Meal Criteria Research Articles

Genetic Perspectives on Feed Event, Meal and Feed Efficiency Traits in Bos taurus indicus Beef Cattle.

Electronic feeders record feeding behaviour as feed events by tracking the animal's in-out visits to the feeder. Another way to measure feeding behaviour is based on meals. However, the two approaches provide different outcomes. The objectives of this study were to estimate genetic parameters (heritabilities and genetic and phenotypic correlations) for feed event and meal traits, and their genetic and phenotypic correlations with feed efficiency traits in Nellore cattle. The present study analysed six feed event traits (DMIFE: dry matter intake per feed event, FED: feed event duration, TBFE: time between feed events, FTd: feeding time per day, FEd: feed events per day, and FR: feeding rate), six meal traits (DMIME: DMI per meal, MED: meal duration, TBME: time between meals, MC: meal criterion, MTd: meal time per day, and MEd: meals per day), and three feed efficiency traits (ADG: average daily gain, DMI, and RFI: residual feed intake). The traits were measured in feed efficiency tests of Nellore cattle (age = 280 ± 41 days and body weight = 258 ± 47 kg at enrolment). The MC was calculated for each animal and ranged from 1.70 to 64.0 min, i.e., any pair of feed events separated by less than the MC value was considered part of the same meal. The heritabilities and correlations were estimated by fitting univariate and bivariate animal models, respectively, using single-step genomic BLUP. The highest heritabilities for feed event traits were 0.35 ± 0.06 (FED), 0.39 ± 0.06 (FTd), and 0.50 ± 0.05 (FTd), and for meal traits were 0.31 ± 0.06 (MED) and 0.45 ± 0.06 (MTd). The genetic correlation between feed event traits and meal traits were weak. FR, FED, and FTd had moderate genetic correlations with RFI (-0.56 ± 0.11, 0.44 ± 0.11, 0.60 ± 0.08, respectively). These results indicate that more efficient animals spent less time at the feeder per feed event and per day, and eat faster compared to less efficient animals. In conclusion, feed event and meal traits must be treated as distinct groups of traits since the genetic and phenotypic correlations were, in general, weak to moderate. Among feed event versus meal traits, feed event traits are more favourable to explain the genetic relationships of feeding behaviour with feed efficiency-related traits.

A critical note on meal criteria in pigs: Which behaviours do they perform during feeder visit intervals?

The feeding behaviour of pigs can be continuously recorded using sensors, providing promising avenues for automatic monitoring of pig performance and welfare. To utilise this potential, however, the data must be cleaned and aggregated meaningfully. A common aggregation is from visits into meals, in which visits separated by intervals shorter than a meal criterion (s or min) are merged. Methods to determine the criterion and the criteria themselves vary widely between studies, and have been applied indiscriminately or only when no pen mates visited the feeder during the interval. Aggregation choices should be biologically relevant, but there is no empirical knowledge on how pigs behave during these intervals or how the intervals are influenced by feeder competition. This study had three aims: 1) test the method that classifies intervals using a three-part probability density function (short, intermediate and long intervals); 2) determine whether feeder competition differed between interval types and application methods; and 3) describe and compare the behaviours of pigs between intervals. Visit intervals were obtained from 110 barrows in ten pens with one IVOGⓇ electronic feeding station each. A three-part probability density function was fitted to the log-transformed intervals, and its fit was assessed visually. For each pig, a short and an intermediate interval were selected for behavioural observations from camera. We found that pigs had relatively more intermediate intervals (1–28 min) than cows and that the fit of the three-part function was suboptimal. Nevertheless, identified meal criteria were in similar ranges as for other species. Intermediate intervals were more often initiated by displacements than short intervals (≤1 min), and there was more aggression and less pen exploration if pen mates visited the feeder during these intervals. Short intervals reflected interruptions in feeding behaviour, shown by standing (e.g. vigilance/chewing outside the feeder) and pen exploration (e.g. rooting, searching for pellets), while intermediate intervals contained non-feeding behaviours, such as social nosing, drinking and, predominantly, lying inactive. We conclude that intermediate intervals indicated completed feeding bouts, while short intervals reflected continued feeding-focused behaviours. Therefore, only visits separated by short intervals should be merged into meals. The exact criterion depends on the dataset but may, considering the suboptimal fit of the function, be more precisely determined using other methods. Whether visits should be merged indiscriminately or only when no pen mates entered the EFS during the interval depends on whether competition effects are of interest in the study.

Meta-analysis of the effect of feeding live yeast (<em>Saccharomyces cerevisiae</em>) on feeding behaviour and lactation performance, rumen fermentation, and rumen microbiota in dairy cattle

Meta-analysis of the effect of feeding live yeast (<em>Saccharomyces cerevisiae</em>) on feeding behaviour and lactation performance, rumen fermentation, and rumen microbiota in dairy cattle

