MODEL FOR PREDICTION OF FAT AND MILK PRODUCTION TRAITS USING OF DGAT1 GENE POLYMORPHISM IN IRANIAN HOLSTEIN CATTLE POPULATION

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHARRATI KOOPAEI H.; MOHAMMADABADI M.R.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF AGRICULTURAL BIOTECHNOLOGY Year:2013 | Volume:5 | Issue:2 Page(s): 17-27

Download Full-Text

Persian Verion

View:

710

Download:

Cites:

Information Journal Paper

Title

MODEL FOR PREDICTION OF FAT AND MILK PRODUCTION TRAITS USING OF DGAT1 GENE POLYMORPHISM IN IRANIAN HOLSTEIN CATTLE POPULATION

Author(s)

KHARRATI KOOPAEI H. | MOHAMMADABADI M.R. | Issue Writer Certificate

Keywords

DGAT1 GENEQ2

REGRESSIONQ2

PREDICTION OF PRODUCTION AND CORRELATIONQ2

Abstract

The results of multiple QTL mapping design in recent years, quantitative trait loci for milk fat percentage and milk yield was described in BTA14. With the coding of diacylglycerolacyltransferase enzyme, DGAT1 GENE has the main role in the triglyceride synthesis and finally fat milk synthesis. In this research, 398 blood samples were collected from Tehran and Esfahan province. In PCR reaction, 411 bp fragment of exon 8 DGAT1 GENE was amplified.Finally, genotyping population was performed using RFLP-PCR technique. Three genotypes such as KK, AA and KA were detected. Frequencies of DGAT1 alleles (K and A) were estimated 0.37 and 0.63 respectively. Using of fitted fixed model and animals ‘records significant traits were recognized. Finally using of parameters coding and REGRESSION model prediction models were presented. Correlation coefficient was utilized for validation of prediction models. The results of this study indicated presented model can be prediction of Milk305 (milk production adjusted for milking in 305 days), EBVFP (estimated breeding value for milk fat percentage, %) and FATP2X (milk fat percentage adjusted for two milking per day, %) traits in population.

Cites

No record.

References

No record.

Cite

APA: Copy

KHARRATI KOOPAEI, H., & MOHAMMADABADI, M.R.. (2013). MODEL FOR PREDICTION OF FAT AND MILK PRODUCTION TRAITS USING OF DGAT1 GENE POLYMORPHISM IN IRANIAN HOLSTEIN CATTLE POPULATION. JOURNAL OF AGRICULTURAL BIOTECHNOLOGY, 5(2), 17-27. SID. https://sid.ir/paper/224483/en

Vancouver: Copy

KHARRATI KOOPAEI H., MOHAMMADABADI M.R.. MODEL FOR PREDICTION OF FAT AND MILK PRODUCTION TRAITS USING OF DGAT1 GENE POLYMORPHISM IN IRANIAN HOLSTEIN CATTLE POPULATION. JOURNAL OF AGRICULTURAL BIOTECHNOLOGY[Internet]. 2013;5(2):17-27. Available from: https://sid.ir/paper/224483/en

IEEE: Copy

H. KHARRATI KOOPAEI, and M.R. MOHAMMADABADI, “MODEL FOR PREDICTION OF FAT AND MILK PRODUCTION TRAITS USING OF DGAT1 GENE POLYMORPHISM IN IRANIAN HOLSTEIN CATTLE POPULATION,” JOURNAL OF AGRICULTURAL BIOTECHNOLOGY, vol. 5, no. 2, pp. 17–27, 2013, [Online]. Available: https://sid.ir/paper/224483/en

Related Journal Papers