Withers Height Research Articles

Genomic analyses of withers height and linear conformation traits in German Warmblood horses using imputed sequence-level genotypes

BackgroundBody conformation, including withers height, is a major selection criterion in horse breeding and is associated with other important traits, such as health and performance. However, little is known about the genomic background of equine conformation. Therefore, the aim of this study was to use imputed sequence-level genotypes from up to 4891 German Warmblood horses to identify genomic regions associated with withers height and linear conformation traits. Furthermore, the traits were genetically characterised and putative causal variants for withers height were detected.ResultsA genome-wide association study (GWAS) for withers height confirmed the presence of a previously known quantitative trait locus (QTL) on Equus caballus (ECA) chromosome 3 close to the LCORL/NCAPG locus, which explained 16% of the phenotypic variance for withers height. An additional significant association signal was detected on ECA1. Further investigations of the region on ECA3 identified a few promising candidate causal variants for withers height, including a nonsense mutation in the coding sequence of the LCORL gene. The estimated heritability for withers height was 0.53 and ranged from 0 to 0.34 for the conformation traits. GWAS identified significantly associated variants for more than half of the investigated conformation traits, among which 13 showed a peak on ECA3 in the same region as withers height. Genetic parameter estimation revealed high genetic correlations between these traits and withers height for the QTL on ECA3.ConclusionsThe use of imputed sequence-level genotypes from a large study cohort led to the discovery of novel QTL associated with conformation traits in German Warmblood horses. The results indicate the high relevance of the QTL on ECA3 for various conformation traits, including withers height, and contribute to deciphering causal mutations for body size in horses.

Growth and body composition of dairy calves fed only milk replacer at 3 intakes

Determination of energy requirements for growth depends on measuring the composition of body weight (BW) gain. Previous studies have shown that the composition of gain can be altered in young dairy calves by composition of the milk replacer diet. Here, our objective was to determine body composition and the composition of empty body gain in young calves fed increasing amounts of a milk replacer containing adequate CP. Male Holstein calves underwent an adjustment period of 14 d after birth in which they were fed whole waste milk at 10% of BW. Calves were then stratified by BW and randomly assigned to either an initial harvest group (n = 11) or to groups fed 1 of 3 milk replacer amounts and harvested after 35 d of growth. All treatments consumed the same milk replacer containing 24.8% CP (dry matter [DM] basis; from all milk proteins) and 18.9% fat, reconstituted to 12.5% solids. Treatments were milk replacer fed at 1.25% of BW (DM basis; n = 6), 1.75% of BW (n = 6), or 2.25% of BW (n = 8), adjusted weekly as calves grew. Calves fed at 1.25% or 1.75% of BW were fed twice daily and those fed 2.25% of BW were fed 3 times daily. No starter was offered. Post harvest, the bodies of calves were separated into 4 fractions: carcass; total viscera minus digesta; head, hide, feet, and tail; and blood. The sum of those 4 fractions was empty BW, which increased linearly as amount of milk replacer increased. Final heart girth and body length, but not withers height, increased linearly as intake increased. Gain:feed increased linearly with increasing milk replacer. Feeding more milk replacer increased the amounts of lean tissue and fat in the body. The percentages of water and protein in the final body decreased linearly, whereas fat percentage and energy content increased linearly as intake increased. As gain increased, the percentage of protein in gain decreased and the percentage of fat increased, resulting in an increase of energy content of EBW gain. Efficiency of energy use (retained energy:gross energy intake) increased linearly but retained energy:metabolizable energy available for growth was not different among treatments. Efficiency of protein use increased quadratically as feeding rate increased; there was no further increase at 2.25% of BW. Plasma insulin-like growth factor 1, insulin, and glucose increased linearly, whereas urea-N decreased linearly, as milk replacer intake increased. Our data document changes in body composition that affect estimates of retained energy in the bodies of calves harvested at a common age. These data are important for calculations of energy requirements for young calves.

