Correlated response to selection for some egg performance traits in egg line of Japanese quail
B. Y. F. Mahmoud A , G. Abou Khadiga B C and E. A. El-Full A
+ Author Affiliations
- Author Affiliations
A Faculty of Agriculture, Fayoum University, 63514 Fayoum, Egypt.
B Faculty of Desert and Environmental Agriculture, Fuka, Alexandria University, Matrouh Branch, 51744 Matrouh, Egypt.
C Corresponding author. Email: galal.aboukhadiga@alexu.edu.eg
Animal Production Science 56(5) 913-917 https://doi.org/10.1071/AN14114
Submitted: 24 February 2014 Accepted: 13 October 2014 Published: 20 February 2015
Abstract
Estimation of correlated response to selection in female line of Japanese quail after a short-term selection experiment was conducted. The total number of 547 female (275 selected and 272 control) Japanese quail included in the selection experiment of selection depended on aggregate breeding values based on animal model Best Linear Unbiased Prediction. Correlated selection response estimates were favourable for all the studied traits and significant (–0.38, –9.89, –12.86, –16.64, –5.08 and –8.24) for first egg weight (FEW), age at the first 10 eggs (AGE10), age at first 30 eggs (AGE30), age at first 60 eggs (AGE60), days needed to produce the first 30 eggs (DN30) and the first 60 eggs (DN60), respectively. Estimates of heritability were moderate for egg mass for the first 10 eggs (EM10), the first 30 eggs (EM30), the first 60 eggs (EM60), AGE10 and AGE30 (0.17–0.30), but low for AGE60, DN30 and DN60 (0.01–0.10). Genetic correlations between the selection criteria traits (AFE, BWSM and DN10) and the studied egg production traits were positive and ranged from 0.25 to 0.97, 0.24 to 0.95 and 0.06 to 0.98 for AFE, BWSM and DN10, respectively, whereas phenotypic correlations ranged from 0.12 to 0.89, 0.01 to 0.34 and 0.06 to 0.87 for the same traits. The favourable genetic response obtained for egg traits could be an indicator for improving egg production performance in Japanese quail.
Additional keywords: correlation, genetic parameters, Japanese quail, selection response.
References
Alkan S, Karsli T, Karaba ĞK, Galiç A (2013) The effects of selection and season on clutch traits and egg production in Japanese quails (Coturnix coturnix Japonica) of different lines. Süleyman Demirel Üniversitesi Ziraat Fakültesi Dergisi 8, 71–77.Bahie El-Deen M, El-Tahawy WS, Attia YA, Meky MA (2008) Inheritance of age at sexual maturity and its relationships with some production traits of Japanese quails. Egyptian Poultry Science 28, 1217–1232.
Bao Z (2011) Comparison of index selection, BLUP, MAS, and whole genome selection. In ‘Next generation sequencing and whole genome selection in aquaculture’. (Ed. Z Liu) pp. 185–218. (Wiley-Blackwell: Oxford, UK)
Blair HT, Pollak EJ (1984) Comparison of an animal model and an equivalent reduced animal model for computational efficiency using mixed model methodology. Journal of Animal Science 58, 1090–1096.
Chen CF, Tixier-Boichard M (2003) Estimation of genetic variability and selection response for clutch length in dwarf brown-egg layers carrying or not the naked neck gene. Genetics, Selection, Evolution. 35, 219–238.
| Estimation of genetic variability and selection response for clutch length in dwarf brown-egg layers carrying or not the naked neck gene.Crossref | GoogleScholarGoogle Scholar | 12633534PubMed |
Devi KS, Gupta BR, Prakash MG, Qudratullah S, Reddy AR (2010) Genetic studies on growth and production traits in two strains of Japanese quails. 2010. Tamilnadu Journal of Veterinary & Animal Sciences 6, 223–230.
Farrag SAA (2011) Genetic variation within and between quail lines selected for high body weight at four weeks of age and egg production using DNA fingerprinting. PhD Thesis, Kazakh National Agrarian University, Faculty of Farm Technology and Food Safety, Kazakhstan.
Gilmour AR, Gogel BJ, Cullis BR, Thompson R (2008) ASReml user guide release 3.0. (VSN International Ltd: Hemel Hempstead, UK) Available at www.vsni.co.uk [Verified 15 February 2009]
Henderson CR (1973) Sire evaluation and genetic trends. In ‘Proceedings of the Animal Breeding and Genetics Symposium in Honor of Dr Jay L. Lush’. pp. 10–41. (American Society of Animal Science: Champaign, IL)
Hidalgo AM, Martins EN, Dos Santos AL, Oliveira de Quadros TC, Ton APS, Teixeira R (2011) Genetic characterization of egg weight, egg production and age at first egg in quails. Revista Brasileira de Zootecniav 40, 95–99.
Jensen H, Saether BE, Ringsby TH, Tufto J, Griffith SC, Ellegren H (2003) Sexual variation in heritability and genetic correlations of morphological traits in house sparrow (Passer domesticus). Journal of Evolutionary Biology 16, 1296–1307.
| Sexual variation in heritability and genetic correlations of morphological traits in house sparrow (Passer domesticus).Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3srlvF2mtw%3D%3D&md5=72b68a33d28cd8f76a068c92332af2e8CAS | 14640421PubMed |
Karabağ K, Alkan S, Balcloglu MS (2010) The differences in some production and clutch traits in divergently selected Japanese Quails. Kafkas Universitesi Veteriner Fakultesi Dergisi 16, 383–387.
