Estimation of genetic parameters for post-weaning traits of Kermani sheep

The objective of the present study was to estimate genetic parameters for post-weaning traits in Kermani sheep. Traits were included 6-month weight (6MW), 9-month weight (9MW), yearling weight (YW), greasy fleece weight at first shearing (GFW) and greasy fleece weights at various shearings (RFW). Data and pedigree information used in this research were collected at Breeding Station of Kermani sheep during 1993–2004. Genetic parameters were estimated with single- and multi-traits analysis using restricted maximum likelihood (REML) procedures, under animal models. Log likelihood ratio test indicated the most appropriate model for 6MW and 9MW should included direct additive genetic effects as well as maternal permanent environmental effects. However the most appropriate model for YW and GFW had only the direct additive genetic effects. The effects of sex, age of dam and year of birth were significant on body weight traits (P < 0.01). GFW was influenced significantly by sex and year of birth (P < 0.01) but was not affected by age of dam (P > 0.05). Type of birth was no significant effect on studied traits (P > 0.05). Also, the age of lamb at weighing time was a significant influence on 6MW, 9MW and YW. Direct heritability estimates for 6MW, 9MW, YW and GFW were 0.32, 0.03, 0.15 and 0.15, respectively. Maternal permanent environmental estimates of 0.09 were obtained for 6MW and 9MW. Genetic correlation estimates between mentioned traits ranged from 0.51 to 0.99. Phenotypic correlations were generally lower than those of genetic correlation and varied from 0.05 to 0.79 for various traits. The environmental correlations estimates between GFW with growth traits were low, but between other traits were positive and high, ranged from 0.54 to 0.72. The value of repeatability estimated for greasy fleece weight was 0.22.     

Genetic trends estimation for body weights of Kermani sheep at different ages using multivariate animal models

The objective of the present study was to estimate genetic trends for body weight traits at different ages in Kermani lambs. Data collected from 1993 to 2006 by the Kermani Breeding Station were analyzed. Genetic trends were estimated for birth weight (BW), weaning weight (WW), 6-month weight (6MW), 9-month weight (9MW) and yearling weight (YW). Maximum number of data was 2654 at birth, but only 1124 at yearling. Different appropriate models for investigation of each trait using multivariate analysis were applied. Variance component were estimated using Simplex procedure and breeding values of animals were predicted with Best Linear Unbiased Prediction (BLUP) methodology under multi-trait animal models. Genetic trends of studied traits were estimated by regressing mean of breeding values on birth year. Direct genetic trends were positive and significant for BW (p < 0.05) WW, 6MW, 9MW and YW (p < 0.01) and were 2, 125, 91, 81 and 156 g/year, respectively. Also, maternal trend for BW was positive and highly significant (p < 0.01) and was 3 g/year.     

Estimates of phenotypic and genetic parameters for reproductive traits in Kermani sheep

Phenotypic and genetic parameter estimates for reproductive traits in Kermani sheep were estimated using reproductive records of 860 ewes. Data were collected during 1995–2007 at the experimental breeding station of Kermani sheep, south-east of Iran. Investigated traits were litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB) and litter mean weight per lamb weaned (LMWLW) as basic traits, total litter weight at birth (TLWB) and total litter weight at weaning (TLWW) as composite traits. Quantitative genetic analyses were performed applying restricted maximum likelihood (REML) procedure under repeatability models. Ewe age had significant effect on LMWLB, LMWLW, TLWB and TLWW (P < 0.01). However, LSB and LSW were not affected by age of the ewe. All the studied traits were significantly affected by lambing year (P < 0.01). Direct heritability estimates for LSB, LSW, LMWLB, LMWLW, TLWB and TLWW were 0.01, 0.03, 0.13, 0.22, 0.06 and 0.18, respectively, while the corresponding repeatabilities were 0.08, 0.10, 0.17, 0.29, 0.09 and 0.23, respectively. Genetic correlation estimates between the investigated traits ranged from ?0.94 for LSB–LMWLB and LSW–LMWLW to 0.99 for LSB–TLWW. Phenotypic and environmental correlations were generally lower than those of genetic correlations. Phenotypic correlations ranged from ?0.34 for LSB–LMWLB to 0.58 for TLWB-TLWW. Environmental correlations ranged from ?0.33 for LSB–LMWLB and LSW–LMWLB to 0.33 for LMWLB–LMWLW. The results suggested that selection based on TLWW could be more effective than the other traits on improvement of reproductive performance in Kermani ewes.     