Use of data mining algorithms to predict body weight of Dorper sheep Breed in two selected villages of Lepelle-Nkumpi local municipality in Limpopo province, South Africa

Sheep farmers in village areas find it difficult to estimate body weight without the weighing tools. The best fitted model for estimation of sheep body weight is not conclusive. Classification and regression tree (CART), Chi-square automatic interaction detection (CHAID), Exhaustive chi-square automatic interaction detection (Ex-CHAID) and Multivariate adaptive regression spline (MARS) were used to predict body weight (BW) of 306 Dorper sheep (female = 244 and male = 62) aged 1 to 2 years from linear body measurement traits such as rump height (RH), rump length (RL), heart girth (HG), withers height (WH), and body length (BL). Goodness of fit criteria's such as Pearson's correlation coefficients (r), coefficient of determination (R2), Akaike's information criterion AIC and adjusted R2 (Adj.R2) were computed for data mining algorithms performance assessment. The results indicated that MARS was the best data mining algorithm with r of 0.979, R2 of 0.958, Adj.R2 of 0.957, RMSE of 2.503 and AIC of 422.25. The MARS model provided the most appropriate predictive capability in the prediction of body weight for Dorper sheep with HG, WH, RH, BL, and sex (male) as the important traits. As a result, MARS data mining algorithm might be used to identify factors that might be vital to improve body weight of Dorper sheep for breeding programs.

Supplementation with Combined Additive Improved the Production of Dairy Cows and Their Offspring with Maintenance of Antioxidative Stability.

Oxidative stress damage in periparturient cows decreases both production and their health; supplementation with complex additives during the periparturient period has been used as an important strategy to enhance the antioxidant status and production of dairy cows. The periparturient cows not only risk a negative energy balance due to reduced dry matter intake but also represent a sensitive period for oxidative stress. Therefore, we have developed an immunomodulatory and nutritional regulation combined additive (INC) that hopefully can improve the immune status and production of cows during the periparturient period and their offspring health and growth by improving their antioxidant stress status. The INC comprised a diverse array of additives, including water-soluble and fat-soluble vitamins, Selenomethionine, and active dry Saccharomyces cerevisiae. Forty-five multiparous Holstein cows were randomly assigned to three treatments: CON (no INC supplementation, n = 15), INC30 (30 g/d INC supplementation, n = 15), and INC60 (60 g/d INC supplementation, n = 15) based on last lactation milk yield, body condition score, and parity. Newborn calves were administered 4 L of maternal colostrum originating from the corresponding treatment and categorized based on the treatment received by their respective dams. The INC not only served to maintain the antioxidative stress system of dairy cows during the periparturient period but also showed a tendency to improve the immune response (lower tumor necrosis factor and interleukin-6) during the perinatal period. A linear decrease in concentrations of alkaline phosphatase postpartum and β-hydroxybutyrate was observed with INC supplementation. Milk fat yield, milk protein yield, and energy-corrected milk yield were also increased linearly with increasing additive supplementation. Calves in the INC30 group exhibited greater wither height and chest girth but no significant effect on average daily gain or body weight. The diarrhea frequency was linearly decreased with the incremental level of INC. Results indicate that supplementation with INC in peripartum dairy cows could be a major strategy to improve immune response, decrease inflammation, maintain antioxidant stress status in transition dairy cows, and have merit in their calves. In conclusion, this study underlines the benefits of INC supplementation during the transition period, as it improved anti-inflammatory capacity, could positively impact antioxidative stress capacity, and eventually enhanced the production performance of dairy cows and the health and growth of calves.

Estimation of the genetic parameters of sheep growth traits based on machine vision acquisition

In the realm of animal phenotyping, manual measurements are frequently utilised. While machine-generated data show potential for enhancing high-throughput breeding, additional research and validation are imperative before incorporating them into genetic evaluation processes. This research presents a method for managing meat sheep and collecting data, utilising the Sheep Data Recorder system for data input and the Sheep Body Size Collector system for image capture. The study aimed to investigate the genetic parameter changes of growth traits in Ujumqin sheep by comparing machine-generated measurements with manual measurements. The dataset consisted of 552 data points from the offspring of 75 breeding rams and 399 breeding ewes. Six distinct random regression models were assessed to pinpoint the most suitable model for estimating genetic parameters linked to growth traits. These models were distinguished based on the inclusion or exclusion of maternal genetic effects, maternal permanent environmental effects, and covariance between maternal and direct genetic effects. Fixed factors such as individual age, individual sex, and ewe age were taken into account in the analysis. The genetic parameters for the yearling growth traits of Ujumqin sheep were calculated using ASReml software. The Akaike information criterion, the Bayesian information criterion, and fivefold cross-validation were employed to identify the optimal model. Research findings indicate that the most accurate models for manually measured data revealed heritability estimates of 0.12 ± 0.15 for BW, 0.05 ± 0.07 for body slanting length, 0.03 ± 0.07 for withers height, 0.15 ± 0.12 for hip height, 0.11 ± 0.11 for chest depth, 0.13 ± 0.13 for shoulder width, and 0.53 ± 0.15 for chest circumference. The optimal models for machine-predicted data showed heritability estimates of 0.1 ± 0.09 for body slanting length, 0.14 ± 0.12 for withers height, 0.55 ± 0.15 for hip height, 0.34 ± 0.15 for chest depth, 0.26 ± 0.15 for shoulder width, and 0.47 ± 0.16 for chest circumference. In manually measured data, genetic correlations ranged from 0.35 to 0.99, while phenotypic correlations ranged from 0.07 to 0.90. In machine data, genetic correlations ranged from −0.05 to 0.99, while phenotypic correlations ranged from 0.03 to 0.84. The results suggest that machine-based estimations may lead to an overestimation of heritability, but this discrepancy does not impact the selection of breeding models.

