Calf Management: Individual or Paired Housing Affects Dairy Calf Health and Welfare.

Previous research has indicated that preweaned dairy calves reared in pairs compared with individually have improved performance and indicators of animal welfare. One hundred and thirty Holstein female calves completed the trial, with eighty-five being allocated to paired housing and forty-five calves being allocated to individual housing. Daily live weight gain (DLWG), treatments and mortality were recorded throughout the preweaning period. Salivary cortisol, latency to feed and latency to approach a novel object were assessed at batching. There were no significant differences in DLWG, mortality and disease treatments between the average of the pair and the individually housed calves, although the pair-reared calves were quicker to approach the milk feed after batching and interacted more quickly with a novel object. The heaviest born calves within the pair had the highest DLWG from birth to weaning, with a higher percentage of calves approaching the novel object, compared with the lightest born calf within the pair. This study shows that calves within a pair may have significantly different performance and welfare during the preweaning period, with the heavier calf outperforming and displaying less fear and more exploratory behaviour than the lighter calf within a pair.

Effect of a Lactobacilli-Based Direct-Fed Microbial Product on Gut Microbiota and Gastrointestinal Morphological Changes.

The calf's gastrointestinal tract (GIT) microbiome undergoes rapid shifts during early post-natal life, which can directly affect calf performance. The objectives of this study were to characterise and compare differences in the establishment and succession of GIT microbiota, GIT morphological changes, and the growth of dairy calves from birth until weaned. Forty-four newborn Holstein-Friesian calves were randomly selected and assigned to Treatment (TRT) and Control (CON) groups. The TRT group calves received a once-daily dose of a direct-fed microbial (DFM) liquid product containing Lacticaseibacillus paracasei, Lentilactobacillus buchneri, and Lacticaseibacillus casei, all formerly known as Lactobacillus. Fresh faecal samples were manually taken from the rectum of all calves, and gross necropsy was performed on the forestomachs and gastrointestinal tracts. Bacterial DNA was extracted from frozen faecal samples for 16S rRNA gene amplicon sequencing. Calves in the TRT group had greater live weights (p = 0.02) at weaning compared with calves in the CON group (mean = 69.18 kg, SD = 13.37 kg). The average daily live weight gain (ADG) and total feed intake were similar between the two groups. Calves in the TRT group had greater duodenum, abomasum, and reticulum weights (p = 0.05). Rumen and intestinal development (p < 0.05) and faecal microbial diversity (p < 0.05) were more pronounced in the TRT group. The relative abundances of eight genera differed (p < 0.001) between the groups. Supplementing calves with the LAB-based DFM increased live weight at weaning and had a more pronounced effect on the development of rumen and the gastrointestinal tract and on microbiota diversity and evenness. Future work is needed to better understand the potential association of LAB-DFM products on gut mucosa-associated microbiota.

Classification of light Yorkshire pigs at different production stages using ordinary least squares and machine learning methods.

Pig homogeneity and growth are major concerns for the pig industry today. Variability in pigs' size has a strong impact on profitability as uniformity plays a key role in the overall economic value of pigs produced. This research focused on statistical methods to identify pigs at risk of growth retardation at different stages of production. Data from 125 083 Yorkshire pigs at weaning (18-28 d), 59 533 pigs at the end of the nursery period (70-82 d) and 48 862 pigs at slaughter (155-170 d) were analyzed under three different cut-points (lowest 10, 20 and 30%) to characterize light animals. Records were randomly split into 2:1 training:testing sets, and each training data set was analyzed through an ordinary least squares approach and four machine learning algorithms (decision tree, random forest, and two alternative boosting approaches). A wide range of weighting functions were applied to give increased relevance to lighter pigs. Each resulting classification norm was used to classify light pigs in the testing data set. Both sensitivity and specificity were retained to construct the receiver operating characteristic curve, and the statistical performance of each analytical approach was evaluated by the area under the curve (AUC). In all production stages and cut-points, the random forest machine learning algorithm provided the highest AUC, closely followed by boosting procedures. For weaning BW (WW), factors related to birth BW and litter size accounted for more than 75% of the important prediction factors for light pigs. BW at the end of the nursery period and slaughter BW analyses revealed a similar pattern where WW and BW at the end of the nursery period accounted for more than 40 and 50% of statistical importance among the prediction factors, respectively. Machine learning algorithms are useful tools to easily evaluate the risk factors affecting the efficiency and homogeneity in swine. Since the BW at birth and weaning are key factors, sow nutrition and feeding management during gestation and lactation, along with piglet management during lactation, are identified as important influences on pig weight variability.

