Genetic relationships between sex-specific traits in beef cattle: Mature weight, weight adjusted for body condition score, height and body condition score of cows, and carcass traits of their steer relatives1

Nephawe, Khathutshelo Agree; Cundiff, L. V.; Dikeman, Michael E.; Crouse, J. D.; Vleck, L.D. Van

doi:10.2527/2004.823647x

Cited by 47 publications

(23 citation statements)

References 27 publications

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“…As in the present work, Schenkel et al (2004) and Nephawe et al (2004) also estimated negative correlations between HH and BF, but although significantly different from zero, their estimates were of smaller magnitude (−0.17 and −0.16, respectively). When analyzing the genetic correlations between subcutaneous fat and height measured at different body locations, such as hump height or wither Ultrasound and carcass genetic parameters for Nelore height, Aass (1996) and Smith et al (2007) also found moderately negative genetic correlations of −0.29 and −0.20 between these traits, respectively.…”

Section: Resultscontrasting

confidence: 55%

“…Because BW at any age are genetically and positively correlated, selection for BW at young ages will result in larger birth and adult BW (Meyer, 1993;Kaps et al, 1999). Also, selection for faster growth will lead to large-frame ani-mals that mature at heavier BW (Meyer, 1993;Nephawe et al, 2004;Yokoo et al, 2007). This strategy is especially inappropriate for extensive production systems.…”

Section: Introductionmentioning

confidence: 97%

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Genetic associations between carcass traits measured by real-time ultrasound and scrotal circumference and growth traits in Nelore cattle1

Yokoo

Lôbo

Araújo³

et al. 2010

Journal of Animal Science

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The aim of the present study was to evaluate the genetic correlations among real-time ultrasound carcass, BW, and scrotal circumference (SC) traits in Nelore cattle. Carcass traits, measured by real-time ultrasound of the live animal, were recorded from 2002 to 2004 on 10 farms across 6 Brazilian states on 2,590 males and females ranging in age from 450 to 599 d. Ultrasound records of LM area (LMA) and backfat thickness (BF) were obtained from cross-sectional images between the 12th and 13th ribs, and rump fat thickness (RF) was measured between the hook and pin bones over the junction between gluteus medius and biceps femoris muscles. Also, BW (n = 22,778) and SC (n = 5,695) were recorded on animals born between 1998 and 2003. The BW traits were 120, 210, 365, 450, and 550-d standardized BW (W120, W210, W365, W450, and W550), plus BW (WS) and hip height (HH) on the ultrasound scanning date. The SC traits were 365-, 450-, and 550-d standardized SC (SC365, SC450, and SC550). For the BW and SC traits, the database used was from the Nelore Breeding Program-Nelore Brazil. The genetic parameters were estimated with multivariate animal models and REML. Estimated genetic correlations between LMA and other traits were 0.06 (BF), -0.04 (RF), 0.05 (HH), 0.58 (WS), 0.53 (W120), 0.62 (W210), 0.67 (W365), 0.64 (W450 and W550), 0.28 (SC365), 0.24 (SC450), and 0.00 (SC550). Estimated genetic correlations between BF and with other traits were 0.74 (RF), -0.32 (HH), 0.19 (WS), -0.03 (W120), -0.10 (W210), 0.04 (W365), 0.01 (W450), 0.06 (W550), 0.17 (SC365 and SC450), and -0.19 (SC550). Estimated genetic correlations between RF and other traits were -0.41 (HH), -0.09 (WS), -0.13 (W120), -0.09 (W210), -0.01 (W365), 0.02 (W450), 0.03 (W550), 0.05 (SC365), 0.11 (SC450), and -0.18 (SC550). These estimates indicate that selection for carcass traits measured by real-time ultrasound should not cause antagonism in the genetic improvement of SC and BW traits. Also, selection to increase HH might decrease subcutaneous fat as correlated response. Therefore, to obtain animals suited to specific tropical production systems, carcass, BW, and SC traits should be considered in selection programs.

