Additive Genetic Correlations Research Articles

Genetic parameters for direct and maternal effects on growth traits of sheep

Abstract. The aim of the present study was to estimate (co)variance components and corresponding genetic parameters for birth weight (BW), weaning weight (WW), 6-month weight (W6), 9-month weight (W9), average daily gain from birth to weaning (WWDG), average daily gain from weaning to 6 months (W6DG) and average daily gain from 6 months to 9 months (W9DG) for a nucleus flock of Iranian Makooei sheep. Genetic parameters were estimated by REML procedure fitting six animal models including various combinations of maternal effects. The Akaike information criterion (AIC) was used to determine the most appropriate model. Estimates of direct heritability (h2) ranged from 0.13 (W6DG) to 0.32 (BW). Maternal effects were found to be important in the growth performance of the Makooei sheep, indicating the necessity of including maternal effects in the model to obtain accurate estimates of direct heritability. Estimates of maternal heritability (m2) ranged from 0.05 (W6) to 0.16 (WWDG) and the estimates of proportion of maternal permanent environmental variance to phenotypic variance (c2) were in the range between 0.05 (BW) and 0.10 (W6). Direct additive genetic correlations were positive in all cases and ranged from 0.00 (BW/W9DG) to 0.99 (WW/WWDG). Phenotypic correlations showed a broad range from −0.27 (WW/W9DG) to 0.99 (WW/WWDG). Estimates of genetic parameters showed that genetic improvement through selection programs is possible. WW would be a suitable selection criterion since it has acceptable direct heritability and relatively high genetic correlation with other traits.

Predicted genetic gain and realised gain in stand volume of Eucalyptus globulus

Realised gains in stand volume of Eucalyptus globulus Labill. families at 7–9 years were compared with gains predicted at 3.5 years. Gain predictions were based on height, diameter at breast height (DBH), sectional area, and stem volume for 153 full-sib families and 18 commercial checks in five-tree line plots on three West Australian sites. Single-site narrow-sense heritability estimates were 0.12–0.24 for height, 0.08–0.12 for DBH, 0.09–0.13 for sectional area, and 0.14–0.19 for stem volume. Genetic dominance effects were significant (p < 0.05) in most cases, and the estimated dominance/additive genetic variance ratio was heterogeneous for height and DBH. Stand volume was measured for 93 of the same families and checks in 40-tree block plots on four sites. Heritability of stand volume was 0.25–0.76, with an across-sites estimate of 0.41. Dominance effects were statistically absent at two sites. Estimated region-wide additive genetic correlations between selection traits (in line plots) and stand volume (in block plots) ranged from 0.86 to 0.90. Estimated stand volume gain was 23 % of the mean for the best 12 % of families and 14 % of the mean for the best 24 % of families. Realised gain was under-estimated by predictions based on height, DBH, and sectional area, which had smaller coefficients of additive variation than did stem volume. It is concluded that although BLUP analysis of early-age height and DBH can provide for indirect selection on E. globulus stand volume, analysis of stem volume is required to predict genetic gain at an appropriate scale.

Estimation of genetic parameters for fleece traits in yearling Inner Mongolia Cashmere goats

The objective of this study was to determine the genetic parameters and variance components of the economically important fleece traits staple fineness (SF), staple length (SL), fiber diameter (FD) and fiber length (FL) in yearling Inner Mongolia Cashmere goats (IMWC). Data collected in 2008–2011 from 5 Arbas Cashmere goat flocks were analyzed. Fixed effects were determined using a generalized linear model with least square means. Variance components and genetic parameters were determined using the restricted maximum likelihood method. By ignoring or including maternal additive genetic effects and maternal permanent environment effects, and considering whether direct additive genetic and maternal additive genetic effects were correlated or not, six different single-trait animal models were obtained. A log likelihood ratio test was conducted to choose the most appropriate model. Then, genetic correlations among fleece traits were obtained using the average information restricted maximum likelihood method with multi-trait models. Year of production and herd had highly significant influences on all fleece traits (P<0.01). Sex had highly significant influences on all fleece traits (P<0.01) except SF. Dam ages had a significant effect on FD (P<0.05), but was not related to other three traits. Type of birth had no significant effect on the fleece traits in this study (P>0.05). The log likelihood ratio test indicated that neither maternal additive genetic effects nor maternal permanent environment effects had a significant influence on the traits examined in this study. Direct additive heritabilities (hd2) were 0.27, 0.28, 0.34 and 0.17 for SF, SL, FD and FL, respectively, which is moderate to low. Direct additive genetic correlations were negative (−0.40) between SL and SF, but were positive (0.45) between SF and FD. Genetic correlations among the other traits were low, ranging from −0.17 to 0.12. The purpose of this study was to determine the genetics parameters of fleece traits to help improve the genetics of the Inner Mongolia Cashmere goats (IMWC).

