NONVOLANT MAMMALS IN A FRAGMENT OF ARBOREAL CAATINGA IN NORTHEASTERN BRAZIL

The state of Paraiba is one of those with the most degraded Caatinga that presents the large gap of knowledge concerning the mammal fauna. Mammals are among the taxa most affected by this. In this sense, we evaluated non-volant mammals’ richness and composition between March 2013 and February 2020 in a Caatinga fragment (121 ha). We used active search (336 hours) and camera traps (1,200 night traps). We recorded 20 species, including four threatened ones. Carnivora was the most representative order (7 species), followed by Rodentia (4 species). The richness of non-volant mammals found represents 35.6 % of the total number of such species in the Caatinga. This species richness is greater than that found in other studies in the state. The presence of these mammal species was mainly due to the recovering vegetation that resulted from the great planting effort and also due to cessation of hunt, cattle and sheep breeding that had existed on the farm for over thirty years. Our findings highlight the importance of this particular reserve due to the large number of species registered.

High-Resolution Gridded Livestock Projection for Western China Based on Machine Learning

Accurate high-resolution gridded livestock distribution data are of great significance for the rational utilization of grassland resources, environmental impact assessment, and the sustainable development of animal husbandry. Traditional livestock distribution data are collected at the administrative unit level, which does not provide a sufficiently detailed geographical description of livestock distribution. In this study, we proposed a scheme by integrating high-resolution gridded geographic data and livestock statistics through machine learning regression models to spatially disaggregate the livestock statistics data into 1 km × 1 km spatial resolution. Three machine learning models, including support vector machine (SVM), random forest (RF), and deep neural network (DNN), were constructed to represent the complex nonlinear relationship between various environmental factors (e.g., land use practice, topography, climate, and socioeconomic factors) and livestock density. By applying the proposed method, we generated a set of 1 km × 1 km spatial distribution maps of cattle and sheep for western China from 2000 to 2015 at five-year intervals. Our projected cattle and sheep distribution maps reveal the spatial heterogeneity structures and change trend of livestock distribution at the grid level from 2000 to 2015. Compared with the traditional census livestock density, the gridded livestock distribution based on DNN has the highest accuracy, with the determinant coefficient (R2) of 0.75, root mean square error (RMSE) of 9.82 heads/km2 for cattle, and the R2 of 0.73, RMSE of 31.38 heads/km2 for sheep. The accuracy of the RF is slightly lower than the DNN but higher than the SVM. The projection accuracy of the three machine learning models is superior to those of the published Gridded Livestock of the World (GLW) datasets. Consequently, deep learning has the potential to be an effective tool for high-resolution gridded livestock projection by combining geographic and census data.

Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations

Local cattle and sheep populations are important for animal production and food security in South Africa. These genetic resources are well adapted to the diverse climatic conditions and hold potential to be utilized in production systems subjected to climate change. The local beef breeds are well integrated into commercial livestock production systems with access to performance recording and genetic evaluations, while local sheep breeds are mainly utilised in smallholder and communal systems. The GeneSeek® Genomic Profiler™ Bovine 150 K SNP genotyping array was used to evaluate the diversity and inbreeding status of four indigenous (Boran, Drakensberger, Nguni, Tuli), two composite (Bonsmara and Beefmaster) and two exotic (SA Hereford and Charolais) beef breeds. The Illumina® Ovine 50 K SNP BeadChip was used to investigate five indigenous (Black Head Persian, Damara, Fat tail, Namaqua Afrikaner, Pedi) and three commercial (Dorper, Dohne Merino and SA Merino) populations. Although ascertainment bias was indicated by the low MAF (the autosome-wide proportion of SNPs with MAF< 0.05 ranged from 6.18 to 9.97% for cattle, and 7.59–13.81% for sheep), moderate genomic diversity was observed (mean Ho ranged from 0.296 to 0.403 for cattle, and 0.327 to 0.367 for sheep). Slightly higher levels of ROH-based inbreeding were calculated for cattle (FROH range: 0.018–0.104), than for sheep populations (FROH range: 0.002–0.031). The abundance of short ROH fragments (mean proportion of <4 Mb fragments: 0.405 for cattle, and 0.794 for sheep) indicated ancient inbreeding in both species. The eight cattle populations were categorized into indicine, taurine or Sanga subspecies based on principal component, model-based clustering and phylogenetic analyses, with high levels of admixture observed within the Drakensberger, Nguni and Tuli breeds. Within the sheep populations, a clear distinction could be seen between the dual-purpose breeds, the meat breed and the indigenous breeds. Despite directional selection practiced in the cattle breeds, genomic diversity was moderate with low inbreeding. The non-commercialized, indigenous sheep populations are more vulnerable with small effective populations. These results emphasise the value of genomic information for effective management to exploit the potential contribution of local genetic cattle and sheep resources in a changing environment.