Effect of Fasted Live-Weight Gain during the Cashmere Non-Growing Period on Cashmere Production Performance and Secondary Hair Follicle Activity of Cashmere Goats.

The objective of this study was to investigate the effects of fasted live-weight gain during the cashmere non-growing period on cashmere production performance and secondary hair follicle activity, to provide a theoretical basis for appropriate supplementary feeding of cashmere goats. Fifty Inner Mongolian cashmere goats aged 2-4 years old were randomly selected and weighed in May and September 2019, respectively. Based on fasted live-weight gain between the two weights, the experimental ewe goats were divided into two groups: 0-5.0 kg group (n = 30) and 5.0-10.0 kg group (n = 20). Skin samples and cashmere samples were collected. Results of a Pearson correlation analysis showed that fasted live-weight gain during the cashmere non-growing period had a moderate and strong positive correlation with cashmere yield (p = 0.021) and cashmere staple length (p = 0.002), respectively, but did not correlate with cashmere diameter (p = 0.254). Compared with cashmere goats with a fasted live-weight gain of 0-5.0 kg, cashmere goats with a fasted live-weight gain of 5.0-10.0 kg had a 17.10% increase in cashmere yield (p = 0.037) and an 8.09% increase in cashmere staple length (p = 0.045), but had no significant difference in cashmere diameter (p = 0.324). Results of a Pearson correlation analysis showed that there was a strong positive correlation between fasted live-weight gain and the population of active secondary hair follicles in the skin of cashmere goats (p < 0.01). Compared with cashmere goats with a fasted live-weight gain of 0-5.0 kg, cashmere goats with a fasted live-weight gain of 5.0-10.0 kg had an increase in the population of active secondary hair follicles (p < 0.05). In conclusion, the fasted live-weight gain during the cashmere non-growing period had a significant effect on secondary hair follicle activity and cashmere production performance in cashmere goats. Since fasted live-weight gain reflects nutritional level to a certain extent, this study suggests that nutritional manipulations such as supplementary feeding during cashmere non-growing periods can increase cashmere production performance. However, specific nutritional manipulations during the cashmere non-growing period need further research to increase cashmere production performance.

Genome-wide association study of health and production traits in meat sheep.

Genotypes are currently widely used in animal breeding programmes to enhance the speed of genetic progress. With sufficient data, a Genome-Wide Association Study (GWAS) can be performed to identify informative markers. The aim of this study was to investigate the genetic background of health (footrot and mastitis) and production (birth weight, weaning weight, scan weight, and fat and muscle depth) traits using the available phenotypic and Single Nucleotide Polymorphism (SNP) data collected on the UK Texel sheep population. Initially, 10 193 genotypes were subject to quality control, leaving 9 505 genotypes for further analysis. Selected genotypes, recorded on four different Illumina chip types from low density (15 k SNPs) to high density (606 006 SNPs), were imputed to a subset of 45 686 markers from 50 k array, distributed on 27 chromosomes. Phenotypes collected on 32 farms across the UK for footrot and mastitis and extracted from the UK National database (iTexel) for the production traits were used along with pre-estimated variance components to obtain de-regressed breeding values and used to perform GWAS. Results showed three SNPs being significant on the genome-wise level ('OAR8_62240378.1' on chromosome 8 for birth weight, 's14444.1' on chromosome 19 for weaning weight and 's65197.1' on chromosome 23 for scan weight). Fourteen subsequent SNPs were found to be significant at the chromosome-wise level. These SNPs are located within or close to previously reported QTLs impacting on animal health (such as faecal egg count or somatic cell count) and production (such as body or carcass weight and fat amount). These results indicate that the studied traits are highly polygenic with complex genetic architecture.

