Skip to main content
Cambridge Open Access logoLink to Cambridge Open Access
. 2020 Jan 7;14(5):899–909. doi: 10.1017/S1751731119002908

Genetic analyses of live weight and carcass composition traits in purebred Texel, Suffolk and Charollais lambs

S Fitzmaurice 1,2,, J Conington 1, N Fetherstone 2, T Pabiou 3, K McDermott 3, E Wall 3, G Banos 1, N McHugh 2
PMCID: PMC7163395  PMID: 31907100

Abstract

Lamb live weight is one of the key drivers of profitability on sheep farms. Previous studies in Ireland have estimated genetic parameters for live weight and carcass composition traits using a multi-breed population rather than on an individual breed basis. The objective of the present study was to undertake genetic analyses of three lamb live weight and two carcass composition traits pertaining to purebred Texel, Suffolk and Charollais lambs born in the Republic of Ireland between 2010 and 2017, inclusive. Traits (with lamb age range in parenthesis) considered in the analyses were: pre-weaning weight (20 to 65 days), weaning weight (66 to 120 days), post-weaning weight (121 to 180 days), muscle depth (121 to 180 days) and fat depth (121 to 180 days). After data edits, 137 402 records from 50 372 lambs across 416 flocks were analysed. Variance components were derived using animal linear mixed models separately for each breed. Fixed effects included for all traits were contemporary group, age at first lambing of the dam, parity of the dam, a gender by age of the lamb interaction and a birth type by rearing type of the lamb interaction. Random effects investigated in the pre-weaning and weaning weight analyses included animal direct additive genetic, dam maternal genetic, litter common environment, dam permanent environment and residual variances. The model of analysis for post-weaning, muscle and fat depth included an animal direct additive genetic and litter common environment effect only. Significant direct additive genetic variation existed in all cases. Direct heritability for pre-weaning weight ranged from 0.14 to 0.30 across the three breeds. Weaning weight had a direct heritability ranging from 0.17 to 0.27 and post-weaning weight had a direct heritability ranging from 0.15 to 0.27. Muscle and fat depth heritability estimates ranged from 0.21 to 0.31 and 0.15 to 0.20, respectively. Positive direct correlations were evident for all traits. Results revealed ample genetic variation among animals for the studied traits and significant differences between breeds to suggest that genetic evaluations could be conducted on a per-breed basis.

Keywords: sheep, Ireland, parameters, growth, muscle

Implications

This study demonstrated the existence of genetic variation between different breeds of sheep for the three main live weight and two carcass composition traits in the Irish sheep production system suggesting that genetic evaluations should be conducted on a per-breed basis. This would allow for more informed and accurate selection decisions on farm, resulting in superior productivity and profitability within Irish sheep flocks.

Introduction

Lamb live weight and the rate at which the animal grows have been defined as the key drivers of profitability in Irish (Byrne et al., 2010) and international (Cocks et al., 2002; Conington et al., 2004; Jones et al., 2004a) sheep production systems. In Ireland, for example, each additional day a lamb requires to reach its target slaughter weight results in an economic loss of €1.41 per lamb per day (Byrne et al., 2010). In addition to the live weight traits, carcass composition also has an impact on the profitability of sheep production systems with an increase of one point, on the EUROP scale for muscle depth leading to an economic gain of €0.35 per lamb and an increase of one point on the fat scale leading to an economic loss of −€0.52 per lamb (Byrne et al., 2010). Lamb live weight, weight gain and carcass composition have been shown to vary greatly not only across the various stages of a lambs’ growth period, such as pre- and post-weaning (Leymaster and Jenkins, 1993; Djemali et al., 1994; Leeds et al., 2012) but also across a plethora of breeds, including meat (Osorio-Avalos et al., 2012), wool (Safari et al., 2007) and dual purpose (Dixit et al., 2001) breeds.

Previous research has shown considerable variability across both pre- and post-weaning lamb growth rates not only at a phenotypic level (Dixit et al., 2001) but also at a genetic level (Safari et al., 2005; Thiruvenkadan et al., 2011), with heritabilities for lamb live weight at different ages ranging from 0.15 to 0.41 (Safari et al., 2005). Such studies, however, have tended to focus on small sample sizes, which may not accurately represent the whole sheep population. Furthermore, although some studies have shown that genetic variability exists among breeds (Freking and Leymaster, 2004; Osorio-Avalos et al., 2012), genetic parameters and sheep genetic evaluations in Ireland to date have been developed within a multi-breed population context (Pabiou et al., 2014), and heretofore the genetic variation within individual breeds has not been considered.

The objective of the present study, therefore, was to estimate genetic parameters and breeding values for a range of lamb live weight and carcass composition traits within three breeds commonly recorded in Ireland namely Texel, Suffolk and Charollais. Results from the present study would determine differences between breeds in the genetic evaluations of sheep in Ireland.