Heritability of Strabismus: Genetic Influence Is Specific to Eso-Deviation and Independent of Refractive Error

Strabismus represents a complex oculomotor disorder characterized by the deviation of one or both eyes and poor vision. A more sophisticated understanding of the genetic liability of strabismus is required to guide searches for associated molecular variants. In this classical twin study of 1,462 twin pairs, we examined the relative influence of genes and environment in comitant strabismus, and the degree to which these influences can be explained by factors in common with refractive error. Participants were examined for the presence of latent ('phoria') and manifest ('tropia') strabismus using cover-uncover and alternate cover tests. Two phenotypes were distinguished: eso-deviation (esophoria and esotropia) and exo-deviation (exophoria and exotropia). Structural equation modeling was subsequently employed to partition the observed phenotypic variation in the twin data into specific variance components. The prevalence of eso-deviation and exo-deviation was 8.6% and 20.7%, respectively. For eso-deviation, the polychoric correlation was significantly greater in monozygotic (MZ) (r = 0.65) compared to dizygotic (DZ) twin pairs (r = 0.33), suggesting a genetic role (p = .003). There was no significant difference in polychoric correlation between MZ (r = 0.55) and DZ twin pairs (r = 0.53) for exo-deviation (p = .86), implying that genetic factors do not play a significant role in the etiology of exo-deviation. The heritability of an eso-deviation was 0.64 (95% CI 0.50-0.75). The additive genetic correlation for eso-deviation and refractive error was 0.13 and the bivariate heritability (i.e., shared variance) was less than 1%, suggesting negligible shared genetic effect. This study documents a substantial heritability of 64% for eso-deviation, yet no corresponding heritability for exo-deviation, suggesting that the genetic contribution to strabismus may be specific to eso-deviation. Future studies are now needed to identify the genes associated with eso-deviation and unravel their mechanisms of action.

Bayesian inference for multi-environment spatial individual-tree models with additive and full-sib family genetic effects for large forest genetic trials

The gain in accuracy of breeding values with the use of single trial spatial analysis is well known in forestry. However, spatial analyses methodology for single forest genetic trials must be adapted for use with combined analyses of forest genetic trials across sites. This paper extends a methodology for spatial analysis of single forest genetic trial to a multi-environment trial (MET) setting. A two-stage spatial MET approach using an individual-tree model with additive and full-sib family genetic effects was developed. Dispersion parameters were estimated using Bayesian techniques via Gibbs sampling. The procedure is illustrated using height growth data at age 10 from eight large Tsuga heterophylla (Raf.) Sarg. second-generation full-sib progeny trials from two series established across seven sites in British Columbia (Canada) and on one in Washington (USA). The proposed multi-environment spatial mixed model displayed a consistent reduction of the posterior mean and an increase in the precision of error variances $$ \left( {\sigma _{e}^{2}} \right) $$ than the model with “sets in replicates” or incomplete block alpha designs. Also, the multi-environment spatial model provided an average increase in the posterior means of the narrow- and broad-sense individual-tree heritabilities (h N 2 and h B 2 , respectively). No consistent changes were observed in the posterior means of additive genetic correlations (r Ajj′). Although computationally demanding, all dispersion parameters were successfully estimated from the proposed multi-environment spatial individual-tree model using Bayesian techniques via Gibbs sampling. The proposed two-stage spatial MET approach produced better results than the commonly used nonspatial MET analysis.