Genetic parameters for physical and quality traits of mohair in South African Angora goats

The continuous evaluation and genetic improvement of fleece traits in Angora goats are of major importance to the Angora goat industry. The objective of this study was to estimate variance components and genetic parameters for both physical and quality traits of mohair in South African Angora goats. The data used for this study were collected on between 898 and 6211 kids (depending on the trait measured) born between 2000 and 2006 in 11 different Angora goat studs. Variance components and genetic parameters were estimated with the ASREML programme for fleece weight, fibre diameter, coefficient of variation of fibre diameter, standard deviation of fibre diameter, comfort factor, spinning/effective fineness and standard deviation of fibre diameter along the length of the staple. Most of these traits (excluding fleece weight) are measured using OFDA technology exclusively, and this study was the first attempt to calculate genetic parameters for these traits in South Africa. A model including the direct additive genetic effects only, were the most appropriate for estimation of all parameters. Heritability estimates were 0.24 ± 0.03 for fleece weight, 0.45 ± 0.03 for fibre diameter, 0.37 ± 0.10 for coefficient of variation of fibre diameter, 0.32 ± 0.11 for standard deviation of fibre diameter, 0.63 ± 0.10 for comfort factor, 0.61 ± 0.10 for spinning/effective fineness and 0.14 ± 0.08 for standard deviation of fibre diameter along the length of the staple. Results from this study can now be applied for the estimation of breeding values for fleece production of South African Angora goats and in incorporation into selection programs.     

Estimates of (co)variance components and genetic parameters for body weights and first greasy fleece weight in Bharat Merino sheep

(Co)variance components and genetic parameters of weight at birth (BWT), weaning (3WT), 6, 9 and 12 months of age (6WT, 9WT and 12WT, respectively) and first greasy fleece weight (GFW) of Bharat Merino sheep, maintained at Central Sheep and Wool Research Institute, Avikanagar, Rajasthan, India, were estimated by restricted maximum likelihood, fitting six animal models with various combinations of direct and maternal effects. Data were collected over a period of 10 years (1998 to 2007). A log-likelihood ratio test was used to select the most appropriate univariate model for each trait, which was subsequently used in bivariate analysis. Heritability estimates for BWT, 3WT, 6WT, 9WT and 12WT and first GFW were 0.05 ± 0.03, 0.04 ± 0.02, 0.00, 0.03 ± 0.03, 0.09 ± 0.05 and 0.05 ± 0.03, respectively. There was no evidence for the maternal genetic effect on the traits under study. Maternal permanent environmental effect contributed 19% for BWT and 6% to 11% from 3WT to 9WT and 11% for first GFW. Maternal permanent environmental effect on the post-3WT was a carryover effect of maternal influences during pre-weaning age. A low rate of genetic progress seems possible in the flock through selection. Direct genetic correlations between body weight traits were positive and ranged from 0.36 between BWT and 6WT to 0.94 between 3WT and 6WT and between 6WT and 12WT. Genetic correlations of 3WT with 6WT, 9WT and 12WT were high and positive (0.94, 0.93 and 0.93, respectively), suggesting that genetic gain in post-3WT will be maintained if selection age is reduced to 3 months. The genetic correlations of GFW with live weights were 0.01, 0.16, 0.18, 0.40 and 0.32 for BWT, 3WT, 6WT, 9WT and 12WT, respectively. Correlations of permanent environmental effects of the dam across different traits were high and positive for all the traits (0.45 to 0.98).     

