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Pan C, Yang C, Ma Y, Sheng H, Lei Z, Wang S, Hu H, Feng X, Zhang J, Ma Y. Identification of Key Genes Associated With Early Calf-Hood Nutrition in Subcutaneous and Visceral Adipose Tissues by Co-Expression Analysis. Front Vet Sci 2022; 9:831129. [PMID: 35619603 PMCID: PMC9127810 DOI: 10.3389/fvets.2022.831129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/29/2022] [Indexed: 12/31/2022] Open
Abstract
Background Substantive evidence has confirmed that nutrition state is associated with health risk and the onset of pubertal and metabolic profile. Due to heterogeneity, adipose tissues in different anatomical positions tend to show various metabolic mechanisms for nutrition. To date, the complicated molecular mechanisms of early calf-hood nutrition on bovine adipose tissue are still largely unknown. This study aimed to identify key genes and functionally enriched pathways associated with early calf-hood nutrition in visceral and subcutaneous adipose tissue. Results The RNA-seq data of visceral and subcutaneous adipose tissues of calves feeding on low and high dietary nutrition for more than 100 days were downloaded and analyzed by weighted gene co-expression network analysis (WGCNA). Two modules that positively associated with a low plane of nutrition diet and two modules with a high plane of nutrition diet were identified in the subcutaneous adipose tissue. The blue and yellow modules, most closely associated with low and high nutrition, were selected for the functional enrichment analysis and exploration of hub genes. The results showed that genes in the blue module were significantly enriched in pathways that related to fat metabolism, reproduction, and cell communication. Genes in the yellow module were enriched in pathways related to fat metabolism, reproduction, cell proliferation, and senescence. Meanwhile, the blue and brown modules in visceral adipose tissue were most closely associated with low and high nutrition, respectively. Notably, genes of the blue module were significantly enriched in pathways related to substance metabolism, and genes in the brown module were significantly enriched in energy metabolism and disease pathways. Finally, key genes in subcutaneous adipose tissue for low nutrition (PLCG1, GNA11, and ANXA5) and high nutrition (BUB1B, ASPM, RRM2, PBK, NCAPG, and MKI67), and visceral adipose tissue for low nutrition (RPS5, RPL4, RPL14, and RPLP0) and high nutrition (SDHA and AKT1) were obtained and verified. Conclusion The study applied WGCNA to identify hub genes and functionally enriched pathways in subcutaneous and visceral adipose tissue and provided a basis for studying the effect of early calf-hood nutrition on the two adipose tissue types.
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da Silveira DD, Schmidt PI, Campos GS, de Vargas L, de Souza FRP, Roso VM, Boligon AA. Genetic analysis of growth, visual scores, height, and carcass traits in Nelore cattle. Anim Sci J 2021; 92:e13611. [PMID: 34431165 DOI: 10.1111/asj.13611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 06/09/2021] [Accepted: 07/01/2021] [Indexed: 11/29/2022]
Abstract
Covariance components were estimated for growth traits (BW, birth weight; WW, weaning weight; YW, yearling weight), visual scores (BQ, breed quality; CS, conformation; MS, muscling; NS, navel; PS, finishing precocity), hip height (HH), and carcass traits (BF, backfat thickness; LMA, longissimus muscle area) measured at yearling. Genetic gains were obtained and validation models on direct and maternal effects for BW and WW were fitted. Genetic correlations of growth traits with CS, PS, MS, and HH ranged from 0.20 ± 0.01 to 0.94 ± 0.01 and were positive and low with NS (0.11 ± 0.01 to 0.20 ± 0.01) and favorable with BQ (0.14 ± 0.02 to 0.37 ± 0.02). Null to moderate genetic correlations were obtained between growth and carcass traits. Genetic gains were positive and significant, except for BW. An increase of 0.76 and 0.72 kg is expected for BW and WW, respectively, per unit increase in estimated breeding value (EBV) for direct effect and an additional 0.74 and 1.43, respectively, kg per unit increase in EBV for the maternal effect. Monitoring genetic gains for HH and NS is relevant to maintain an adequate body size and a navel morphological correction, if necessary. Simultaneous selection for growth, morphological, and carcass traits in line with improve maternal performance is a feasible strategy to increase herd productivity.
