Kanonik Korelasyon Analizi ile Holştayn İneklerin Bazı Meme ve Vücut Özellikleri Arasındaki İlişkinin Saptanması

Abstract

The purpose of the research was to obtain the relationship between some udder and body traits. In an attempt to perform the study, canonical correlations among height at withers (HW), shinbone perimeter (SP), body length (BL), chest girth (CG), stature (S), rump width (RW), rear udder height (RUH), right fore udder teat perimeter (RFUTP), right rear udder teat perimeter (RRUTP),left fore udder teat perimeter (LFUTP), left rear udder teat perimeter (LRUTP), fore udder teat length (FUTL), and rear udder teat length (RUTL) in 50 head Holstein cows that were raised at a dairy farm in Bozdogan province in Aydin county, were estimated. Six body traits constituted the X variable set while seven udder traits constituted the Y variable set. As a result, the correlation between the first canonical variable pair was found 0.62 (P˃ 0.05). The contribution occurrences of canonical variables of HW and BL from body traits and LRUTP and RRUTP from udder traits were found the highest than others. According to these results, the degrees of explanation (redundancy) of change on each other of the two variable sets (U1 and V1) were found 6.2 % and 2.1 %, respectively

Keywords

• -

Determination of Relationship Between Some Udder and Body Traits of Holstein Cows by Canonical Correlation Analysis

Abstract

Bu çalışmanın amacı, bazı meme özellikleri ile vücut özellikleri arasındaki ilişkinin ele alnımasıdır. Bu amaçla, Aydın ilinin Bozdoğan ilçesinde bulunan bir süt sığırcılığı işletmesinde yetiştirilen 50 baş Holştayn inekte cidago yüksekliği (CY), incik çevresi (İÇ), vücut uzunluğu (VU), göğüs çevresi (GÇ), sağrı yüksekliği (SY), sağrı genişliği (SG), arka meme yüksekliği (AMY), sağ ön meme başı çevresi (SÖMBÇ), sağ arka meme başı çevresi (SAMBÇ), sol ön meme başı çevresi (SLÖMBÇ), sol arka meme başı çevresi (SLAMBÇ), ön meme başı uzunluğu (ÖMBU) ve arka meme başı uzunluğu (AMBU) arasındaki kanonik korelasyonlar tahmin edilmiştir. 7 meme özelliği Y değişken seti olarak alınırken, 6 vücut özelliği de X değişken seti olarak alınmıştır. Sonuçta, birinci kanonik değişken çifti arasındaki korelasyon 0.62 olarak bulunmuştur (P˃ 0.05). Vücut ölçülerinden CY ile VU, meme SLAMBÇ ile SAMBÇ’ye ait kanonik değişkenlerin yaptığı katkı diğerlerine göre daha yüksek bulunmuştur. Elde edilen sonuçlara gore, iki değişken setinin (U1 ve V1) birbiri üzerindeki değişimi açıklama derecesi (gereksizlik indeksi) sırasıyla % 6.2 ile % 2.1 bulunmuştur

Keywords

• -

References

1. Akbaş Y, Takma C 2005. Canonical correlation analysis for studying the relationship between egg production traits and body weight, egg weight and age at sexual maturity in layers. Czech Journal of Animal Science, 50(4): 163–168.
2. Alic Ural D 2013. The relationships among some udder traits and somatic cell count in Holstein- Friesian cows. Kafkas Universitesi Veteriner Fakultesi Dergisi, (in press).
3. Beretti V, Simonazzi D, Paini V, , Superchi P, Sabbioni A 2010. Body measures in Reggiana cattle and their correlations with morphologic evaluations. Ann. Fac. Medic. Vet. di Parma, 91-102, http://www.unipr.it/arpa/facvet/ annali/2010/beretti.pdf, Accessed: March 2013.
4. Bilgin OC, Emsen E, Davis ME 2003. An application of canonical correlation analysis to relationships between the head and scrotum measurements in Awassi fat tailed lambs. Journal Animal and Veterinary Advances, 2 (6): 343-349.
5. Bilodeau M, Brenner D 1999. Theory of multivariate statistics. Springer, New York.
6. Cankaya S 2005. Kanonik korelasyon analizi ve hayvancılıkta kullanımı. Cukurova Universitesi Fen Bilimleri Enstitusu Doktora Tezi, p. 145, Adana.
7. Cankaya S, Kayaalp. GT 2007. Estimation of relationship between live weights and some body measurements in German FarmxHair crossbred by canonical correlation analysis. Journal of Animal Production, 48:27-32.
8. Cankaya S, Ocak N, Sungu M 2008. Canonical correlation analysis for estimation of relationships between sexual maturity and egg production traits upon availability of nutrients in pullets. Asian-Australasian Journal of Animal Sciences, 21: 1576-1584.

