Estimation of Most Probable Producing Ability Value for Calf Birth's Performance in Sumba Ongole Cows

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The growth hormone receptor (GHR) gene is member of the class I cytokine receptor family that important in growth regulation including in cattle. This study aimed to analyze the association between GHR|AluI gene with body weight, parameters in Grati-PO cattle population. A total of 304 blood samples were collected from the experimental station at the Beef Cattle Research Station, which were also equipped with 304 phenotypic data. DNA was extracted using a zymo extraction kit. Detection of of the polymorphism of GHR gene using PCR-RFLP method with AluI restriction enzymes. polymorphism indicators include genotype frequency, allele frequency, Hardy-Weinberg Equilibrium, observed heterozygosity (Ho), expected heterozygosity (He), polymorphism information content (PIC) and number of effective alleles (Ne). Association analysis was carried out using a linear mixed model. The performance of birth weight, weaning weight, yearling weight and 18 months weight were 25.4 + 0.2 kg; 113.8 + 2.3 kg; 159.9 + 2.7 kg and 213.7 + 3.6 kg, respectively. The result of association analysis was significant (P<0.05) on weaning weight, yearling weight and 18 months weight. It could be concluded that the GHR gene has potential to be a candidate genetic marker for growth traits in Grati-PO cattle.

Section: Association Of Ghr | Alui Gene With Body Weight In Grati-po ...mentioning

confidence: 99%

Association of GHR|AluI gene polymorphism with body weight parameters in Grati-PO cattle

Hartati

Hapsari²,

Soewandi³

et al. 2021

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“…According to Agung et al (2015), the SO cattle has excellent potential as beef cattle based on the ability to gain higher dressing percentage (>50%) compare with other local breeds cattle in Indonesia. Recently, Indonesian farmers can do the selection in the SO cattle based on the MPPA value, breeding value and also performance test (Said et al, 2016a;Said et al, 2016b) but it is need more genetic information to determine the population for the breeding program. However, the superior SO cattle can be generated through the breeding program with early detection system based on the genetic information using molecular technology.…”

Section: Introductionmentioning

confidence: 99%

Association of growth hormone (GH) gene polymorphism with growth and carcass in Sumba Ongole (SO) cattle

Agung

Anwar

Putra

et al. 2017

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ABSTRAKTelah dilakukan suatu penelitian untuk mengidentifikasi keragaman gen Growth Hormone (GH) daerah intron 3 dan mengevaluasi asosiasinya terhadap beberapa parameter pertumbuhan dan produksi karkas pada sapi Sumba Ongole (SO). Sebanyak 267 sampel DNA sapi SO digunakan dalam analisa PCR-RFLP (Polymerase Chain Reaction-Restriction Fragment Length Polymorphism) dengan enzim restriksi MspI untuk mengidentifikasi beberapa genotipe di daerah intron 3. Data parameter pertumbuhan (n=44) yang diamati adalah bobot lahir (BW), bobot sapih umur 205 hari (WW 205 ), bobot umur 365 hari (YW 365 ) dan data produksi karkas (n=122). Terdapat dua alel gen GH yang ditemukan pada sapi SO dalam penelitian ini berdasarkan analisis PCR-RFLP, yaitu alel A (frekuensi=0,87) dan alel B (frekuensi=0,13) serta tiga genotipe (AA, AB, dan BB). Genotipe AA merupakan genotipe dengan frekuensi genotipe tertinggi (0,76) sedangkan genotipe BB memiliki nilai frekuensi genotipe terendah sebesar 0,02. Tingkat keragaman gen GH pada penelitian ini termasuk rendah berdasarkan nilai heterozigositas observasi (H o ) pada populasi sapi SO dalam penelitian yaitu sebesar 0,23 dan nilai PIC (Polymorphism Information Content) sebesar 0,20. Keragaman gen GH yang ditemukan dalam penelitian ini tidak memiliki asosiasi dengan parameter bobot lahir, bobot sapih, bobot umur satu tahun, dan persentase karkas (P>0,05) sehingga tidak dapat dijadikan sebagai penanda atau marker genetik dalam program pemuliaan sapi SO. Kata kunci : asosiasi, growth hormone, pertumbuhan, karkas, Sumba Ongole ABSTRACTA study was conducted to identify the polymorphism in the intron 3 of the Growth Hormone (GH) gene and also to evaluate the association of the GH gene polymorphism with growth parameters and dressing percentage in the Sumba Ongole (SO) cattle. A total of 267 individual DNA samples were used in the Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) analysis. The SO cattle growth parameters data (n=44) including birth weight (BW), weaning weight at 205 days of age (WW 205 ), yearling weight at 365 days of age (YW 365 ) and also dressing percentage (DP) (n=122) were investigated in this study. There were three genotypes (AA, AB, and BB) of the GH gene based on the PCR-RFLP analysis with allele frequency was 0.87 and 0.13 for A allele and B allele respectively. The highest genotype frequency in the SO cattle is AA (0.76) and the lowest is BB (0.02). The Growth Hormone Gene in Sumba Ongole Cattle (P. P. Agung et al.) 153 Heterozygosity Observed (H o ) value in the SO cattle population is 0.23 and Polymorphism Information Content (PIC) value is 0.20. Therefore, the genetic diversity in the SO cattle based on the GH gene polymorphism is quite low. There is no association (P>0.05) in BW, WW 205 , YW 365 , and DP with genotypes of the GH gene. As the result, the GH gene in this study cannot be used as a genetic marker in the SO cattle breeding program.

