Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians

Akbas, Yavuz; TAKMA, ÇİĞDEM

Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians

Çiğdem TAKMA, (Ege Üniversitesi, Ziraat Fakültesi, Zootekni Bölümü, İzmir, Türkiye)

Yavuz AKBAŞ (Ege Üniversitesi, Ziraat Fakültesi, Zootekni Bölümü, İzmir, Türkiye)

Kafkas Üniversitesi Veteriner Fakültesi Dergisi

2 0

Yıl: 2009 Cilt: 15 Sayı: 4 Sayfa Aralığı: 547 - 551 Metin Dili: Türkçe İndeks Tarihi: 29-07-2022

Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians

Öz:

Bu çalışmada Legendre polinomiyal uygulanan şansa bağlı regresyon modelleri ile Siyah Alaca’ların denetim günü süt verimlerine ait genetik parametreler tahminlenmiştir. Analizler, 1987 ile 1993 yılları arasında Dalaman, Tahirova, Sarımsaklı ve Türkgeldi çiftliklerinde buzağılayan, 612 adet Siyah Alaca ineklerin toplam 5918 adet ilk laktasyon test günü süt verim kaydına uygulanmıştır. Denetim günü süt verimlerinin genetik varyans tahminleri laktasyonun başında ve sonunda büyük bulunmuştur. Kalıcı çevre varyanslarının laktasyonun orta döneminde oldukça düşük olduğu belirlenmiştir. Test günü süt verimlerinin kalıtım dereceleri 0.26 ile 0.57 arasında tahminlenmiştir. Denetim günü süt verimlerinin (TD1-TD9) en son denetim günü süt verimi (TD10) ile olan korelasyonları -0.10 ile 0.96 arasında değişim göstermiştir. Korelasyonlar denetim günleri birbirine yaklaştıkça yüksek, denetim günleri arası mesafe arttıkça düşük tahminlenme eğilimi göstermiştir. Şansa bağlı regresyon modellerinde, kovaryans yapılarını iyi tahminlemeleri nedeniyle yüksek dereceli polinomiyallerin kullanımı önerilmektedir. Bununla birlikte, daha az parametre içermeleri nedeniyle hesaplama kolaylıkları sağlayan küçük dereceli polinomiyaller de kullanılabilmektedir.

Anahtar Kelime: genetik korelasyon süt verimi sığır ırkları Siyah Alaca(sığır ırkı) regresyon analizleri genetik değişim genetik parametreler

Konular: Veterinerlik

Siyah Alacalarda şansa bağlı regresyon modelleri kullanılarak denetim günü süt veriminin varyans bileşenleri ve genetik parameterlerinin tahminlenmesi

Öz:

Genetic parameters for test day milk yields of Holstein Friesian cows were estimated by random regression with Legendre polynomials. The analyzes were applied to 5918 first lactation test day milk yields of 612 Holstein Friesian cows calving from 1987 to 1993 in Dalaman, Tahirova, Sarımsaklı and Türkgeldi State Farms. Estimated genetic variances for test day milk yields were larger at extremes of the lactation. Permanent environmental variances mostly decreased in middle part of the lactation. The heritability values for test day milk yields were from 0.26 to 0.57. The genetic correlations between test day milk yields (TD1-TD9) with the last test day milk yield (TD10) were changed from -0.10 to 0.96 and it was high between consecutive test day milk yields, but decreased when the intervals between the test days increased. In random regression models it can be concluded that higher order polynomials were recommended for a sufficient fit of the (co)variance structures over the lactation but a reduction of the orders can also be used for computational simplicity due to small numbers of parameters.