A directed search around caprine candidate loci provided evidence for microsatellites linkage to growth and cashmere yield in Rayini goats

Four genomic regions located on goat chromosomes 1, 2, 5 and 13 previously reported as significant DNA regions harboring quantitative trait loci (QTL) for growth and fleece traits in goat were considered as candidate genomic regions. The objective of conducting this study was to determine whether there is evidence for association of growth traits and cashmere yield in native Iranian Rayini goats with markers flanking these candidate regions. One hundred and twenty kids from 6 Rayini bucks (20 half-sib offspring per buck) were used in the present study. The six bucks and their offspring were genotyped for eight microsatellite markers flanking the candidate intervals. Body weights recorded on the kids were birth weight (BW0), weaning weight (BW3) and weight at 6 months of age (BW6). Average daily gains from birth to weaning and weaning to 6 months of age were computed based on the values obtained for BW0, BW3 and BW6. Cashmere yield was also recorded for the kids at the first, second and third year of age. QTL analysis in the candidate intervals was conducted using the least squared regression interval mapping approach. Linkage analysis indicated significant QTL for growth traits on goat chromosomes 1, 2 and 5 (chromosome-wide significance of P < 0.01). Three of the candidate regions located on chromosomes 2, 5 and 13 were linked to cashmere yield. QTL effect ranged from 0.8 to 4.3 in units of residual standard deviation for different traits and families.     

Non-genetic factors affecting morphometric and fleece traits in guanaco (Lama guanicoe guanicoe) populations from Argentinean Patagonia

Lama guanicoe guanicoe is the guanaco subspecies located in the Argentinean Patagonia. It is of particular interest to characterize these populations as it is a native species and a high quality fibre production genetical resource. With the aim of describing phenotipically Lama guanicoe guanicoe populations, 262 specimens were sampled. The animals came from four different ecological regions, both wild and bred in captivity, from 5 ranches. Three age classes were established: calves (0–1 year), yearlings (1–2 years) and adults (more than 2 years). Morphometric variables measured were: body length (BL), thoracic depth (TD), half thoracic perimeter (HTP), head length (HL), shin length (ShL) and metacarpal circumference (MC). Fleece samples were evaluated on two ranches (n = 115) for: fleece total weight (FTW) and mean diameter of down (MDFD). Relationships between variables were studied and differences between morphostructures considering sex, age and ranch were analyzed. Age was the most important differencing factor (p < 0.05) for all morphometric traits (except for the ShL between yearlings and adults). Calves had finer MDFD (14.2 ± 0.6 μm) and less FTW (159 ± 47 g) than yearlings (15 ± 5.8 μm and 254 ± 57 g). Sexual dimorphism was not found in calves nor in yearlings for any of the morphometric characters considered. Adult females presented greater significant values (p < 0.05) for TD (42.7 ± 2.1 cm) and HTP (55.4 ± 3.2 cm) than males (41.6 ± 2.3 cm and 53 ± 2.9 cm, respectively). Only calf males presented higher significant values than females for the FTW (169 ± 42 g and 147 ± 51 g, respectively). FTW and MDFD were positively correlated between them (0.42) and with the thoracic measures (TD and HTP), these data imply an inverse relationship between quality and quantity of the fleece and suggest that the thoracic variables are good indicators of the fleece animal production in these Patagonian populations.     

Genetic parameters for carcase measurements and age at slaughter in commercial cattle