Material and methods

Data

A full database was extracted across three breeds, namely Texel, Suffolk and Charollais, from Sheep Ireland, the Irish national database (http://www.sheep.ie). Records pertaining to years 2010 to 2017, inclusive, were retained for analyses. Only purebred lambs (as defined by the data records) of the three aforementioned breeds (i.e., Texel, Suffolk and Charollais) were considered in the present study.

In Ireland, lamb live weights are recorded at three time points post-lambing by Irish producers using weigh scales: pre-weaning, at weaning and post-weaning, the latter coinciding with muscle and fat ultrasound scanning. Based on the editing criteria used for the national genetic evaluations, pre-weaning weight was defined as live weight taken between 20 and 65 days of age; only records of lambs weighing between 12.00 and 32.00 kg were retained in the present study. Weaning weight was defined as the live weight recorded between 66 and 120 days of age and weighing between 20.00 and 55.00 kg. Post-weaning weight was defined as live weight measured between 121 and 180 days of age; only lambs with live weight records between 25.00 and 75.00 kg were considered for further analysis. Across all live weight measurements, average daily gain was calculated for each lamb with a known birth and weigh date at either of the three weight points; only average daily gains between 100 and 650 g/d were retained for each live weight measurement (261 lambs with an erroneous average daily gain were omitted from subsequent analyses). Muscle and fat depth traits were recorded on the same day as post-weaning weight in all lambs. Only muscle depth measurements within the range of 10 to 44 mm and fat depth measurements ranging within 1 to 23 mm were retained.

Live weight and carcass composition measurement records were discarded if flock of birth, sire, dam or maternal grandsire were unknown. Dams with no known parity number or a parity number >10 were discarded; parity number was subsequently categorised as 1, 2, 3, 4 or ≥ 5. Age at first lambing was defined based on the age of the ewe at first lambing; ewes were either defined as lambing for the first time as ewe lambs (between 8 and 18 months of age) or those that lambed for the first time as hoggets (between ≥18 and 28 months of age). Birth type was defined as the number of lambs born per lambing event; only birth types between 1 (singles) and 4 (quadruplets) were retained. Rearing type was defined as the number of lambs reared per litter; only rearing type between 1 and 3 were retained for analysis. Lambs that were recorded as artificially reared or reared by a non-genetic dam were not included for further analysis.

For all traits, each lamb was allocated to a contemporary group of breed-by-flock-by-week of weighing. Only contemporary groups containing at least five records were retained for analysis. Following all edits described above, 33 721 pre-weaning weight records, 32 623 weaning weight records, 28 140 post-weaning weight records, 21 468 muscle depth records and 21 442 fat depth records were retained for genetic analysis; the breakdown of records per breed is shown in Table 1.

Table 1.

Number of lambs (n), trait mean (µ), SD, CV, corresponding mean lamb age, and number of sires, dams, maternal grandsires (MGS), flocks and contemporary groups (CGs) by trait and breed

Trait (units of measurement) Breed n µ (SD) Age CV (%) Sires Dams MGS Flocks CGs
Pre-weaning weight (kg) Texel 11 891 20.86 (4.70) 46.59 22.53 804 5359 1093 162 480
Suffolk 8783 22.32 (4.85) 45.12 21.73 541 3816 759 110 329
Charollais 13 047 20.58 (4.58) 46.20 22.25 602 4965 919 139 456
Weaning weight (kg) Texel 12 388 36.69 (7.63) 96.92 20.80 847 5688 1176 161 508
Suffolk 7839 40.93 (7.87) 96.31 19.23 542 3625 774 107 308
Charollais 12 396 37.09 (7.40) 96.65 19.95 607 4820 913 139 449
Post-weaning weight (kg) Texel 12 074 48.70 (9.47) 144.76 19.45 847 5746 1179 161 422
Suffolk 6819 56.42 (10.79) 147.24 19.12 508 3411 753 96 281
Charollais 9247 51.92 (9.91) 148.99 19.09 567 4106 844 129 354
Muscle depth (mm) Texel 8810 32.59 (4.09) 146.57 12.55 662 4259 916 108 280
Suffolk 5589 34.11 (5.01) 151.28 14.69 402 2792 621 69 204
Charollais 7094 33.23 (3.97) 151.81 11.95 455 3344 714 96 252
Fat depth (mm) Texel 8782 6.10 (2.70) 146.63 44.26 661 4250 916 108 281
Suffolk 5556 8.50 (4.00) 151.42 47.06 399 2784 618 69 205
Charollais 7087 8.10 (3.80) 151.82 46.91 455 3346 712 97 253

Genetic analysis

Variance components were estimated for each lamb live weight trait (i.e., pre-weaning, weaning and post-weaning weights) and each carcass composition trait (i.e., muscle depth and fat depth) using linear mixed animal models in ASReml (Gilmour et al., 2009) separately for each breed. The model employed was:

graphic file with name S1751731119002908_eqnu1.jpg

where Y = lamb live weight or carcass composition record, CG = contemporary group, AFL = age at first lambing of the dam, Parity = parity of the dam, Gender*Age = the interaction between the gender and age of the lamb, Birth type*Rearing type = the interaction between the birth type and rearing type of the lamb, Animal = random animal direct additive genetic effect, Dam = random maternal genetic effect, DamPE = random dam permanent environmental effect associated with multiple lambing records of the same dam, Litter = common environmental effect reflecting the non-genetic covariance among members of the same litter and e = random residual effect.

