2012
DOI: 10.1016/j.livsci.2012.04.006
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A single nucleotide polymorphism in the rabbit growth hormone (GH1) gene is associated with market weight in a commercial rabbit population

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Cited by 23 publications
(52 citation statements)
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“…Additive genetic effect (a) and dominance effect (d) were calculated as described by Fontanesi et al (2012). In brief, the additive genetic effect for the PGAM2 genotypes was estimated as half of the difference between values of the two homozygous groups.…”
Section: Animals Growth Traits and Carcass Traitsmentioning
confidence: 99%
“…Additive genetic effect (a) and dominance effect (d) were calculated as described by Fontanesi et al (2012). In brief, the additive genetic effect for the PGAM2 genotypes was estimated as half of the difference between values of the two homozygous groups.…”
Section: Animals Growth Traits and Carcass Traitsmentioning
confidence: 99%
“…Amplification of PCR was carried out by using specific primer (Fontanesi et al, 2012) for parts of the 5'-flanking region and 5'untranslated region, exon 1 and with method of two step gradient cycle PCR (Lopez & Prezioso, 2001;Xiong, 2004). Primers used were for forward 5'-GTATAGTGGGATGGGGTTGG -3 'and reverse 5'-TTACGCTCCCATTCAGAAGC -3' (Gen Bank access number Z28137).…”
Section: Polymerase Chain Reaction (Pcr)mentioning
confidence: 99%
“…The amplification fragment of the GH gene was performed by Fontanesi et al (2012) with an annealing temperature of 58 o C, but in this research has different temperature to get amplicon. The optimal annealing annealing temperature in this research was 68 o C on 5 cycle and 60 o C on 15 cycle.…”
Section: Gh Gene Amplificationmentioning
confidence: 99%
See 1 more Smart Citation
“…a ¼ 1/2(BB À AA) and the dominance effect (d) as AB À1/2(AA þ BB). The ratio jd/aj was considered to indicate gene effects (Stuber et al 1987): jd/ aj < 0.2, additive; 0.2 < jd/aj < 0.8, partial dominance; 0.8 < jd/a j< 1.2, dominance; jd/aj > 1.2, overdominance (Fontanesi et al 2012). In order to isolate the interaction of fixed effects, we evaluate the interactions between the fixed factors considered (farm-seasonality, farm-parity, parity-seasonality).…”
Section: Discussionmentioning
confidence: 99%