Production and oxidative stress responses in a cage designed for creep-feeding lambs

This research aims to assess the production and oxidative stress reactions of lambs fed in a specially designed cage for creep feeding. For this purpose, the Akkaraman lambs (n = 60) were separated into four groups (15 individuals by two sexes and two groups), and all were fed the same ration. On the days that all the data was collected, the lambs were precisely 20, 34, 48, and 62 days old. The study included collecting data on body weights, body measures, and saliva samples from lambs. When the change in body weight was investigated, the results indicated that the differences between caged creep and control feeding groups (P = 0.343) and among the groupings concerning gender (P = 0.735) were insignificant. The importance levels of change differences in body measurements based on feeding methods and gender are withers height: P = 0.003, P = 0.198; body length: P < 0.001, P = 0.394; pectoral chest width: P = 0.030, P = 0.906; chest depth: P < 0.001, P = 0.741; chest circumference: P = 0.093, P = 0.529; back length: P = 0.221, P = 0.935; head length: P = 0.004, P = 0.072 and head width: P = 0.112, P = 0.617 calculated. The study's saliva samples, the effects were examined, and significant differences in Malondialdehyde (P = 0.014), superoxide dismutase (P = 0.029), catalase (P < 0.001), and glutathione s-transferase (P = 0.001) were discovered between control feeding and caged creep feeding methods. In ischemia-modified albumin (P > 0.05), the difference between the groups was insignificant. According to these findings, caged creep feeding systems are preferable for achieving faster growth rates in Akkaraman lambs; however, caged creep feeding techniques in bigger areas with longer periods are considered better for welfare conditions.

Phenotypic and morphometric characterization of Janwal Pashmi dog

Janwal Pashmi is the medium sized dog found in the villages of Chakur tehsil of Latur and adjoining districts of Marathwada region of Maharashtra. Present investigation was carried out by collecting morphometric data on 207 Janwal Pashmi dogs from its breeding tract. Data collected was classified into two age groups, i.e. below one year (puppies) and above one year (adult). Majority of the dogs were found to be black in colour (78.26%), however, fawn (8.69%), brown (4.34%), grey (5.79%) and white (2.89%) were also noticed. Most of the dogs were found to have medium hairs length (51.20%) followed by long hairs (43.47%) and rarely short hair length (5.31%). The head was straight and wedge shaped with 69.56% and 30.43%, respectively. The colour of nostrils in majority of dogs was black (95.16%) and very few dogs had brown (3.86%) and pinkish (0.96%) colour nostrils. Eyes were light brown (47.34%) to dark brown (52.65%). Majority of dogs had long ear (54.58%) while medium sized ears were observed in 42.02% of dogs. Morphometric characters studied were body weight (BW), height at wither (HW), body length (BL), chest girth (CG), paunch girth (PG), tail length (TL), head length (HL), height at base of tail (HBT), neck length (NL), neck girth (NG), ear length (EL), ear width (EW), eye width (EYW), hind foot length (HFL), upper hind leg length (UHLL), lower hind leg length (LHLL), fore foot length (FFL), upper fore leg length (UFLL) and lower fore leg length (LFLL). The effect of sex was found to be non-significant on all the traits in puppies except BW, HW, HBT, NL, UHLL and UFLL. However, BW, HW, BL, CG, TL, HL, HBT, NL, NG, HFL, UHLL, LHLL, FFL and UFLL were found significantly higher in males of adult age group. Both vegetarian and non-vegetarian food was given to dogs and majority of farmers used iron mesh cages for keeping dogs. The characterization of Janwal Pashmi dog done in this study may help in the registration of this dog as a breed status and further conservation.