Productive performance of lambs born in different seasons of the year.

Background: The seasonality in lamb supply challenges the development of sheep production. Increasing the duration of the breeding season, aimed at distributing births throughout the year, enables a constant supply of lambs. However, the birth season can influence their productive performance. Aim: The objective was to evaluate the effect of birth season on birth live weight (BW), daily live weight gain from birth to weaning (DWGBW), weaning live weight (WW), and daily live weight gain from weaning to 150 days (DWGW-150) slaughter age, as well as the influence of ewe age and body condition score (BCS), sex of the lamb, and type of pregnancy (single or twin) on these productive indices. Methods: The study analyzed production data comprising ten breeding seasons (from 2015 to 2019), 643 matings, and 531 lambs, using binary logistic regression, ANOVA, Tukey's, and t tests. Results: Lambs born in summer exhibited lower productive performance, as evidenced by lower DWGBW (0.22 ± 0.08 kg), WW (18.88 ± 7.82 kg), and DWGW-150 (0.13 ± 0.07 kg). Ewes with prepartum BCS between 3 and 4 gave birth to heavier lambs. After birth, lambs from ewes with BCS between 3 and 4 had a higher DWGBW, while lambs from ewes with postpartum BCS of 1.5 and 2 had a lower WW. Ewes aged 2 to 8 years gave birth to heavier lambs, and ewes aged ≥8 years weaned lambs at a lower weight. After weaning, the weight gain was similar among all age groups. Male lambs had higher DWGBW and WW than female lambs. Lambs from twin pregnancies had lower BW (3.95 ± 1.27 kg), lower DWGBW (0.21 ± 0.08 kg), and lower WW (17.59 ± 8.18 kg). The average lamb mortality rate between lambing and weaning was 12.5%, ranging from 9.8% to 13.9%, with no significant variations between birth seasons. Lambs born in spring and summer needed more anthelmintic treatments than those born in autumn and winter. Conclusion: The production of lambs outside the traditional season is possible; however, the productive performance of lambs born in the summer is lower than that in the other seasons of the year.

Body Composition Estimation in Breeding Ewes Using Live Weight and Body Parameters Utilizing Image Analysis.

Farmers are continually looking for new, reliable, objective, and non-invasive methods for evaluating the conditions of ewes. Live weight (LW) and body condition score (BCS) are used by farmers as a basis to determine the condition of the animal. Body composition is an important aspect of monitoring animal condition. The body composition is the amount of fat, muscle, and bone; knowing the amount of each is important because the information can be used for better strategic management interventions. Experiments were conducted to establish the relationship between body composition and body parameters at key life stages (weaning and pre-mating), using measurements automatically determined by an image processing application for 88 Coopworth ewes. Computerized tomography technology was used to determine the body composition. Multivariate linear regression (MLR), artificial neural network (ANN), and regression tree (RT) statistical analysis methods were used to develop a relationship between the body parameters and the body composition. A subset of data was used to validate the predicted model. The results showed a correlation between fat, muscle, and bone determined by CT and the fat, muscle, and bone weight estimated by the live weight and body parameters calculated using the image processing application, with r2 values of 0.90 for fat, 0.72 for muscle, and 0.50 for bone using ANN. From these results, farmers can utilize these measurements to enhance nutritional and management practices.

The time elapsed between assessments of blood metabolome and live weight affects associations between the abundance of metabolites and growth rate in beef cattle.