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Affiliation(s)
| | | | | | - Lucas de Vargas
- Department of Animal Science, Federal University of Pelotas, Pelotas, Brazil
| | | | | | - Arione Augusti Boligon
- Department of Animal Science, Federal University of Pelotas, Pelotas, Brazil.,National Council for Science and Technological Development, Brasília, Brazil
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Ferreira Júnior RJ, Bonilha SFM, Monteiro FM, Cyrillo JNSG, Branco RH, Silva JAIV, Mercadante MEZ. Evidence of negative relationship between female fertility and feed efficiency in Nellore cattle. J Anim Sci 2018; 96:4035-4044. [PMID: 29986041 DOI: 10.1093/jas/sky276] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 07/06/2018] [Indexed: 11/12/2022] Open
Abstract
The objective of this study was to evaluate phenotypic and genetic relationships between fertility traits and feed efficiency in male and female Nellore cattle. Data from 320 females born between 2004 and 2011 were used for phenotypic evaluation. These animals were evaluated for postweaning residual feed intake (RFI) and classified as negative (RFI < 0, mean = -0.294 ± 0.017 kg DM/d) or positive RFI (RFI > 0, mean = 0.305 ± 0.0189 kg DM/d). Of these, 118 prepuberal heifers were submitted to ultrasonography of the uterus and ovaries for monitoring the presence (or absence) of a corpus luteum and for the measurement of endometrial thickness. The following fertility traits were evaluated in all females: age at first calving, days to calving, first calving interval, calving success, stayability, and longevity. The variance components were estimated by the average information restricted maximum likelihood method under an animal model in 5-trait analysis of backfat and rump fat thickness, scrotal circumference, days to calving, and RFI. The total number of animals with records was 6,718, including 927 males with records of scrotal circumference and RFI and 264 females with records of days to calving and RFI. Negative RFI females consumed 12.5% less DM daily than positive RFI females and had a lower rump fat thickness when evaluated postweaning. Among the fertility traits studied, only first calving interval differed (P = 0.0858) between RFI classes, with the interval of negative RFI females being 45 d shorter than that of positive RFI animals. The heritability estimates were 0.29, 0.34, 0.50, 0.12, and 0.16 for backfat and rump fat thickness, scrotal circumference, days to calving, and RFI, respectively. The genetic correlations between RFI and the other traits studied were unfavorable for selection and were of moderate magnitude with backfat thickness, rump fat thickness, and days to calving (0.53, 0.37, and -0.49, respectively) and close to zero with scrotal circumference (0.07). Scrotal circumference (0.17 and 0.15) and days to calving (-0.10 and -0.22) were weakly and favorably correlated with backfat and rump fat thickness. There is evidence of moderate genetic antagonism between female fertility and feed efficiency, but with no evidence of a genetic correlation between male fertility and feed efficiency. There is also evidence of low genetic synergism between fat thickness and fertility.