Kholif NAA (2004) Non genetic factors affecting some productive traits in Japanese quail. MSc Thesis, Department of Animal Production, Faculty of Agriculture Al-Azhar University, Egypt.
Koçak C, Altan Ö, Akbas Y (1995) An investigation of different production traits of Japanese quail. Turkish Journal of Veterinary and Animal Sciences 19, 65–71.
Magda I, Abo Samaha M, Sharaf M, Hemeda SA (2010) Phenotypic and genetic estimates of some productive and reproductive traits in Japanese quails. Egyptian Poultry Science 30, 875–892.
Malik CP, Singh D, Singh RP, Dalal DS (2005) Multi trait index selection without restriction and with different levels of restriction in broiler dam line pullets. Indian journal of Poultry Science 40, 16–21.
Martins EN (2002) Perspectivas do melhoramento genético de codornas no Brasil. Simpósio internacional de coturnicultura 1, 109–112.
Mielenz N, Noor RR, Schüler L (2006) Estimation of additive and nonadditive genetic variances of body weight, egg weight and egg production for quails (Coturnix coturnix japonica) with an animal model analysis. Archiv fur Tierzucht 49, 300–307.
Morris AJ, Pollott GE (1997) Comparison of selection based on phenotype, selection index and best linear unbiased prediction using data from a closed broiler line. British Poultry Science 38, 249–254.
| Comparison of selection based on phenotype, selection index and best linear unbiased prediction using data from a closed broiler line.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK2svisVChtQ%3D%3D&md5=920a8ab71359b903f75694cf3d17f819CAS | 9280349PubMed |
Narendra Nath D, Sheriff FR, Prabakaran R, Asha Rajini R (2011) Response to short term index selection for economic traits in meat type Japanese quail. Journal of Indian Veterinary Science 9, 10–14.
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.
Özsoy AN, Aktan S (2011) Estimation of genetic parameters for body weight and egg weight traits in Japanese quails. Trends in Animal & Veterinary Sciences 2, 17–20.
Peng Y, Ping DJ, Jie S, Song PJ, Zuo PA, Hua LZ, Jin PY, Yan W (2010) The genetic parameter estimation of egg production related traits of yellow quail. Journal of Anhui Agricultural Sciences 2010, 742–745.
Punya KB, Ramesh GB, Gnana PM, Rajasekhar RA, Sudhakar RK (2012) Estimation of genetic parameters and construction of multitrait selection indices in Japanese quails. Indian Journal of Poultry Science 47, 1–5.
Reddish JM (2004) Evaluation of the effects of selection for increased body weight and increased yield on growth and development of poultry. PhD Thesis, Ohio State University, Columbus.
Reddish JM, Nestor KE, Lilburn MS (2003) Effect of selection for growth on onset of sexual maturity in randombred and growth selected lines of Japanese quail. Poultry Science 82, 187–191.
| Effect of selection for growth on onset of sexual maturity in randombred and growth selected lines of Japanese quail.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3s7gs12iuw%3D%3D&md5=dd6c592feebe09c46f5ad9e090a89532CAS | 12619793PubMed |
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.
| Genetic parameters from univariate and bivariate analyses of egg and weight traits in Japanese quail.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD287js1anuw%3D%3D&md5=9bfb788683ba66ded5c46bfbf1a8ffb7CAS | 16523612PubMed |
Sargolzaei M, Iwaisaki H, Colleau J (2006) CFC. A software package for pedigree analysis and monitoring genetic diversity. Available at http://agrews.agr.niigatau.ac.jp/~iwsk/cfc.html [Verified 1 January 2011]
Schaeffer LR (1993) Variance components estimation methods. In ‘Course notes’, 12–23 July 1993, CGIL Guelph, Ontario, Canada.
Schaeffer LR (2007) Multiple traits. In ‘Course notes’. 11–15 June 2007. CGIL Guelph, Ontario, Canada.
Schneeberger M, Barwick SA, Crow GH, Hammond K (1992) Economic indices using breeding values predicted by BLUP. Journal of Animal Breeding and Genetics 109, 180–187.
| Economic indices using breeding values predicted by BLUP.Crossref | GoogleScholarGoogle Scholar |
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.
| Genetic parameters estimated for sexual maturity and weekly live weights of Japanese quail (Coturnix coturnix japonica).Crossref | GoogleScholarGoogle Scholar |
Shokoohmand M, Kashan NEJ, Emami Maybody MA (2007) Estimation of heritability and genetic correlations of body weight in different age for three strains of Japanese quail. International Journal of Agriculture and Biology 9, 945–947.
Silva LP, Ribeiro JC, Crispim AC, Silva FG, Bonafé CM, Fabyano FS, Torres RA (2013) Genetic parameters of body weight and egg traits in meat-type quail. Livestock Science 153, 27–32.
Sorensen DA, Kennedy BW (1984) Estimation of genetic variance from unselected and selected populations. Journal of Animal Science 58, 1213–1223.
Valente BD, Rosa GJM, Silva MA, Teixeira RB, Torres RA (2011) Searching for phenotypic causal networks involving complex traits: an application to European quail. Genetics, Selection, Evolution. 43, 37–48.
| Searching for phenotypic causal networks involving complex traits: an application to European quail.Crossref | GoogleScholarGoogle Scholar | 22047591PubMed |
Van der Werf JHJ (2003) Estimation of genetic parameters. In ‘Armidale animal breeding summer course 2003, part 2: models and methods for genetic analysis’. 17–27 February 2003. pp. 109–133. (University of New England: Armidale, NSW)
