Technologies for automating animal management and monitoring tasks can improve efficiency and productivity of livestock production. We developed the e-Synch system for automated control and monitoring the estrous cycle of cattle through intravaginal hormone delivery and sensing. Thus, our objective was to evaluate luteinizing hormone (LH) concentrations after intravaginal instillation of the Gonadotropin-releasing hormone (GnRH) analogue Gonadorelin with the e-Synch system. This system consists of an intravaginal electronically controlled automated hormone delivery and sensing device integrated with an IoT platform. Lactating Holstein cows with their estrous cycle synchronized were used in two experiments (Exp). In Exp 1, at 48 h after induction of luteolysis, cows (n=5-6 per group) were randomized to receive 100 µg of Gonadorelin through intramuscular (i.m.) injection, 100 µg of Gonadorelin in a 2 mL solution delivered with e-Synch, and an empty e-Synch device. In Exp 2, at 48 h after induction of luteolysis cows (n=6-7 per group) were randomized to receive 100 µg of Gonadorelin i.m., or an intravaginal treatment with e-Synch consisting of 100 or 1,000 µg of Gonadorelin in 2 or 10 mL of solution containing 10% citric acid as absorption enhancer. Circulating concentrations of LH were analyzed with linear mixed models with or without repeated measurements. In Exp 1, cows in the i.m. Gonadorelin treatment had a surge of LH whereas cows in the other two treatments did not have a surge of LH for up to 8 h after treatment. In Exp 2, the 1,000 µg dose of Gonadorelin elicited more LH release than the 100 µg dose, regardless of solution quantity. The overall LH response as determined by area under the curve, mean, and maximum LH concentrations was similar between cows receiving 1,000 µg of Gonadorelin delivered with e-Synch and 100 μg of Gonadorelin i.m. Increasing volume of solution for delivering the same dose of Gonadorelin partially increased LH release only for the 100 µg dose. We conclude that the e-Synch system could be used to automatically release Gonadorelin in a dose and volume that induces a surge of LH of similar magnitude than after i.m. injection of 100 μg of Gonadorelin. Also, the dose of Gonadorelin delivered by e-Synch is more critical than the volume of solution used.

Routinely collected sensor data could be used in metritis predictive modeling but a better understanding of its potential is needed. Our objectives were 1) to compare the performance of k-nearest neighbors (k-NN), random forest (RF), and support vector machine (SVM) classifiers on the detection of behavioral patterns associated with metritis events measured by a leg-attached accelerometer (TrackaCow, ENGS, Hampshire, UK); 2) to study the impact of farm scheduled activities on model performance; and 3) to identify which behaviors yield the highest F1 score for metritis prediction as a function of the number of time window and time-lags. A total of 239 metritis events (188 non-metritis and 51 metritis events) were retrospectively created based on changes in two consecutive uterine evaluations from a dataset containing sensor and clinical data during the first 21 days postpartum between June 2014 and May 2017. These events were associated with a total of 10,874 - 14,138 data points corresponding to hourly measurements of lying time, lying bouts, steps, intake, and intake visits. Sensor data corresponding to the 3 days before each metritis event were aggregated every 24-, 12-, 6-, and 3-hour time windows. Multiple time-lags were also used to determine the optimal number of past observations needed for optimal classification. Similarly, different decision thresholds were compared. Depending on the classifier, algorithm hyperparameters were optimized using grid search (RF, k-NN, SVM) and random search (RF). All behaviors changed throughout the study period and showed distinct daily patterns. From the three algorithms, RF had the highest F1 score, with no impact of scheduled farm activities on classifier performance. Furthermore, 3- and 6-hour time windows had the best balance between F1 scores and number of time-lags. We concluded that steps and lying time can be used to predict metritis using data from 2 to 3 days before a metritis event. Findings from this study will be used to develop more complex prediction models that could identify cows at higher risk of experiencing metritis.

IntroductionThe textile industry considers alpaca fiber to be a specialty fiber. The aim of this study was to evaluate the influence of color, breed, location, age, and sex of alpacas on fiber quality characteristics and staple length.MethodsFiber samples were taken from the mid-side of 118 Huacaya and Suri alpacas at two livestock shows (Pitumarca and Maranganí) and at CICAS La Raya (South American Camelid Research Center), which is located in the province of Canchis (Cusco, Peru).Results and discussionThe fiber characteristics and staple length in black alpacas are similar to those of brown alpacas. Huacaya fiber is finer, having a lower mean fiber diameter (MFD), SD, and coefficient of variation of MFD than Suri fiber. Alpacas from the two livestock shows have higher-quality fiber than unselected alpacas raised in CICAS La Raya. Staple length is longer in Suri alpacas than in Huacaya alpacas. Likewise, the staple length is longer in alpacas from Pitumarca, followed by alpacas from Maranganí, and is shorter in alpacas from CICAS La Raya. Young alpacas have a shorter staple length than adults, and it is longer in females than in males. The mean fiber diameter and spinning fineness are strongly correlated with other fiber characteristics in colored alpacas.ConclusionThese black and brown alpacas raised in small herds and judged in two livestock shows produce high-quality fiber at 22 µm for the textile industry.