INTRODUCTION: This study aimed to assess the associations between the relative abundance (RA) of blood metabolites and growth rate (i.e., live weight change, LWC) calculated using different intervals of time between live weight (LW) measurements from the metabolome assessment. METHODS: Grazing beef cattle were raised for 56 days and blood samples from each animal were taken on day 57. Live weight was continuously measured using an automatic in-paddock weighing scale. The RA of plasma metabolites were determined using proton nuclear magnetic resonance (NMR). Live weight data were filtered for outliers and one LW record was selected every 1, 7, 14, 21, 28, 35, 42, 49 and 56 days before the metabolome assessment (LWC1 to LWC56, respectively). Live weight change was then re-calculated for each interval between LW data selected. RESULTS: Associations between LWC calculations and the RA of metabolites were greatly affected by the interval of time between LW data selected. Thus, the number of significant associations decreased from 9 for LWC1 to 5 for LWC35 whereas no significant associations were found for LWC56 (P > 0.05). There were 7 metabolites negatively associated with LWC1 including leucine, 2-hydroxybutyrate, valine, creatinine, creatine, phenylalanine and methylhistidine; however, correlations were positive for 2 lipids. The strength of the correlation coefficients decreased as the length of the interval between LW measures increased although this reduction was greater for some metabolites such as leucine compared to others such as lipids. Our findings suggest that the time frame in which a particular response variable, such as LWC, is measured and metabolomic samples are taken could largely impact associations and thus conclusions drawn. CONCLUSIONS: Depending on the variable to be explored, rapid changes in cattle metabolome may not be reflected in correlations if they are not assessed close in time. Our findings suggest that LWC should be measured for a period shorter than 28 days before the metabolome assessment as the number of significant associations decreases when LWC is measured for longer periods.

Growth and growth curve analysis in Dorper × Tumele crossbred sheep under a smallholder management system.

This study aimed to evaluate the growth performance and Kleiber ratio (KR) and to determine the growth curve of Dorper × Tumele sheep under a smallholder management system. Growth and efficiency-related traits were analyzed by using the general linear model (GLM) procedure of SAS. Gompertz, Logistics, Brody, Monomolecular, and Negative exponential models were used to determine the growth curve, and growth curve parameters were estimated via the nonlinear regression model (NLIN) procedure of SAS. The overall least-squares means of the birth weight, weaning weight, 6-month weight, and yearling weight were 3.29, 13.7, 17.3, and 23.4 kg, respectively. Dorper × Tumele lambs grew faster during the preweaning period (115.3 ±â€…1.19 g day-1) than during the postweaning periods (44.1 ±â€…1.26 g day-1 to 33.5 ±â€…1.13 g day-1). Likewise, a higher KR was observed during the pre-weaning age (16.1 ±â€…0.08 g/day/kg0.75) than during postweaning periods (5.08 ±â€…0.13 g/day/kg0.75 to 3.10 ±â€…0.09 g/day/kg0.75). Brody, a model without an inflection point was the best-fitted growth function for Dorper × Tumele sheep under a smallholder management system. The highest and lowest asymptotic weight was observed for Brody (23.8 ±â€…0.22 kg) and Logistics (20.7 ±â€…0.11 kg) models, respectively. The maturation rate ranged between 0.21 (Brody) and 0.66 (Logistics). Based on the Brody model, the correlation between asymptotic weight and maturity rate was -0.92. The growth parameter estimate in this study indicates that Dorper × indigenous sheep had a better speed to achieve mature weight and the early mature crossbred sheep are less likely to exhibit high adult weight. The rapid growth of crossbred sheep during the early period can provide more profit to the farmer by reducing the cost of sheep production inputs. Therefore, crossing Tumele with Dorper sheep and integrating with improved management would be suggested to improve productivity and profit from sheep production.

Egg-laying capacity of parent flock geese at different stocking densities.