Each model was progressively built up from including just a residual effect to include a direct genetic, maternal genetic, dam permanent environmental and litter common environmental effect. In the case of post-weaning weight, muscle and fat depth, the model included a direct genetic and a litter common environmental effect only as there was no significant dam effect. A log-likelihood ratio test was used to determine if the additional random terms improved the fit of the data (Ferreira et al., 1999). While the maternal genetic and dam permanent environmental effect were not always significant, these effects were kept in the model as the log-likelihood ratio test suggested it was the model of best fit.

Direct heritability was calculated as the ratio of the direct additive genetic variance to the observed total phenotypic variance. Maternal heritability was estimated as the ratio of the maternal genetic variance to the total phenotypic variance. Common environmental effect was calculated as the ratio of the litter variance to the total phenotypic variance. Dam repeatability was calculated as the ratio of maternal genetic variance plus permanent environment to the total phenotypic variance. The correlation between the direct additive and maternal genetic effects was also estimated where applicable. Genetic correlations between the studied traits were estimated pairwise using the model previously described in a series of bivariate analyses. Estimated breeding values (EBVs) were calculated for each trait and genetic trends were produced from these results by estimating the slope of the average ram EBV per year of birth. Genetic trends were only produced for sires with at least 10 progeny and ranged from 3 to 61 sires per year across all traits and breeds.

Results

Phenotypic values and data structure

Edited data used in the genetic analyses are shown in Table 1. The Suffolk breed proved to be the heaviest at all three live weight measurements although they were slightly younger at both pre-weaning and weaning weights. The Suffolk breed also had the highest muscle and fat depth among the three breeds studied although this may be attributed partly to the higher weight at scanning. Overall, the Texel breed had the highest number of records across all five traits and they also had the highest number of flocks. Judging on the CV, the greatest variability was observed in fat depth and the least variability was observed for muscle depth, and this was true across all breeds.

Genetic parameters

Variance components were estimated (Table 2 and heritability estimates were subsequently derived for each trait and breed. All estimates of genetic SD and direct heritability were statistically greater than zero (P < 0.05) as shown in Table 3. All traits studied apart from pre-weaning weight were most heritable in the Texel breed. Pre-weaning weight was most heritable in the Suffolk breed. Maternal heritability was significantly greater than zero for all weight traits in the Texel breed, pre-weaning weight in Suffolks and weaning weight in Charollais. The litter common environmental effect accounted for the majority of the total phenotypic variance for most live weight traits and a significant proportion for the carcass composition traits.

Table 2.

Lamb direct genetic variance (Inline graphic), maternal genetic variance (Inline graphic), variance due to common environmental effect (Cm) and variance due to maternal repeatability (PEm) per trait and breed; model of analyses of post-weaning weight, muscle and fat depth did not include a maternal effect

Breed Inline graphic (SE) Inline graphic (SE) Cm (SE) PEm (SE)
Pre-weaning weight Texel 1.57 (0.27)* 0.58 (0.18)* 2.98 (0.19)* 0.57 (0.19)*
Suffolk 2.44 (0.40)* 0.56 (0.22)* 3.39 (0.24)* 0.12 (0.23)
Charollais 1.39 (0.25)* 0.20 (0.13) 3.54 (0.18)* 0.06 (0.16)
Wean weight Texel 6.89 (0.81)* 0.98 (0.39)* 6.55 (0.48)* 0.43 (0.43)
Suffolk 4.79 (1.03)* 0.84 (0.55) 7.85 (0.73)* 0.26 (0.64)
Charollais 5.77 (0.79)* 0.87 (0.39)* 6.01 (0.45)* 0.18 (0.41)
Post-weaning weight Texel 11.94 (1.10)* 8.99 (0.62)*
Suffolk 7.42 (1.48)* 11.55 (1.09)*
Charollais 6.79 (1.03)* 8.73 (0.74)*
Muscle depth Texel 2.76 (0.28)* 1.39 (0.18)*
Suffolk 2.05 (0.35)* 1.48 (0.26)*
Charollais 1.70 (0.25)* 1.51 (0.18)*
Fat depth Texel 0.01 (0.00)* 0.01 (0.00)*
Suffolk 0.01 (0.00)* 0.02 (0.00)*
Charollais 0.01 (0.00)* 0.01 (0.00)*

SE = standard error of estimate.

*

Estimates significantly different (P < 0.05) from zero.

Table 3.