Anahtar Kelime: genetic variance genetic parameters genetic correlation milk yield cattle breeds Friesian regression analysis

Konular: Veterinerlik

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

1. Swalve HH: Symposium: Test-day models/Theoretical basis and computational methods for different test-day genetic evaluation methods. J Dairy Sci, 83, 1115-1124, 2000.
2. Jensen J: Genetic evaluation of dairy cattle using test-day models. J Dairy Sci, 84, 2803-2812, 2001.
3. Strabel T, Misztal I: Genetic parameters for first and second lactation milk yields of polish black and white cattle with random regression test-day models. J Dairy Sci, 82, 2805- 2810, 1999.
4. Schaeffer LR, Dekkers JCM: Random regressions in animal models for test-day production in dairy cattle. Proc 5th WCGALP, 18, 443-446, 1994.
5. Meyer K: DFREML 3.0α Program Package and User Notes. Animal Genetics and Breeding Unit, Univ. New England, Armidale, New South Wales, Australia, 1998.
6. Van Der Werf JHJ, Goddard ME, Meyer K: The use of covariance functions and random regressions for genetic evaluation of milk production based on test day records. J Dairy Sci, 81, 3300-3308, 1998.
7. Ergün G, Aktaş S: ANOVA modellerinde kareler toplamı yöntemlerinin karşılaştırılması. Kafkas Univ Vet Fak Derg, 15, 481-484, 2009.
8. Meyer K, Hill WG: Estimation of genetic and phenotypic covariance functions for longitudinal or ‘repeated’ records by restricted maximum likelihood. Livest Prod Sci, 47, 185-200,1997.
9. Huisman AE, Kanis E, Van Arendonk JAM: Application of random regression models in pig breeding to select on growth and feed intake patterns. EAAP Meeting, 1-8, 2002.
10. Kettunen A, Mantysaari EA, Strandén I, Pösö J, Lidauer M: Estimation of genetic parameters for first lactation test day milk production using random regression models. 6th WGCALP, Armidale, NSW2351, Australia 23, 307-310, 1998.
11. Jamrozik J, Schaeffer LR: Estimates of genetic parameters for a test day model with random regressions for yield traits of first lactation Holsteins. J Dairy Sci, 80, 762-770, 1997.
12. Olori VE, Hill WG, Mcguirk BJ, Brotherstone S: Estimating variance components for test day milk records by restricted maximum likelihood with a random regression animal model. Livest Prod Sci, 61, 53-63, 1999.
13. Rekaya R, Carabano MJ and Toro MA: Use of test day yields for the genetic evaluation of production traits in Holstein-Friesian cattle. Livest Prod Sci, 57, 203-217, 1999.
14. López-Romero P, Rekaya R, Carabaño MJ: Assessment of homogeneity vs. heterogeneity of residual variance in random regression test-day models in a bayesian analysis. J Dairy Sci, 86, 3374-3385, 2003.
15. Druet T, Jaffrezic F, Boichard D, Ducrocq V: Modeling lactation curves and estimation of genetic parameters for first lactation test-day records of French Holstein cows. J Dairy Sci, 86, 2482-2490, 2003.
16. Cobuci JA, Euclydes RF, Lopes, PS Claudio NC, Robledo AT, Carmen SP: Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model. Genet Mol Biol, 28, 75-83, 2005.
17. Jamrozik J, Schaeffer LR, Grignola F: Genetic parameters for production traits and somatic cell score of Canadian Holsteins with multiple trait random regression model. Proc 6th World Congr Genet Appl Livest Prod Armidale, Australia. 23, 303-306, 1998.
18. Haile-Mariam M, Goddard ME, Bowman PJ: Estimates of genetic parameters for daily somatic cell count of australian dairy cattle. J Dairy Sci, 84, 1255-1264, 2001
19. Jonest HE, White IMS, Brotherstone S: Genetic evaluation of Holstein Friesian sires for daughter condition-score changes using a random regression model. Anim Sci, 68, 467- 475, 1999.
20. Veerkamp RF, Koenen EPC, De Jong G: Genetic correlations among body condition score, yield, and fertility in first-parity cows estimated by random regression models. J Dairy Sci, 84, 2327-2335, 2001.
21. Berry DP, Buckley F, Dillon P, Evans, RD, Rath M, Veerkamp RF: Genetic parameters for body condition score, body weight, milk yield, and fertility estimated using random regression models. J Dairy Sci, 86, 3704-3717, 2003.
22. Veerkamp RF, Thompson R: A covariance function for feed intake, live weight, and milk yield estimated using random regression models. J Dairy Sci, 82, 1565-1573, 1999.
23. Jamrozik J, Schaeffer LR, Dekkers JCM: Genetic evaluation of dairy cattle using test day yields and random regression model. J Dairy Sci, 80, 1217-1226, 1997.
24. Kirkpatrick M, Lofsvold D, Bulmer M: Analysis of inheritance, selection and evolution of growth trajectories. Genet, 124, 979-993, 1990.
25. Pool MH, Meuwissen THE: Prediction of daily milk yields from a limited number of test days using test day models. J Dairy Sci, 82, 1555-1564, 1999.
26. Swalve HH: Test day models in the analysis of dairy production data. Arch Tierz, 38, 591-612, 1995.
27. Misztal I, Lawlor TJ, Short TH: Implementation of singleand multiple-trait animal models for genetic evaluation of holstein type traits. J Dairy Sci, 76, 1421-1432, 1993.
28. Takma Ç, Akbaş Y: Comparison of fitting performance of random regression models to test day milk yields in Holstein Friesians. Kafkas Univ Vet Fak Derg, 15, 261-166, 2009.
29. López-Romero P, Carabano MJ: Comparing alternative random regression models to analyse first-lactation daily milk yield data in Holstein-Friesian cattle. Livest Prod Sci, 82, 81- 96, 2003.
30. Pool MH, Janss LLG, Meuwissen THE: Genetic parameters of Legendre polynomials for first parity lactation curves. J Dairy Sci, 83, 2640-2649, 2000.
31. Kettunen A, Mantysaari EA, Pösö J: Estimation of genetic parameters for daily milk yield of primiparous ayshire cows by random regression test-day models. Livest Prod Sci, 66, 251-261, 2000.