Prediction of breeding values for average fruit weight in mango using a multivariate individual mixed model

Mango is an important horticultural fruit crop and breeding is a key strategy to improve ongoing sustainability. Knowledge of breeding values of potential parents is important for maximising progress from breeding. This study successfully employed a mixed linear model methods incorporating a pedigree to predict breeding values for average fruit weight from highly unbalanced data for genotypes planted over three field trials and assessed over several harvest seasons. Average fruit weight was found to be under strong additive genetic control. There was high correlation between hybrids propagated as seedlings and hybrids propagated as scions grafted onto rootstocks. Estimates of additive genetic correlation among trials ranged from 0.69 to 0.88 with correlations among harvest seasons within trials greater than 0.96. These results suggest that progress from selection for broad adaptation can be achieved, particularly as no repeatable environmental factor that could be used to predict G × E could be identified. Predicted breeding values for 35 known cultivars are presented for use in ongoing breeding programs.

English

&nbsp; Genetic parameters and (co)variance components were estimated by restricted maximum likelihood (REML) procedure, using animal models of kind 1, 2, 3, 4, 5 and 6, for body weight in birth, three, six, nine and 12 months of age in a Kurdish sheep flock. Direct and maternal breeding values were estimated using the best linear unbiased prediction (BLUP) by DF-REML software. The data used in the present study was obtained from one research flock of Kurdistan Kurdish sheep, including 2476 animals, during the period of 1993 to 2003 (11 years). The log L estimated for all of the six models of this study showed that model 6 was the most appropriate for the analysis of data. Direct heritability values for the traits of this study based on the model 6 (best model) were 0.161, 0.233, 0.260, 0.091, and 0.122, for body weight in birth, three, six, nine and 12 months of age, respectively. Furthermore, maternal heritability (m2) based on the model were 0.238, 0.023, 0.014, 0.005, 0.004, for body weight in birth, three, six, nine and 12 months of age, respectively. Correlation between direct and maternal additive genetic values for body weight in birth, three, six, nine and 12 months of age were 0.0351, 0.5911, 0.7427, 0.7968 and 0.5735, respectively. Direct additive genetic correlations between birth weight and body weight performance at later ages were positive and relatively high, ranging from 0.31 to 0.67, and they were positive and high between weaning and later weights and six month with yearling weight, ranging from 0.54 to 0.79. &nbsp; Key words:&nbsp;Genetic parameters, (co)variance components, body weights, Kurdish sheep.

Genetic variation between and withinex-situnative-provenance collections ofPinus radiataD. Don planted in Australia and New Zealand

AbstractA total of 1226 increment cores were sampled from two provenance trials ofPinus radiataD. Don planted in New Zealand (Kaingaroa) and Australia (Kangaroovale), to study variation and inheritance of wood density in selections from three mainland California natural populations: Año Nuevo, Monterey and Cambria. The study represents a back-to-back comparison of the same provenance and family material on contrasting sites between New Zealand and Australia. Monterey was significantly different to Año Nuevo and Cambria at Kaingaroa (p&lt;0.05), and had slightly higher density, whereas all provenances were almost identical and not significantly different at Kangaroovale. However, there were significant differences for wood density at family level for Año Nuevo and Cambria at Kangaroovale. No significant provenance or family differences were detected for core length at either site. The estimates of heritability for wood density were all above 0.50 and generally higher at Kaingaroa than at Kangaroovale. Estimates of additive genetic correlations between wood density and core length were imprecise. Genotype × site interactions for density appeared minor (estimated type-B genetic correlation= 0.70) despite substantial differences in rainfall and soils. The similarity of Cambria to Año Nuevo for density is an interesting result because the genetic base of the present Australian and New Zealand plantations has been shown to be from Año Nuevo and Monterey. Infusion of Cambria material would increase the overall genetic base of the radiata pine breeding programs, with potential long-term benefits, despite the often disappointing growth performance of material collected from Cambria.

Estimates of genetic and phenotypic parameters for weight and length in Paralichthys olivaceus (Temminck et Schlegel)

The complete diallel cross design was employed to estimate the genetic parameters of the growth of Japanese flounder (Paralichthys olivaceus). A total of 60 full-sib families were cultivated and two growth-related traits, body weight (BW) and body length (BL), were examined at average 2, 3 and 8 months of age respectively, with 1 800 individuals measured in each age group (30 per family). Based on the additive-dominance-maternal-effect genetic analysis model, the restricted maximum likelihood approach was used to estimate various (co)variance components. The results showed that narrow-sense heritability estimates of BW and BL were respectively: 0.29±0.01 and 0.22±0.02 at 2 months of age, 0.32±0.02 and 0.30±0.04 at 3 months of age, 0.48±0.04 and 0.40±0.05 at 8 months of age; broad-sense heritability estimates were respectively: 0.44±0.02 and 0.54±0.04 at 2 months of age, 0.35±0.01 and 0.36±0.03 at 3 months of age, 0.49±0.03 and 0.45±0.04. All heritabilities were statistically significant (P <0.05). Additive genetic correlations between BW and BL at 2, 3 and 8 months of age were consistently positive and highly significant (P <0.01): 0.93±0.02, 0.95±0.03 and 0.92±0.03 respectively. Maternal effect was significant (P <0.05) only at 2 months of age, and was not detected at 3 and 8 months of age. According to the heritability estimates, the mass selection strategy should be efficient for the breeding of Japanese flounder.

