Beef cattle behavior in integrated crop-livestock systems

ABSTRACT: Temperament often depends on the animals’ reaction to people, social and environmental conditions. However, little is known about the influence of changes in the pasture environment on cattle temperament. Thus, this study was designed to evaluate if an animals’ temperament changes in response to being kept in a silvopastoral system. This study evaluated the effect of the tree components in a pasture environment on the temperament of any grazing cattle in integrated crop-livestock systems. A total of thirty-two Angus steers were allocated to either a livestock (L) or livestock-forest (LF) system and observed from December 2019 to February 2020. Each animal was evaluated for their reactivity score, flight speed, and number of vocalizations. The statistical model established that the animals were random effects and that the treatments and periods were fixed effects using the MIXED procedure, and the means were compared using LSMeans. The flight speed and number of vocalizations were similar in both production systems, while the reactivity score was lower for animals kept in the LF system when compared to those in the L system. This suggested that the LF system interferes positively with the animal’s temperament in relation to the L production system. However, additional research is needed to understand the influence of the production system on animal temperament.

Cuajilote (Parmentiera aculeata (Kunth) Seem.): A Potential Fruit for Ruminant Feed

Objective: to review previous researches about the use of the fruits of the cuajilote tree (Parmentiera aculeata) as ovine feed. Design/Methodology/Approach: this research was conducted, using all the available sources: science articles, conference reports, and books. Results: P. aculeata (cuajilote) is generally used to provide shade, and as live fence, wood or firewood. However, it can also be used as forage. Both the foliage and the fruit have excellent nutritional qualities; additionally, the fruits are available during the dry season and free grazing cattle avidly eat them. Nevertheless, the nutritional value and the ruminal availability of this fruit’s dry matter—during various ripeness stages— are unknown; it is also said to have medicinal properties. Study Limitations and Implications: the cuajilote fruit was used in in vitro tests to remove protozoa from the ruminal fluid of bovines (defanuation); therefore, there are few in vitro researches about the use of cuajilote in a wholemeal diet as animal feed and about its maximum inclusion tolerance in ruminants. Findings/Conclusions: as a result of its nutritional and medicinal benefits, the cuajilote fruit shows great potential as livestock feed. Additionally, it is available all year round, particularly during the dry season, when production expenses increase as a result of the lack of other food sources.

PSII-12 Identifying behaviors and the ‘normal’ daily ethogram using accelerometers on grazing animals

Animal behavior plays a crucial role as an indicator of animal health and nutritional status and serves as an indicator of animal growth. The objective of this study was to build an ethogram describing behavior in grazing cattle. We collected video and accelerometer data from crossbred steers (n = 10) used as part of a larger grazing study on the HH Leveck Animal Research Center, Mississippi State, MS. Daily Diary accelerometers (Wildbyte® technologies, Swansea) were programmed to collect magnetometer and accelerometer data at 40 Hz and attached to the GPS collars fitted on the animals prior to their release into a 10-hectare pasture of Tall Fescue and Bermudagrass, overseeded with Annual Ryegrass. Automated camera traps (Bushnell Essential®) were synced with UTC time and programmed to record 30-second video clips when triggered. Approximately 387,000 accelerometer signals representing 161 minutes of behavior from 10 animals were recorded, and behavior classified according to 1 of 5 categories: traveling, foraging, resting, ruminating, and grooming (Kilgour et al., 2012). Categorized accelerometer data was used to train a random forest model (Liaw and Weiner, 2002) in Program R (R Core Team, 2020), which resulted in a model sensitivity of 0.97, 0.93, 0.90, 0.87, and 0.80 for Traveling, Foraging, Resting, Ruminating, and Grooming, respectively, and an overall model accuracy of 0.95. Behaviors were aggregated into behavior bouts, and a daily ethogram was calculated for March 2019. This revealed that the steers spent the most amount of time traveling, an average of 1,026 minutes per day. This behavior was followed, in the average length of time, by foraging and resting for 205 ± 52.8 minutes and 31.8 ± 28.2 minutes per day, respectively. These results indicate the ability to accurately build a behavioral ethogram for grazing cattle and warrant further study in future research and livestock management.

175 GPS Tracking Collars and Accelerometers Provide Detailed Tracking of Foraging Behavior and Space Use in Grazing Steers in Bermudagrass and Tall Fescue Pasture

Previous research in feedlot studies has demonstrated that cattle feeding behavior is driven by internal metabolic processes and external environmental stimuli and serves as an indicator of animal health, nutritional status, and growth and feed quality and availability. However, technology has only recently allowed measurement of foraging behavior in grazing cattle. Objectives of this study were to measure frequency and duration of foraging bouts, meals, and total distance traveled during meals in grazing steers. The study was conducted as part of a larger grazing study on a 10-hectare Bermudagrass and Tall Fescue pasture, overseeded with Annual Ryegrass, located at the HH Leveck Animal Research Center, Mississippi State, MS. Using tri-axial accelerometers and GPS information from 10 crossbred steers, we examined foraging and meal bout frequency and duration and distance and speed traveled per meal for the period of March 2019. Observed animal behavior was used to train a randomforest model to predict foraging behavior, with model accuracy and sensitivity of 0.95 and 0.93, respectively. We found individual foraging bouts occurred on average 2,849 bouts per day and took on average 5.0 ± 1.8 min (range: 3–9 min), and that steers fed on average 205 ± 52.8 min/day (range: 120–270 min/day). Steers had an average of 9.5 ± 2.9 meals/day, that took on average, 89.3 ± 93.9 min/meal (range: 0.5–938.5 min/meal). Steers traveled an average of 412.4 ± 93.9 meters per meal, with an average foraging speed between 0 and 0.63 m/s. Traveling distance while foraging was positively correlated with meal length (0.83, P < 0.01) and foraging speed (0.70, P < 0.01). These results show that cattle grazing behavior can be accurately quantified in grazing cattle and warrants further research to examine associations between animal efficiency and performance, forage quality, and pasture management.