Prediction of Live Weight and Carcass Characteristics from Linear Body Measurements of Yearling Male Local Sheep

Measurements of the body structure in sheep are worthy of judging the quantitative features of meat and useful in developing appropriate selection requirements. The current study was aimed to predict live weight and hot carcass weight from linear body measurements of yearling male local sheep. 84 days feeding period fortnightly taken data on 24 local sheep for body weight, body length, heart girth, wither height, sub-sternal height, tail length, tail width, scrotal circumference, and scrotal length were analyzed to study the relationship between linear body measurements and body weight. At the end of the trial all sheep were slaughtered to measure the relationship between body measurements, and hot carcass weight. Microsoft Excel 2010 was used for data analysis. The relationships between the various body measurements were calculated using pearson's correlation coefficient. The backward stepwise multiple regression procedure was used for the determination of the most suitable model for the prediction of the live weight and hot carcass weight. Hot carcass weight was highly correlated (P&lt;0.01) with body weight and scrotal circumference. Besides, it was significantly (P&lt;0.05) correlated with tail width. Body weight was significantly (P&lt;0.05) correlated with all body measurements except tail length and scrotal length. It is concluded that the body weight of the local sheep can be predicted with heart girth, sub-sternal height and tail width; the equation is LW= -97.2 + 0.36HG + 2.1SBSH + 0.57TW with a better coefficient of determination; R2 = 0.55 and the hot carcass weight can be predicted with sub-sternal height and tail width; the equation is HCW= -75.66 + 1.75SBSH + 0.85TW with a coefficient of determination; R2 = 0.33. But, hot carcass can be predicted with body weight, the equation is HCW= -9.39+0.85BWT when weighing scales are affordable with a better coefficient of determination; R2= 0.557.

Identification of candidate genes associated with growth and development of sheep from a crossbred population using genome-wide association studies

The article presents the results of a search for genome-wide associations with phenotypic traits characterizing the growth and development of sheep from a crossbred population obtained from crossing Romanov sheep and F1 hybrid rams (Romanov sheep x Katahdin). The phenotype database included ten body measurements (withers height, sacral height, back height, chest depth, chest width, ischial tuberosity width, body length, oblique body length, chest girth, pastern girth) recorded at the age of 6 days, 3, 6 and 9 months. Genotyping of sheep was carried out using high-density DNA chips containing about 600,000 SNP markers. Genome-wide association studies (GWAS) were performed using regression analysis in the STATISTICA 10 program. The search for candidate genes localized in the SNP region was performed using Ensembl genome browser 110. There was carried out an analysis of the matches of the identified SNPs with known quantitative trait loci (QTLs) described in the Sheep Quantitative Trait Locus Database. There were found SNPs that were significantly associated with the studied phenotypic traits overlapped with the QTLs, among which the most common categories were “Body weight (slaughter)”, “Muscle weight in carcass”, “Body weight (live)” and “Bone weight in carcass”. There has been established that SNPs significantly associated with exterior traits were localized within or in the immediate vicinity of 64 genes. There were found potential candidates regulating the growth of muscle (FOXO3, PRKAG3, MYOZ2, and ANKRD1) and cartilage tissues FGF12) and involved in metabolic processes, which were critical for the growth of lambs (CLDN, ALB, and MRC1). Along with the known in sheep functional candidates (CAST and SCD5) , there were identified genes that were not previously described in sheep, but regulated growth and development processes in other livestock species including genes RAB28, PRKAG3 and FOXO3. The identified SNPs can be recommended for inclusion in marker-guided selection programs in sheep breeding.

Morphometric Study of the Algerian Dromedary Population Reguibi (Camelus dromedarius L. 1758)

Background: The morphometric study of the Algerian dromedary population, specifically the Reguibi breed (Camelus dromedarius), involves analyzing various physical measurements and characteristics of these camels. Morphometric studies aim to understand the phenotypic diversity within a population, which can provide insights into their adaptation, genetic variability and potential for selective breeding or conservation efforts. Methods: This study used 60 live dromedaries from the Tindouf slaughterhouse in Algeria’s extreme southwest. The animals, 30 males and 30 females, were adults over the age of five years old who grazed in Tindouf’s southwestern regions. After four measurements, the substernal void index and live weight were calculated. Result: The mean live weights for males were 507.9 kg ± 97.3 kg and 445.6 kg ± 63 kg for females. The average withers height was 1.94±0.10 m for males and 1.84±0.10 m for females. The findings were compared to previous studies on Sahraoui, Targui and Steppe Camels. To the best of our knowledge, this is the first study of the Reguibi population in this region.