This article presents the results of studies aimed at establishing the optimal stocking density of purebred and hybrid geese of the parent flock, taking into account the indicators of their live weight and egg production. When conducting research, the stocking density of geese was established depending on the breed and shape. Different stocking densities of geese in groups were achieved due to their different numbers in groups: Kuban 1.2; 1.5; 1.8 birds/m2 , large gray 0.9; 1.2; 1.5 birds/m2 , hybrid bird 1.0; 1.3; 1.5 birds/m2 . It was revealed on the basis of the analysis of the productive qualities of adult geese that the optimal planting density of the Kuban geese is 1.8 heads/m2 , large sulfur = 0.9, hybrid = 1.3. The safety of geese at a given stocking density ensured an increase in the safety of geese of the Kuban breed by 95.3%, large gray = 94.0%, hybrid = 97.0%. The live weight of Kuban geese increased by 0.9%, large gray geese = 0.10, hybrids = 1.2, egg production by 0.6%, 2.2% and 0.5%, respectively.

Effects of bee pollen inclusion on performance and carcass characteristics of broiler chickens.

This study was conducted to determine the effect of bee pollen (BP) inclusion on performance and carcass characteristics in broiler chickens. A total of 240 Ross 308 broiler chicks were allocated to 4 treatments (BP inclusion levels of 0, 4, 8, or 12 g/kg DM feed) in a randomized complete block design with sex as a block having 3 replicates with 10 chickens per replicate. After 21 d, the chickens remained in their treatment groups and fed standard grower diet. The results of the current study revealed that BP inclusion had positively improved (P < 0.05) average weekly feed intake (FI), body weight (BW), body weight gain (BWG), and feed conversion ratio (FCR) in both sexes. However, the apparent nutrient digestibility, metabolizable energy (ME), and nutrient digestibility were not affected by the dietary BP. Furthermore, carcass yield in both sexes was improved (P < 0.05) by BP inclusion levels. In contrast, meat pH, shear force, and sensory evaluation in both sexes were not affected (P > 0.05). The results suggest that the broiler chicks can utilize bioactive compounds in BP when supplemented in the starter diets and subsequently improve their growth parameters throughout the growing period as well as carcass yield at slaughter age. These positive improvements could be due to high quality amino acids, essential oils, vitamins, and minerals of BP. Therefore, it is concluded that BP inclusion level of 12 g/kg or more in the starter diets could have positive effects on growth performance and carcass yield at slaughter age without causing adverse effects on meat physico-chemical properties and sensory evaluation in both male and female broiler chickens.

Prediction of weaning weight in Santa Inês lambs using the body volume formula.

Weaning weight (WW) is one of the most important information within production systems, as it is a reflection of management during the breastfeeding phase and will influence the performance of animals in subsequent phases. This study aimed to develop and evaluate linear, quadratic, and exponential models to predict WW using the body volume (BV) formula in Santa Inês lambs for meat. Eighty-five lambs at 90 days of age with WW 17.52 ± 3.79 kg and BV 13.29 ± 2.86 dm3 were evaluated. The quality of fit of the models was evaluated using the coefficient of determination (R2), mean squared error (MSE), and root MSE (RMSE). For the external evaluation of the models, an independent dataset from 43 lambs at 90 days of age was used. The first-degree linear model showed the lowest values of MSE (1.02) and RMSE (1.01). In the external evaluation, all models exhibited estimates of mean WW and standard deviation of this weight similar to the external dataset, as well as high values (above 0.89) for the R2 of predicted vs. observed data. Concordance correlation coefficient (CCC) analysis also revealed that all models showed accuracy and precision (CCC > 0.90). There was no difference between the models in terms of accuracy (P > 0.05). The comparison in terms of precision indicated that the linear model is more precise than the exponential model and that the quadratic model is as precise as the linear model. The first-degree linear model should be used due to its simplicity of interpretation and ease of estimation.

Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras.