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Affiliation(s)
| | - Sarah F M Bonilha
- APTA Beef Cattle Center, Institute of Animal Science, Sertãozinho, SP, Brazil
| | - Fábio M Monteiro
- APTA Beef Cattle Center, Institute of Animal Science, Sertãozinho, SP, Brazil
| | | | - Renata H Branco
- APTA Beef Cattle Center, Institute of Animal Science, Sertãozinho, SP, Brazil
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Martínez RA, Dassonneville R, Bejarano D, Jimenez A, Even G, Mészáros G, Sölkner J. Direct and maternal genetic effects on growth, reproduction, and ultrasound traits in zebu Brahman cattle in Colombia1. J Anim Sci 2016; 94:2761-9. [DOI: 10.2527/jas.2016-0453] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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5
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Bonin MN, Ferraz JBS, Pedrosa VB, Silva SL, Gomes RC, Cucco DC, Santana MHA, Campos JHA, Barbosa VN, Castro FSF, Novais FJ, Oliveira ECM. Visual body-scores selection and its influence on body size and ultrasound carcass traits in Nellore cattle1. J Anim Sci 2015; 93:5597-606. [DOI: 10.2527/jas.2015-9280] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- M. N. Bonin
- Department of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo 13635-900, Brazil
| | - J. B. S. Ferraz
- Department of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo 13635-900, Brazil
| | - V. B. Pedrosa
- Department of Animal Science, Ponta Grossa State University, Ponta Grossa, Paraná 84030-000, Brazil
| | - S. L. Silva
- Department of Animal Science, College of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, Sao Paulo 13635-900, Brazil
| | - R. C. Gomes
- Embrapa Beef Cattle, Brazilian Agricultural Research Corporation, Campo Grande, Mato Grosso do Sul 79106-550, Brazil
| | - D. C. Cucco
- Department of Animal Science, Santa Catarina State University, Chapeco, Santa Catarina 89815-630, Brazil
| | - M. H. A. Santana
- Department of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo 13635-900, Brazil
| | - J. H. A. Campos
- Department of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo 13635-900, Brazil
| | - V. N. Barbosa
- Department of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo 13635-900, Brazil
| | - F. S. F. Castro
- Department of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo 13635-900, Brazil
| | - F. J. Novais
- Department of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo 13635-900, Brazil
| | - E. C. M. Oliveira
- Department of Veterinary Medicine, College of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo 13635-900, Brazil
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Scholz AM, Bünger L, Kongsro J, Baulain U, Mitchell AD. Non-invasive methods for the determination of body and carcass composition in livestock: dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging and ultrasound: invited review. Animal 2015; 9:1250-64. [PMID: 25743562 PMCID: PMC4492221 DOI: 10.1017/s1751731115000336] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2014] [Accepted: 02/08/2015] [Indexed: 12/24/2022] Open
Abstract
The ability to accurately measure body or carcass composition is important for performance testing, grading and finally selection or payment of meat-producing animals. Advances especially in non-invasive techniques are mainly based on the development of electronic and computer-driven methods in order to provide objective phenotypic data. The preference for a specific technique depends on the target animal species or carcass, combined with technical and practical aspects such as accuracy, reliability, cost, portability, speed, ease of use, safety and for in vivo measurements the need for fixation or sedation. The techniques rely on specific device-driven signals, which interact with tissues in the body or carcass at the atomic or molecular level, resulting in secondary or attenuated signals detected by the instruments and analyzed quantitatively. The electromagnetic signal produced by the instrument may originate from mechanical energy such as sound waves (ultrasound - US), 'photon' radiation (X-ray-computed tomography - CT, dual-energy X-ray absorptiometry - DXA) or radio frequency waves (magnetic resonance imaging - MRI). The signals detected by the corresponding instruments are processed to measure, for example, tissue depths, areas, volumes or distributions of fat, muscle (water, protein) and partly bone or bone mineral. Among the above techniques, CT is the most accurate one followed by MRI and DXA, whereas US can be used for all sizes of farm animal species even under field conditions. CT, MRI and US can provide volume data, whereas only DXA delivers immediate whole-body composition results without (2D) image manipulation. A combination of simple US and more expensive CT, MRI or DXA might be applied for farm animal selection programs in a stepwise approach.