Genetic effects and genetic relationships among shrunken (sh2) sweet corn lines and F1 hybrids

The objectives of this study were to quantify the components of genetic variance and the genetic effects, and to examine the genetic relationship of inbred lines extracted from various shrunken2 (sh2) breeding populations. Ten diverse inbred lines developed from sh2 genetic background, were crossed in half diallel. Parents and their F1 hybrids were evaluated at three environments. The parents were genotyped using 20 polymorphic simple sequence repeats (SSR). Agronomic and quality traits were analysed by a mixed linear model according to additive-dominance genetic model. Genetic effects were estimated using an adjusted unbiased prediction method. Additive variance was more important than dominance variance in the expression of traits related to ear aspects (husk ratio and percentage of ear filled) and eating quality (flavour and total soluble solids). For agronomic traits, however, dominance variance was more important than additive variance. The additive genetic correlation between flavour and tenderness was strong (r = 0.84, P < 0.01). Flavour, tenderness and kernel colour additive genetic effects were not correlated with yield related traits. Genetic distance (GD), estimated from SSR profiles on the basis of Jaccard’s similarity coefficient varied from 0.10 to 0.77 with an average of 0.56. Cluster analysis classified parents according to their pedigree relationships. In most studied traits, F1 performance was not associated with GD.

Selection for conformation and conformational homogeneity of litters in the German shepherd dog

Breeding standards of most dog breeds specify tolerable ranges of certain conformation traits. In the German shepherd dog (GSD), current means for withers height (WH) and BW are close to the upper breed limits. Therefore, strategies to avoid a further increase in size and to maximize the proportion of dogs fitting the breeding standard with respect to WH and BW should be compared. Body measurements were available for 14,416 male and 21,612 female GSD from 26,155 litters. Withers height and body mass index (BMI; i.e., BW/WH(2)) were considered direct selection traits. Using information on 17,154 GSD from litters with at least 2 dogs with conformation data, we defined within-litter variances of WH (vWH) and BMI (vBMI) as traits to select for the conformational homogeneity of litters. Officially recorded scores for canine hip dysplasia (CHD) of all dogs were used to monitor possible side effects of conformation selection on CHD. Genetic parameters were estimated multivariately in linear animal models by using Gibbs sampling. Heritabilities ranged between 0.19 and 0.34 for all traits, and additive genetic correlations between WH and vWH were -0.11 and those between BMI and vBMI were 0.11. The expected selection response was studied using the relative breeding values (RBV) of parents, assuming exclusion of sires, dams, or both with RBV larger than 120 and comparing means of WH, BMI, and CHD scores between offspring of all and selected parents. Concurrent selection for small WH and vWH was found to reduce the mean WH in males and females most efficiently while having little effect on CHD distributions. Multiple-trait selection for WH, vWH, BMI, and vBMI was hindered by the negative genetic correlations between the traits, and it tended to interfere with improvement of CHD status. Use of the RBV for WH and vWH for conformation selection is therefore recommended to maximize breeding success with regard to conformation and conformational homogeneity in the GSD.