179 The Effect of Sward Type on the Performance of Co-grazed Cattle and Sheep

A farmlet study was established to evaluate the effect of four sward types on the performance of heifers and lambs co-grazing: a perennial ryegrass only sward (PRG) receiving 170 kg N/ha each year; a permanent pasture (PP) receiving 135 kg N/ha each year; a six species mix (2 grasses, 2 legumes, 2 herbs) at 70 kg N/ha each year (6SP); and a 12 species mix (3 grasses, 4 legumes and 5 herbs) at 70 kg N/ha each year (12SP). Each farmlet (9 ha) was rotationally grazed with 20 dairy cross heifers (13 months old) and 22 ewes plus lambs from April to November 2020. Heifers and lambs were finished for slaughter from herbage only diets. Heifers were weighed monthly and drafted for slaughter on three occasions when their estimated fat class on the EUROP grid scale reached 3-. Lambs were weighed fortnightly and drafted for slaughter at 42 kg [lambing to weaning (July 7th)], 44 kg (weaning to September) and 46 kg (after September 1st) to obtain a target carcass weight of 21 kg. Average daily gain (ADG) was higher for heifers grazing the 6SP sward (1.13 kg/day) than the PRG (0.99 kg/day) or PP swards (1.03 kg/day; P < 0.05). Kill out percentage (KO%) was higher for heifers grazing the 12SP sward (48.9%) compared to the PP sward (47.2%; P < 0.01). Lamb ADG was higher for lambs grazing the 6SP sward (0.38kg/day) compared to lambs grazing either the PP (0.32kg/day) or the PRG sward (0.29kg/day) (P < 0.01). Lamb KO% was higher for lambs grazing the 12SP sward (49.4%) compared to those grazing the PRG (45.7%) and the PP swards (44.5%; P < 0.01). Lambs grazing the 6SP sward had reduced days to slaughter (109) compared to lambs grazing the PP (137) and PRG (149) swards (P < 0.01). In conclusion, co-grazing multispecies swards improved overall heifer and lamb performance.

Parasitic infection of livers and lungs in cattle and sheep in Constantine slaughterhouses, Algeria, in 2009-2018

A retrospective study was carried out from registers of the slaughterhouses of Constantine, Algeria, on 145,919 cattle and 345,282 sheep apparently healthy, slaughtered between 2009 and 2018. The objective was to estimate the prevalence of the two dominant parasitic infections which cause gross lesions in liver and lungs, i.e. cystic echinococcosis (CE) and Fasciola hepatica infection. The postmortem examination consisted in a visual inspection of the organs, palpation of lungs and livers, and systematic incision of livers, performed according to FAO procedures. The prevalence of F. hepatica infection was significantly higher in cattle (2.7%) than in sheep (0.2%). There was a non-significant decrease from 4.5 to 2.0% (p > 0.05) in the prevalence of F. hepatica in cattle during the 10-year period. The prevalence of CE in the livers and lungs was significantly higher in cattle (3.3% and 9.7%, respectively) than in sheep (0.6% and 1.1%, respectively). The prevalence of CE was significantly higher in lungs than in livers. These results showed the importance of these parasitic infections in the province of Constantine and its surroundings, which requires the implementation of control programs against these infections in both sheep and cattle.

Development of a competitive chemiluminescence immunoassay using a monoclonal antibody recognizing 3B of foot-and-mouth disease virus for the rapid detection of antibodies induced by FMDV infection

Background Foot-and-mouth disease (FMD) is a devastating animal disease. Anti-non-structural protein (NSP) antibody detection is very important for confirming suspected cases, evaluating the prevalence of infection, certifying animals for trade and controlling the disease. Methods In this study, a competitive chemiluminescence immunoassay (3B-cCLIA) was developed for the rapid detection of antibodies against NSPs in different species of livestock animals using the monoclonal antibody (mAb) 9E2 as a competitive antibody that recognizes NSP 3B. Results The cut-off value (50%), diagnostic sensitivity (Dsn) (97.20%, 95.71%, and 96.15%) and diagnostic specificity (Dsp) (99.51%, 99.43%, and 98.36) of the assay were estimated by testing a panel of known-background sera from swine, cattle and sheep, respectively. The accuracy rate of the 3B-cCLIA was further validated and subsequently compared with that of two commercial diagnostic kits. The early diagnostic results showed that antibodies recognizing NSPs developed later (approximately 1–2 days) than antibodies recognizing structural proteins. Furthermore, anti-NSP antibody presence in animals vaccinated multiple times (false positives), especially cattle and sheep, was confirmed, and the false-positive rate increased with the number of vaccinations. Conclusions These results indicate that the 3B-cCLIA is suitable for the rapid detection of antibodies against FMDV NSP 3B in a wide range of species.