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Affiliation(s)
- A. M. Scholz
- Livestock Center Oberschleißheim,
Ludwig-Maximilians-University Munich,
Sankt-Hubertusstrasse 12, 85764
Oberschleißheim, Germany
| | - L. Bünger
- SRUC, Animal and Veterinary Sciences,
Roslin Institute Building, Easter Bush,
Midlothian, Scotland EH25 9RG,
UK
| | - J. Kongsro
- Norsvin, Department of Animal and Aquacultural
Sciences, c/o Norwegian University of Life Sciences,
PO Box 5003, N-1432 Ås,
Norway
| | - U. Baulain
- Institute of Farm Animal Genetics,
Friedrich-Loeffler-Institut, Hoeltystr.10,
31535 Neustadt, Germany
| | - A. D. Mitchell
- Agricultural Research Service (Retired), US Department of
Agriculture, 10300 Baltimore Avenue, BARC-West,
Beltsville, MD 20705, USA
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Fonseca PDDS, de Souza FRP, de Camargo GMF, Gil FMM, Cardoso DF, Zetouni L, Braz CU, Boligon AA, Branco RH, de Albuquerque LG, Mercadante MEZ, Tonhati H. Association of ADIPOQ, OLR1 and PPARGC1A gene polymorphisms with growth and carcass traits in Nelore cattle. Meta Gene 2015; 4:1-7. [PMID: 25853056 PMCID: PMC4354916 DOI: 10.1016/j.mgene.2015.02.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Revised: 01/12/2015] [Accepted: 02/04/2015] [Indexed: 01/19/2023] Open
Abstract
In beef cattle farming, growth and carcass traits are important for genetic breeding programs. Molecular markers can be used to assist selection and increase genetic gain. The ADIPOQ, OLR1 and PPARGC1A genes are involved in lipid synthesis and fat accumulation in adipose tissue. The objective of this study was to identify polymorphisms in these genes and to assess the association with growth and carcass traits in Nelore cattle. A total of 639 animals were genotyped by PCR-RFLP for rs208549452, rs109019599 and rs109163366 in ADIPOQ, OLR1 and PPARGC1A gene, respectively. We analyzed the association of SNPs identified with birth weight, weaning weight, female yearling weight, female hip height, male yearling weight, male hip height, loin eye area, rump fat thickness, and backfat thickness. The OLR1 marker was associated with rump fat thickness and weaning weight (P < 0.05) and the PPARGC1 marker was associated with female yearling weight.
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Affiliation(s)
- Patrícia D da S Fonseca
- Universidade Estadual Paulista (Unesp), Departamento de Zootecnia, Jaboticabal, SP 14884-900, Brazil
| | - Fábio R P de Souza
- Universidade Federal de Pelotas (UFPel), Departamento de Ecologia, Zoologia e Genética, Pelotas, RS 96010-900, Brazil
| | - Gregório M F de Camargo
- Universidade Estadual Paulista (Unesp), Departamento de Zootecnia, Jaboticabal, SP 14884-900, Brazil
| | - Fernanda M M Gil
- Universidade Estadual Paulista (Unesp), Departamento de Zootecnia, Jaboticabal, SP 14884-900, Brazil
| | - Diercles F Cardoso
- Universidade Estadual Paulista (Unesp), Departamento de Zootecnia, Jaboticabal, SP 14884-900, Brazil
| | - Larissa Zetouni
- Universidade Estadual Paulista (Unesp), Departamento de Zootecnia, Jaboticabal, SP 14884-900, Brazil
| | - Camila U Braz
- Universidade Estadual Paulista (Unesp), Departamento de Zootecnia, Jaboticabal, SP 14884-900, Brazil
| | - Arione A Boligon
- Universidade Federal de Pelotas (UFPel), Departamento de Zootecnia, Pelotas, RS 96010-900, Brazil
| | - Renata H Branco
- Instituto de Zootecnia, Centro APTA Bovinos de Corte, Sertãozinho, SP, Brazil
| | - Lucia G de Albuquerque
- Universidade Estadual Paulista (Unesp), Departamento de Zootecnia, Jaboticabal, SP 14884-900, Brazil
| | | | - Humberto Tonhati
- Universidade Estadual Paulista (Unesp), Departamento de Zootecnia, Jaboticabal, SP 14884-900, Brazil