Segment-specific carotid intima-media thickness and cardiovascular risk factors in Koreans: the Healthy Twin Study

Increased carotid intima-media thickness is associated with higher cardiovascular disease risk. This study aimed to evaluate the contributions of cardiovascular risk factors and inheritance to segment-specific carotid intima-media thickness. Cross-sectional observational study. A total of 706 Korean adults was selected from the Healthy Twin Study. The intima-media thickness of common, carotid bifurcation, and internal carotid artery were measured using B-mode ultrasound. Behavioral and biological cardiovascular risk factors were measured. Quantitative genetic and linear mixed analyses were performed to examine inherited and environmental contributions to intima-media thickness variation. Heritability of intima-media thickness was moderately high with estimates (95% confidence intervals) of 0.48 (0.37, 0.59), 0.38(0.27, 0.49), and 0.45(0.34, 0.55) for common, carotid bifurcation, and internal carotid artery, respectively. The additive genetic cross-trait correlations between the segments ranged between 0.43 and 0.75, suggesting a shared genetic influence on the three carotid segments. Additive inherited effects contributed 21% and 31% (common and internal carotid, respectively) to the total variance of the intima-media thickness, while measured cardiovascular risk factors accounted for 46% and 26% (common and internal carotid, respectively). The cardiovascular risk factors significantly associated with carotid intima-media thickness were as follows: in men, alcohol use (bifurcation); physical activity (common and internal); BMI (all segments); diabetes (bifurcation and internal); hypertension (internal); and HDL-cholesterol (common and bifurcation); and in women, smoking (bifurcation), hypertension (common), total and LDL cholesterol (bifurcation and internal), and hs-CRP (common and internal). Individual cardiovascular risk factors were differentially associated with carotid intima-media thickness by segments and sex. Inherited effects made a heterogeneous contribution to intima-media thickness by segment. These findings may explain the differences in cardiovascular disease occurrence between men and women.

Association and Causal Relationship of Midlife Obesity and Related Metabolic Disorders with Old Age Cognition

Epidemiological studies suggest a relationship between midlife metabolism and old age cognition. We examined the effect of midlife BMI and related metabolic conditions on old age cognitive performance and whether there was evidence from direct causal pathways behind these associations in a large sample of Finnish twins. Midlife variables of 2606 twin individuals were based on postal questionnaires and registry records. Old age cognitive status was measured by using a validated telephone interview. Midlife BMI, cardiovascular disease, hypertension and diabetes were each associated with old age cognition when adjusted for sex, education, birth year and age at the interview. Similarly, overweight increased the risk for categories of mild impairment of cognitive function and likely dementia. Cardiovascular disease diminished the mean cognitive score also among discordant twin pairs (β-estimate=1.10, p-value= 0.012). Weight gain more than 1.7 kg/m(2) and loss more than 2 kg/m(2) within an average of 5.6 years were associated with lower cognitive performance independently of BMI. An additive genetic correlation explained the association between BMI and old age cognition (r(A)=-0.12, 95% CI -0.21; -0.03), but adjustment for education led to loss of significance (r(A)=-0.06, 95% CI -0.16; 0.03). Midlife metabolic diseases, especially diabetes, are independently associated with impaired cognition in old age. Even a more subtle weight change than suggested previously was associated with lower old age cognition. There was evidence from direct causal pathway between cardiovascular disease and old age cognition, while the correlation between midlife BMI and old age cognition was explained mostly by genetic factors.

Genetic variation in traits affecting sawn timber recovery in plantation-grown Eucalyptus nitens

& Introduction There is increasing interest in managing Eucalyptus nitens plantations for sawn timber production. & Aims This study aimed to determine the potential for genetic improvement of traits affecting green sawn board recovery in plantation-grown E. nitens. & Methods The study was undertaken on an E. nitens progeny trial. All trees were measured for diameter at breast height (DBH) and stem straightness, and 560 trees were selected for timber processing. Assessment was made of survival, log and green sawn board volume, log taper, and both upper and lower log end splitting. Genetic variation in and between these traits was estimated. & Results Geneticdifferencesamongracesweresignificantfor DBH at years 9 and 14, stem straightness, log taper and green sawn board volume. Within-race, narrow-sense heritabilities were significant for DBH, stem straightness, log volume, and both upper and lower log end splitting. Positive and significant additive genetic correlations were observed between DBH at all ages and survival, stem straightness and log volume. Significant adverse genetic correlations were shown between upper log end splitting and DBH at years 9 and 14. & Conclusion These findings showed that harvest-age stem straightness and log volume objective traits in E. nitens are amenable to genetic improvement and that selection for early-age DBH in breeding programmes should improve harvest-age survival, stem diameter and straightness, as well as log and green sawn board volume. However, these improvements are likely to be countered to some extent by increased end splitting of logs from larger trees.