In beef cattle breeding, genome-wide association studies (GWAS) using single nucleotide polymorphisms (SNPs) arrays can reveal many loci of various production traits, such as growth, productivity, and meat quality. With the development of genome sequencing technologies, new opportunities are opening up for more accurate identification of areas associated with these traits. This article aims to develop a novel approach to the lifetime evaluation of cattle by 3-D visualization of economic-biological and genetic features. The purpose of this study was to identify significant variants underlying differences in the qualitative characteristics of meat, using imputed data on the sequence of the entire genome. Samples of biomaterial of young Aberdeen-Angus breed cattle (n = 96) were the material for carrying out genome-wide SNP genotyping. Genotyping was performed using a high-density DNA chip Bovine GPU HD BeadChip (Illumina Inc., San Diego, CA, USA), containing ~150 thousand SNPs. The following indicators were selected as phenotypic features: chest width and chest girth retrieved by 3-D model and meat output on the bones. Correlation analysis showed a reliable positive relationship between chest width and meat output on the bones, which can potentially be used for lifetime evaluation of meat productivity of animals.

Linebreeding as a system of stock breeding to improve the productive qualities of horses of the Kushum breed.

Possessing high meat and dairy productivity and good reproductive and adaptive qualities to year-round grazing, the Kushum breed plays an exceptional role in the improvement of productive qualities in horse herding in Kazakhstan and the former Soviet republics. The aim of the study was to develop breeding methods for creating new highly productive breeding lines for the Kushum breed horses. The leading method was linebreeding, which is based on the systematic use of remarkable animals, the offspring of which will accumulate and develop all the desired qualities and traits. The practical significance of the study lies in the fact that new highly productive breeding lines of the Kushum horse have been created. On this basis, a new intra-breed type of horses with increased live weight, high productivity and adaptive qualities for winter grazing in the Republic of Kazakhstan was created. The results of the study were introduced in farms engaged in breeding Kushum horses. Highly productive stallions of the Kushum breed of new genotypes are sold in horse breeding farms of the republic. These studies are used in the development of a comprehensive plan for selection and breeding work and a scientifically grounded system for conducting productive horse breeding in the Republic of Kazakhstan. The scientific novelty of the study lies in the creation of new highly productive breeding lines of stallions of the Kushum breed Krepysh and Grom, as well as in substantiating the creation of the Samotsvet line with high adaptive qualities.

Targeted selective treatment with anthelmintic for New Zealand dairy heifers.

We investigated whether measurement of live weight gain (LWG) could be used to deliver targeted selective treatment (TST) with anthelmintic that maintained target live weight (LW) while reducing anthelmintic use. Dairy heifers (n = 546) from four commercial, seasonal calving, pastoral New Zealand dairy herds in the Canterbury region of New Zealand were recruited to compare effects of TST, against suppressive treatment (ST), on LW and LWG in their first year at pasture. Animals were enrolled at weaning (December) and weighed ± anthelmintic treatment every month until May and then in August and September, pre-mating in October. All ST calves were treated every month with an oral anthelmintic at 1 mL/5 kg LW, delivering 0.2 mg abamectin, 8 mg levamisole and 4.5 mg oxfendazole/kg LW, (Control). TST calves received the same anthelmintic at the same time but only if either their individual LWG fell below a pre-specified, time altered, breed specific target for that group (Group target) or if their individual LWG fell below an individual, time altered target for that individual (Individual target). Faecal egg count (FEC) and serum IgA OD levels were recorded from a sample of calves throughout the study. Compared to ST, anthelmintic use was halved in both TST groups (P < 0.001) and there was no evidence for differences in the proportion of calves reaching target LW pre-mating (Control = 80 (95 % CI = 79.1-87.2 %), Group = 78.9 (95 % CI = 59.6-98.2%), Individual = 78.2 (95 % CI = 58.4-97.9 %), P = 0.935). Control calves were heavier pre-mating (310 (95 % CI = 290-330 kg) than Group (300 (95 % CI = 280-320 kg) or Individual (298 (95 % CI = 278-318 kg), P < 0.001). An interaction between FEC and time meant calves with FEC > 200 EPG grew more slowly in the autumn (P < 0.001), but more quickly in the winter (P < 0.001). FEC and IgA OD levels were consistent with levels of parasitism sufficient to impact LWG, but there was no evidence for differences between treatment groups. Sensitivity and specificity of LW and LWG as predictors of reaching target weight varied month-on-month but these results suggest monthly LWG and LW were poor indicators for AHC treatment. In conclusion, TST can be effective in reducing anthelmintic use and maintaining group level performance. LW and LWG sensitivity was 57-85 % and 66-93 %; specificity 38-83 % and 32-79.