9. Cankaya S, Balkaya A, Karaagac O 2010. Canonical correlation analysis for the determination of relationships between plant characters and yield components in red pepper [Capsicum annuum L. var. conoides (Mill.) Irish] genotypes. Spanish Journal of Agricultural Research, 8(1): 67-73.
10. Coban O, Sabuncuoglu N, Tuzemen N 2009. A study on relationships between somatic cell count (scc) and some uddertraits in dairy cows. Journal of Animal and Veterinary Advances, 8(1): 134-138.
11. Colceri D 2011. Influence of some genetic and environmental factors on udder milk–producing ability http://balnimalcon.nku.edu.tr/romanya/5/5.11.doc, Accessed: March 2013. Black and White.
12. Dascălu DL, Creangă Şt, Bugeac T, Borş I, Ruginosu E 2012. Observations on the morphoproductive characteristics of a nucleus of cattle, Grey Steppe breed. Lucrări Ştiinţifice - Seria Zootehnie, 58: 166-171.
13. Dogan Z, Orhan H, Kaya L, Öztürk I, Yurtseven S 2012. Determination of relationship between nutrient and milk yield components of German Fawn × Hair crossbred by canonical correlation analysis. African Journal of Agricultural Research, 7(6): 964-969.
14. Gengler N, Wiggans GR, Wright JR, Norman HD, Wolfe CW 1997. Estimation of (co)variance components for Jersey type traits using a repeatability model. Journal of Dairy Science, 80:1801–1806.
15. Keskin S, Kor A, Baspinar E 2005. Akkeci oglaklarinda kesim oncesi ve kesim sonrasi olculen bazi ozellikler arasindaki iliski yapisinin kanonik korelasyon analizi ile irdelenmesi. Tarim Bilimleri Dergisi, 11(2):154-159.
16. Koskan O, Onder EG, Sen N 2011. Degisken Setleri Arasi Iliskinin Tahmini Icin Kanonik Korelasyon Analizinin Kullanimi. Igdir Universitesi Fen Bilimleri Enstitusu Dergisi, 1(2): 117-123.
17. Gilbert RP, Bailey DR, Shannon NH, 1993. Body dimensions and carcass measurements of cattle selected for post-weaning gain fed two different diets. Journal of Animal Science, 71:1688-1698.
18. Ozkaya S, Bozkurt Y 2009. The accuracy of prediction of body weight from body measurements in beef cattle. Archiv Tierzucht, 52(4): 371-377.
19. Sieber M, Freeman AE, Kelley DH 1988. Relationships between body measurements, body weight, and productivity in Holstein dairy cows. Journal of Dairy Science, 71:3437-3445.
20. Sharma S 1996. Applied multivariate techniques: Canonical Correlation, 391-418. John Willey and Sons Inc., USA.
21. Seker I, Rişvanli A, Kul S, Bayraktar M, Kaygusuzoglu E 2000. Isvicre Esmeri ineklerde meme ozellikleri ve Sut Verimi ile Cmt skoru arasindaki iliskiler. Lalahan Hayvancıilik Arastitma Enstitusu Dergisi, 40(1): 29 – 38.
22. SYTAT 2013. Systat Software, Inc. 225 W Washington St., Suite 425 Chicago, IL 60606.
23. Tolenkhomba TC, Konsam DS, Shyamsana Singh N, Prava M, Damodor Singh Y, Ayub Ali M, Motina E, 2012. Factor analysis of body measurements of local cows of Manipur, India. International Multidisciplinary Research Journal, 2(2):77-82.
24. Ulutas Z, Saatci M, Ozluturk A 2001. Prediction measurements in East Anatolian Red calves. Journal of Agricultural Collage of Ataturk University, 32: 61- 65. weights from body
25. Unalan A, Cebeci Z 2004. Estimation of genetic parameters and correlations for the first three lactation milk yields in Holstein Friesian cattle by the REML method. Turkish Journal of Veterinary Animal Science, 28: 1043-1049.
26. Van Marle-Köster E, Mostert BE, Van der Westhuizen J 2000. Body measurements as selection criteria for growth in South African Hereford cattle Archiv Tierzucht, 43: 5-15.