Evaluation of angular, linear, and body index measures of pêga donkeys (Equus Asinus) from southeast of Brazil

The objective of this study was to perform body evaluation of Pêga donkeys (40 females and 10 males) from the Southeast Region of Brazil. Hippometer, measuring tape, and arthrogoniometer were used, considering the left antimere of the animals in a forced quadrupedal position. The analysis of variance showed a difference (p&lt;0.05) between males and females for chest width, CPr, withers height, croup height, body length, back-loin length, posterior pastern length, and the angle of the tibiometatarsal joint. The values for body length, anterior pastern length, scapulohumeral angle, and metacarpophalangeal joint differed (p&lt;0.05) between farms. Compactness index 1 and conformation index classified the animals as suited for saddle activities, and compactness index 2 classified them as suited for light drafting. The dactylothoracic index classified the animals into eumetric. Cannon load index was similar between sexes and between states. The load on the back by step index was 167.9±12.6 kg, and the LGI was 95.9±6.0 kg, equal between sexes and higher for the animals from RJ. It is concluded that the Pêga breed has sexual dimorphism and regional selection, interfering with morphometry and aptitude for saddle and light draft.

Carryover effects of maternal late-gestation heat stress on granddaughters' growth and mammary gland development

Maternal (F0) exposure to late-gestation heat stress reduces their daughter's (F1) mammary gland fat pad mass (FP), parenchyma (PAR) mass, and epithelial cell proliferation when evaluated at birth and weaning, and go on to produce less milk in their first lactation. Herein, we investigated the effect of maternal late-gestation heat stress on whole-body growth and mammary development of their granddaughters (F2). Multiparous F0 cows had access to heat abatement (n = 41, shade, and active cooling via fans and water soakers) or not (n = 41, shade only) for the last 56 d of gestation during a subtropical summer. Consequently, the F1 daughters, born to F0 cows, were heat-stressed (HTF1, n = 36) or cooled (CLF1, n = 37) in utero during the last 2 mo of gestation. All F1 heifers were raised as an identically managed cohort until first calving. The F2 granddaughters, born to HTF1 (HTF2, n = 12) or CLF1 (CLF2, n = 17), were raised as an identically managed cohort until 70 d of age. Dry matter intake (DMI), body weight, hip height, wither height, chest girth, head circumference, mammary gland teat length, and left-right and front-rear teat distances were measured. Average daily gain (ADG) was calculated for the pre-weaned period (0-49 d). Mammary ultrasounds were performed on d 21, 49, and 70 (n = 9/group) on the rear left and right quarters to quantify PAR and FP areas. Mammary biopsies were collected for histological evaluation of epithelial structures (H&E staining), and to quantify cells positive for ERα (estrogen receptor, α subunit), cell proliferation (Ki67), and apoptosis (TUNEL). Heifer growth from birth to d 49 was similar between CLF2 and HTF2 for all parameters evaluated. Distances between teats and teat length were not different between groups. On d 70, CLF2 tended to have a greater average PAR (right and left quarters) relative to HTF2. Although the left FP was smaller in HTF2 relative to CLF2, the average FP was not different. The lumenal and non-lumenal epithelial structures in the PAR of HTF2 were significantly smaller than those of CLF2. In addition, HTF2 had a reduced percentage of proliferating cells in the epithelial and stromal compartments and a greater percentage of apoptotic cells, particularly in the stroma. The percentage of ERα positive cells was significantly reduced in HTF2. In summary, although HTF2 heifer's DMI was similar and they grew at the same rate as CLF2 heifers throughout the pre-weaning phase, their mammary glands had smaller PAR areas with fewer epithelial structures characterized by reduced cell turnover and lower ERα expression. These early changes in the microstructure and cellular turnover of the mammary gland may partly explain the reduction in lactation performance relative to CLF2 counterparts at maturity.

