Evaluation of potential genetic marker for growth and carcass traits in Sumba Ongole (Bos indicus) cattle
Paskah Partogi Agung, Ferdy Saputra, Widya Pintaka Bayu Putra, Syahruddin Said, Moch. Syamsul Arifin Zein, Febrina Hastuti Harianja, Aditya Sudiro

TL;DR
This study identifies genetic markers in Sumba Ongole cattle that are associated with higher carcass dressing percentage but not with growth traits.
Contribution
The study proposes GHR and STAT5A genes as potential genetic markers for carcass dressing percentage in Sumba Ongole cattle.
Findings
The STAT5A gene showed the highest polymorphism information content.
The CC genotype of STAT5A and AA genotype of GHR were associated with the highest carcass dressing percentage.
No significant associations were found between the genes and growth performance traits.
Abstract
This study was conducted to investigate the variants of the growth hormone receptor (GHR), growth hormone-releasing hormone (GHRH), pituitary-specific transcription factor-1 (PIT1), and signal transducer and activator of transcription 5A (STAT5) genes and their effect on growth performance and dressing percentage (DP) parameters. A total of 401 DNA samples from Sumba Ongole (SO) cattle were utilized for the polymerase chain reaction-restriction fragment length polymorphism method, of which 200 samples were used for the study of DP association and 74 samples were used to investigate growth performance. The SO cattle growth performance includes the following: birth weight, weaning weight at 205 days of age, weaning average daily gain (ADG), yearling weight at 365 days of age, and post-weaning ADG. The GHR, GHRH, PIT1, and STAT5A genes showed polymorphism. The highest polymorphism…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMultimedia Learning Systems · Edcuational Technology Systems · Computer Science and Engineering