“…Previous studies reported that the average of dressing percentage in SO bull was 51.73 -52.40 kg (Paskah et al, 2016) and the average of body weight in SO bull at ± 2.5 years age was 353.86 -474.08 kg (Said et al, 2016a). Moreover, the birth weight of SO cattle reached of 23.86±5.68 kg (male) and 19.77±3.19 kg (female) as reported by Said et al (2016b). Selection and breeding program for SO cattle in Indonesia is very important to increase meat production in Indonesia.…”

Section: Introductionmentioning

confidence: 68%

“…Unfortunately, the data records for repeatability estimation in this study was not available. Estimation of r value was needed to estimate most probable producing ability (MPPA) and commonly used for cow's selection (Said et al, 2016b). Heritability value could be used to identify the proportion of genetic variance to phenotypic variance in the population (Warwick et al, 1990).…”

Section: Introductionmentioning

confidence: 99%

Non-genetic factor and genetic parameter analysis for growth traits in Sumba Ongole (SO) cattle

Putra

Agung

Said

2018

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The aim of this study was to evaluate non-genetic factors and genetic parameters of the growth traits in Sumba Ongole (SO) cattle. The growth traits were consisted of birth weight (BW), weaning weight (WW), yearling weight (YW), average daily gain of pre-weaning (ADG1) and post-weaning (ADG2). Data from 143 heads of SO cattle (year 2011 to 2016) which raised at PT KAR were used in this study. Generalized Linear Model (GLM) analysis was performed to evaluate non-genetic effect including sex, year of birth, generation and season. Therefore, to evaluate genetic parameters, the heritability (h2) and genetic correlation (rg ) were performed using Paternal Halfshib Correlation method. The results showed that sex of calf had no significant effect (P>0.05) on BW, WW and YW, but year of birth had significant effect on those traits. The factor of season had significant effect on WW. The estimation of h2 values of growth traits were included high category (h2>0.30) and accurate (h2>SE) on BW (0.66±0.42), WW (0.65±0.44), YW (0.67±0.42), ADG1 (0.68±0.45) and ADG2 (0.70±0.43). The estimation of rg values were included high category (rg>0.50) and accurate (rg>SE) on BW-WW (0.87±0.63); BW-YW (0.95±0.87); ADG1-WW (0.99±0.34); WW-YW (0.98±0.48) and ADG1-YW (0.95±0.51). It was concluded that trait of WW could be used as selection criteria to increase YW trait in SO cattle.