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Nunes J, Piquerez M, Pujadas L, Armstrong E, Fernández A, Lecumberry F. Beef quality parameters estimation using ultrasound and color images. BMC Bioinformatics 2015; 16 Suppl 4:S6. [PMID: 25734452 PMCID: PMC4347620 DOI: 10.1186/1471-2105-16-s4-s6] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Background Beef quality measurement is a complex task with high economic impact. There is high interest in obtaining an automatic quality parameters estimation in live cattle or post mortem. In this paper we set out to obtain beef quality estimates from the analysis of ultrasound (in vivo) and color images (post mortem), with the measurement of various parameters related to tenderness and amount of meat: rib eye area, percentage of intramuscular fat and backfat thickness or subcutaneous fat. Proposal An algorithm based on curve evolution is implemented to calculate the rib eye area. The backfat thickness is estimated from the profile of distances between two curves that limit the steak and the rib eye, previously detected. A model base in Support Vector Regression (SVR) is trained to estimate the intramuscular fat percentage. A series of features extracted on a region of interest, previously detected in both ultrasound and color images, were proposed. In all cases, a complete evaluation was performed with different databases including: color and ultrasound images acquired by a beef industry expert, intramuscular fat estimation obtained by an expert using a commercial software, and chemical analysis. Conclusions The proposed algorithms show good results to calculate the rib eye area and the backfat thickness measure and profile. They are also promising in predicting the percentage of intramuscular fat.
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Lee JH, Oh SH, Lee YM, Kim YS, Son HJ, Jeong DJ, Whitley NC, Kim JJ. Study on Growth Curves of Longissimus dorsi Muscle Area, Backfat Thickness and Body Conformation for Hanwoo (Korean Native) Cows. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2014; 27:1250-3. [PMID: 25178367 PMCID: PMC4150190 DOI: 10.5713/ajas.2013.13797] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Revised: 03/26/2014] [Accepted: 05/04/2014] [Indexed: 11/27/2022]
Abstract
The objective of this study was to estimate the parameters of Gompertz growth curves with the measurements of body conformation, real-time ultrasound longissimus dorsi muscle area (LMA) and backfat thickness (BFT) in Hanwoo cows. The Hanwoo cows (n = 3,373) were born in 97 Hanwoo commercial farms in the 17 cities or counties of Gyeongbuk province, Korea, between 2000 and 2007. A total of 5,504 ultrasound measurements were collected for the cows at the age of 13 to 165 months in 2007 and 2008. Wither height (HW), rump height (HR), the horizontal distance between the top of the hips (WH), and girth of chest (GC) were also measured. Analysis of variance was conducted to investigate variables affecting LMA and BFT. The effect of farm nested in location was included in the statistical model, as well as the effects of HW, HR, WH, and GC as covariates. All of the effects were significant in the analysis of variance for LMA and BFT (p<0.01), except for the HR effect for LMA. The two ultrasound measures and the four body conformation traits were fitted to a Gompertz growth curve function to estimate parameters. Upper asymptotic weights were estimated as 54.0 cm2, 7.67 mm, 125.6 cm, 126.4 cm, 29.3 cm, and 184.1 cm, for LMA, BFT, HW, HR, WH, and GC, respectively. Results of ultrasound measurements showed that Hanwoo cows had smaller LMA and greater BFT than other western cattle breeds, suggesting that care must be taken to select for thick BFT rather than an increase of only beef yield. More ultrasound records per cow are needed to get accurate estimates of growth curve, which, thus, helps producers select animals with high accuracy.