Morphological characterization and the relationship between morphometric indices of a local Cyprus fat–tailed Sheep breed in Cyprus

With many local breeds in danger of extinction or genetic erosion, the loss of genetic variety in farm animal genetic resources is an increasingly critical concern. Conserving diverse sheep breeds is crucial for long–term agricultural sustainability and ecosystem health. The current research focused on the Cyprus fat–tailed sheep, which is important for both meat and milk production, particularly to produce Halloumi cheese. A study on a Cyprus sheep production farm was carried out with the aim to characterize the morphological traits of Cyprus fat–tailed sheep breed for its conservation. The study found that in female Cyprus fat–tailed sheep, white, white–black, and brown coat color patterns were the common ones recorded with proportions of 75, 12.5, and 12.5%, respectively. Sixty seven percent of males were white–black followed by white coat color in 33%. Male sheep are all characterized by white fleece, while females had a range of fleece colors with the majority in white (75%) followed by pale greyish brown in 18.75% and fawn fleece in 6.25%. On the other hand, male Cyprus fat–tailed sheep had higher values (P&lt;0.05) for wither height, heart girth, chest width, hip height, foreleg length, compact index, area index, and body weight than females. Morphometric traits, such as head length, wither height, heart girth, chest depth, body length, and hip height, were significantly positively (P&lt;0.01) correlated with body weight. The study concludes that the characterization of the Cyprus fat–tailed sheep breed’s physical and morphological traits is essential and useful for its conservation.

Response to Incremental Replacement of Palm Oil with Fish Oil in Starter Diet on Growth Performance, Plasma Metabolites, Ruminal Fermentation, and Behavior of Dairy Calves.

The objective of this study was to evaluate the effects of the incremental levels of n-3 fatty acids (FA) in starter feed (SF) on growth and metabolic performance of milk-fed calves. From day 3 of age, 30 female calves (39.4 ± 3.1 kg of body weight) were randomly assigned to one of three dietary treatments: (1) SF supplemented with 3.3% palm fatty acids (PO), (2) SF supplemented with 1.7% of PO and 1.9% fish oil (PFO), or (3) SF supplemented with 3.9% fish oil (FO). Chopped straw (7.5% of DM) was included in the SF of all treatments as total mixed ration (TMR). Diets had similar energy and protein contents. Total n-3 FA (% of total FA) and n-6/n-3 of PO, PFO, and FO were 1.90, 6.80, and 11.8 and 15.5, 4.50, and 2.70, respectively. The BW was greater for calves receiving FO (60.2 ± 0.3 kg) compared with PFO (58.7 ± 0.3 kg; p = 0.007) and tended to be greater for calves receiving FO vs. PO (59.0 ± 0.3 kg; p = 0.050). Because there was no interaction effect between diet × week of experiment, the greater BW of FO could not be attributed to the dietary treatment. Accordingly, average daily gain, total dry matter intake (DMI), starter DMI, and gain to intake ratio (G:FI) did not differ among dietary treatments during the entire period of the study (p > 0.05). Dietary treatments did not impact body size parameters such as body length, body girth, withers height, heart girth, hip height, and width (p > 0.05). Neither ruminal fermentation parameters nor blood variables were influenced by supplementing the types of oil at different time points. Calves' behavioral parameters, such as standing, lying, eating, and ruminating, were not influenced by different dietary treatments (p > 0.05). The number of days with abnormal fecal score was not different among dietary groups (p > 0.05). Overall, our findings suggest that changing the n-6/n-3 ratio in starter feed by incremental replacement of palm fatty acid with fish oil at a moderate supplemental level of ~3% of DM may not affect the growth and metabolic performance of young calves under non-challenged conditions.

139 Impact of supplementing rumen-protected methionine during the periconceptional period in the post-weaning period in female calves