Lamb direct heritability (Inline graphic), maternal heritability (Inline graphic), proportion of phenotypic variance due to the common environmental effect (C2m), maternal repeatability (Rm), and the correlation between direct and maternal genetic effects (CORR d/m) per trait and breed; model of analyses of post-weaning weight, muscle and fat depth did not include a maternal effect

Breed h2d (SE) h2m (SE) C2m (SE) Rm (SE) CORR d/m (SE)
Pre-weaning weight Texel 0.16 (0.03)* 0.06 (0.02)* 0.30 (0.02)* 0.12 (0.02)* −0.65 (0.07)*
Suffolk 0.22 (0.03)* 0.05 (0.02)* 0.31 (0.02)* 0.06 (0.02)* −0.77 (0.06)*
Charollais 0.14 (0.02)* 0.02 (0.01) 0.35 (0.02)* 0.03 (0.01) −0.84 (0.05)*
Wean weight Texel 0.27 (0.03)* 0.04 (0.02)* 0.26 (0.02)* 0.06 (0.02)* −0.61 (0.07)*
Suffolk 0.17 (0.03)* 0.03 (0.02) 0.27 (0.02)* 0.04 (0.02) −0.68 (0.09)*
Charollais 0.23 (0.03)* 0.03 (0.02)* 0.24 (0.02)* 0.04 (0.01) * −0.71 (0.06)*
Post-weaning weight Texel 0.32 (0.03)* 0.24 (0.02)*
Suffolk 0.16 (0.03)* 0.25 (0.02)*
Charollais 0.18 (0.03)* 0.23 (0.02)*
Muscle depth Texel 0.31 (0.03)* 0.16 (0.02)*
Suffolk 0.21 (0.03)* 0.15 (0.03)*
Charollais 0.21 (0.03)* 0.19 (0.02)*
Fat depth Texel 0.20 (0.03)* 0.20 (0.02)*
Suffolk 0.15 (0.03)* 0.17 (0.03)*
Charollais 0.17 (0.03)* 0.17 (0.02)*

SE = standard error of estimate.

*

Estimates significantly different (P < 0.05) from zero.

Negative correlations were estimated between direct additive and maternal genetic effects within trait for all breeds (Table 3). This is an antagonistic correlation suggesting that animals with genetically superior direct additive genetic effect are expected to be maternally inferior. Significant (P < 0.05) positive genetic correlations between the direct additive genetic effects on pre-weaning and subsequent weights for each of the three breeds were calculated (Table 4). Direct genetic correlations between live weight traits and the two carcass composition traits were also strongly positive reaching a maximum of 0.72 (±0.04) between weaning weight and muscle depth for the Texel breed (Table 4).

Table 4.

Lamb genetic correlations (standard error in parentheses) between the direct additive genetic effects for each trait (below the diagonal) and the maternal genetic effects for each trait (above the diagonal) by breed; model of analyses of post-weaning weight, muscle and fat depth did not include a maternal effect

Trait Pre-weaning Weaning Post-weaning Muscle depth
Texel Pre-weaning 0.95 (0.03)*
Weaning 0.76 (0.04)*
Post-weaning 0.65 (0.07)* 0.94 (0.02)*
Muscle depth 0.57 (0.06)* 0.72 (0.04)* 0.69 (0.03)*
Fat depth 0.31 (0.08)* 0.49 (0.07)* 0.45 (0.06)* 0.42 (0.06)*
Suffolk Pre-weaning 0.80 (0.06)*
Weaning 0.61 (0.09)*
Post-weaning 0.76 (0.08)* 0.77 (0.07)*
Muscle depth 0.41 (0.09)* 0.23 (0.15) 0.61 (0.07)*
Fat depth 0.36 (0.11)* 0.27 (0.16) 0.29 (0.12)* 0.48 (0.09)*
Charollais Pre-weaning 0.97 (0.04)*
Weaning 0.55 (0.07)*
Post-weaning 0.63 (0.07)* 0.90 (0.04)*
Muscle depth 0.51 (0.08)* 0.63 (0.07)* 0.54 (0.06)*
Fat depth 0.18 (0.10) 0.27 (0.10)* 0.26 (0.09)* 0.41 (0.08)*
*

Estimates significantly different (P < 0.05) from zero.

Genetic trends

Genetic trends based on EBVs of rams with ≥10 progeny (Figure 1) indicate that positive genetic gain is occurring in all live weight traits. Significant (P < 0.05) trends were observed for all live weight traits in the Texel breed, pre-weaning weight in the Suffolk breed and weaning weight in the Charollais breed. Muscle depth had a strong positive significant trend for all breeds, while fat depth had weakly positive significant trends for both the Suffolk and Charollais breeds. There was considerable variation in genetic trends estimated for the same trait among the three studied breeds with higher rates of genetic gain being achieved in the Texel breed for live weight traits and muscle depth in comparison to the other two breeds.

Figure 1.

Figure 1

Significantly different from zero (P < 0.05) genetic trends of estimated breeding values of rams (standard errors shown in error bars) for (a) pre-weaning weight, (b) weaning weight (c) post-weaning weight (d) muscle depth and (e) fat depth.