Genetic parameters were estimated for cold carcase weight (CCW), carcase conformation (CON), carcase fat class (FAT), age at slaughter (AGE) and average daily carcase gain (ADCG) in 14 common UK breeds of cattle. These included crossbred animals but purebred datasets were also analysed for the most populous sire-breeds. Heritability estimates for beef breeds that were significant ranged from 0.24 to 0.44, 0.12 to 0.35, 0.12 to 0.36, 0.15 to 0.38 and 0.26 to 0.43 for CCW, CON, FAT, AGE and ADCG, respectively. For Holstein-Friesian, a dairy breed, heritability estimates were consistently lower than most beef breeds with estimates of 0.12, 0.13, 0.13, 0.06 and 0.15 for CCW, CON, FAT, AGE and ADCG, respectively. In all breed groups, genetic correlations were positive between CCW, CON and ADCG. In general, genetic correlations were moderate between CCW and CON (0.13 to 0.77), moderate to strong between CCW and ADCG (0.57 to 0.98) and weak or moderate between CON and ADCG (0.12 to 0.82). Genetic correlations for FAT with CCW (−  0.20 to −  0.42) and CON (−  0.16 to −  0.52) tended to be negative in the beef breed but were positive in the dairy breed, although not significant between CCW and FAT. For most beef breeds genetic correlations between AGE and carcase traits were not significant with the exceptions of AGE and CCW for Simmental (−  0.15) and Salers (−  0.24), AGE and CON for Limousin (0.15) and Simmental (0.14) and AGE and FAT from three sire-breeds (−  0.17 to −  0.35). However, the correlation between AGE and ADCG was negative and moderate to strong in magnitude (−  0.23 to −  0.67) in all beef breeds as expected since faster-growing animals reach slaughter age earlier. For Holstein-Friesian, all genetic correlations with AGE were negative and moderate to strong. Genetic correlations indicate that selection for increased carcase weight should simultaneously increase growth rate and improve conformation in all breeds and reduce carcase fatness in the majority of beef breeds. The results indicate that there is genetic variation in all five traits suitable for undertaking genetic improvement of carcase traits and age at slaughter; however, there are apparent breed differences. The use of abattoir-derived phenotypes for undertaking genetic improvement is an example where the supply chain can work together to share information to enable the cattle industry to move forward.     

Suri and huacaya alpaca breeding results in North America

The segregation of suri and huacaya fleece types in alpacas in the United States deviates from that expected from results of previously published studies from other regions. Suri × suri matings produced 278 huacaya and 1702 suri offspring. Suri × huacaya matings produced 89 huacaya and 56 suri offspring. Huacaya × huacaya matings produced 19,633 huacaya and 4 suri offspring. No linkage or other influence of sex was noted. These results are consistent with a single autosomal dominant gene controlling suri fleece production, with an additional relatively common genetic mechanism that can suppress the suri phenotype in some animals. These results are especially important in cases where the two fleece types are crossed with one another, as they result in a relative underproduction of suri fleeces.     

Birth weight and subsequent risk of cancer

Background: We aimed to determine the association between self-reported birth weight and incident cancer in the Women's Health Initiative Observational Study cohort, a large multiethnic cohort of postmenopausal women. Methods: 65,850 women reported their birth weight by category (<6 lbs, 6–7 lbs 15 oz, 8–9 lbs 15 oz, and ≥10 lbs). All self-reported, incident cancers were adjudicated by study staff. We used Cox proportional hazards regression to estimate crude and adjusted hazard ratios (aHR) for associations between birth weight and: (1) all cancer sites combined, (2) gynecologic cancers, and (3) several site-specific cancer sites. Results: After adjustments, birth weight was positively associated with the risk of lung cancer (p = 0.01), and colon cancer (p = 0.04). An inverse trend was observed between birth weight and risk for leukemia (p = 0.04). A significant trend was not observed with breast cancer risk (p = 0.67); however, women born weighing ≥10 lbs were less likely to develop breast cancer compared to women born between 6 lbs-7 lbs 15 oz (aHR 0.77, 95% CI 0.63, 0.94). Conclusion: Birth weight category appears to be significantly associated with the risk of any postmenopausal incident cancer, though the direction of the association varies by cancer type.     

Aureobasidium pullulans batch cultivations based on a factorial design for improving the production and molecular weight of exopolysaccharides

Six factors: strain, carbon source, nitrogen source, nitrogen concentration, aeration, and initial pH, were investigated for their effects on exopolysaccharides (EPS) production in Erlenmeyer flasks by Aureobasidium pullulans using 2-level fractional factorial design. The concentration and molecular weight (MW) of EPS were optimized simultaneously. The effects of main factors together with possible two-factor interactions were detected, and the levels of the six factors were optimized using empirical models. Analysis of factor effects revealed that strain had the strongest influence on EPS concentration, and nitrogen source on MW of EPS. However, nitrogen concentration did not show significant influence on both parameters. The influences of factors on the production variability were also monitored for quality control purposes. At the optimum levels of control factors investigated, as high as 22.6 g/L EPS with a weight average MW of higher than 2 × 10⁶ was produced. The results of this work indicate that the production kinetics varies for different microorganism–medium–environment systems.     