Effects of Caponization on Growth Performance and Carcass Composition of Yangzhou Ganders.

In this study, we determined the effects of caponization on the growth performance and carcass traits of Yangzhou ganders. Fifty sham operated geese (the control group) and 80 caponized geese (the caponized group) were selected at 150 days of age and reared until 240 days of age. At 210 days of age, 30 geese from the caponized group were selected and fed with testosterone propionate (testosterone group). The results showed that caponization lowered testosterone and increased the total cholesterol and triglyceride concentrations in serum, live weights, average 15 day gains, and feed intake. Abdominal fat and intramuscular fat were significantly higher in the caponized geese than in the control at 240 days. Gene expression analysis showed that caponization promoted abdominal fat deposition and intermuscular fat content by upregulating the expression of adipogenic genes in the liver, adipose tissue, and muscle tissue. The high expression of SOCS3 in the hypothalamus, liver, and muscle of caponized geese suggests that caponization may lead to negative feedback regulation and leptin resistance. Changes in the expression of these genes, along with the downregulation of PAX3 in the breast muscle and MYOG in the leg muscles, indicate that caponization increases the live weight mainly by increasing fat deposition rather than muscle growth. These results expand our understanding of the mechanisms of caponization on growth performance and fat deposition in ganders.

Effects of Lactobionic Acid on Pig Growth Performance and Chemical Composition of Pork.

Lactobionic acid is an innovative product obtained in the fermentation process of cheese or curd whey, and it has several beneficial properties. Therefore, it may have potential application in animal feeding. Currently, lactobionic acid is not widely used yet in feeding farm animals. Therefore, the aim of our study was to evaluate the effect of lactobionic acid (LBA) on pig growth performance and pork quality. Two groups of pigs (control and trial, 26 piglets each) were completed. The control group received compound feed, whereas the trial group's feed was supplemented with LBA (0.17 kg per 100 kg of feed). Carcass weight and meat pH were determined. The subcutaneous fat layer S (mm) was measured. Lean meat content was determined using the SEUROP classification. Amino acids and fatty acids in pork were evaluated. The addition of LBA to pig feed significantly increased the live weight gain and slaughter yield of pigs, but the samples had a slightly thicker backfat layer. Results obtained showed higher concentration of amino acids in the trial group but slightly lower pork fat quality in the same group. Lactobionic acid has the potential for applications in pig feeding.

Growth-development characteristics and affecting factors in Norduz lambs.

The objective of this study is to know the growth and developmental traits of Norduz lambs and to determine the factors influencing the growth and developmental traits and their contribution to this influence. The lambs were weighed at intervals of 30th days to the 180th day after birth. As a result of weighing, the mean values of live weight on the 30th, 60th, 90th, 120th, 150th, and 180th day were obtained: 11.63 ± 0.24, 17.29 ± 0.35, 24.51 ± 0.51, 31.92 ± 0.62, 34.39 ± 0.70, and 36.13 ± 0.80 kg, respectively. According to the results of the GLM analysis, it was found that maternal age had a significant (p < 0.01) effect on live weight on day 60th and a significant (p < 0.05) effect on live weight on days 90th and 180th. It was found that there was a difference between maternal age groups in terms of lamb live weight gain. The influence of birth type on live weight on days 30th and 60th was highly significant (p < 0.001), and the influence on live weight on day 90th was significant (p < 0.01). The effect of sex on live weight was not significant at all ages (p > 0.05). The linear effects of main weight on live weight on day 30th were highly significant (p < 0.001), and on live weight on day 60th were significant (p < 0.01). It was found that the linear effects of lamb birth weight on all ages were highly significant (p < 0.001). In the study, the live weight gains were determined between 0 and 30, 0 and 60, 0 and 90, 0 and 180, and 90 and 180 days. The live weight gains were 236.97 ± 5.77, 212.90 ± 4.87, 222.16 ± 5.02, 175.57 ± 4.12, and 128.96 ± 4.71 g, respectively. It was found that maternal age had a significant effect at the level of p < 0.01 between 0 and 60 days and p < 0.05 between 0 and 90 days. While the effect of mode of birth on live weight gain between 0 and 30 and 0 and 60 days was highly significant (p < 0.001), the effect on live weight gain between 0 and 90 days was found to be significant (p < 0.01). The effect of sex was not significant (p > 0.05) in all ranges.