Genetic correlations between free movement and movement under rider in performance tests of German Warmblood horses

Performance information on 2758 mares that had completed mare performance tests (MPT) of the Oldenburg horse breeders' society in 2000–2008 was used for genetic analyses focusing on options to improve existing breeding programs through refined trait definition. Testing conditions were largely unchanged in the study period, with most data referring to MPT results of 3- or 4-year-olds. For all mares, scores on a scale from 1 to 10 were available for walk, trot, canter, rideability, and free jumping, with gait scores representing means from evaluation during free movement (F) and under rider (R). Distinct F and R gait scores were available for a subset of the mares with MPT in 2003–2008 and were used to investigate the effect of evaluation type on variance components. Genetic parameters were estimated with residual maximum likelihood (REML) in multivariate linear animal models. Heritability estimates for the MPT traits ranged from 0.19 (rideability) to 0.56 (free-jumping). For the gaits heritabilities were similar (canter) or higher (walk, trot) for F scores than for corresponding R scores. The correlations between F and R scores for the same gait were found to be closer additive genetically (rg=0.7–0.9) than phenotypically (rp=0.4–0.6), but indicated that F and R scores may not represent exchangeable measures of the same trait. Further correlation analyses revealed moderately to highly positive additive genetic correlations between gaits and rideability for both F and R scores, whereas additive genetic correlations between walk and canter and between trot and free jumping was relevantly dependent on evaluation type. Because selection of riding horses represents multiple-trait selection, better reflection of covariances between selection traits will help maximizing the overall breeding progress. According to our results, Warmblood breeding may therefore benefit from refinement of trait definition with clear distinction between gait evaluation during free movement and under rider.

Quantitative genetics of cold hardiness and growth in Eucalyptus as estimated from E. urophylla × E. tereticornis hybrids

Interspecific hybrids of Eucalyptus urophylla S. T. Blake × E. tereticornis Smith were used for quantitative genetic analysis of cold hardiness (CH) and growth traits height (H), diameter at breast height (D) and volume (V) at 0.5, 1.5, 2.5 and 4 years of age. The effect of E. tereticornis male variance was significant (P < 0.05) for CH as well as 2.5- and 4-year-old growth except for H 4, and E. urophylla female × E. tereticornis male interaction was significant for 0.5- and 1.5-year-old growth and CH except for CH 0.5, whereas E. urophylla female effect was not significant for the majority of traits analyzed. Both additive and dominance gene action were present in the genetics of all the traits measured at most ages, indicating that those traits may be improved by hybrid breeding. The σ 2 /σ 2 ratios tended to decline after 1.5 years of age in CH and growth traits, implying that breeding value predictions derived from older performance might be more reliable. Estimates of narrow-sense heritability (h 2 ) for CH and growth ranged from 0.03 ± 0.05 to 0.28 ± 0.13, depending on trait and age. Additive genetic correlations between CH and V were 0.28 ± 0.48 and 0.69 ± 0.30 at ages 1.5 and 2.5, respectively, suggesting that selection for growth would cause a favorable increase in cold hardiness in E. urophylla × E. tereticornis hybrids.

Rapid Independent Trait Evolution despite a Strong Pleiotropic Genetic Correlation

Genetic correlations are the most commonly studied of all potential constraints on adaptive evolution. We present a comprehensive test of constraints caused by genetic correlation, comparing empirical results to predictions from theory. The additive genetic correlation between the filament and the corolla tube in wild radish flowers is very high in magnitude, is estimated with good precision (0.85 ± 0.06), and is caused by pleiotropy. Thus, evolutionary changes in the relative lengths of these two traits should be constrained. Still, artificial selection produced rapid evolution of these traits in opposite directions, so that in one replicate relative to controls, the difference between them increased by six standard deviations in only nine generations. This would result in a 54% increase in relative fitness on the basis of a previous estimate of natural selection in this population, and it would produce the phenotypes found in the most extreme species in the family Brassicaceae in less than 100 generations. These responses were within theoretical expectations and were much slower than if the genetic correlation was zero; thus, there was evidence for constraint. These results, coupled with comparable results from other species, show that evolution can be rapid despite the constraints caused by genetic correlations.