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Affiliation(s)
- J H Lee
- Department of Animal Sciences, North Carolina A&T State University, Greensboro, NC 27411, USA
| | - S-H Oh
- Department of Animal Sciences, North Carolina A&T State University, Greensboro, NC 27411, USA
| | - Y M Lee
- School of Biotechnology, Yeungnam University, Gyeongsan 712-749, Korea
| | - Y S Kim
- School of Biotechnology, Yeungnam University, Gyeongsan 712-749, Korea
| | - H J Son
- Gyeongbuk Livestock Research Institute, Yeongju 750-871, Korea
| | - D J Jeong
- Gyeongbuk Livestock Research Institute, Yeongju 750-871, Korea
| | - N C Whitley
- Department of Animal Sciences, North Carolina A&T State University, Greensboro, NC 27411, USA
| | - J J Kim
- School of Biotechnology, Yeungnam University, Gyeongsan 712-749, Korea
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Lee JH, Lee YM, Oh SH, Son HJ, Jeong DJ, Whitley N, Kim JJ. Estimation of Genetic Parameters for Real-time Ultrasound Measurements for Hanwoo Cows at Different Ages and Pregnancy Status. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2014; 27:155-60. [PMID: 25049938 PMCID: PMC4093205 DOI: 10.5713/ajas.2013.13430] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Revised: 11/01/2013] [Accepted: 10/08/2013] [Indexed: 11/27/2022]
Abstract
The purpose of this study was to estimate genetic parameters of ultrasound measurements for longissimus dorsi muscle area (LMA), backfat thickness (BFT), and marbling score (MS) in Hanwoo cows (N = 3,062) at the ages between 18 and 42 months. Data were collected from 100 Hanwoo breeding farms in Gyeongbuk province, Korea, in 2007 and 2008. The cows were classified into four different age groups, i.e. 18 to 22 months (the first pregnancy period), 23 to 27 (the first parturition), 28 to 32 (the second pregnancy), and 33 to 42 (the second parturition), respectively. For each age group, a multi-trait animal model was used to estimate variance components and heritabilities of the three traits. The averages of LMA, BFT, and MS measurements across the cows of all age groups were 50.1 cm2, 4.62 mm, and 3.04, respectively and heritability estimates were 0.09, 0.10, and 0.08 for the respective traits. However, when the data were analyzed in different age groups, heritability estimates of LMA and BFT were 0.24 and 0.47, respectively, for the cows of 18 to 22 months of age, and 0.21 for MS in the 28 to 32 months old cows. When the cows of all age groups were used, the estimates of genetic (phenotypic) correlations were 0.43 (0.35), −0.06 (0.34) and 0.21 (0.32) between LMA and BFT, LMA and MS, and BFT and MS, respectively. However, in the cow age group between 28 and 32 (18 and 22) months, the estimates of genetic (phenotypic) correlations were 0.05 (0.29), −0.15 (0.24) and 0.38 (0.24), for the respective pairs of traits. These results suggest that genetic, environmental, and phenotypic variations differ depending on cow age, such that care must be taken when ultrasound measurements are applied to selection of cows for meat quality.
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Affiliation(s)
- J H Lee
- Gyeongbuk Provincial College, Yecheon, Gyeongbuk, Korea
| | - Y M Lee
- Gyeongbuk Provincial College, Yecheon, Gyeongbuk, Korea
| | - S-H Oh
- Gyeongbuk Provincial College, Yecheon, Gyeongbuk, Korea
| | - H J Son
- Gyeongbuk Provincial College, Yecheon, Gyeongbuk, Korea
| | - D J Jeong
- Gyeongbuk Provincial College, Yecheon, Gyeongbuk, Korea
| | - Niki Whitley
- Gyeongbuk Provincial College, Yecheon, Gyeongbuk, Korea
| | - J J Kim
- Gyeongbuk Provincial College, Yecheon, Gyeongbuk, Korea
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Elzo M, Martinez C, Lamb G, Johnson D, Thomas M, Misztal I, Rae D, Wasdin J, Driver J. Genomic-polygenic evaluation for ultrasound and weight traits in Angus–Brahman multibreed cattle with the Illumina3k chip. Livest Sci 2013. [DOI: 10.1016/j.livsci.2013.02.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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