122–127. Nagoia: Poultry Science Association.
   Google Scholar
• Murakami, A. E., and J. Ariki. 1998. Produção de codornas japonesas, 507. Jaboticabal: Funep.
   Google Scholar
• Punya, B., B. R. Gupta, M. G. Prakash, A. Raddy, and K. S. Rreddy. 2009. “Genetic Studies on Productive and Reproductive Traits of Japanese Quails.” Indian Journal of Animal Research. 43 (4): 267–270.
   Web of Science ®Google Scholar
• Saatci, M., H. Omed, and I. Ap Dewi. 2006. “Genetic Parameters from Univariate and Bivariate Analyses of Egg and Weight Traits in Japanese Quail.” Poultry Science 85 (2): 185–190. doi:10.1093/ps/85.2.185.
   PubMed Web of Science ®Google Scholar
• Sabri, H. M., H. R. Wilson, R. H. Harms, and C. J. Wilcox. 1999. “Genetic Parameters for Egg and Related Characteristics of White Leghorn Hens in a Subtropical Environment.” Genetics and Molecular Biology 22 (2): 183–186. doi:10.1590/S1415-47571999000200008.
   Web of Science ®Google Scholar
• SAS Institute. 2001. SAS User’s Guide: Statistics. Cary: NCSAS Institute.
   Google Scholar
• Sato, K., N. Ida, and T. Ino. 1989. “Genetic Parameters of Egg Characteristics in Japanese Quail.” Jikken Dobutsu. Experimental Animals 38 (1): 55–59. doi:10.1538/expanim1978.38.1_55.
   PubMed Web of Science ®Google Scholar
• Schaeffer, L. R. 2004. “Application of Random Regression Models in Animal Breeding.” Livestock Production Science 86 (1): 35–45. doi:10.1016/S0301-6226(03)00151-9.
   Google Scholar
• Schwarz, G. 1978. “Estimating the Dimension of a Model.” The Annals of Statistics 6 (2): 461–464. doi:10.1214/aos/1176344136.
   Web of Science ®Google Scholar
• Wolc, A., M. Lisowski, and T. Szwaczkowski. 2007. “Heritability of Egg Production in Laying Hens under Cumulative, Multi-Trait and Repeated Measurement Animal Models.” Czech Journal of Animal Science 52 (8): 254–259.
   Web of Science ®Google Scholar
• Wolc, A., and T. Szwaczkowski. 2009. “Estimation of Genetic Parameters for Monthly Egg Production in Laying Hens Based on Random Regression Models.” Journal of Applied Genetics 50 (1): 41–46. doi:10.1007/BF03195650.
   PubMed Web of Science ®Google Scholar
• Zamani, P., M. Jasouri, and M. R. Moradi. 2015. “Comparison of Different Models for Genetic Evaluation of Egg Weight in Mazandaran Fowl.” British Poultry Science 56 (6): 631–638. doi:10.1080/00071668.2015.1113504.
   PubMed Web of Science ®Google Scholar