Relationships among udder characteristics,milk yield and,non-yield traits in Frizarta dairy sheep

In the present study the relationships between five body structural and nine udder morphological traits with milk yield and non-yield traits, i.e. milk contents, somatic cell count and body weight in n = 171 Frizarta ewes were investigated. Positive correlations of moderate to high magnitude were observed among body measurements ranging from 0.25 (body length-chest width) to 0.61 (chest width-chest girth). High correlations were observed between udder width and udder circumference (r = 0.69) as well as between udder circumference at base and middle (r = 0.62). Udder height was found to be positively correlated with cistern depth (r = 0.32), udder width (r = 0.40) and udder circumference (r = 0.42) as well as with teat measurements (0.19 and 0.25 with teat length and teat circumference, respectively). Cistern depth was positively and highly correlated with teat angle (r = 0.64). The correlation between teat length and circumference was also high (r = 0.57). Teat angle was found to be negatively correlated with teat measurements (r = −0.39 and −0.23 for teat length and teat circumference, respectively). Principal components analysis revealed four components that jointly explained 67% of the variance of all the body and the udder morphological traits. The first principal component interpreted as the body dimensions was found to be associated with body weight of ewes. The second component interpreted as global and rear measurements of the udder was significant for milk yield traits. The third and fourth principal components were interpreted as the udder type and teat dimensions, respectively. Ewes’ body weight could be adequately predicted by chest girth, body length, chest width and withers height. Test day milk yields were found to be associated with udder circumference and udder width as well as with udder height and teat length. None of the udder measurements and/or teat characteristics was found to be correlated with milk content(s) and/or somatic cell count. New statistical techniques can be successfully implemented in investigation of relationships between various traits in dairy sheep.     

Lead biosorption efficiency of Levilactobacillus brevis MZ384011 and Levilactobacillus brevis MW362779: A response surface based approach

Lead (Pb) is a substantial contaminant in the environment and a potent toxin for living organisms. Current study describes probiotic characteristics of Pb-biosorbing lactic acid bacteria (LAB), and response surface methodology (RSM) based optimization of physical conditions for maximum Pb biosorption. A total of 18 LAB, isolated from carnivore feces (n = 8) and human breast milk (n = 9), along with one reference strain Lactobacillus acidophilus ATCC4356 were included in the study. Pb biosorption was strain specific. Eight strains, demonstrating ≥ 70 % lead biosorption, were selected for further testing. The lactobacillus-Pb complex was found to be stable and strains had a negative surface charge. The strains displayed good probiotic properties with the survival rate of 71–90 % in simulated gastric environment, 36–69 % in intestinal condition (1.8 % bile salts) and 55–72 % hydrophobicity. On the basis of excellent probiotic ability, Levilactobacillus brevis MZ384011 and Levilactobacillus brevis MW362779 were selected for optimization of physical conditions of Pb biosorption through RSM. Maximum biosorption was observed at pH 6 in 60 min at a cell density of 1 g/L. L. brevis MZ384011 and L. brevis MW362779 are recommended for experimentation on Pb toxicity amelioration and safety evaluation in in-vivo setting.     

