A novel Horizontal model is presented for multitrait analysis of longitudinal traits through random regression analysis combined with single recorded traits. Weekly ADFI on test for Danish Duroc, Landrace, and Yorkshire boars were available from the national test station and were collected from 30 to 100 kg BW. Single recorded production traits of ADG from birth to 30 kg BW (ADG30), ADG from 30 to 100 kg BW (ADG100), and lean meat percentage (LMP) were available from breeding herds or the national test station. The Horizontal model combined random regression analysis of feed intake (FI) with single recorded traits of ADG100, LMP, and ADG30. In the Horizontal model, the FI data were horizontally structured with FI on each week as a "trait." The additive genetic and litter effects were modeled to be common across different FI records by reducing the rank of the covariance matrices using second- and first-order Legendre polynomials of age on test, respectively. The fixed effect and random residual variance were estimated for each weekly FI trait. Residual feed intake (RFI) was derived from the conditional distribution of FI given the breeding values of ADG100 and LMP. The heritability of FI varied by week on test in Duroc (0.12 to 0.19), Landrace (0.13 to 0.22), and Yorkshire (0.21 to 0.23). The heritability of RFI was lowest and highest in wk 6 (0.03) and 10 (0.10), respectively, in Duroc and wk 7 (0.04 and 0.02) and 1 (0.09 and 0.20), respectively, in Landrace and Yorkshire. The proportion of FI genetic variance explained by RFI ranged from 20 to 75% in Duroc, from 19 to 75% in Landrace, and from 11 to 91% in Yorkshire. Average daily gain from 30 to 100 kg BW and ADG30 heritabilities were moderate in Duroc (0.24 and 0.22, respectively), Landrace (0.34 and 0.25, respectively), and Yorkshire (0.34 and 0.22, respectively). Lean meat percentage heritability was moderate in Duroc (0.37) and large in Landrace (0.62) and Yorkshire (0.60). The genetic correlation of FI with ADG100 increased by week on test followed by a 32% decrease from wk 7 in Duroc and a 7% decrease in dam line breeds. Defining RFI as genetically independent of production traits leads to consistent and easy interpretable breeding values. The genetic parameters of traits in the feed efficiency complex and their dynamics over the test period showed breed differences that could be related to the fatness and growth potential of the breeds. The Horizontal model can be used to simultaneously analyze repeated and single recorded traits through proper modeling of the environmental variances and covariances.

Cholesterol is a ubiquitous steroid and a vital component of cellular membranes in vertebrates. At the same time, subendothelial deposition of cholesterol and other lipoproteins is the culprit of atherosclerotic lesions leading to a range of cardiovascular diseases which together represent the most frequent causes of death in the industrialized world. The balance between plasma levels of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) is critical for disease development. A high level of LDL-C is atherogenic whereas a high level of HDL-C is cardio protective. Heritability of LDL-C and HDL-C levels in humans are estimated to be up to 70%. However, loci identified by large-scale genome-wide screens in humans explain only a small fraction of the genetic variation. Few GWAS and QTL mapping studies have been performed in mice to identify loci affecting blood lipid levels. More often, spontaneous dyslipidemic and genetically engineered mice models have been used to study the effect of dyslipidemia associated genes identified in human GWAS studies. Here we employ the pig as a full size animal model for atherosclerosis. The pig has a close similarity to humans in physiology, organ development and disease progression. We have established F2 pedigrees using Göttingen Minipig as the parental boar line and Duroc and Yorkshire as parental sow lines. Whereas Duroc and Yorkshire represent lean, fast growing production breeds, the Göttingen Minipig is an obesity prone pig breed often used in studies of obesity, diabetes and metabolic syndrome. Levels of LDL-C, HDL-C and several other blood lipids were measured at two age points in a total of 564 F2 animals. GWAS, LD and haplotype analyses identified seven loci with effect on different blood lipid levels. Five of these loci are clustered in a 12 Mb region on chromosome 3. Interestingly, the haplotypes associated with an atherosclerosis protective blood lipid profile are in general found to originate from the Göttingen Minipig.