Discussion

Live weight measurements on lambs are among the key performance indicators in profitable sheep production systems. To date, most genetic studies undertaken in Ireland have tended to estimate genetic parameters for lamb live weight and carcass composition traits simultaneously across a range of breeds rather than investigating on an individual breed basis. Therefore, in the present study, we investigated if estimates of genetic parameters and breeding values differed between breeds within the Irish sheep population when the breeds were evaluated on a within-breed basis. Results showed significant differences in additive genetic variance and direct heritability of each trait between the Texel, Suffolk and Charollais breeds, warranting within-breed genetic analyses.

Phenotypic values

In comparison to previous studies conducted on an Irish sheep population, lamb live weight in the present study was greater for all three live weight traits examined. Previously pre-weaning, weaning and post-weaning weights in Irish purebred lambs were shown to be 19.64, 33.00 and 48.00 kg, respectively (McHugh et al., 2016; McHugh et al., 2017 ). The increased live weight observed in the current study may be attributed to the fact that only terminal purebred lambs were examined, whereas maternal and cross-bred lambs had been also included in the previous studies. The carcass composition traits in the present study showed similar results to those previously reported in the literature for purebred Irish lambs. An earlier study conducted in Ireland (O’Brien et al., 2016) showed a mean of 33.21and 7.55 mm for muscle and fat depth traits, respectively. The first study carried out in the UK on live weight and carcass composition traits in terminal sire sheep was reported by Simm and Dingwall (1989) from which selection indices for terminal sire breeds were implemented in practice for the UK sheep industry and responses to selection reported. Jones et al. (2004b) reported similar findings to the present study for post-weaning weight, muscle depth and fat depth traits for the three breeds studied in terms of breed ranking; however, fat depth proved to be considerably higher in the present study. Other studies have been reported for cross-bred and hill lambs (Merrell et al., 1990; Conington et al., 2004). Again these findings were very similar to the present study for the post-weaning weight and muscle depth values; however, fat depth proved to be higher for all breeds in the present study although the ranking of the breeds remained the same. Merrell et al. (1990) reported weight at slaughter for Suffolk, Texel and Charollais cross-bred lambs in the UK, which was recorded at a similar age to post-weaning weight in the present study, ranging from 39.50 kg (Texel) to 41.10 kg (Suffolk). Although these lambs were lighter than those in the present study, the ranking of breeds was similar with the Suffolk breed having the highest live weight and the Texel breed having the lowest post-weaning live weight. Throughout the rest of the world, many studies have recorded live weight in lambs at different time points; however, few of these studies have focused on the breeds investigated in the current study (Safari and Fogarty, 2003), although Shrestha et al. (1985) reported similar findings for pre-weaning and weaning weights in Canadian Suffolks. Furthermore, a US study of Texel- and Suffolk-sired cross-bred lambs (Leymaster and Jenkins, 1993) showed similar live weight results to the present study with the Suffolk breed proving to be the heaviest at both weaning and post-weaning weights in comparison to the Texel breed. One contrast observed in Leymaster and Jenkins’ (1993) study compared to the present study was that the Suffolk and Texel breeds were recorded to have the same mean weight for pre-weaning weight, whereas in the present study the Suffolk is considerably heavier for all live weights; however, this may be attributed to the multiple-rearing environment having a greater effect on the growth potential of the Suffolk lambs over the Texel lambs.

Many of the studies on carcass composition previously conducted are not comparable to the present study due to different methods used and time points of measurement (Safari and Fogarty, 2003). Many of these studies tended to measure both muscle and fat depth at a later time point with the majority measured when the lamb is between 7 and 16 months of age (Safari and Fogarty, 2003). However, one study conducted by Jones et al. (2004b) showed very similar results to the present study with the Suffolk breed having the highest muscle and fat depth and the Texel breed having the lowest fat depth out of the three studied breeds.

Genetic parameters

Direct and maternal heritability estimates reported in the present study for live weight and carcass composition traits are all within the ranges previously reported in the literature. Within the present study with the exception of pre-weaning weight and fat depth, direct heritability differed substantially among breeds for all traits analysed with most variability observed in the post-weaning weight trait where direct heritability ranged from 0.16 (Suffolk) to 0.32 (Texel). Genetic parameter estimates have not previously been reported in Ireland on a per-breed basis. One previous study reported genetic parameter estimates within a multi-breed analysis (McHugh et al., 2017) including a heritability estimate for pre-weaning weight in Irish lambs of 0.09, which is lower than all pre-weaning weight estimates in the present study. This may be attributed to the differences between the breeds lowering the heritability in the previous study in comparison to the present study, which was conducted on genetically more homogeneous purebred populations. Higher accuracy of EBVs would also be expected in within-breed genetic evaluations as a result of increased direct heritability estimates. Maternal heritability estimates were low for all three live weight traits measured and were not significant for the two carcass composition traits. These results contrast significantly with the study on pre-weaning weight by McHugh et al. (2017) where a maternal heritability of 0.25 was reported in a multi-breed Irish sheep population. This difference may, however, be due to different models used in the analysis as much of the variation in the present study was due to the common environmental effect, which was not included in the study of McHugh et al. (2017). In the UK, previous studies have estimated genetic parameters for the Suffolk breed for all traits analysed in the present study (Maniatis and Pollott, 2002a and 2002b; Simm et al., 2002) and results were generally similar. Simm et al. (2002) suggested that direct heritability estimates would increase with lamb age due to the lessening maternal influence and increased direct influence. This was indeed the case in the present study for Texel and Charollais breeds. For the Suffolk breed, however, the opposite was true as direct heritability decreased from 0.22 (pre-weaning) to 0.16 (post-weaning) while maternal heritability also decreased.