Assessing the effects of rare alleles and linkage disequilibrium on estimates of genetic diversity in the chicken populations

Phenotypic diversity in poultry has been mainly driven by artificial selection and genetic drift. These led to the adaptation to the environment and the development of specific phenotypic traits of chickens in response to their economic use. This study evaluated genetic diversity within and between Russian breeds and populations using Illumina Chicken 60 K SNP iSelect BeadChip by analysing genetic differences between populations with Hudson's fixation index (F_ST statistic) and heterozygosity. We estimated the effect of rare alleles and linkage disequilibrium (LD) on these measurements. To assess the effect of LD on the genetic diversity population, we carried out the LD-based pruning (LD < 0.5 and LD < 0.1) for seven chicken populations combined (I) or separately (II). LD pruning was specific for different dataset groups. Because of the noticeably large sample size in the Russian White RG population, pruning was substantial for Dataset I, and F_ST values were only positive when LD < 0.1 pruning was applied. For Dataset II, the LD pruning results were confirmed by examining heterozygosity and alleles' frequency distribution. LD between single nucleotide polymorphisms was consistent across the seven chicken populations, except the Russian White RG population with the smallest r² values and the largest effective population size. Our findings suggest to study variability in each population LD pruning has to be carried separately not after merging to avoid bias in estimates.     

Novel insights into cyclooxygenases,linoleate diol synthases,and lipoxygenases from deuterium kinetic isotope effects and oxidation of substrate analogs

Cyclooxygenases (COX) and 8R-dioxygenase (8R-DOX) activities of linoleate diol synthases (LDS) are homologous heme-dependent enzymes that oxygenate fatty acids by a tyrosyl radical-mediated hydrogen abstraction and antarafacial insertion of O₂. Soybean lipoxygenase-1 (sLOX-1) contains non-heme iron and oxidizes 18:2n ? 6 with a large deuterium kinetic isotope effect (D-KIE). The aim of the present work was to obtain further mechanistic insight into the action of these enzymes by using a series of n ? 6 and n ? 9 fatty acids and by analysis of D-KIE. COX-1 oxidized C₂₀ and C₁₈ fatty acids in the following order of rates: 20:2n ? 6 > 20:1n ? 6 > 20:3n ? 9 > 20:1n ? 9 and 18:3n ? 3 ≥ 18:2n ? 6 > 18:1n ? 6. 18:2n ? 6 and its geometrical isomer (9E,12Z)18:2 were both mainly oxygenated at C-9 by COX-1, but the 9Z,12E isomer was mostly oxygenated at C-13. A cis-configured double bond in the n ? 6 position therefore seems important for substrate positioning. 8R-DOX oxidized (9Z,12E)18:2 at C-8 in analogy with 18:2n ? 6, but the 9E,12Z isomer was mainly subject to hydrogen abstraction at C-11 and oxygen insertion at C-9 by 8R-DOX of 5,8-LDS. sLOX-1 and 13R-MnLOX oxidized [11S-²H]18:2n ? 6 with similar D-KIE (~ 53), which implies that the catalytic metals did not alter the D-KIE. Oxygenation of 18:2n ? 6 by COX-1 and COX-2 took place with a D-KIE of 3–5 as probed by incubations of [11,11-²H₂]- and [11S-²H]18:2n ? 6. In contrast, the more energetically demanding hydrogen abstractions of the allylic carbons of 20:1n ? 6 by COX-1 and 18:1n ? 9 by 8R-DOX were both accompanied by large D-KIE (> 20).     

Genetic variation and clonal diversity in populations of Nelumbo nucifera (Nelumbonaceae) in central China detected by ISSR markers

To obtain accurate estimates of population structure for purposes of conservation planning for wild lotus (Nelumbo nucifera Gaertn.) in central China, genetic diversity among and within six populations, and clonal diversity within another two populations of the species were analyzed. The genetic diversity was high (percentage of polymorphic bands, PPB = 90.0%; Shannon's information index, I = 0.383 ± 0.234) at the species level, but low within individual study populations (PPB = 35.8%; Shannon's information index I = 0.165 ± 0.241). The mean coefficient of gene differentiation (G_st) was 0.570, indicating that 43.0% of the genetic diversity resided within the population. Analysis of molecular variance (AMOVA) indicated that 50.47% of the genetic diversity among the study populations was attributed to geographical location while 12.3% was attributed to differences in their habitats. An overall value of mean estimated number of gene flow (N_m = 0.377) indicated that there was limited gene flow among the sampled populations. The level of clonal diversity found within the populations was considerably high (Simpson's diversity index, D = 0.985) indicating that clonal diversity contributes to a major extent to the overall genetic variation in the genetic structure of N. nucifera. On the basis of the high G_st and D values detected in this study we recommend that any future conservation plans for this species should be specifically designed to include those representative populations with the highest genetic variation for both in situ conservation and germplasm collection expeditions.     

