KaydedilenlerDerginizi ekleyin

Dergiler / Turkish Journal of Veterinary and Animal Sciences / 2020 / Cilt: 44 - Sayı: 2

Estimation of genetic parameters for weaning weight of Awassi lambs by using classical and Bayesian methods

Adile TATLIYER
Sinan BAŞ
Sayfa
299–307
Yayın Tarihi
2020-03-01
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

All these effects except birth type were found statistically significant P

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The aim of this study was to estimate variance components and genetic parameters with six different animal models and two approaches Bayesian and classical on weaning weight WW of Awassi lambs.
📊
Temel Bulgular & Veri:The data of 4971 progenies from 80 rams and 1917 ewes born between 2012 and 2016 raised under traditional conditions were evaluated.
💡
Sonuç & Katkı:All these effects except birth type were found statistically significant P
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2012 Verileri
⚙️Değişkenler:Heritability · variance components · REML

Abstract

The aim of this study was to estimate variance components and genetic parameters with six different animal models and two approaches Bayesian and classical on weaning weight WW of Awassi lambs. For this purpose, the data were obtained from Sheep and Goat Breeders' Associations of Osmaniye in Turkey. The data of 4971 progenies from 80 rams and 1917 ewes born between 2012 and 2016 raised under traditional conditions were evaluated. Year/season, sex, birth type, dam age, and flock size were fixed effects. All these effects except birth type were found statistically significant P

🔖

Bu Makaleye Atıf Yap

TATLIYER, A., BAŞ, S. (2020). Estimation of genetic parameters for weaning weight of Awassi lambs by using classical and Bayesian methods. Turkish Journal of Veterinary and Animal Sciences, Cilt: 44 - Sayı: 2, 299–307. https://ajindex.com/articles/116403

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (1)

  1. VanVleck LD, Wadell LH, Henderson CR. Components of variance associated with milk and fat records of artificially sired Holstein daughters. Journal of Animal Science 1961; 20 (4): 812-816. doi: 10.2527/jas1961.204812x 2. Cunningham EP, Henderson CR. An iterative procedure for estimating fixed effects and variance components in mixed model situations. Biometrics 1968; 24 (1): 13-25. doi: 10.2307/2528457 3. Barbosa L, Lopes PS, Regazzi AJ, Torres RA, Santana Junior ML et al. Estimação de parâmetros gené-ticos em suínos usando Amostrador de Gibbs. Revista Brasileira de Zootecnia 2008; 37 (7): 1200-1206 (in Spanish with an abstract in English). 4. Crump SL. The estimation of variance components in analysis of variance. Biometrics Bulletin 1946; 2 (1): 7-11. doi: 10.2307/3002006 5. Henderson CR. Selection index and expected genetic advance. Statistical Genetics and Plant Breeding 1963; 982: 141-163. 6. Searle SR. Review of sire-proving methods in New Zealand, Great Britain, and New York State. Journal of Dairy Science 1964; 47 (4): 402-413. doi: 10.3168/jds.S0022- 0302(64)88674-4 7. Cunningham EP. The relative efficiencies of selection indexes. Acta Agriculturae Scandinavica 1965; 19 (1): 45-48. doi: 10.1080/00015126909433180 8. Patterson HD, Thompson R. Recovery of interblock information when block sizes are unequal. Biometrika 1971; 58 (3): 545-554. doi: 10.1093/biomet/58.3.545 9. Meyer K. Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livestock Production Science 1992; 31 (3-4): 179-204. doi: 10.1016/0301- 6226(92)90017-X 10. Mestav B. Kantitatif özelliklerin analizinde hata terimi normal, student-t veya slash dağılımı gösteren doğrusal modellerin kullanılması. PhD, Adnan Menderes University, Aydın, Turkey, 2011 (in Turkish). 11. Foulley JL, Gianola D, Im S. Genetic evaluation of traits distributed as poisson-binomial with reference to reproductive characters. Theoretical and Applied Genetics 1987; 73 (6): 870- 877. doi: 10.1007/BF00289392 12. Fernando RL, Gianola D, Grossman M. Identifying all connected subsets in a two-way classification without interaction. Journal of Dairy Science 1983; 66: 1399-1402. doi: 10.3168/jds.S0022-0302(83)81951-1 13. Lessa De Assis GM, Junior JMC, Euclydes RF, Correa FJC. Bayesian inference on variance components using simulated data. In: 7th World Congress on Genetics Applied to Livestock Production; Montpellier, France; 2002. No. 17-22. 14. Gianola D. Theory and analysis