PSX-B-9 Effect of trace mineral sources in the supplement for grazing cattle on ruminal bacteria diversity

The rumen soluble Cu and Zn can affect the rumen microbial populations. This study aimed to evaluate the effect of trace mineral sources (Cu and Zn) in the supplement of grazing steers on ruminal bacteria diversity. Eight rumen cannulated Nellore steers (541 kg ± 18 kg BW) were distributed in a randomized block design in individual paddocks of Urochloa brizantha cv. Marandu. Steers were supplemented during 101 days between dry to rainy season at 5 g/kg BW with commercial supplement (25% CP) containing Cu (40 mg/ kg) and Zn (148 mg/kg) in the inorganic (Control) or hydroxy (HDX; Micronutrients Inc., IN) source. Samples of ruminal content were collected before supplementation at day 97 of experimental period and the total DNA extracted by commercial kit (Quick-DNA Fecal/Soil Microbe Miniprep). The V3/V4 regions of 16SrRNA gene was sequencing using the Illumina MiSeq, using the Quantitative Insights into Microbial Ecology (QIIME v.1.9.1) to filter reads and determine Operational Taxonomic Units (OTUs). Data were compared using an unpaired Wilcoxon test in R. A total of 293 OTUs were identified at genus level. The HDX resulted in a higher ruminal abundance of Corynebacterium 1 (P = 0.01), Prevotella 1 (P = 0.01), Lachnoclostridium 10 (P = 0.02), Lachnospiraceae AC2044 group (P = 0.03), Lachnospiraceae UCG-008 (P = 0.03), Streptococcus (P = 0.02), Ruminococcaceae UCG-010 (P = 0.01), Ruminococcaceae UCG-014 (P = 0.01), Ruminococcus 1 (P = 0.04), Coprococcus 1 (P = 0.04), Mogibacterium (P = 0.02), Selenomonas 1 (P = 0.02), Anaerovibrio (P = 0.03), Methylobacterium (P = 0.02), Treponema 2 (P = 0.02), Rikenellaceae RC9 gut group (P = 0.03), Ruminococcaceae; uncultured rumen bacterium (P = 0.02) and Eubacterium hallii group (P = 0.05), and lower abundance of Fibrobacter (P = 0.04), Butyrivibrio 2 (P = 0.05), Anaerotruncus (P = 0.03), Ruminiclostridium 5 (P = 0.03), Anaerorhabdus furcosa group (P = 0.02) and Erysipelotrichaceae UCG-004 (P = 0.01). The use of HDX in the supplement for grazing cattle between dry to rainy season increase the ruminal abundance of bacteria, mainly into Firmicutes phylum with important structural and non-structural carbohydrates degradation functions.

Trace Mineral Nutrition of Grazing Beef Cattle

The trace mineral requirements of grazing beef cattle are often complicated by different environmental factors, such as the lack of specific trace minerals or the presence of trace mineral antagonists in forage. Nearly every region of the world has specific implications related to trace mineral nutrition of grazing cattle. Since forage is the most significant contributor to trace mineral nutrition, it is important to consider the concentrations of trace minerals and antagonists and how they may impact the performance of cattle consuming them. This review attempts to provide an update on the trace minerals commonly found to be inadequate in forage, supplementation strategies to address deficiency including a discussion on supplemental trace mineral source, and the complications presented by mineral antagonists. Although the review focuses on beef cattle grazing systems of the United States, the information herein is derived from both extensive native range and intensive planted pasture.

Prevalence of Shiga toxin-producing Escherichia coli and Salmonella in native pecan orchards as influenced by waiting periods between grazing and harvest

Animals (grazing, working, or intrusion) in produce production areas may present a potential contamination source of foodborne pathogens on produce. Cattle grazing on native pecan production orchards, a common practice in the Southern United States, provides a great opportunity to study the impact of grazing practice and waiting periods on contamination rates of foodborne pathogens of tree nuts. Therefore, the objective of this study was to determine the prevalence of Salmonella spp. and Shiga toxin-producing Escherichia coli (STEC), in native pecan production orchards as influenced by waiting periods between grazing cattle and pecan harvest. Soil (10 g), cattle feces (10 g), and in-shell pecans (25 g) were sampled from five cattle-grazed orchards in areas with cattle removed two or four months prior to harvest and not removed. Five non-grazing orchards were sampled at harvest for comparison. Detection and isolation of the pathogens were performed by enrichment, selective isolation, and multiplex PCR. Statistical analyses were performed using contingency tables with Pearson’s chi-squared test. The prevalence of STEC (36%) and Salmonella (29%) in cattle-grazed orchards was significantly higher compared to non-grazed orchards (13%; 7%). STEC prevalence in cattle-grazed orchards was higher (38%) in areas with cattle at harvest than in fenced areas where cattle were removed two (29%) and four (27%) months prior to harvest. Salmonella prevalence was similar in areas without fencing (31%), and areas with cattle removed at two (22%) and four months prior to harvest (30%). However, there were not significant differences ( P ≤ 0.05) in contamination rates between waiting periods for either pathogen, suggesting a limited impact of waiting periods on reducing the risk of contamination.