The strong positive direct genetic correlations among the three live weight traits were as expected, indicating that lambs that are genetically heavier early in life are also more likely to be genetically heavier later on. While these figures corresponded well with the literature, some of the estimates in the present study were outside the ranges previously reported with weaker correlations observed in the present study compared to those previously reported (Safari and Fogarty, 2003). This, however, may be due to the fact that few studies estimated genetic correlations between live weight traits at the specific times that were reported in the present study and may also be due to many of the previous studies being based in Australia or Asia where the studied breeds being differ greatly to those in the current study (Safari and Fogarty, 2003). Many of these studies also tended to have a far greater age spread between weight ages than those reported in the present study. No previous studies have investigated at genetic correlations among growth traits for the Texel or Charollais breeds, individually. However, there was one UK study by Simm et al. (2002) that showed the direct and maternal genetic correlations between pre-weaning and post-weaning weight for the Suffolk breed to be 0.69 and 0.86, respectively. These results were broadly in the range of those reported in the present study, although stronger maternal genetic correlations between the traits were recorded in the present study. The difference between the previous study and the present study may be attributed to the fact that the previous study (Simm et al., 2002) was based on one flock only, whereas the present study includes the entire recorded population.

As with the live weight traits, strong positive correlations were also seen among the two carcass composition traits and post-weaning weight. Very few previous studies have estimated correlations among these traits at the similar time points to the present study; however, the direct correlations estimated here are broadly within the range previously reported (Atkins et al., 1991; Simm et al., 2002; Ingham et al., 2003). These strong positive correlations indicate that by breeding for heavier lambs, we are also breeding for more muscular but also fatter lambs. The former is desirable but the latter undesirable. Although these traits are antagonistic, we need to aim to select for animals that are more muscular and less fat while still achieving live weight targets in order to maximise genetic gain and profitability. Appropriate selection indices need to be developed for this matter, optimally combining live weight and carcass traits.

For pre-weaning and weaning weight, a negative correlation was observed between the direct additive and maternal genetic effects. Although this corresponded with the majority of the literature for growth and live weight traits (Notter, 1998; Safari and Fogarty, 2003; Maxa et al., 2007), previous studies have reported very mixed results with some positive correlations appearing also between live weight traits (Tosh and Kemp, 1994; Nasholm and Danell, 1996; Snyman et al., 1996; Yazdi et al., 1997; Rao and Notter, 2000). This variation of results previously reported in the literature may be indicative of differences in data structure but may also be due to breed differences (Maniatis and Pollott, 2002a). The antagonistic correlation reported between direct and maternal effects in the present study suggests that by selecting rams to breed heavier lambs, their daughters will have lighter lambs. In order to counteract this, optimal combination of antagonistic traits in a properly developed selection index is needed to support selection decisions.

Genetic trends

To our knowledge, this is the first time genetic trends on Irish sheep are reported for the studied traits. Genetic trends varied between the three breeds for all traits in the present study. From the genetic trends, the Texel breed appears to be achieving the most genetic gain as significantly positive trends were recorded for all live weight traits as well as the muscle depth trait. No significant trend was found for fat depth in the Texels, indicating that this trait is remaining relatively static which is more desirable than the increasing trend observed for the Suffolk and Charollais breeds. The muscle depth trait showed a positive trend for all three breeds. These results are indicative of the ongoing genetic selection programme in Ireland based on the emphasis that is being placed on muscle depth for all breeds as well as the increase in genetic gain in live weight that has been seen in all three breeds.

Conclusion

Variance components and genetic parameters derived in the present study for five live weight and carcass traits may be used to support the breeding programme of sheep in Ireland. Considerable differences in genetic analysis results were found between the Texel, Suffolk and Charollais breeds for each of the five traits examined in the present study. Differences were observed in both heritability and genetic correlation estimates suggesting that current genetic improvement systems may benefit by considering these breeds separately in future genetic evaluations.

Acknowledgements

This study has been funded under the Teagasc Walsh Fellowship Scheme (REF 2016140) and the Horizon2020 SMARTER (REF 772787-2) project. Preliminary results from the present study have previously been published in abstract form (Fitzmaurice et al., 2019).

