Genetic relationship between different measures of feed efficiency and its component traits in Japanese Black (Wagyu) bulls

Hoque, M. A.; Arthur, P. F.; Hiramoto, K.; Oikawa, Takuro

doi:10.1016/j.livprodsci.2005.06.004

Cited by 42 publications

(45 citation statements)

References 15 publications

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“…The moderate heritability estimates in the present study for the nonreproduction traits agree within international estimates for live weight (Koots et al, 1994;Phocas and Sapa, 2004), carcass traits (Koots et al, 1994;Marshall, 1994;Hoque et al, 2006), and type traits (Koots et al, 1994;Gutiérrez et al, 2002;Bouquet et al, 2010) and have been discussed in detail elsewhere for Irish cattle (McHugh et al, 2010Pabiou et al, 2011) using data similar to that used in the present study.…”

Section: Population Statistics and Heritability Estimatessupporting

confidence: 88%

Genetics of reproductive performance in seasonal calving beef cows and its association with performance traits

Berry

Evans²

2014

Journal of Animal Science

100

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Due primarily to a lack of phenotypic data, little research has been undertaken on the genetics of reproductive performance in beef cattle. The objective of this study was to quantify, using data from the Irish national cattle herd, the contribution of additive genetics to phenotypic differences in reproductive performance in beef cattle and to investigate whether routinely available early predictors of genetic merit for reproductive performance exist. Up to 218,718 parity records from 156,506 animals were used to estimate variance components for a range of reproductive traits using repeatability animal linear mixed models. Covariances with performance traits were estimated using bivariate sire linear mixed models. The reproductive traits were age at first calving, calving in the first 42 d of the calving seasons (defined separately in heifers and cows), calving interval between consecutive calving events, and survival to the next lactation. Performance traits included calving dystocia, linear type traits describing the skeletal, muscular, and functional characteristics of an animal, live weight and price, carcass traits, and producer subjectively scored traits of weanling quality and docility. Heritability for age at first calving was 0.31 while the heritability of the remaining reproductive traits ranged from 0.01 to 0.06; repeatability estimates varied from 0.02 to 0.06. Increased muscularity, measured either by trained assessors or producers on live animals, or by mechanical grading machines on slaughtered animals (i.e., carcass conformation), was genetically correlated with reduced reproductive performance for some of the reproductive variables assessed. This is one of the largest studies undertaken on the genetics of reproduction in beef herds and clearly shows that genetic selection for improved reproductive performance in beef herds is feasible. However, breeding goals that select for muscularity and live weight or growth rate should be cognizant of indirect response to selection that may cause any deterioration in reproductive performance.

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Section: Population Statistics and Heritability Estimatessupporting

confidence: 88%

Genetics of reproductive performance in seasonal calving beef cows and its association with performance traits

Berry

Evans²

2014

Journal of Animal Science

100

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“…2858 at farm and field (Table 2 and (Table 3) for field progeny of the present study. Hoque et al (2006) estimated an ADG of 1.23±0.01 g/d for Japanese Black cattle was immensely higher than that found for both of farm and field progeny in present investigation.…”

Section: Heritability and Genetic Correlationscontrasting

confidence: 81%

“…It might be beneficial to estimate effect of reducing extra feed intake of bull on progeny growth performances which will be helpful to take decision in breeding program. Residual feed intake (RFI) is receiving greater attention as the preferred feed efficiency measure due to its favorable or negligible phenotypic and genetic relationships with feed intake, daily gain, FCR, and body weight (Arthur et al 2001a,b;Hoque et al 2006;Ahola et al 2007). The RFI analysis among cattle is defined as the difference between the actual feed intake and the expected feed intake of each animal was first proposed as an alternative measure of feed efficiency by Koch et al (1963).…”

Section: Introductionmentioning

confidence: 99%

Estimation of effect of breeding bulls and genetic parameters on early growth performance of calves at farm and field levels

Islam

Hoque

Khandoker

et al. 2013

Bang. J. Anim. Sci.