Abstract This study aimed to identify the impact of supplementing rumen-protected methionine (RPM) during the periconceptional period on beef cows in their progeny. Evidence suggests that changes in maternal nutrition in the periconceptional period have effects during the postnatal growth phase in cattle. We hypothesized that feeding RPM during the periconceptional period would program bovine gestation to enhance progeny growth. A total of 114 beef cows were fed a roughage-based diet and randomized to receive corn gluten supplemented with 15 g of RPM (Smartamine M, Adisseo) or not (CON) from d -7 to +7 relative to artificial insemination (AI) with female sex-sorted semen. Pregnancy diagnoses were conducted using transrectal ultrasonography 30 and 60 d after AI. Female calves (n = 34) remained with their dams until weaning. A month after weaning, calves were weighed every 14 d during an 8-mo period, and wither height (WH), body length (BL), and heart girth (HG) were measured. Dry matter intake (DMI), average daily gain (ADG), and residual feed intake (RFI) were measured during a 56-d performance test. At the end of the performance test, the 12th rib back fat (BF), ribeye area (REA), intramuscular fat (IMF), and rump fat (RF) were determined via ultrasound. A treatment-by-day interaction tendency (P = 0.10) was observed in HG, having larger HG in the RPM treatment from d 336-adj of age (CON = 154.52 ± 1.46 cm; RPM = 158.36 ± 1.34 cm). During the performance test, animals in the RPM treatment were heavier (CON = 437.25 ± 2.46 kg; RPM = 442.79 ± 2.34 kg; P = 0.01) at the end of the test. However, no treatment difference (P &amp;gt; 0.05) was observed in DMI (CON = 12.06 ± 0.19 kg/d; RPM = 12.14 ± 0.18 kg/d), ADG (CON = 1.50 ± 0.03 kg; RPM = 1.55 ± 0.03 kg) and RFI (CON = -0.12 ± 0.15; RPM = 0.11 ± 0.14). No treatment difference (P &amp;gt; 0.05) was observed in BF, REA, and IMF. However, RF was greater in the control treatment (CON = 1.16 ± 0.07 cm; RPM = 0.91 ± 0.06 cm), and a tendency of having a thicker BF in control was observed (Table 1). In conclusion, supplementing RPM enhanced final body weight during the performance test; furthermore, a treatment-by-day interaction tendency was observed in HG. On the contrary, CON progeny had more RF and a tendency to have a thicker BF.

Evaluation of models for estimation of genetic parameters for post-weaning body measurements and their association with yearling weight in Nellore sheep.

The objective of this study was to obtain (co) variance components and genetic parameter estimates for post-weaning body measurements such as body length (BL), height at withers (HW), and chest girth (HG) recorded at six (SBL, SHW, and SHG), nine (NBL, NHW, and NHG) and twelve (YBL, YHW, and YHG) months of age along with yearling weight (YW) in Nellore sheep maintained at livestock research station, Palamaner, Andhra Pradesh, India and also the association among body measurements with YW was studied. Data on 2,076 Nellore sheep (descended from 75 sires and 522 dams) recorded between 2007 and 2016 (10 years) were utilized in the study. Lambing year, sex of lamb, season of lambing and parity of dam were included in the model as fixed effects and ewe weight was kept as a covariate. Analyses were conducted with six animal models with different combinations of direct and maternal genetic effects using restricted maximum likelihood procedure. Best model for each trait was determined based on Akaike's information criterion. Moderate estimates of direct heritability were obtained for the studied traits viz., BL (0.02 to 0.24), HW (0.31 to 0.49), and CG (0.08 to 0.35) and their corresponding maternal heritability estimates were in the range of 0.00 to 0.07 (BL), 0.13 to 0.17 (HW), and 0.07 to 0.13 (CG), respectively. Positive direct genetic and phenotypic correlations among the traits and they ranged from 0.07 (YBL-YW) to 0.99 (SBL-SHG, SHG-YW, and NBL-YBL) and 0.01 (SBL-YBL) to 0.99 (NBL-NHG), respectively. Further, the genetic correlations among all the body measurements and YW were positive and ranged from 0.07 (YW and YBL) to 0.99 (YW and SHG). There was a strong association of chest girth at six months with YW. Further, it is indicated that moderate improvement of post-weaning body measurements in Nellore sheep would be possible through selection.

Use of machine learning approaches for body weight prediction in Peruvian Corriedale Sheep

The goal of this study was to predict the body weight of Corriedale ewes using machine learning (ML) algorithms. Fourteen body measurements (BM) and six different machine learning models were used. Body weight (BW) and BM: wither height (WH), rump height (RH), thoracic perimeter (TP), abdominal perimeter (AP), foreshank length (FSL), fore-shank width (FSW), fore-shank perimeter (FSP), tail width (TW), tail perimeter (TPe), hip width (HW), loin width (LWi), shoulder width (SW), forelimb length (FL), and body length (BL), were collected from 100 Corriedale ewes between 1.5 and 2 years old from the Illpa Experimental Centre of the National University of Altiplano in Peru. The machine learning algorithms used to estimate body weight were Support Vector Machines for Regression (SVMR), Classification and Regression Trees (CART), Random Forest (RF), Model Average Neural Networks (MANN), Multivariate Adaptive Regression Splines (MARS) and eXtreme Gradient Boosting (XGBoost). The performance of the models was evaluated by the coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE). Highly correlated predictors (r ≥ 075) were removed from the dataset. The remaining predictors were then subjected to variable selection procedures using the Boruta algorithm. Boruta results confirmed the importance of TP, LWi, BL, FSL, SW and HW as predictors of ewe weight. The ML models were then trained on those selected predictors. RF had the highest R2 values and lowest values of MAE, RMSE, and MAPE. In conclusion, the RF algorithm can be recommended for accurately estimating BW from body measurements of Corriedale sheep.