Genetic evaluations of sport performance typically consider competition records of ranking points in each competition, accumulated lifetime points or annual earnings. Repeated observations have the advantage of allowing for adjustment of effects associated with each competition such as rider experience, judge and competing horses, but also demands more computer capacity than single-trait records, which could prohibit multiple-trait evaluations. The aim of the study was to compare CPU times, estimated breeding values (EBVs), reliabilities and model prediction abilities when modelling repeated competition ranking points (run A), mean ranking points (runs B and C), mean ranking points precorrected for effects associated with each competition (run D) and accumulated lifetime points (run E) for Danish Warmblood horses. CPU times for run A were 632-776 times (show jumping) and 59-96 times (dressage) as high as for runs B-E. EBVs of run D were perfectly correlated (1.00) with those of run A. Reliabilities were highest in runs E and A. Best model prediction ability and least bias were found in run C (dressage) and run E (show jumping), but the best choice in each discipline was not preferable for the other. Run D was the second best in both disciplines (D), and is expected to increase in performance over time as omission of a relatively large amount of historic data becomes less important.

The study aim was to investigate the usefulness of different longevity measures in Danish show jumping horses as well as potential early indicator traits for longevity in jumping. The analyses comprised jumping competition data from 9592 horses born during 1981 to 1994, 30,435 young horse records, and their pedigree. Genetic parameters and breeding values were estimated using AI-REML and mixed models including fixed effects of birth year, age at first placing, sex and number of offspring. Four longevity traits were investigated: no. years in competition from first to last entry (NYC), no. active years in competition i.e. only years with a registered start/placing (NAY), NAY plus no. foals carried to term by mares (NAYF), and accumulated lifetime points (LDP) combining longevity and competition success. Longevity defined as NAY was found most useful for the Danish Warmblood. The heritability of NAY was 0.11. Young horse jumping traits had moderate to high genetic correlation with longevity (rg: 0.51–0.74) and highest value as indicator trait among young horse traits (rg×rIA: 0.23–0.44). Conformation had lower informative value for longevity (highest |rg×rIA| was 0.10). Including information of young horse capacity and rideability during jumping in a multivariate analysis increased the accuracy of NAY breeding values of younger horses from 0.32 to 0.49 and increased model predictive ability compared to a univariate longevity evaluation.

Abstract Our aim was to investigate whether four fertility traits were different in herds using the activity tag Heatime for reproduction management compared within other herds. The genetic parameters were estimated using animal models. The fertility traits were number of inseminations (NINS), interval from first to last insemination (IFL), age at first insemination (AFI), and age at first calving (AFC) in Danish Holstein heifers. The means of the traits were all significantly different between the two groups of herds. Heritabilities for NINS and IFL were lower than 1%, while heritabilities for AFI and AFC were 12–29%. Heritabilities were all lower in Heatime herds than in reference herds. The genetic correlations between traits in different environments were high for NINS, AFI, and AFC (>0.88), while the correlation for IFL was 0.68 but with a higher SE (0.313). Thus, IFL seems not to be the same trait in Heatime and reference herds.