S. Fitzmaurice 0000-0001-5926-966X

Declaration of interest

Authors declare no conflict of interest.

Ethics statement

Ethics committee approval was not obtained for the present study as the data were obtained from an existing database provided by Sheep Ireland.

Software and data repository resources

None of the data were deposited in an official repository.

References

  1. Atkins KD, Murray JI, Gilmour AR and Luff AL 1991. Genetic variation in liveweight and ultrasonic fat depth in Australian Poll Dorset sheep. Australian Journal of Agricultural Research 42, 629–640. [Google Scholar]
  2. Byrne TJ, Amer PR, Fennessy PF, Cromie AR, Keady TWJ, Hanrahan JP, McHugh MP and Wickham BW 2010. Breeding objectives for sheep in Ireland: a bio-economic approach. Livestock Science 132, 135–144. [Google Scholar]
  3. Cocks A, Williams M, Casey M, Brown C, Ware J, Morrison N, Morrison G, Pearce G, Taylor W, Cochrane G, Cochrane J and Harris T 2002. Farmers adopting technology to improve sheep production – a nine year study. Proceedings of the New Zealand Grassland Association 64, 49–53. [Google Scholar]
  4. Conington J, Bishop SC, Waterhouse A and Simm G 2004. A bioeconomic approach to derive economic values for pasture-based sheep genetic improvement programs. Journal of Animal Science 82, 1290–1304. [DOI] [PubMed] [Google Scholar]
  5. Dixit SP, Dhillon JS and Singh G 2001. Genetic and non-genetic parameter estimates for growth traits of Bharat Merino lambs. Small Ruminant Research 42, 101–104. [Google Scholar]
  6. Djemali M, Aloulou R and Ben Sassi M, 1994. Adjustment factors and genetic and phenotypic parameters for growth traits of Barbarine lambs in Tunisia. Small Ruminant Research 13, 41–47. [Google Scholar]
  7. Ferreira GB, MacNeil MD and Van Vleck LD 1999. Variance components and breeding values for growth traits from different statistical models. Journal of Animal Science 77, 2641–2650. [DOI] [PubMed] [Google Scholar]
  8. Fitzmaurice S, Conington J, Fetherstone N, Pabiou T, McDermott K, Wall E, Banos G and McHugh N 2019. Genetic parameters for live weight traits in purebred Irish Texel, Suffolk and Charollais lambs. In Proceedings of the 75th Annual Conference of the British Society of Animal Science, 9–11 April 2019, Edinburgh.
  9. Freking BA and Leymaster KA 2004. Evaluation of Dorset, Finnsheep, Romanov, Texel, and Montadale breeds of sheep: IV. Survival, growth, and carcass traits of F1 lambs. Journal of Animal Science 82, 3144–3153. [DOI] [PubMed] [Google Scholar]
  10. Gilmour AR, Gogel BJ, Cullis BR and Thompson R 2009. ASReml User Guide Release 3.0. VSN International Ltd, Hemel Hempstead, UK.
  11. Ingham VM, Ponzoni RW, Gilmour AR and Pitchford W 2003. Genetic parameters for weight, fat and eye muscle depth in South Australian Merino sheep. Proceedings of the Association for the Advancement of Animal Breeding and Genetics 15, 322–325. [Google Scholar]
  12. Jones HE, Amer PR, Lewis RM and Emmans GC 2004. a. Economic values for changes in carcass lean and fat weights at a fixed age for terminal sire breeds of sheep in the UK. Livestock Production Science 89, 1–17. [Google Scholar]
  13. Jones HE, Lewis RM, Young MJ and Simm G 2004. b. Genetic parameters for carcass composition and muscularity in sheep measured by X-ray computer tomography, ultrasound and dissection. Livestock Production Science 90, 167–179. [Google Scholar]
  14. Leeds TD, Notter DR, Leymaster KA, Mousel MR and Lewis GS 2012. Evaluation of Columbia, USMARC-Composite, Suffolk, and Texel rams as terminal sires in an extensive rangeland production system: I. Ewe productivity and crossbred lamb survival and preweaning growth. Journal of Animal Science 90, 2931–2940. [DOI] [PubMed] [Google Scholar]
  15. Leymaster KA and Jenkins TG 1993. Comparison of Texel- and Suffolk-sired crossbred lambs for survival, growth and compositional traits. Journal of Animal Science 71, 859–869. [DOI] [PubMed] [Google Scholar]
  16. Maniatis N and Pollott GE 2002. a. Maternal effects on weight and ultrasonically measured traits of lambs in a small closed Suffolk flock. Small Ruminant Research 45, 235–246. [Google Scholar]
  17. Maniatis N and Pollott GE 2002. b. Nuclear, cytoplasmic, and environmental effects on growth, fat, and muscle traits in Suffolk lambs from a sire referencing scheme. Journal of Animal Science 80, 57–67. [DOI] [PubMed] [Google Scholar]