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Section: Resultscontrasting

confidence: 55%

Section: Introductionmentioning

confidence: 97%

Genetic associations between carcass traits measured by real-time ultrasound and scrotal circumference and growth traits in Nelore cattle1

Yokoo

Lôbo

Araújo³

et al. 2010

Journal of Animal Science

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“…Van Vleck et al, 1992;Barkhouse et al, 1996;Splan et al, 1998;Johnston et al, 2003), suggesting that selection for decreased toughness would result in little genetic progress. Only the studies of Wilson et al (1976) and Nephawe et al (2004) report higher heritabilities for toughness, being 0.23 and 0.26, respectively. However, Johnston et al (2003) reported heritabilities for toughness-related traits in tropical cattle breeds that were two to three times higher than those generally found in temperate breeds, begging the question of why the tropical and temperate cattle differ in this trait.…”

Section: Discussionmentioning

confidence: 99%

“…Lamb flavour, in our study, was moderately heritable (0.21), which differs from available estimates in studies in beef cattle. Specifically, published heritabilities of beef flavour are 0.03 (Van Vleck et al, 1992), 0.04 (Splan et al, 1998) and 0.05 (Nephawe et al, 2004).…”

Section: Discussionmentioning

confidence: 99%

Genetic analyses of sensory characteristics and relationships with fatty acid composition in the meat from Scottish Blackface lambs

Karamichou

Richardson

Nute

et al. 2007

Animal

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Genetic parameters for eating quality assessed by trained taste panellists were estimated on longissimus thoracis et lumborum (LTL) muscle in Scottish Blackface lambs, comprising lines previously divergently selected for carcass lean content (FAT and LEAN lines) as well as crosses between these lines. Also, relationships between eating quality assessments and fatty acid composition were investigated. Eating quality and fatty acid phenotypic measurements were made on 350 male lambs, at ca. 8 months of age. Eating quality measurements included 18 descriptive terms and fatty acid composition measurements included in total 17 fatty acids of three types: saturated, monounsaturated and polyunsaturated. The FAT line had juicier meat and more vegetable flavour than the LEAN line. Most of the eating quality traits were moderately to highly heritable, with heritabilities ranging from 0.21 (lamb flavour) to 0.92 (sweet flavour). Lamb flavour, juiciness and overall liking were strongly negatively correlated with individual polyunsaturated fatty acids, with the correlations being significantly different from zero. Overall liking was strongly positively correlated with the proportion of total monounsaturated fatty acids. This study provides new information on genetic parameters for eating quality traits in sheep, which may lead to novel opportunities for genetically improving these traits.

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“…It is also similar to the results obtained by Urioste et al (1998) in pasture-fed Uruguayan beef cattle as well as those of Nephawe (2004) in Bonsmara cattle using random regression models. The estimates are, however, lower than those Mwansa et al (2002) in Hereford cows and Nephawe et al (2004) in Hereford Angus cows. It is also lower than the average of the estimates listed by Koots et al (1994) in a review article.…”

Section: Figure 1 the Relationship Between Cow Age Class (In Years) Amentioning

confidence: 41%

Genetic parameters for cow weight at calving and at calf weaning in South African Simmental cattle (Short communication)

Crook¹,

Neser²,

Bradfield³

2010

SA J. An. Sci.

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A study was conducted to compare mature cow weight in the South African Simmental population when defined as the weight of the cow at calving or the weight of the cow at weaning of the calf. Data included in the analysis were 14458 records for cow weight at calving (CWT-C) representing 6534 cows and 18871 records for cow weight at weaning (CWT-W) representing 8395 cows. All cows were born between 1968 and 1996, while all calves were born between 1977 and 1998. The following effects had a significant influence on the traits and were included in the genetic analysis: Cow age in years fitted as a covariate term (linear and quadratic) and contemporary group fitted as a fixed effect. Contemporary group was defined as the unique combination of herd, birth year of calf, month of weighing, breeder-defined management group code for the calf and supplementary feeding code for the cow (for CWT-W). All analyses were done using ASREML, first fitting uni-trait and then bi-variate animal models that made provision for up to four weights per cow. The estimated genetic correlation obtained between the two cow weight traits was 0.95 ± 0.03, with a residual correlation of 0.61 ± 0.02. The heritability estimates for CWT-C and CWT-W from this analysis were 0.29 ± 0.04 and 0.37 ± 0.04, respectively. From a breeding perspective, these results confirm that little benefit is to be gained from weighing cows at calving if cows are to be weighed at weaning. If cow weights are to be recorded for an indication of cow maintenance costs, then weight at weaning is the more reliable and practical measure to record.

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Genetic relationships between sex-specific traits in beef cattle: Mature weight, weight adjusted for body condition score, height and body condition score of cows, and carcass traits of their steer relatives1

Cited by 47 publications

References 27 publications

Genetic associations between carcass traits measured by real-time ultrasound and scrotal circumference and growth traits in Nelore cattle1

Genetic associations between carcass traits measured by real-time ultrasound and scrotal circumference and growth traits in Nelore cattle1

Genetic analyses of sensory characteristics and relationships with fatty acid composition in the meat from Scottish Blackface lambs

Genetic parameters for cow weight at calving and at calf weaning in South African Simmental cattle (Short communication)

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