Residual feed intake (RFI) is commonly used as a measure of feed efficiency at a given level of production. A total of 16,872 pigs with their pedigree traced back as far as possible was used to estimate genetic parameters for RFI, growth performance, food conversion ratio (FCR), body conformation, and feeding behavior traits in 3 Danish breeds [Duroc (DD), Landrace (LL), and Yorkshire (YY)]. Two measures of RFI were considered: residual feed intake 1 (RFI1) was calculated based on regression of daily feed intake (DFI) from 30 to 100 kg on initial test weight and ADG from 30 to 100 kg (ADG2). Residual feed intake 2 (RFI2) was as RFI1, except it was also regressed with respect to backfat (BF). The estimated heritabilities for RFI1 and RFI2 were 0.34 and 0.38 in DD, 0.34 and 0.36 in LL, and 0.39 and 0.40 in YY, respectively. The heritabilities ranged from 0.32 (DD) to 0.54 (LL) for ADG2, from 0.54 (DD) to 0.67 (LL) for BF, and from 0.13 (DD) to 0.19 (YY) for body conformation. Feeding behavior traits including DFI, number of visits to feeder per day (NVD), total time spent eating per day (TPD), feed intake rate (FR), feed intake per visit (FPV), and time spent eating per visit (TPV) were moderately to highly heritable. Residual feed intake 2 was genetically independent of ADG2 and BF in all breeds, except it had low genetic correlation to ADG2 in YY (0.2). Residual feed intake 1 was also genetically independent of ADG2 in DD and LL. Both RFI traits had strong genetic correlations with DFI (0.85 to 0.96) and FCR (0.76 to 0.99). They had low or no genetic correlations with feeding behavior traits. Unfavorable genetic correlations were found between ADG2 and both BF and DFI. Among feeding behavior traits, DFI had low genetic correlations to other traits in all breeds. High and negative genetic correlations were also found between TPD with FR (-0.79 in YY to -0.88 in DD), NVD, and TPD (-0.91 in DD to -0.94 in YY) and between NVD and FPV (-0.83 in DD to -0.91 in YY) in all breeds. The genetic trend for feed efficiency was favorable in all breeds regardless of the definition of feed efficiency used. In summary, RFI1 and RFI2 were heritable and selection for reduced RFI2 can be performed without adversely affecting ADG and BF and could replace FCR in the selection index for the Danish pig breeds. Selection could also be based on RFI1 for breeds with fewer concerns about a negative effect of BF or for breeds that do not have BF records.

In a recent study we confirmed that QTL regions on pig chromosomes 11, 13, and 15 are associated with reproduction traits in the pig. Within these regions the genetic variation was largest on chromosome 13. The QTL region on this chromosome was therefore studied further to identify genes known to contribute to litter size. The superoxide dismutase (SOD1) gene localized at around 200 Mb in the pig (Sscrofa10) was the most obvious candidate gene. In the present study, we have cloned and sequenced the porcine SOD1 gene. The SOD1 amino acid sequence is highly conserved between human, mouse, rat, and pig. Expression studies by quantitative PCR showed differential levels of the SOD1 transcript in all tissues investigated. Sequence comparison between sows with high and low estimated breeding value (EBV) for litter size, revealed a total of eight single nucleotide polymorphisms (SNPs) in the noncoding sequence and no SNPs in the coding region. One of the intronic SNPs was genotyped in 248 sows with high and low EBV for litter size. Allele frequency differed significantly between the two group of sows indicating that polymorphism in the chromosome 13 locus has an impact on litter size. The sows homozygous for the A/A genotype conceive three piglets more compared to the A/T genotype, making this SNP a possible marker for litter size. However, this genotype was negatively correlated with other important traits under selection in the Danish pig production.