Genetic analyses of metabolic body weight,carcass weight and body conformation traits in Nordic dairy cattle

Improving feed efficiency in dairy cattle by animal breeding has started in the Nordic countries. One of the two traits included in the applied Saved feed index is called maintenance and it is based on the breeding values for metabolic BW (MBW). However, BW recording based on heart girth measurements is decreasing and recording based on scales is increasing only slowly, which may weaken the maintenance index in future. Therefore, the benefit of including correlated traits, like carcass weight and conformation traits, is of interest. In this study, we estimated genetic variation and genetic correlations for eight traits describing the energy requirement for maintenance in dairy cattle including: first, second and third parity MBW based on heart girth measurements, carcass weight (CARW) and predicted MBW (pMBW) based on predicted slaughter weight, and first parity conformation traits stature (ST), chest width (CW) and body depth (BD). The data consisted of 21 329 records from Finnish Ayrshire and 9 780 records from Holstein cows. Heritability estimates were 0.44, 0.53, 0.56, 0.52, 0.54, 0.60, 0.17 and 0.26 for MBW1, MBW2, MBW3, CARW, pMBW, ST, CW and BD, respectively. Estimated genetic correlations among MBW traits were strong (>0.95). Genetic correlations between slaughter traits (CARW and pMBW) and MBW traits were higher (from 0.77 to 0.90) than between conformation and MBW traits (from 0.47 to 0.70). Our results suggest that including information on carcass weight and body conformation as correlated traits into the maintenance index is beneficial when direct BW measurements are not available or are difficult or expensive to obtain.     

Protein requirements of Texel crossbred lambs

A comparative slaughter trial was conducted to determine the protein requirements for maintenance and growth of feedlot Texel crossbred lambs. Thirty 11/16 Texel × 5/16 Ile de France crossbred noncastrated male lambs weaned at 42 days of age (16.2 ± 2.1 kg of shrunk body weight; SBW) were used. Five lambs were chosen randomly and slaughtered after 10 days of experimental management and diet adaptation (baseline group). Fifteen lambs were fed ad libitum and slaughtered at 25, 30 or 35 kg of SBW. The remaining 10 lambs were then assigned randomly to two levels of dry matter intake, either 70 or 55% of the ad libitum intake, and were slaughtered concomitantly with lambs slaughtered at 35 kg of SBW but given free choice access to feed. Total body N content and retention were determined. Additionally, six Texel × Ile de France crossbred lambs (30.4 ± 2.6 kg of SBW) housed in individual metabolic cages were used in a replicated 3 × 3 Latin square digestibility trial to evaluate diet digestibility and microbial protein synthesis at the different levels of feed intake. The endogenous N loss was 243 ± 29 mg/kg^0.75 of SBW, corresponding to a net protein requirement for maintenance of 1.52 ± 0.18 g/kg^0.75 of SBW. The metabolizable protein (MP) requirement for maintenance was 2.31 g/kg^0.75 of SBW, and the efficiency of MP use for maintenance was 0.66. Fleece-free body protein content decreased from 163 to 155 g/kg of empty body weight (EBW) as EBW increased from 13 to 28 kg. However, when protein in fleece was considered the whole-body protein content remained nearly constant. Net protein requirements for body weight gain and wool growth of lambs at 15 and 35 kg of SBW, and an average daily gain of 250 g, were 28.7 and 27.3 g/day and 3.8 and 5.8 g/day, respectively. Estimated efficiencies of MP use for body weight gain (k_pg) and wool growth (k_pw) were, respectively, 0.71 and 0.46. Growth pattern of the wool has a high influence on protein requirements of lambs. Texel crossbred growing lambs used in our study showed protein requirements for growth lower than those reported by the most nutritional systems.