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The present study was conducted using records on four breeding bulls maintained at the Artificial Insemination (AI) Center of Bangladesh Agricultural University (BAU), Mymensingh and on 154 of their progeny maintained at BAU Dairy Farm (112) and some villages (42 progeny) adjacent to BAU for estimating the effect of breeding bulls and genetic parameters on early growth performance of the progeny at farm and field levels. Genetic correlations between traits of bulls and their progeny were also estimated. Bull traits were metabolic body weight (MWT), feed intake (FI) and residual feed intake (RFI) where progeny traits were birth weight (BWT), final body weight (FWT) at 90 days of age and average daily gain (ADG). Mean BWT of progeny at farm and field level was 16.34±1.85 to 17.62±1.97 kg and 13.89±2.78 to 16.11±2.98 kg, respectively. The FWT at farm progeny was 48.9±2.87 to 55.67±2.14 kg whereas 43.43±2.50 to 52.22±3.34 kg for field progeny. The ADG at farm and field progeny was 0.36±0.03 to 0.43±0.01 and 0.32±0.03 to 0.42±0.03 kg, respectively. The BWT and FWT of farm progeny were significantly (p>0.05) higher than the progeny of field level. Breeding bulls had significant (p<0.05) effect on FWT and ADG for both of the farm and field progeny. Estimated heritability was found to be moderate in case of BWT (0.32±0.19), but low for FWT (0.26±0.18) and ADG (0.29±0.20) for pooled average. The genetic correlation between bulls' MWT and BWT was high (rg=0.54±0.17), but low with FWT (rg=0.26±0.18) and ADG (rg=0.28±0.23). Moderate in daily FI of bulls was genetically correlated with BWT (0.45±0.22), FWT (0.38±0.24) and ADG (0.35±0.25) for their progeny, while low but favorable negative genetic correlation (rg=-0.13±0.17) was observed between ADG of progeny and RFI of bulls. The negative correlation for RFI with ADG suggested that selection might result in better success in improving herd production efficiency without compromising progeny growth performance.

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“…Residual feed intake is correlated with FCR, with reported genetic correlation coefficients ranging from 0.45 to 0.85. This implies that genetic improvement in RFI will result in a correlated improvement in FCR (Arthur et al, 2001a,b;Schenkel et al, 2004;Robinson & Oddy, 2004;Hoque et al, 2006a;Nkrumah et al, 2007a). As expected, there is a positive correlation between RFI and feed intake indicating that more efficient (with low RFI) cattle consume less feed.…”

Section: Genetic Parametersmentioning

confidence: 79%

Residual feed intake in beef cattle

2008

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-Providing feed is a major input cost in beef production, hence improvements in the efficiency of feed utilisation will reduce the cost of production. Residual feed intake (RFI) is a measure of feed efficiency, and is defined as the difference between an animal's actual feed intake and its expected feed intake based on its size and growth. It is independent of the level of production, and the lower the value the more efficient the animal is. This paper examines the current state of knowledge on RFI. Available information indicates that postweaning RFI is moderately heritable, and that selection for low RFI will result in progeny that consume less feed for the same level of production as progeny of high RFI cattle. Under ad libitum feeding, RFI is phenotypically independent of growth traits. There is a weak genetic relationship between RFI and fatness but additional studies are needed to assess the magnitude of this relationship in different breeds, sexes, ages and feeding regimes. Residual feed intake is believed to represent inherent variation in basic metabolic processes which determine efficiency. Economic analyses of genetic improvement schemes that incorporate testing of individuals for RFI have yielded substantial economic benefits over and above existing schemes that do not include RFI testing. Selection for low RFI has an additional benefit of reducing greenhouse gas emissions by cattle.

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Genetic relationship between different measures of feed efficiency and its component traits in Japanese Black (Wagyu) bulls

Cited by 42 publications

References 15 publications

Genetics of reproductive performance in seasonal calving beef cows and its association with performance traits

Genetics of reproductive performance in seasonal calving beef cows and its association with performance traits

Estimation of effect of breeding bulls and genetic parameters on early growth performance of calves at farm and field levels

Residual feed intake in beef cattle

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