Concerns have been raised regarding selection against the boar taint compounds, androstenone and skatole, due to potential unfavorable genetic correlations with important male fertility traits (i.e., selection of boars with low levels of these boar taint compounds might also reduce male fertility). Hence, the objective of this investigation was to study the genetic association between direct measures of male fertility and the boar taint compounds in Danish Landrace pigs. Concentrations of skatole and androstenone in the back fat were available for approximately 6,000 and 1,000 Landrace boars, respectively. The litter size traits, such as total number born, live piglets at d 5, and piglet survival until d 5 on relatives of the slaughter boars, were extracted from the Danish Landrace breeding program, yielding 35,715 records. Semen volume, sperm concentration, subjective sperm quality score, and total number of sperm were available from 95,267 ejaculates. These ejaculates were collected between 2005 and 2012 and originated from 3,145 Landrace boars from 12 AI stations in Denmark. The traits were analyzed using single and multitrait animal models including univariate random regression models. Skatole and androstenone concentrations were moderate to highly heritable (i.e., 0.33 and 0.59, respectively). The genetic correlation between the two compounds was moderate (0.40). Genetic variance of sperm production per ejaculate increased during the productive life of the boar, resulting in heritability estimates increasing from 0.18 to 0.31. Genetic correlations between sperm production per ejaculate at different ages were high and generally larger than 0.8, indicating that later genetic merit can be predicted from records at an early age. The heritability (based on service-sire genetic component) of both total number of piglets born and survival to d 5 were 0.02, and the correlation between these effects and the additive genetic effect on boar taint ranged from 0.05 to -0.40 (none of these correlations were significantly different from zero). Most importantly, the genetic correlations between skatole and androstenone and the different semen traits tended to be more favorable with increase in age of the boars. In conclusion, these data suggest that concentrations of skatole and androstenone can be reduced through genetic selection without negatively affecting important male fertility traits in Danish Landrace pigs.

Boar taint is an offensive odor that affects the smell and taste of cooked pork, resulting mainly from the accumulation of skatole and androstenone in the back fat of intact males. The aim of the study was to estimate genetic parameters for skatole and androstenone and their genetic relationship to production and litter size traits. Concentrations of skatole and androstenone in the back fat were available for approximately 6,000 and 1,000 Landrace boars, respectively. The concentrations were log-transformed to align phenotypic measures to a normal distribution. Heritability estimates for Log(skatole) and Log(androstenone) were 0.33 and 0.59, respectively. The genetic correlation between the 2 measures of boar taint was 0.37, suggesting that genetic selection against boar taint based on only 1 of the chemical compounds could be insufficient. The boar taint compounds had low and mostly favorable genetic correlations with the production traits. Most noticeable, a favorable genetic correlation of -0.20 between meat percentage and Log(skatole) was estimated and hence continued selection for lean pigs can also slowly reduce the level of boar taint if the desired carcass weight is kept constant. The relationship between litter size traits (measured on sows related to boars) and boar taint compounds was low and not significantly different from 0. In conclusion, skatole and androstenone can be reduced through selection without affecting important economical production and litter size traits. Therefore, animal breeding offers an effective and sustainable solution to surgical castration of male piglets.

The objectives of this study were 1) to estimate costs related to 5 different pathogen-specific mastitis traits (susceptibility to different pathogens causing mastitis in dairy cattle) and unspecific mastitis, and 2) to compare selection differentials for an udder health index consisting of 5 different pathogen-specific mastitis traits and lactation average somatic cell count from 5 to 170 d after first calving (LASCC170) with another index consisting of 1 unspecific mastitis trait and LASCC170. Economic values were estimated for mastitis caused by Staphylococcus aureus, Streptococcus dysgalactiae, Escherichia coli, coagulase-negative staphylococci, and Streptococcus uberis using a stochastic simulation model (SimHerd IV). Mastitis incidences for SimHerd IV were from incidences of mastitis treatments in primiparous Danish Holstein cows calving in 2007. Estimated costs ranged from 149 euro to 570 euro per mastitis case and were highest for contagious pathogens such as Staph. aureus and coagulase-negative staphylococci and lowest for Strep. dysgalactiae and Strep. uberis. The value for unspecific mastitis was 231 euro per case. Selection differentials (in euro) were estimated for 4 different selection indices, including 1) unspecific mastitis, 2) unspecific mastitis and LASCC170, 3) 5 pathogen-specific mastitis traits and unspecific residual mastitis (unspecific mastitis treatments minus mastitis treatments caused by the 5 pathogens), and 4) as index 3 including LASCC170. The breeding goal was identical to selection index 3. Mastitis data from primiparous cows calving from 1998 to 2008 were used to estimate genetic parameters of the mastitis traits using linear models and AI-REML algorithm. These parameters were used for construction of the selection index equations. For the selection indices, information sources were measurements of mastitis treatments and LASCC170 from 50, 80, or 130 daughters of a bull as well as measurements of mastitis treatments from 1,000 progeny of the bull's sire and 1,000 daughters of his maternal grandsire. Differences in selection differentials were marginal among the 4 indices. Without considering LASCC170, the selection differential of an unspecific mastitis index was 0.4 euro (<1%) better than that of a pathogen-specific index. On the other hand, the selection differential of the pathogen-specific index was 0.3 euro (<1%) better than that of an unspecific index when LASCC170 was included in the indices. Reliabilities of the selection indices were 0.62 to 0.67 (80 daughters) and were proportional to the selection differential. Changing the number of daughters to 50 or 130 did not change ranking of the indices. Heritabilities of the pathogen-specific traits were very low (h(2)=0.005-0.021) compared with unspecific mastitis (h(2)=0.062), which may limit the selection differential of the pathogen-specific index.

