Genetic parameters and correlations of related feed efficiency, growth, and carcass traits in Hanwoo beef cattle

The content of intramuscular fat (IMF), that determines marbling levels is considered as one of the vital factors influencing beef sensory quality including tenderness, juiciness, flavour and colour. The IMF formation in cattle commences around six months after conception, and continuously grows throughout the life of the animal. The accumulation of marbling is remarkably affected by genetic, sexual, nutritional and management factors. In this review, the adipogenesis and lipogenesis process regulated by various factors and genes during fetal and growing stages is briefly presented. We also discuss the findings of recent studies on the effects of breed, gene, heritability and gender on the marbling accumulation. Various research reported that feeding during pregnancy, concentrate to roughage ratios and the supplementation or restriction of vitamin A, C, and D are crucial nutritional factors affecting the formation and development of IMF. Castration and early weaning combined with high energy feeding are effective management strategies for improving the accumulation of IMF. Furthermore, age and weight at slaughter are also reviewed because they have significant effects on marbling levels. The combination of several factors could positively affect the improvement of the IMF deposition. Therefore, advanced strategies that simultaneously apply genetic, sexual, nutritional and management factors to achieve desired IMF content without detrimental impacts on feed efficiency in high-marbling beef production are essential.

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“…(2017) Wagyu 5,788 0.63 Inoue et al. (2015) Hanwoo 15,279 0.61 Mehrban et al. (2021) Hanwoo 2,110 0.46 Bedhane et al.…”

Section: Genetic Factorsmentioning

confidence: 99%

Main regulatory factors of marbling level in beef cattle

Nguyen

Malau‐Aduli

2021

Veterinary and Animal Science

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“…Generally, feed efficiency is defined as the ratio between product (product) and feed intake (costs) in the form of mass or energy value of product per kilogram of dry matter intake (DMI) (Lovendahll et al, 2018) [16] . Feed efficiency related traits have been shown to have low to medium heritability, meaning that animals that can efficiently make use of feed resources for reducing feeding costs and improving feed efficiency can easily be identified (Mehrban et al, 2021) [18] . Feed efficiency is usually measured using feed conversion ratio (FCR) which is defined as the ratio of feed intake to weight gain (Robinson & Oddy 2004) [22] or residual feed intake (RFI) which is the difference between actual and predicted intake based on its body weight and growth rate over a time period is another measure of feed efficiency (Berry & Crowley, 2013) [4] .…”

Section: Introductionmentioning

confidence: 99%

“…Both RFI and FCR require feed intake information which is difficult to measure in most livestock production systems (Talebi, 2012) [24] . Kleiber Index, (KI) and relative growth rate (RGR) are measures of feed efficiency which do not need individual measurement of intake and can be used to identify and select animals with improved growth efficiency in relation to their body size (Pitchford, 2004 [21,4,17,18] . Kleiber index is defined as the ratio of rate of gain to metabolic body weight, while RGR obtained as the logarithm of rate of daily gain multiplied by 100 (Matos et al, 2019; Mehrban et al, 2021) [17,18] .…”

Section: Introductionmentioning

confidence: 99%

“…Kleiber Index, (KI) and relative growth rate (RGR) are measures of feed efficiency which do not need individual measurement of intake and can be used to identify and select animals with improved growth efficiency in relation to their body size (Pitchford, 2004 [21,4,17,18] . Kleiber index is defined as the ratio of rate of gain to metabolic body weight, while RGR obtained as the logarithm of rate of daily gain multiplied by 100 (Matos et al, 2019; Mehrban et al, 2021) [17,18] . As such the two traits can easily be derived from data that is routinely recorded in most beef cattle production enterprises.…”

Section: Introductionmentioning

confidence: 99%

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Genetic variation and parameters for growth and feed efficiency traits in Boran beef cattle in Kenya

AM¹,

JO²,

Tura³

et al. 2022

Int. J. Vet. Sci. Anim. Husbandry

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A major drawback of improving feed efficiency in beef cattle enterprises is to identify measures of feed efficiency which do not require feed intake information on an individual animal basis. Kleiber Index, (KI) and relative growth rate (RGR) are alternative measures which do not need individual measurement of intake and can be used select for improved feed and growth efficiency in relation to their body size. The aim of this study was to estimate genetic parameters for measures of feed efficiency and growth traits for the Boran beef cattle in Kenya. A total of 1348, 2209, 2183 and 2184 weight records were available for birth, weaning, yearling and 550-day weight records, respectively, were available for animals born between 1973 and 2019. The traits derived were growth rates (ADG), adjusted weights (WA), KI and RGR at weaning (205 days), yearling (365 days) and 550 days. Genetic parameters were estimated using a maternal genetic effects model. Direct heritability estimates for direct heritability estimates for ADG ranged from 0.12±0.04 for ADG205-365 to 0.27±0.02 for ADGB-205. Estimates for WA were in range of 0.05±0.05 at to 0.10±0.05 at 550 days. Estimates for KI were 0.13±0.05 at 205 to 0.29±0.05 at 550 days. For RGR estimate direct heritability at 205 was 0.21±0.05, 0.19±0.04 at 365 and 0.33±0.05 at 550 days. The direct-maternal genetic correlations for WA, ADG, KI and RGR at 205 days were -0.30±0.05, -0.30±0.04, 0.90±0.05 and -0.72±0.04, respectively. Alongside growth traits, Kleiber Index and residual growth rate had substantial heritability estimates, implying potential for improvement through selection.

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“…Recent increases in the costs of feeds have inspired considerable interest in the use of genetic selection strategies to improve feed efficiency in beef cattle [ 1 ]. Thus, breeding programs that can produce animals that require fewer feed inputs without negatively impacting performance traits will improve the profitability of beef cattle production systems [ 2 , 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Individual Feed Efficiency Monitoring of Charolaise Candidate Young Bulls in Relation to Feeding Behavior and Self-Performance Test Results

Holló

Nagy-Kiszlinger

Tossenberger

et al. 2021

Animals

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This study evaluated the effect of differences in residual feed intake (RFI) of Charolaise candidate young bulls on feeding behavior and self-performance test results. Bulls were classified into high and low RFI (H-RFI, L-RFI) groups. Bulls were fed in a HOKOFARM system to measure individual animal intake and behavior. L-RFI bulls had significantly lower feed intakes (p = 0.002) and higher gain to feed ratio (p = 0.001), lower intake per day/kg DM (dry matter) (p = 0.002) and lower intake g/body weight/day (p < 0.001). L-RFI animals had lower visits number per day (p = 0.02), but spent longer time per visit (p = 0.02), and tended to have higher intake g/visit (p = 0.06) on feeders. The correlation between RFI and DMI (dry matter intake)/bodyweight/day as well as intake per day/kg were large and positive. Back-loin length and rump length, and moreover muzzle width and frame, showed negative correlations with RFI value. However, bulls with better RFI values associated with lower legs score. Results reveal that RFI was shown beneficial correlations with economically relevant self-performance traits. Further investigations are needed to seek additional indicator traits that are predictive for RFI.

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Genetic parameters and correlations of related feed efficiency, growth, and carcass traits in Hanwoo beef cattle

Cited by 11 publications

References 29 publications

Main regulatory factors of marbling level in beef cattle

Main regulatory factors of marbling level in beef cattle

Genetic variation and parameters for growth and feed efficiency traits in Boran beef cattle in Kenya

Individual Feed Efficiency Monitoring of Charolaise Candidate Young Bulls in Relation to Feeding Behavior and Self-Performance Test Results

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