آمار
| تعداد نشریات | 13 |
| تعداد شمارهها | 665 |
| تعداد مقالات | 6,953 |
| تعداد مشاهده مقاله | 10,245,130 |
| تعداد دریافت فایل اصل مقاله | 9,459,675 |
Genetic and Environmental Parameters Analysis of Weekly Egg Weights in Wild and White Japanese Quails | ||
| Poultry Science Journal | ||
| دوره 12، شماره 2، آذر 2024، صفحه 169-177 اصل مقاله (441.47 K) | ||
| نوع مقاله: Original Paper | ||
| شناسه دیجیتال (DOI): 10.22069/psj.2024.21887.1997 | ||
| نویسندگان | ||
| Neda Farzin* ؛ Abolghasem Seraj | ||
| Department of Animal Science, Azadshahr Branch, Islamic Azad University, Azadshahr, Iran | ||
| چکیده | ||
| The aim of the current study was to estimate the genetic and environmental parameters for weekly egg weights using a random regression model in wild and white Japanese quails. The base population included 300 wild and white Japanese quails, with a mating ratio of 1:2 (one male with two females). Four mating groups including pure and cross-breeding methods, were considered to produce the next generation. Eggs were collected and numbered based on their sire and dam. At the fifth week of age, 508 female quails were transferred to the laying cages. The data on egg weight was recorded from the seventh to fifteenth week of age. Nine random regression models were analyzed to determine the best orders of Legendre polynomials. The model with first and second-order Legendre polynomials for additive genetic and permanent environmental effects, respectively, indicated the lowest AIC value and was chosen as the appropriate model. The heritability estimates and the ratios of the permanent environment to the phenotypic variance of weekly egg weights ranged from 0.09 to 0.35 and from 0.08 to 0.51, respectively. The effect of permanent environmental factors on the average weight of laid eggs decreased with increasing laying weeks, followed by an increase in the additive genetic effect on the occurrence of this trait. The estimates of genetic and phenotypic correlations between weekly egg weights varied from 0.59 to 0.98 and from 0.21 to 0.51, respectively. As a result, because of higher heritability estimates for later ages, selection to improve weekly egg weight is better performed based on at least the fifth week of the laying period onward. In conclusion, due to high positive genetic correlations among weekly egg weights, the selection basis of each weekly part record can lead to improving the consecutive weekly egg weights. | ||
| کلیدواژهها | ||
| Egg weight؛ Heritability؛ Japanese quail؛ Random regression model | ||
| مراجع | ||
|
Abbasi MA, Emamgholi Begli H & Ghorbani S. 2017. Estimation of (co)variance components of egg quality traits for Fars native fowls. Research on Animal Production, 8: 195–200.
Abou Khadiga GA, Mahmoud BYF, Farahat GS, Emam AM & El-Full EA. 2017. Genetic analysis of partial egg production records in Japanese quail using random regression models. Poultry Science, 96: 2569–2575. DOI: 10.3382/ps/pex081
Akaike H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19: 716–723. DOI: 10.1109/TAC.1974.1100705
Alshaheen SA. 2017. Analysis egg production and egg weight curves by two mathematical models in Japanese quail (Coturnix . C . Japonica ). Iraqi Journal of Poultry Science, 11: 58–68.
Anang A, Mielenz N & Schüler L. 2002. Monthly model for genetic evaluation of laying hens II. Random regression. British Poultry Science, 43: 384–390. DOI: 10.1080/00071660120103657
Arunrao KV, Kannan D, Amutha R, Thiruvenkadan AK & Yakubu A. 2023. Production performance of four lines of Japanese quail reared under tropical climatic conditions of Tamil Nadu, India. Frontiers in Genetics, 14. DOI: 10.3389/fgene.2023.1128944
Baylan M. 2017. Effects of different selection methods using body weight on egg yield parameters in Japanese quail. Revista Brasileira de Ciência Avícola, 19: 623–628. DOI: 10.1590/1806-9061-2017-0470
Camci Ö, Erensayin C & Aktan S. 2002. Relations between age at sexual maturity and some production characteristics in quails. Archiv fur Geflugelkunde, 66: 280–282.