The aim of this paper is to discuss the potential consequences of modern dairy cattle breeding for the welfare of dairy cows. The paper focuses on so-called genomic selection, which deploys thousands of genetic markers to estimate breeding values. The discussion should help to structure the thoughts of breeders and other stakeholders on how to best make use of genomic breeding in the future. Intensive breeding has played a major role in securing dramatic increases in milk yield since the Second World War. Until recently, the main focus in dairy cattle breeding was on production traits, but during the past couple of decades more emphasis has been placed on a few rough, but useful, measures of traits relevant to cow welfare, including calving ease score and 'clinical disease or not'; the aim being to counteract the unfavourable genetic association with production traits. However, unfavourable genetic trends for metabolic, reproductive, claw and leg diseases indicate that these attempts have been insufficient. Today, novel genome-wide sequencing techniques are revolutionising dairy cattle breeding; these enable genetic changes to occur at least twice as rapidly as previously. While these new genomic tools are especially useful for traits relating to animal welfare that are difficult to improve using traditional breeding tools, they may also facilitate breeding schemes with reduced generation intervals carrying a higher risk of unwanted side-effects on animal welfare. In this paper, a number of potential risks are discussed, including detrimental genetic trends for non-measured welfare traits, the increased chance of spreading unfavourable mutations, reduced sharing of information arising from concerns over patents, and an increased monopoly within dairy cattle breeding that may make it less accountable to the concern of private farmers for the welfare of their animals. It is argued that there is a need to mobilise a wide range of stakeholders to monitor developments and maintain pressure on breeding companies so that they are aware of the need to take precautionary measures to avoid negative effects on animal welfare and to invest in breeding for increased animal welfare. Researchers are encouraged to further investigate the long-term effects of various breeding schemes that rely on genomic breeding values.

Selection for increased litter size has been one of the main objectives in Danish pig breeding since 1992. This selection has led to an average increase of 0.30 piglets/litter per year for Landrace and Yorkshire sows, resulting in an average litter size of 15.3 piglets born alive in 2007, with an SD of 3.5 piglets. The objective of this study was to investigate differences in identity by state relationships and allele effects associated with litter size across 17 selected microsatellite marker positions on chromosomes 11, 13, and 15. For this purpose, 357 Danish Landrace sows with high and low EBV for litter size were genotyped. An assignment test showed that 91 and 90% of the sows could be assigned correctly to the group of sows representing high and low EBV, respectively, based on genotype information. Allele effects were estimated separately for each marker by using deregressed EBV and a linear model that include both a polygenic and an allele effect. The investigated region on chromosome 13 was found to have a greater average identity by state relationship compared with the other regions, indicating that selection has taken place in this region. This is supported by an increased average allele effect of microsatellite alleles in the region. In spite of the apparent increased historical selection pressure on chromosome 13, fairly large variation in allele effects was observed, indicating that the markers within the region may be used for marker-assisted selection. However, substantial variation in allele effects was observed for several markers on all 3 investigated chromosomes, indicating that selection should preferably be based on several markers.