QTL mapping for sexually dimorphic fitness-related traits in wild bighorn sheep

Dissecting the genetic architecture of fitness-related traits in wild populations is key to understanding evolution and the mechanisms maintaining adaptive genetic variation. We took advantage of a recently developed genetic linkage map and phenotypic information from wild pedigreed individuals from Ram Mountain, Alberta, Canada, to study the genetic architecture of ecologically important traits (horn volume, length, base circumference and body mass) in bighorn sheep. In addition to estimating sex-specific and cross-sex quantitative genetic parameters, we tested for the presence of quantitative trait loci (QTLs), colocalization of QTLs between bighorn sheep and domestic sheep, and sex × QTL interactions. All traits showed significant additive genetic variance and genetic correlations tended to be positive. Linkage analysis based on 241 microsatellite loci typed in 310 pedigreed animals resulted in no significant and five suggestive QTLs (four for horn dimension on chromosomes 1, 18 and 23, and one for body mass on chromosome 26) using genome-wide significance thresholds (Logarithm of odds (LOD) >3.31 and >1.88, respectively). We also confirmed the presence of a horn dimension QTL in bighorn sheep at the only position known to contain a similar QTL in domestic sheep (on chromosome 10 near the horns locus; nominal P<0.01) and highlighted a number of regions potentially containing weight-related QTLs in both species. As expected for sexually dimorphic traits involved in male-male combat, loci with sex-specific effects were detected. This study lays the foundation for future work on adaptive genetic variation and the evolutionary dynamics of sexually dimorphic traits in bighorn sheep.

Heterogeneity of linalool chemotypes of Lippia alba (Mill.) N.E.Br., based on clonal half-sib progenies

Lippia alba (Mill.) N.E.Br. is an aromatic and medicinal shrub native to the American continent. Despite its potential as a source of essential oil for the pharmaceutical and cosmetics industries, few selection and genetic improvement studies have been carried out. The aim of this study was to provide genetic information on this species for breeding programs, showing its selection potential, by investigating clonal half-sib progenies. The following characteristics were evaluated per plant: leaf dry mass (LDM), total dry mass (TDM), leaf yield (LY), essential oil yield (EOY) and oil production (OP). Estimates were made for the several genetic parameters including absolute genetic gain at 30% selection intensity, correlations and relative contribution of additive and environmental effects to phenotypic correlation. Two experimental trials on 30 progenies were conducted: one in Campinas, state of São Paulo (SP), Brazil, with two harvests of the aerial part, and one in Monte Alegre do Sul, SP, Brazil, with only one harvest. The trials were conducted in a randomized block design consisting of subplots with three replications, each plot (progeny) consisting of 8 to 15 clonally-replicated plants with subplot harvesting. Variations were detected between progenies and harvests, as well as progeny/harvest interactions in the split plot experiment. High heritability and genetic gains were obtained at both sites for LDM, TDM and OP. The lowest variations among progenies were obtained for LY and EOY, highlighting selection problems. Negative additive genetic correlations were obtained for EOY × LDM, EOY × TDM, LY × TDM and LY × LDM. Selection for LDM resulted in increased oil production per plant (OP), even where there was a negative correlation between LDM × EOY.

Genetic and environmental dispersion parameter estimation by test interval method in dairy sheep

Genetic and environmental parameters for 38 983 test-day records of daily milk yield (DMY), fat (FC) and protein (PC) content, collected between 1994 and 2002, were estimated on 3,068 dairy ewes of the three Slovenian breeds. A multivariate restricted maximum likelihood method was used for estimation, where every test-day record was treated as a different trait. Fixed part of the multitrait animal model for DMY, FC, and PC included breed and lambing season as classes, while stage of lactation, parity, and litter size were covariates. Random part of the model contained additive genetic effect and the effects of flock test month and permanent environment over lactations. Heritability estimates for individual test-days were between 0.10 and 0.23 for DMY, 0.09 and 0.18 for FC, and 0.19 and 0.28 for PC. The flock test month effect explained most of the phenotypic variance: 0.18 to 0.41 for DMY, 0.26 to 0.45 for FC, and 0.24 to 0.44 for PC. A lower variance ratio was explained by the permanent environment effect over lactations: 0.09 to 0.15 for DMY, 0.02 to 0.11 for FC, and 0.02 to 0.09 for PC. Additive genetic correlations between individual test-days were high in all three milk traits for adjacent months of lactation. They decreased when the interval between months of lactation increased. The structure of additive genetic correlations showed that the observed milk traits in the different stages of lactation were genetically not the same trait, since the correlations between distant months of lactation were lower than one.