  18. Maxa J, Norberg E, Berg P and Pedersen J 2007. Genetic parameters for growth traits and litter size in Danish Texel, Shropshire, Oxford Down and Suffolk. Small Ruminant Research 68, 312–317. [Google Scholar]
  19. McHugh N, Berry D, McParland S, Wall E and Pabiou T 2016. Irish sheep breeding. Current status and future plans. Retrieved on 16 January 2019 from https://www.teagasc.ie/media/website/animals/sheep/Current_status_future_plans.pdf
  20. McHugh N, Pabiou T, McDermott K, Wall E and Berry DP 2017. Impact of birth and rearing type, as well as inaccuracy of recording, on pre-weaning lamb phenotypic and genetic merit for live weight. Translational Animal Science 1, 137–145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Merrell BG, Webster GM and Ellis M 1990. A comparison of three terminal sire breeds for crossbred lamb production. 1. Growth performance and carcass classification. BSAP Occasional Publication, 14, 169–172. [Google Scholar]
  22. Nasholm A and Danell O 1996. Genetic relationships of lamb weight, maternal ability, and mature ewe weight in Swedish finewool sheep. Journal of Animal Science 74, 329–339. [DOI] [PubMed] [Google Scholar]
  23. Notter DR 1998. Genetic parameters for growth traits in Suffolk and Polypay sheep. Livestock Production Science 55, 205–213. [Google Scholar]
  24. O’Brien AC, McHugh N, Wall E, Pabiou T, McDermott K, Randles S, Fair S and Berry DP 2016. Genetic parameters for lameness, mastitis and dagginess in a multi-breed sheep population. Animal 11, 911–919. [DOI] [PubMed] [Google Scholar]
  25. Osorio-Avalos J, Montaldo HH, Valencia-Posadas M, Castillo-Juárez H and Ulloa-Arvizu R 2012. Breed and breed × environment interaction effects for growth traits and survival rate from birth to weaning in crossbred lambs. Journal of Animal Science 90, 4239–4247. [DOI] [PubMed] [Google Scholar]
  26. Pabiou T, Byrne T, Wall E and McHugh N 2014. Genetic improvement of sheep in Ireland. Proceedings of the 10th World Congress of Genetics Applied to Livestock Production, 17–22 August 2014, Vancouver, Canada, 886.
  27. Rao S and Notter DR 2000. Genetic analysis of litter size in Targhee, Suffolk, and Polypay sheep. Journal of Animal Science 78, 2113–2120. [DOI] [PubMed] [Google Scholar]
  28. Safari A and Fogarty NM 2003. Genetic parameters for sheep production traits: estimates from the literature. Technical Bulletin 49, NSW Agriculture, Orange, Australia.
  29. Safari E, Fogarty NM and Gilmour AR 2005. A review of genetic parameter estimates for wool, growth, meat and reproduction traits in sheep. Livestock Production Science 92, 271–289. [Google Scholar]
  30. Safari E, Fogarty NM, Gilmour AR, Atkins KD, Mortimer SI, Swan AA, Brien FD, Greef JC and van der Werf JHJ 2007. Across population genetic parameters for wool, growth, and reproduction traits in Australian Merino sheep. 1. Data structure and non-genetic effects. Australian Journal of Agricultural Research 58, 169–175. [Google Scholar]
  31. Shrestha JNB, Vesely JA and Chesnais JP 1985. Genetic and phenotypic parameters for daily gain and body weights in Suffolk lambs. Canadian Journal of Animal Science 65, 575–582. [Google Scholar]
  32. Simm G and Dingwall WS 1989. Selection indices for lean meat production in sheep. Livestock Production Science 21, 223–233. [Google Scholar]
  33. Simm G, Lewis RM, Grundy B and Dingwall WS 2002. Responses to selection for lean growth in sheep. Animal Science 74, 39–50. [Google Scholar]
  34. Snyman MA, Olivier JJ and Olivier WJ 1996. Variance components and genetic parameters for body weight and fleece traits of Merino sheep in an arid environment. South African Journal of Animal Science 26, 11–14. [Google Scholar]
  35. Thiruvenkadan AK, Karunanithi K, Muralidharan J and Narendra Babu R 2011. Genetic analysis of pre-weaning and post-weaning growth traits of Mecheri sheep under dry land farming conditions. Asian-Australasian Journal of Animal Science 24, 1041–1047. [Google Scholar]
  36. Tosh JJ and Kemp RA 1994. Estimation of variance components for lamb weights in three sheep populations. Journal of Animal Science 72, 1184–1190. [DOI] [PubMed] [Google Scholar]
  37. Yazdi MH, Engstrom G, Nasholm A, Johansson K, Jorjani H and Liljedahl LE 1997. Genetic parameters for lamb weight at different ages and wool production in Baluchi sheep. Animal Science 65, 247–255. [Google Scholar]

Articles from Animal are provided here courtesy of Cambridge University Press

RESOURCES