The objective of this study was to estimate heritabilities for and genetic correlations among different pathogen-specific mastitis traits. The traits were unspecific mastitis, which is all mastitis treatments regardless of the causative pathogen as well as mastitis caused by Streptococcus dysgalactiae, Escherichia coli, coagulase-negative staphylococci (CNS), Staphylococcus aureus and Streptococcus uberis. Also groups of pathogens were investigated, Gram-negative v. Gram-positive and contagious v. environmental pathogens. Data from 168 158 Danish Holstein cows calving first time between 1998 and 2006 were used in the analyses. Variances and covariances were estimated using uni- and bivariate threshold models via Gibbs sampling. Posterior means of heritabilities of pathogen-specific mastitis were lower than the heritability of unspecific mastitis, ranging from 0.035 to 0.076 for S. aureus and S. uberis, respectively. The heritabilities of groups of pathogen ranged from 0.053 to 0.087. Genetic correlations among the pathogen-specific mastitis traits ranged from 0.45 to 0.77. These estimates tended to be lowest for bacteria eliciting very different immune responses, which can be considered as the overall pleiotropic effect of genes affecting resistance to a specific pathogen, and highest for bacteria sharing characteristics regarding immune response. The genetic correlations between the groups of pathogens were high, 0.73 and 0.83. Results showed that the pathogen-specific traits used in this study should be considered as different traits. Genetic evaluation for pathogen-specific mastitis resistance may be beneficial despite lower heritabilities than unspecific mastitis because a pathogen-specific mastitis trait is a direct measure of an udder infection, and because the cost of a mastitis case caused by different pathogens has been shown to differ greatly. Sampling bias may be present because there were not pathogen information on all mastitis treatments and because some farms do not record pathogen information. Therefore, improved recording of pathogen information and mastitis treatments in general is critical for a successful genetic evaluation of udder health. Also, economic values have to be specified for each pathogen-specific trait separately.

The aim of this study was to estimate genetic correlations (ra) between 2 lactation average somatic cell count (LASCC) traits and 6 different mastitis traits in 226,482 first-parity Danish Holstein cows that calved between 1998 and 2008. The LASCC traits were defined from 5 to either 170 d (LASCC_170) or 300 d (LASCC_300) after calving, and the mastitis traits were unspecific mastitis (all mastitis treatments, both clinical and subclinical, regardless of the causative pathogen) and mastitis caused by either Streptococcus dysgalactiae, Escherichia coli, coagulase-negative staphylococci (CNS), Staphylococcus aureus, or Streptococcus uberis. Variance components were estimated using bivariate threshold-Gaussian models via Gibbs sampling. The posterior means of ra between LASCC_170 and the mastitis traits were greatest for unspecific mastitis (ra = 0.71), followed by CNS, Strep. dysgalactiae, Strep. uberis, and E. coli (ra = 0.54 to 0.69) and were lowest for Staph. aureus mastitis (ra = 0.44). The genetic correlation between LASCC_300 and the mastitis traits were generally smaller (ra = 0.47 to 0.69). Caution should be taken when interpreting the results, however, because some posterior density intervals for ra were large (between 0.14 and 0.47 units). Phenotypically, Staph. aureus is known to be associated with high SCC and especially with subclinical mastitis through chronic infections, so the low ra between Staph. aureus mastitis and LASCC, compared with ra for the other pathogens, was not expected. Subclinical cases are usually submitted to dry cow therapy (not included in the present study), not treated at all, or wrongly recorded as clinical cases. Thus, the incidence of Staph. aureus mastitis is likely too low, and the genetic correlation between Staph. aureus mastitis and LASCC may therefore be underestimated in the present study. The results for the remaining pathogens were as expected, smallest for E. coli and larger but similar for Strep. dysgalactiae, Strep. uberis, and CNS. Selection for lower LASCC is expected to decrease the incidence of pathogen-specific mastitis, especially for Strep. uberis, Strep. dysgalactiae, and CNS and, to a lesser extent, for Staph. aureus and E. coli. Data recording should preferably be improved, and economic weights for the pathogen-specific mastitis traits should be estimated before implementing an udder health index that includes pathogen-specific mastitis traits.

