2019
DOI: 10.3906/zoo-1907-44
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Investigation of GH and GHRAlu I gene polymorphisms on meat yields in Anatolian water buffalo breed using PCR-RFLP method

Abstract: The Anatolian water buffalo is a native water buffalo breed only being reared in Turkey. The objective of this study was to investigate gene polymorphisms on exons 4 and 5 of the growth hormone (GH) and on exon 10 of the growth hormone receptor (GHR), which are thought to be related to meat yields of Anatolian water buffalo. Blood samples of 192 water buffaloes from Sivas Province were used in DNA extractions by phenol-chloroform method. DNA samples were amplified by using specific primers in PCR. PCR products… Show more

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Cited by 3 publications
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“…Moreover, mutations in the myostatin gene increase muscle mass and meat yield (Aiello et al, 2018;Bellinge et al, 2005). However, IGF1 (insulin-like growth factor 1), MYOD1 (myogenic differentiation 1), LEP (leptin), CAST (calpastatin), CAPN1 (calpain 1), FABP4 (Fatty acid binding protein 4), GHR (growth hormone receptor), SCD (stearoyl-CoA desaturase), and PPAR-γ (Peroxisome proliferator-activated receptor gamma) are other important genetic markers related to meat yield traits in livestock (Boucher et al, 2006;Mwangi et al, 2022;Özşensoy and Kara, 2019;Ramiah et al, 2016;Raziye, 2019;Sato et al, 2012;Telegina et al, 2018;Yan et al, 2018;Zhang et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, mutations in the myostatin gene increase muscle mass and meat yield (Aiello et al, 2018;Bellinge et al, 2005). However, IGF1 (insulin-like growth factor 1), MYOD1 (myogenic differentiation 1), LEP (leptin), CAST (calpastatin), CAPN1 (calpain 1), FABP4 (Fatty acid binding protein 4), GHR (growth hormone receptor), SCD (stearoyl-CoA desaturase), and PPAR-γ (Peroxisome proliferator-activated receptor gamma) are other important genetic markers related to meat yield traits in livestock (Boucher et al, 2006;Mwangi et al, 2022;Özşensoy and Kara, 2019;Ramiah et al, 2016;Raziye, 2019;Sato et al, 2012;Telegina et al, 2018;Yan et al, 2018;Zhang et al, 2012).…”
Section: Introductionmentioning
confidence: 99%