Cattle Weight Estimation Using Linear Regression and Random Forest Regressor

The global cattle farming industry has benefits as a food source, livelihood, economic contribution, land environmental restoration, and energy source. The importance of predicting cow weight for farmers is to monitor animal development. Meanwhile, for traders, knowing the animal's weight makes it easier to calculate the price of the animal meat they buy. The authors propose estimating cattle weighting linear regression and random forest regression. Linear regression can interpret the linear relationship between dependent and independent variables, and random forest regression can generalize the data well. The data set used in this study consisted of ten variables: live body weight, withers height, sacrum height, chest depth, chest width, maclocks width, hip joint width, oblique body length, oblique back length and chest circumference. Find the model that produces the smallest MAE value. The results show that the linear regression algorithm can produce estimated weight values for cattle with the best performance. This model produces a mean absolute error (MAE) of 0.35 kg, a mean absolute percentage error (MAPE) of 0.07%, a root mean square error (RMSE) of 0.5 kg, and an R² of 0.99. Each variable has excellent correlation performance results and contributes to computer vision and machine learning.

Assessment of the impact of phenotypic traits and the festival of Eid Al-Adha on the prices of small ruminants in the livestock market "Sougr-Nooma" in Ouagadougou

This study aimed to assess the impact of phenotypic parameters and festive events on the price of small ruminants in Burkina Faso. A semi-directive survey using a quiz was conducted among sheep customers at the "Sougr-Nooma" livestock market in Tanghin, Ouagadougou. Data collection focused on Aid El Kebir and lasted for three weeks. The collected data included the prices and some physical characteristics (both quantitative and qualitative) of the animals. The survey covered 120 sheep sold on this market along with 120 buyers. Live weight was the most important quantitative phenotypic parameter in determining the price of sheep (r=0.91). For every kilogram increase in live weight, the selling price increased by 2703.71 F CFA. Removing live weight from the linear regression model revealed that withers height and thoracic girth could also determine animal prices. This model accounted for 53.12% of the variation in the price per animal. The significant influence of thoracic perimeter and withers height on the price of sheep could be attributed to their role in estimating live weight in the absence of a scale. Regarding qualitative traits breed and coat structure were the most influential factors on animal prices. Additionally, animal prices were significantly higher before the Tabaski festival compared to post-festival prices (84,605.26±9,087.59 vs. 61,905.94±3,941.53 F CFA).

Early Cannon Development in Females of the "Sanmartinero" Creole Bovine Breed.

The variation in the dimensions of the body of living beings in relation to their size, function, or shape is known as allometry. Allometry studies allow the analysis of the function of body structures and their relationship with the performance and survival of breeds and species. The aim of this study was to describe the ontogenetic characteristics of the weight of certain bone elements of the Sanmartinero creole bovine breed, from an early age (6 months) until maturity. A total of 79 females of the Sanmartinero creole bovine breed with an age range of 0.5 to 10 years were studied. Body measurements were obtained individually using standard procedures: cannon perimeter, thoracic perimeter, body length, withers height, and body weight. Functional and production indices were obtained for animals aged more than 3 years (n = 53): corporal index, anamorphosis index, dactylo thoracic index, and the relative thickness of the cannon. The correlation between body weight and the cannon perimeter showed no trend towards a plateau. In the Sanmartinero creole bovine, therefore, a very early development of the cannon perimeter is detected, which could lead to bone fragility in heavier animals. Therefore, data suggest little harmony with appendicular bone development, i.e., with less robust cannons which are those necessary to support body mass. It is suggested that in genetic improvement programs of the Sanmartinero creole bovine, the measurement of the cannon perimeter, the withers height, and the thoracic perimeter should be considered.