The purpose of this study was to estimate the genetic correlations among claw and leg health and potential indicator traits. Claw health was defined as absence of heel horn erosion, interdigital dermatitis, interdigital phlegmon, interdigital hyperplasia, laminitis, and sole ulcer. Leg health was defined as absence of hock infection, swollen hock, and bruising. The potential indicators were locomotion and foot and leg conformation, represented by rear leg side view, rear leg rear view, foot angle, and apparent hock quality and bone structure. The study was conducted using records from 429,877 Danish Holstein cows in first lactation. Binary health traits were divided into 3 subcategories: claw health, leg health, and absence of all claw and leg disorders. Genetic (rg) and phenotypic correlations were estimated using a bivariate linear sire model and REML. Estimated heritabilities were 0.01 for all 3 combined claw and leg health traits (on the observed binary scale), 0.09 for locomotion, 0.14 for rear leg rear view, 0.19 for rear leg side view, 0.13 for foot angle, 0.22 for apparent hock quality, and 0.27 for apparent bone structure. Heritabilities were 0.06 and 0.01 for claw health and leg health, respectively, when transformed to the underlying continuous scale. Claw and leg disorders are an increasing problem for Danish Holsteins, but genetic improvement of claw and leg health is challenging because the traits have low heritabilities. Claw and leg health were separate but correlated traits (rg=0.35). Locomotion and rear leg rear view were useful indicator traits for claw health (rg=0.46 and rg=0.21, respectively), whereas hock quality and bone structure were useful indicators for leg health (rg=0.42 and 0.26, respectively). Claw and leg health should be considered as separate traits in genetic evaluations that also include the useful indicator traits to compensate for low heritability of the health traits.

A total of 30,190 first-parity Danish Holstein cows housed in free stalls or tie stalls were analyzed to quantify to what degree genotype by housing interaction existed for 21 conformation and 2 workability traits. Each trait measured in different housing systems was treated as 2 separate traits in a bivariate animal model. Genetic correlations between the 2 traits as well as differences in genetic and residual variance were used as measurements of whether or not genotype by housing interaction occurred. Genetic correlations were in general close to unity (>0.9), except for body width (0.87 +/- 0.06). Genetic variance was greater (22% on average) for all traits except 2, whereas residual variance was greater for feet and leg traits and lower for body and udder traits when measured in tie-stall environments for nearly all traits. In total, this led to a greater heritability for traits measured in tie-stall barns. Conformation and workability traits measured in free stalls and tie stalls should not be considered as different traits when predicting breeding values, but heterogeneous variance could be accounted for.

Lateral flow methods have been developed for the quantitative detection of mycotoxins. The method for aflatoxin detection (5100 ppb) in corn has received GIPSA approval. The general procedure is as follows: (i) ground sample is extracted with solvent; (ii) 100 mu L portion of extract is added to I mL dilution buffer; (iii) 300 mu L portion of the diluted extract is added to a lateral flow test strip; (iv) test strip is incubated for 10 min at 45 degrees C and (v) reflectance reader provides a numerical result from 0 to 150 ppb by comparing the binding intensities of 2 test lines and control line. A quantitative method for zearalenone (50-1000 ppb) in corn also has received GIPSA approval. Initial in-house data are available on quantitative lateral flow methods for the detection of deoxynivalenol in wheat and ochratoxin A in wine and grape juice.