Chen X, Zhu W, Du Y, Liu X & Geng Z. 2019. Genetic parameters for yolk cholesterol and transcriptional evidence indicate a role of lipoprotein lipase in the cholesterol metabolism of the Chinese Wenchang chicken. Frontiers in Genetics, 10: 1–13. DOI: 10.3389/fgene.2019.00902
Cheverud JM. 1988. A comparison of genetic and phenotypic correlations. Evolution, 42: 958–968.
Emamgholi Begli H, Schaeffer LR, Abdalla E, Lozada-Soto EA, Harlander-Matauschek A, Wood BJ & Baes CF. 2021. Genetic analysis of egg production traits in turkeys (Meleagris gallopavo) using a single-step genomic random regression model. Genetics Selection Evolution, 53: 1–9. DOI: 10.1186/s12711-021-00655-w
Farzin N & Seraj A. 2022. Genetic parameters of weekly egg production using random regression models in two strains of Japanese quails. Journal of Applied Genetics, 63: 763–769. DOI: 10.1007/s13353-022-00720-0
Farzin N, Vaez Torshizi R, Gerami A & Seraj A. 2013. Estimates of genetic parameters for monthly egg production in a commercial female broiler line using random regression models. Livestock Science, 153: 33–38. DOI: 10.1016/j.livsci.2013.01.015
Ghayas A, Hussain J, Mahmud A, Javed K, Rehman A, Ahmad S, Mehmood S, Usman M & Ishaq HM. 2017. Productive performance, egg quality, and hatching traits of Japanese quail reared under different levels of glycerin. Poultry Science, 96: 2226–2232. DOI: 10.3382/ps/pex007
Hegab IM & Hanafy AM. 2019. Effect of egg weight on external and internal qualities, physiological and hatching success of Japanese quail Eggs (Coturnix coturnix Japonica). Revista Brasileira de Ciencia Avicola, 21. DOI: 10.1590/1806-9061-2018-0777
Hrnčár C, Hanusová E, Hanus A and Bujko J. 2014. Effect of genotype on egg quality characteristics of Japanese quail (Coturnix japonica). Slovak Journal of Animal Science, 47: 6–11.
Jatoi AS, Sahota AW, Akram M, Javed K, Jaspal MH, Hussain J, Mirani AH & Mehmood S. 2013. Effect of different body weight categories on the productive performance of four close-bred flocks of Japanese quails (Coturnix coturnix japonica). Journal of Animal and Plant Sciences, 23: 7–13.
Karami K, Zerehdaran S, Barzanooni B & Lotfi E. 2017. Genetic analyses of partial egg production in Japanese quail using multi-trait random regression models. British Poultry Science, 58: 624–628. DOI: 10.1080/00071668.2017.1378423
Kaye J, Nwachi Akpa G, Alphonsus C, Kabir M, Zahraddeen D & Mukhtari Shehu D. 2016. Responsed to genetic improvement and heritability of egg production and egg quality traits in Japanese quail (Coturnix coturnix japonica). American Scientific Research Journal for Engineering, 16: 277–292.
Khaldari M, Pakdel A, Mehrabani Yegane H, Nejati Javaremi A & Berg P. 2010. Response to selection and genetic parameters of body and carcass weights in Japanese quail selected for 4-week body weight. Poultry Science, 89: 1834–1841. DOI: 10.3382/ps.2010-00725
Kostaman T & Sopiyana S. 2021. The weight and hatchability of quail egg viewed from the weight, index, and surface area of the egg. IOP Conference Series: Earth and Environmental Science, 788. DOI: 10.1088/1755-1315/788/1/012128
Kranis A, Su G, Sorensen D & Woolliams JA. 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: 470–475. DOI: 10.1093/ps/86.3.470
Lotfi E, Zerehdaran S & Ahani Azari M. 2012. Estimation of genetic parameters for egg production traits in Japanese quail (Coturnix cot. japonica). Archiv fur Geflugelkunde, 76: 131–135.
