In the post-antibiotics era, prebiotics are proposed as alternatives to antibiotic growth promoters in poultry production. The goal of this study was to compare in ovo method of prebiotic delivery with in-water supplementation and with both methods combined (in ovo+in-water) in broiler chickens. Two trials were conducted. Trial 1 was carried out to optimize the doses of two prebiotics, DN (DiNovo®, extract of beta-glucans) and BI (Bi2tos, trans-galactooligosaccharides), for in ovo delivery. The estimated parameters were hatchability and bacteriological status of the newly hatched chicks. Prebiotics were dissolved in 0.2 ml of physiological saline, at the doses: 0.18, 0.88, 3.5 and 7.0 mg/embryo; control group (C) was injected in ovo with 0.2 ml of physiological saline. Trial 2 was conducted to evaluate effects of different prebiotics (DN, BI and raffinose family oligosaccharides (RFO)) delivered in ovo, in-water and in a combined way (in ovo+in-water) on broiler chickens performance. The results of the Trial 1 indicated that the optimal dose of DN and BI prebiotics delivered in ovo, that did not reduce chicks’ hatchability, was 0.88 mg/embryo (DN) and 3.5 mg/embryo (BI). Both prebiotics numerically increased number of lactobacilli and bifidobacteria in chicken feces (P>0.05). In Trial 2, all prebiotics (DN, BI and RFO) significantly increased BW gain compared with the C group (P<0.05), especially during the first 21 days of life. However, feed intake and feed conversion ratio were increased upon prebiotics delivery irrespective of method used. Injection of prebiotics in ovo combined with in-water supplementation did not express synergistic effects on broilers performance compared with in ovo injection only. Taken together, those results confirm that single in ovo prebiotics injection into the chicken embryo can successfully replace prolonged in-water supplementation post hatching.

Data on breeding management, breed and trait preference for pigs were collected from smallholder farmers in Kiambu and Kakamega Counties of Kenya. The production systems evaluated were semi-intensive and extensive and depicted varying pig production intensities, production objectives, pig performances as well as farmers’ breed and trait preferences. The perception of the importance of traits was evaluated to obtain a more balanced objective view on production and/or breeding objectives. The data collected were analysed through computation of indices, which represented a weighted average of all rankings of a particular trait. In the semi-intensive system, preference for performance traits such as size, growth rate and body weight, scored the same index (0.181), followed by the reproduction trait – prolificacy (0.161). In the extensive system, the indices for these traits were 0.187, 0.183, 0.163 and 0.106, respectively. Spearman's non-parametric rank correlations were calculated for ranking of traits of economic importance to indicate the directional effects and plausible trade-offs between traits. In the semi-intensive system, correlations were moderate between growth rate and both size and weight. In the extensive system, correlations were moderate for growth rate with both size and body weight. Appropriate breeds that suit the divergent production systems need to be identified and utilized based on performance and adaptability to ensure efficient resource use.

The imprinted insulin-like growth factor 2 gene (IGF2) encodes a fetal mitogenic hormone protein (IGF-II) and has previously been shown to be associated with performance in dairy cattle. In this study we assessed genotype-phenotype associations between four single nucleotide polymorphisms (SNPs) located within the bovine IGF2 locus on chromosome 29 and a range of performance traits related to milk production, animal growth and body size, fertility and progeny survival in 848 progeny-tested Irish Holstein-Friesian sires. Two of the four SNPs (rs42196909 and IGF2.g-3815A>G), which were in strong linkage disequilibrium (r2=0·995), were associated with milk yield (P⩽0·01) and milk protein yield (P⩽0·05); the rs42196901 SNP was also associated (P⩽0·05) with milk fat yield. Associations (P⩽0·05) with milk fat percentage and milk protein percentage were observed at the rs42196901 and IGF2.g-3815A>G SNPs, respectively. The rs42196909 and IGF2.g-3815A>G SNPs were also associated with progeny carcass conformation (P⩽0·05), while an association (P⩽0·01) with progeny carcass weight was observed at the rs42194733 SNP locus. None of the four SNPs were associated with body size, fertility and progeny survival. These findings support previous work which suggests that the IGF2 locus is an important biological regulator of milk production in dairy cattle and add to an accumulating body of research showing that imprinted genes influence many complex performance traits in cattle.

The UK national scrapie plan (NSP) for sheep is based on selection for the resistant ARR/ARR genotype and elimination of susceptible types of the ovine prion protein (PrP) gene. The aim of this study was to estimate the possible association of the PrP genotype and performance traits by using data from the CAMDA Welsh Mountain flock. Four alleles (ARH, ARQ, ARR and VRQ) and 10 genotypes covering all five NSP risk groups were present in the CAMDA flock. Overall, the most common allele was ARR (35.2%), and VRQ was the least common (5.4%). The commonest genotypes were ARR/ARQ (23.7%) and ARR/AHQ (23.1%). The most resistant genotype, ARR/ARR, and the most susceptible genotype, VRQ/VRQ, were found in 10.2% and 0.3%, respectively, of the population tested. The associations of PrP genotypes with weight and ultrasonically scanned traits were investigated in three analyses, the first using genotypes, the second using risk categories and the third using number of alleles. These associations were evaluated by univariate analysis of each trait using an animal model with maternal effects where appropriate, and PrP was included as a fixed effect. Selection for scrapie resistance will not adversely affect progress in the traits considered and is consistent with improvements in muscle depth.

A survey was conducted in the native tract of the Punjab Brown breed of chicken to study management practices, as well as morphological, performance and egg quality parameters. The study covered the three districts of Gurdaspur district in Punjab, and Ambala and Yamunanagar districts in Haryana, and included 532 birds and 61 families. Twenty-six microsatellite loci were used to assess genetic variability. The Punjab Brown is a multi-purpose breed, yielding good quality meat and eggs. Birds are reared in the backyard system and shelter is provided only during the night in the form of small enclosures mostly made up of mud and sometimes of wood. Average flock size is 8.7. Plumage colour is mostly brown and the pattern is usually solid but is sometimes spotted or striped. Males in particular have black spots/stripes on their neck, wings and tail. The comb is red, of single type and erect in position. The average weight of cocks and hens is 2.15±0.94 and 1.57±0.04 kg respectively. Hens start laying eggs at the age of about five to six months. Clutch size is about four to five. Average egg production is around 60–80 eggs per year. Eggshell colour is mostly light brown and average egg weight is 46.0±1.91g. The average weight of shell, albumin and yolk were 5.4±0.21, 24.4±0.63 and 16.2±0.48g respectively. Yolk index, albumin index and Haugh units were 0.41±0.005, 0.10±0.006 and 82.80±0.98 respectively. A total of 218 alleles were observed. The number of alleles per locus varied from 4–14. The mean PIC value for all the loci was 0.744. Twenty-four loci were found to be neutral (P<0.05) using Ewens Watterson test of neutrality. The exact test revealed that 15 loci deviated from Hardy Weinberg Equilibrium. The population has not undergone any recent bottleneck as revealed by quantitative and graphical qualitative tests.