IntroductionTo prepare laying hens for life in cage-free aviaries, they must be reared in aviaries that accustom them to the challenges of navigating a complex three-dimensional structure. Rearing aviaries vary in design and contain a brooding compartment in which chicks are confined during the first six weeks of age. These compartments vary greatly in their size and complexity. The present study aimed to examine the impact of environmental complexity during early life and birds’ genetic strain on their space use and forms/types of exercise.MethodsFour consecutive flocks of brown and white chicks were raised in three styles of rearing aviary with low, intermediate, or high complexity. Behavioral observations were performed at three ages during the brooding phase (weeks 1, 3, and 5) and the open phase when the brooding compartments were opened (weeks 7, 11, and 17). Behaviors observed were categorized as aerial locomotion, perching, dynamic load-bearing behavior (DLB), and wing-involved load-bearing behavior (WLB).ResultsDuring the brooding phase, chicks in aviaries of high complexity exercised most frequently (e.g., DLB events/minute: 1.75 in High vs 1.11 in Mid and 0.10 in Low, p<0.0001), and the effect remained for whites, but not the browns, during the open phase. White pullets exercised more than brown pullets both in brooding (e.g., 1.47 vs 1.28 DLB events/minute, p<0.0001) and open phases in High and Mid (e.g., 1.17 vs 0.93 DLB events/minute, housing x stain interaction p=0.009). Throughout rearing, whites had higher odds of perching than browns (brooding: 0.52 vs 0.45, p=0.04, open: 0.27 vs 0.17, p=0.0007).DiscussionWe concluded that rearing aviary design can affect behavior during the brooding phase; however, once the brooding compartments were opened, housing differences almost exclusively affected white pullets. The data suggest that genetic strain of birds must be considered in the design of pullet housing with the goal of maximizing space use and musculoskeletal development of laying hen pullets.

Once thought to be sterile, the reproductive tract microbiome has been characterized due to the transition from culture-dependent identification of bacteria to culture-independent sequencing methods. The urogenital microbiome was first identified in women through the Human Microbiome Project, which led to research in other species such as the bovine. Previous research focused on uterine bacteria associated with postpartum disease, but next generation sequencing methods identified a normal, healthy bacterial community of the reproductive tract of cows and heifers. Bacterial communities are now understood to differ between the uterus and vagina, and throughout the estrous cycle with changes in hormone dominance. In a healthy state, the bacterial communities largely interact with the uterine environment by assisting in maintaining the proper pH, providing and utilizing nutrients and metabolites, and influencing the immunological responses of the reproductive tract. If the bacterial communities become unbalanced due to an increase in potentially pathogenic bacteria, the health and fertility of the host may be affected. Although the presence of a reproductive tract microbiome has become widely accepted, the existence of a placental microbiome and in utero colonization of the fetus is still a popular debate due to conflicting study results. Currently, researchers are evaluating methods to manipulate the reproductive bacterial communities, such as diet changes and utilizing probiotics, to improve reproductive outcomes. The following review discusses the current understanding of the reproductive tract microbiome, how it differs between humans and cattle, and its relationship with the uterine environment.

Livestock form a major means of livelihood in Burkina Faso where almost 80% of the rural population keep sheep and goats. However, the major constraint to livestock productivity is seasonal feed scarcity. To bridge the increasing feed gap, particularly in the dry season, livestock keepers are increasingly turning to purchase of feeds from markets, which has led to emergence of feed markets in peri-urban towns and cities in the Sahel. To characterize the dynamics of these livestock feed markets, to inform and guide the development of efficient feeding systems in peri-urban livestock production, we conducted surveys in feed markets in four major towns and cities of Burkina Faso across all the agro-ecological zones. Results from this study showed that the feed types on sale included browse, bush hay, bran of maize, millet, sorghum, rice and wheat, legume residues, cereal straw and agro-industrial by-products such as cottonseed cake and concentrate feed for ruminants. The average number of feeds sold per vendor ranged from 1.5 ± 0.1 in early dry season to 3.5 ± 0.4 in late dry season. More than 80% of the feed sellers in each location reported that generation of additional income for the household was the principal reason for feed sale. The price of livestock feeds sold at different locations in Burkina Faso varied significantly with season, market location and feed type. Cottonseed cake had the highest crude protein content in all locations and across seasons ranging from an average of 16.3 to 31.9% while cereal straw (millet, maize and sorghum straw) had the lowest crude protein content of 3.5%. The results also showed a lack of a clear trend in terms of relationship between price and nutritional quality which confirms the absence of quality standardization for feeds on sale in our study sites. In developing feed industry in the region, the issue of quality standardization needs to be addressed to facilitate establishment of nutritive value-based pricing and to ensure that consumers pay a premium for quality products.