Lukanov H, Genchev A & Kolev P. 2018. Comparative investigation of egg production in Wg, Gg and Gl Japanese quail populations. Trakia Journal of Sciences, 16: 334–343. DOI: 10.15547/tjs.2018.04.011
Luo PT, Yang RQ & Yang N. 2007. Estimation of genetic parameters for cumulative egg numbers in a broiler dam line by using a random regression model. Poultry Science, 86: 30–36. DOI: 10.1093/ps/86.1.30
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: 815–821.
Mielenz N, Noor RR & Schüler L. 2006. Estimation of additive and non-additive genetic variances of body weight , egg weight and egg production for quails (Coturnix coturnix japonica) with an animal model analysis. Archiv für Tierzucht/Archives Animal Breeding, 49: 300–307.
Momoh OM, Gambo D & Dim NI. 2014. Genetic parameters of growth, body, and egg traits in Japanese quails (Cotournix cotournix japonica) reared in southern guinea savannah of Nigeria. Journal of Applied Biosciences, 79: 6947. DOI: 10.4314/jab.v79i1.8
Nhan NTH, Lan LTT, Khang NTK, Du PN, Dung TN & Ngu NT. 2018. Effects of layer age and egg weight on egg quality traits of japanese quails (Coturnix coturnix japonica). Journal of Animal and Plant Sciences, 28: 973–980.
Okenyi N, Ndofor-Foleng HM, Ogbu CC & Agu CI. 2013. Genetic parameters and consequences of selection for short-term egg production traits in Japanese quail in a tropical environment. African Journal of Biotechnology, 12: 1357–1362. DOI: 10.5897/AJB12.2919
Petek M, Başpinar H, Oǧan M & Balci F. 2005. Effects of egg weight and length of storage period on hatchability and subsequent laying performance of quail. Turkish Journal of Veterinary and Animal Sciences, 29: 537–542.
Pourtorabi E, Farzin N & Seraj A. 2017. Effects of genetic and non-genetic factors on body weight and carcass related traits in two strains of Japanese quails. Poultry Science Journal, 5: 17–24. DOI: 10.22069/psj.2017.11501.1198
Raoufi Z, Zerehdaran S, Rahimi G, Ahani Azari M & Dastar B. 2013. Genetic analysis of egg quality traits in Japanese quail. Iranian Journal of animal Science, 43: 413–421. DOI: 20.1001.1.20084773.1391.43.3.12.9
Saatci M, Omed H & Ap Dewi I. 2006. Genetic parameters from univariate and bivariate analyses of egg and weight traits in Japanese quail. Poultry Science, 85: 185–190. DOI: 10.1093/ps/85.2.185
Saghi R, Rokouei M, Dashab GR, Saghi DA & Faraji-Arough H. 2022. Using a linear-threshold model to investigate the genetic relationship between survival and productive traits in Japanese quail. Italian Journal of Animal Science, 21: 605–611. DOI: 10.1080/1828051X.2021.2023332
Santos TC, Murakami AE, Oliveira CAL, Moraes GV, Stefanello C, Carneiro TV, Feitosa CCG & Kaneko IN. 2015. Influence of European quail breeders age on egg quality, incubation, fertility and progeny performance. Revista Brasileira de Ciencia Avicola, 17: 49–56. DOI: 10.1590/1516-635x170149-56
Sari M, Tilki M & Saatci M. 2016. Genetic parameters of egg quality traits in long-term pedigree recorded Japanese quail. Poultry Science, 95: 1743–1749. DOI: 10.3382/ps/pew118
Sezer M. 2007. Genetic parameters estimated for sexual maturity and weekly live weights of Japanese quail (Coturnix coturnix japonica). Asian-Australasian Journal of Animal Sciences, 20: 19–24. DOI: 10.5713/ajas.2007.19
Shahraki Y, Seraj A & Farzin N. 2023. Estimation of genetic parameters for traits related to external and internal egg quality in wild and white Japanese quails. Animal Production Research, 11: 77–89. DOI: 10.22124/ar.2023.23379.1735
Shokoohmand M, Emam N, Kashan J & Emami Maybody MA. 2007. Estimation of heritability and genetic correlations of body weight in different age for three strains of Japanese quail. | ||
|
آمار تعداد مشاهده مقاله: 412 تعداد دریافت فایل اصل مقاله: 426 |
||
سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب