Efforts to improve dairy production in smallholder farming systems of East Africa over the past decade have had limited impact because of the lack of records on performance to guide targeted breeding programs. Estimates of genetic parameters in these systems are lacking. Using data generated through a project (“Germplasm for Dairy Development in East Africa”) in Kenya and a genomic relationship matrix from genotypic records, we examined the potential impact of different models handling contemporary groups or herd effects on estimates of genetic parameters using a fixed regression model (FRM) for test-day (TD) milk yields, and the covariance structure for TD milk yield at various stages of lactation for animals using a random regression model (RRM). Models in which herd groups were defined using production levels derived from the data fitted the data better than those in which herds were grouped depending on management practices or were random. Lactation curves obtained for animals under different production categories did not display the typical peak yield characteristic of improved dairy systems in developed countries. Heritability estimates for TD milk yields using the FRM varied greatly with the definition of contemporary herd groups, ranging from 0.05 ± 0.03 to 0.27 ± 0.05 (mean ± standard error). The analysis using the RRM fitted the data better than the FRM. The heritability estimates for specific TD yields obtained by the RRM were higher than those obtained by the FRM. Genetic correlations between TD yields were high and positive for measures within short consecutive intervals but decreased as the intervals between TD increased beyond 60 d and became negative with intervals of more than 5 mo. The magnitude of the genetic correlation estimates among TD records indicates that using TD milk records beyond a 60-d interval as repeated measures of the same trait for genetic evaluation of animals on smallholder farms would not be optimal. Although each individual smallholder farmer retains only a few animals, using the genomic relationship between animals to link the large number of farmers operating under specified environments provides a sufficiently large herd-group for which a breeding program could be developed.

Background: The genetic structure of a diverse set of 15 Indian indigenous breeds and non-descript indigenous cattle sampled from eight states was examined, based on 777 k single nucleotide polymorphism (SNP) genotypes obtained on 699 animals, with sample sizes ranging from 17 to 140 animals per breed. To date, this is the largest and most detailed assessment of the genetic diversity of Indian cattle breeds.

Results: Admixture analyses revealed that 109 of the indigenous animals analyzed had more than 1% Bos taurus admixture of relatively recent origin. Pure indigenous animals were defined as having more than 99% Bos indicus ancestry. Assessment of the genetic diversity within and between breeds using principal component analyses, F statistics, runs of homozygosity, the genomic relationship matrix, and maximum likelihood clustering based on allele frequencies revealed a low level of genetic diversity among the indigenous breeds compared to that of Bos taurus breeds. Correlations of SNP allele frequencies between breeds indicated that the genetic variation among the Bos indicus breeds was remarkably low. In addition, the variance in allele frequencies represented less than 1.5% between the Indian indigenous breeds compared to about 40% between Bos taurus dairy breeds. Effective population sizes (N_e) increased during a period post-domestication, notably for Ongole cattle, and then declined during the last 100 generations. Although we found that most of the identified runs of homozygosity are short in the Indian indigenous breeds, indicating no recent inbreeding, the high F_ROH coefficients and low F_IS values point towards small population sizes. Nonetheless, the N_e of the Indian indigenous breeds is currently still larger than that of Bos taurus dairy breeds.

Conclusions: The changes in the estimates of effective population size are consistent with domestication from a large native population followed by consolidation into breeds with a more limited population size. The surprisingly low genetic diversity among Indian indigenous cattle breeds might be due to their large N_e since their domestication, which started to decline only 100 generations ago, compared to approximately 250 to 500 generations for Bos taurus dairy cattle.

The International Society for Animal Genetics (ISAG) proposed a panel of single nucleotide polymorphisms (SNPs) for parentage testing in cattle (a core panel of 100 SNPs and an additional list of 100 SNPs). However, markers specific to East Asian taurine cattle breeds were not included, and no information is available as to whether the ISAG panel performs adequately for these breeds. We tested ISAG's core (100 SNP) and full (200 SNP) panels on two East Asian taurine breeds: the Korean Hanwoo and the Japanese Wagyu, the latter from the Australian herd. Even though the power of exclusion was high at 0.99 for both ISAG panels, the core panel performed poorly with 3.01% false-positive assignments in the Hanwoo population and 3.57% in the Wagyu. The full ISAG panel identified all sire-offspring relations correctly in both populations with 0.02% of relations wrongly excluded in the Hanwoo population. Based on these results, we created and tested two population-specific marker panels: one for the Wagyu population, which showed no false-positive assignments with either 100 or 200 SNPs, and a second panel for the Hanwoo, which still had some false-positive assignments with 100 SNPs but no false positives using 200 SNPs. In conclusion, for parentage assignment in East Asian cattle breeds, only the full ISAG panel is adequate for parentage testing. If fewer markers should be used, it is advisable to use population-specific markers rather than the ISAG panel.

We present results from a genomewide association study (GWAS) and a single-marker association study. The GWAS was performed with the Illumina PorcineSNP60 BeadChip from which 5 markers were selected for a validation analysis. Genetic effects were estimated for feed intake, weight gain, and traits of fat and muscle tissue in German Landrace boars kept on performance test stations. The GWAS was performed in a population of 288 boars and the validation study for another 432 boars. No statistically significant effect was found in the GWAS after adjusting for multiple testing. Effects of 2 markers, which were significant genomewide before correction for multiple testing (P < 0.00005), could be confirmed in the validation study. The major allele of marker ALGA0056781 on SSC1 was positively associated with both higher weight gain and fat deposition. The effect on live-weight gain was 2.25 g/d in the GWAS (P=0.0003) and 3.73 g/d in the validation study (P=0.01) and for back fat thickness was 0.15 mm in the GWAS (P < 0.0001) and 0.20 mm in the validation study (P=0.02). The marker had similar effects on test-day weight gain (GWAS: 3.85 g/d, P=0.001; validation study: 6.80 g/d, P=0.003) and back fat area (GWAS: 0.27 ㎠ , P < 0.0001; validation study: 0.35 ㎠ , P=0.03). Marker ASGA0056782 on SSC13 was associated with live-weight gain. The major allele had negative effects in both studies (GWAS: -4.88 g/d, P < 0.0001; validation study: -3.75 g/d, P=0.02). The effects of these 2 markers would have been excluded based on the GWAS alone but were shown to be significantly trait associated in the validation study indicating a false-negative result. The G protein-coupled receptor 126 (GPR126) gene approximately 200 kb downstream of marker ALGA0001781 was shown to be associated with human height and therefore might explain the association with weight gain in pigs. Several traits were affected in an economically desired direction by the minor allele of the markers, pointing to the possibility of improvement through further selection.

African taurine cattle populations are widely distributed in humid and sub-humid zones of West and Central Africa. We assessed the genetic structure and differentiation within and across 8 African Bos taurus populations: 4 N’Dama populations (N’Dama, N’Dama1, N’Dama2, N’Dama3), Lagunaire, Lagune, Somba, and Baoule. A total of 38k autosomal SNPs were used for principal component analyses (PCA), estimation of pairwise FST values and within population heterozygosity (FIS), and neighbour-joining (NJ) tree construction. The first PC clearly differentiated Lagune and Lagunaire from N’Dama; PC2 separated Lagunaire, Lagune and one N’Dama population from the rest of taurine breeds; and PC3 separated N’Dama3 from Somba and Baoule. Estimates of pairwise FST values among the majority of populations ranged from 0.03 to 0.149, indicating low to moderate genetic differentiations, while a high genetic divergence between N’Dama3 and Lagune (FST =0.178), and N’Dama3 and Lagunaire (FST =0.168) was observed. No genetic subdivision was found between N’Dama and N’Dama1, and Lagune and Lagunaire. A higher heterozygosity (FIS value from -0.011 to 0.025) was found in N’Dama, N’Dama1, N’Dama2, Lagune, Lagunaire, and Baoule breeds. The NJ tree clearly separated Lagune and Lagunaire as well as Somba and Baoule with a 100% and around 31% bootstrap value, respectively, from the other taurine populations. We highlighted that African taurine populations are diverse and genetic differences between sampling locations exists even within a breed. Therefore, choice of an African taurine breed to anchor African indigenous breeds should be carefully considered.

Background: This study focused on the dynamics of genome-wide effects on five milk production and eight fertility traits as well as genetic correlations between the traits. For 2,405 Holstein Friesian bulls, estimated breeding values (EBVs) were used. The production traits were additionally assessed in 10-day intervals over the first 60 lactation days, as this stage is physiologically the most crucial time in milk production. Results: SNPs significantly affecting the EBVs of the production traits could be separated into three groups according to the development of the size of allele effects over time: 1) increasing effects for all traits; 2) decreasing effects for all traits; and 3) increasing effects for all traits except fat yield. Most of the significant markers were found within 22 haplotypes spanning on average 135,338 bp. The DGAT1 region showed high density of significant markers, and thus, haplotype blocks. Further functional candidate genes are proposed for haplotype blocks of significant SNPs (KLHL8, SICLEC12, AGPAT6 and NID1). Negative genetic correlations were found between yield and fertility traits, whilst content traits showed positive correlations with some fertility traits. Genetic correlations became stronger with progressing lactation. When correlations were estimated within genotype classes, correlations were on average 0.1 units weaker between production and fertility traits when the yield increasing allele was present in the genotype. Conclusions: This study provides insight into the expression of genetic effects during early lactation and suggests possible biological explanations for the presented time-dependent effects. Even though only three markers were found with effects on fertility, the direction of genetic correlations within genotype classes between production and fertility traits suggests that alleles increasing the milk production do not affect fertility in a more negative way compared to the decreasing allele.

The aim of the present study was to test the effect of Enterococcus faecium NCIMB 10415 (E. faecium) on CD4+ T helper immune cell subpopulations and CD25+ cells in ileal lymphatic tissue after challenge with Salmonella (S.) Typhimurium DT 104. German Landrace piglets treated with E. faecium (n = 16) as a feed additive and untreated controls (n = 16) were challenged with S. Typhimurium 10 days after weaning. The expression of lineage specific T helper cell subtype master transcription factors on mRNA level was measured in the whole tissue of the gut associated lymphoid tissues (ileocecal mesenteric lymph node, ileum with Peyer’s patches and papilla ilealis) and in magnetically sorted T helper cells from blood and ileocecal mesenteric lymph nodes at two and 28 days post infection. CD25 protein expression of T helper cells was studied by flow cytometry in ileal Peyer’s patches, lymph nodes and blood. Distribution and morphology of CD25+ cells was demonstrated in situ by immunohistochemistry in paraffin embedded specimens of the ileum and the ileocecal mesenteric lymph nodes. The data provide evidence for a higher T helper 2 cell driven immune response in the control group compared to the E. faecium treated group (P < 0.05) in CD4+ magnetically sorted lymphocytes from the ileocecal mesenteric lymph nodes at two and 28 days post infection. We did not observe differences for CD25+ cells in immunohistochemistry and flow cytometry between E. faecium fed pigs and the control group, but provided a detailed description of the occurrence and morphology of these cells in the gut associate lymphoid tissues of piglets. In conclusion we suggest that (i) prolonged feeding with E. faecium can result in changes of the T helper cell response leading to a stronger infection with S. Typhimurium and (ii) that it is important to examine purified immune cells to be able to detect effects on T helper cell subpopulations.

Iranian cattle breeds are currently under-represented in studies regarding genetic variability and conservation effort even though they are settled in a region that is believed to be one of two ancient cattle domestication centres. This study provides first population genetic parameters for eight Iranian cattle breeds collected from across the entire country to highlight the necessity for conservation programs. High density genome-wide SNP chips were used. None of the Iranian breeds showed a decreased heterozygosity compared to outgroup breeds (Holstein, Jersey, and Brahman) and inbreeding coefficients were low. Nevertheless, estimated effective population sizes were <10 for the Mazandarani, Sarabi, and Kermani breeds and it is predicted that most of the genetic variability will be lost within 20-30 generations if no intervention measures are taken. Effective population size estimates varied between chromosomes with occasional extremely high values, especially for Najdi, Pars, and Kermani which have high proportions of indicine ancestry as represented by the Brahman outgroup.

Several studies have evaluated computational methods that infer the haplotypes from population genotype data in European cattle populations. However, little is known about how well they perform in African indigenous and crossbred populations. This study investigates: (1) global and local ancestry inference; (2) heterozygosity proportion estimation; and (3) genotype imputation in West African indigenous and crossbred cattle populations. Principal component analysis (PCA), ADMIXTURE, and LAMP-LD were used to analyse a medium-density single nucleotide polymorphism (SNP) dataset from Senegalese crossbred cattle. Reference SNP data of East and West African indigenous and crossbred cattle populations were used to investigate the accuracy of imputation from low to medium-density and from medium to high-density SNP datasets using Minimac v3. The first two principal components differentiated Bos indicus from European Bos taurus and African Bos taurus from other breeds. Irrespective of assuming two or three ancestral breeds for the Senegalese crossbreds, breed proportion estimates from ADMIXTURE and LAMP-LD showed a high correlation (r ≥ 0.981). The observed ancestral origin heterozygosity proportion in putative F1 crosses was close to the expected value of 1.0, and clearly differentiated F1 from all other crosses. The imputation accuracies (estimated as correlation) between imputed and the real data in crossbred animals ranged from 0.142 to 0.717 when imputing from low to medium-density, and from 0.478 to 0.899 for imputation from medium to high-density. The imputation accuracy was generally higher when the reference data came from the same geographical region as the target population, and when crossbred reference data was used to impute crossbred genotypes. The lowest imputation accuracies were observed for indigenous breed genotypes. This study shows that ancestral origin heterozygosity can be estimated with high accuracy and will be far superior to the use of observed individual heterozygosity for estimating heterosis in African crossbred populations. It was not possible to achieve high imputation accuracy in West African crossbred or indigenous populations based on reference data sets from East Africa, and population-specific genotyping with high-density SNP assays is required to improve imputation.