Estimates of genetic parameters for linear body measurements and prediction of body weight in goat.

The objective of this study is to estimate genetic parameters for linear body measurements along with their correlation to live weight with a focus on devising a scale to predict live weights from body measurement. A total of 142,564 records on body measures and live weights were collected from 8701 Jamunapari goats. Genetic parameters were obtained for body length (L), height at withers (H) and heart girth (G) from birth to adult stage by univariate and multivariate analysis using the average information restricted maximum likelihood method. The best model for body measures at birth included the additive effect of animal and dam along with their covariance and maternal environment, whereas for traits measured later in life, the maternal environment was not significant. After accounting for the direct maternal correlation (ram ), the total heritability estimates for linear body measurements (L,H and G) at the preweaning and postweaning stages of growth ranged from 0.14 to 0.20. Significant genetic variability implies further scope for selection. The genetic correlations of live weight at birth, 3, 6, 9 and 12 months with corresponding L,H and G were high in magnitude indicating scope to select animals for higher weight using morphometric measurements. When weighing scales are unavailable in the field, prediction of weight using L and G was recommended [live weight = (0.291 × L) + (0.306 × G) - 16.8]. We recommend the use of body measurements in the Jamunapari goat breeding program owing to their high genetic correlation with corresponding live weights.

Effects of melatonin implants on reproductive performance of dairy sheep and dairy goats.

This study investigated the effects of melatonin implants in the female and male animals before the breeding season on the reproductive performance of Tahirova sheep and Turkish Saanen goats. Seventy-five sheep and 53 goats (including 6 rams and 4 bucks) were used in the research. Melatonin implants (18 mg) were applied to half of the female and male animals, one to female animals and three to male animals. The rate of oestrus was determined as 100% in the melatonin (M) and control (C) groups. The non-return rate, conception rate and lambing rate were close in both groups of ewes and rams groups (p > .05). The rate of oestrus was 100% in the melatonin and control groups of does and bucks groups in Turkish Saanen goats. The non-return rate in does was 75.0 ± 9.02% in M group and 92.0 ± 5.53% in C group (p = .0101), the non-return rate was 83.3 ± 6.92% in group M and 84.2 ± 8.59% in group C for bucks (p = .5570). For ewes, the duration from ram introduction to first oestrus, conception and lambing was significantly lower in group M than in group C (p ≤ .05). Litter size of M in ewe and ram groups were 1.70 ± 0.08 and 1.59 ± 0.09, respectively, whereas it was 1.62 ± 0.10 and 1.74 ± 0.10 in C group, respectively. Birth weight significantly differed between ewe groups (p = .0017). For goats, the duration from buck introduction to first oestrus, conception and lambing was similar in the groups of does and bucks (p > .05). Litter size of M in doe and buck groups were 1.57 ± 0.11 and 1.53 ± 0.12, respectively, and 1.46 ± 0.11and 1.50 ± 0.09 in C group, respectively (p > .05). While the live weight and body condition score (BCS) of ewes were significantly affected by melatonin implants (p ≤ .05), the live weight and BCS of does were not affected. In conclusion, it might be said that melatonin implants obtained better results for reproduction in Tahirova sheep than Turkish Saanen goats.