APA	TAKMA Ç, Akbas Y (2009). Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. , 547 - 551.
Chicago	TAKMA ÇİĞDEM,Akbas Yavuz Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. (2009): 547 - 551.
MLA	TAKMA ÇİĞDEM,Akbas Yavuz Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. , 2009, ss.547 - 551.
AMA	TAKMA Ç,Akbas Y Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. . 2009; 547 - 551.
Vancouver	TAKMA Ç,Akbas Y Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. . 2009; 547 - 551.
IEEE	TAKMA Ç,Akbas Y "Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians." , ss.547 - 551, 2009.
ISNAD	TAKMA, ÇİĞDEM - Akbas, Yavuz. "Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians". (2009), 547-551.

APA	TAKMA Ç, Akbas Y (2009). Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 15(4), 547 - 551.
Chicago	TAKMA ÇİĞDEM,Akbas Yavuz Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. Kafkas Üniversitesi Veteriner Fakültesi Dergisi 15, no.4 (2009): 547 - 551.
MLA	TAKMA ÇİĞDEM,Akbas Yavuz Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, vol.15, no.4, 2009, ss.547 - 551.
AMA	TAKMA Ç,Akbas Y Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. Kafkas Üniversitesi Veteriner Fakültesi Dergisi. 2009; 15(4): 547 - 551.
Vancouver	TAKMA Ç,Akbas Y Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians. Kafkas Üniversitesi Veteriner Fakültesi Dergisi. 2009; 15(4): 547 - 551.
IEEE	TAKMA Ç,Akbas Y "Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians." Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 15, ss.547 - 551, 2009.
ISNAD	TAKMA, ÇİĞDEM - Akbas, Yavuz. "Variance components and genetic parameter estimates using random regression models on test day milk yields of holstein friesians". Kafkas Üniversitesi Veteriner Fakültesi Dergisi 15/4 (2009), 547-551.