133 Feeding Behavior of High-Risk Steers Newly Received for Backgrounding

Abstract There is a need to understand the feeding behavior ontogeny of newly received high-risk steers. Understanding how calves learn to eat out of a bunk will facilitate the implementation of management practices that expedite this process and allow animal managers to exploit this information to monitor individual animal health. To address this knowledge gap, the feeding behavior of high-risk steers that were received for backgrounding was quantified and characterized using electronic feedbunks in this context. To create this paradigm, crossbred steers (n = 20) were purchased in two groups (Group: n = 64 steers; Group 2: n = 56 steers) from a local auction market, transported 800 km to the Prairie Research Unit in Prairie, MS, and immediately weighed (shrunk body weight, BW). Steers were purchased according to research unit space availability. Therefore, purchases occurred 133 days apart. The subsequent day, steers were ranked by shrunk BW (227 ±.3 kg) and allocated to 1 of 8 drylot pens (n = 8 steers/pen) with two GrowSafe automated feeding systems per pen. Steers were fed a total mixed ration ad libitum for a 28-day period and steer BW was recorded on d 0, 2, 6, 10, 13, 21 and 28. Daily feeding behavior [e.g., meal duration (sec), intake (g/d), meal frequency (count/d), bunk visit frequency (count/d), head down duration (sec), maximum non-feeding interval (NFI,s), ratio of head down duration to bunk visit duration)] were calculated using Meal Criterion Calculation Software. The impact of time on feeding behavior and performance was analyzed using a mixed linear model (PROC MIXED). To determine when steers had established consistent dry matter intake (DMI), consistency was defined as when the DMI of a steer remained within one standard deviation of the 7-day average DMI of the steer. Latency to first bunk attendance (d), first feed consumption, attainment of NEm requirement, and latency (d) to establish consistent feed intake levels were analyzed using a generalized linear mixed model (PROC GLIMMIX) for binomial data. Steer BW increased across days (P < 0.01), whereas average daily gain was.48 ± 0.4 kg/d. All feeding behaviors changed across days (P < 0.01). Meal and bunk visit (duration and frequency), meal intake (mean and sum), head down duration, and maximum NFI increased over time. All steers visited the bunk and consumed their first meal by day 4 (P < 0.01). All steers achieved NEm requirements by day11 (P < 0.01). These results quantify the acclimation period of steers to a new environment and characterizes the learning and development of novel modes of eating. These results inform the development of behavioral expectations for newly received high-risk calves that can be used to monitor cattle health, understand cattle perception, and promote cattle welfare.

Feeding Behavior of Finishing Pigs under Diurnal Cyclic Heat Stress

The impact of cyclic heat stress (CHS) and turning the lights on and off on pig feeding behavior (FB) was investigated. The FB of 90 gilts was recorded in real-time under two ambient temperatures (AT): thermoneutrality (TN, 22 °C) or CHS (22/35 °C). The day was divided into four periods: PI (06-08 h); PII (08-18 h); PIII (18-20 h); and PIV (20-06 h). Automatic and Intelligent Precision Feeders recorded each feed event for each pig. An estimated meal criterion (49 min) was used to calculate the FB variables. Feed behavior in both ATs followed a circadian pattern. The CHS reduced the feed intake by 6.9%. The pigs prioritized feed intake during the coolest hours of the day; however, nocturnal cooling did not allow the pigs to compensate for the reduced meal size due to CHS. The highest meal size and most of the meals were observed during the lighting-on period. The pigs reduced their interval between meals during PII and PIII. The lighting program increased the meal size when the lights were switched on and reduced the meal size when the lights were switched off. Thus, the dynamics of the FB were largely influenced by AT, whereas the meal size was affected by the lighting program.

Estimates of genetic and phenotypic parameters for feeding behaviour and feed efficiency-related traits in Nelore cattle.

The objective of this study was to obtain (co)variance components, heritability, and genetic and phenotypic correlation estimates for feed efficiency and feed behaviour-related indicator traits. Further, it aimed to predict the direct and correlated responses for feed efficiency traits when selection was applied for feeding behaviour-related traits in Nelore cattle. Phenotypic records (n=4840) from 125 feed efficiency tests (RFI: Residual feed intake and DMI: Dry matter intake) carried out between 2011 and 2018 were considered in this study. Animals belonged to five farms located in two Brazilian geographical regions (Midwest and Southeast). Animals under similar management and environmental conditions in the feedlot were evaluated when they attained an average of 13.5± 4.15 months of age. Feed behaviour-related traits were also obtained, including meal criteria (MC), meal frequency (MF), average meal duration (AMD), meal duration (MD), average consumption per meal (ACM), and consumption rate (CR) through the GrowSafe System® electronic bunk system. The contemporary groups for all traits were composed of farm, management group, feed efficiency test, sex, and birth year. The (co)variance components were estimated using the restricted maximum likelihood method considering a multi-trait (n=8) animal model. The heritability estimates for RFI (0.23± 0.02), DMI (0.31± 0.02), MF (0.65± 0.02), AMD (0.29± 0.02), ACM (0.24± 0.02), MD (0.41± 0.02), MC (0.48± 0.02), and CR (0.42± 0.02) were moderate to high. The highest genetic correlation was obtained between CR and MD (-0.91 ± 0.04), MD and AMD (0.73± 0.03), CR and AMD (-0.68± 0.04), and RFI and DMI (0.81± 0.02). The highest phenotypic correlation was between ACM and AMD (0.76 ± 0.02), DMI and MD (0.77± 0.02), and DMI and RFI (0.77± 0.02). Genetic improvement for feed efficiency and feeding behaviour-related traits is feasible and the results obtained herein provided valuable information regarding the genetic background of Nelore feeding behaviour-related traits. The genetic association between feeding behaviour and feed efficiency-related traits suggested that animals spending less time feeding at a low feeding rate also had lower DMI and higher feed efficiency (RFI), and likely had lower energy maintenance requirements. The relative efficiency of selection showed that feeding behaviour-related traits were not adequate indicator traits to improve RFI and DMI. The DMI might be an effective selection criterion to improve RFI and reduce the herd's maintenance requirements.

PSVII-19 Feeding Behavior of Feedlot Beef Steers Consuming Finishing Diets with an Added Nutritional Packet

Abstract The effects of a nutritional packet offered to beef yearling-steers during the feedlot-finishing phase on feeding behavior were evaluated. Crossbred-Angus steers (n = 30; initial BW = 542 ± 8 kg) were assigned to pens (15 steers/pen; animal = experimental unit) in a randomized complete block design. Steers were offered a steam-flaked corn-based finishing diet ad libitum, and treatments as follows: 1) control and 2) 30 g/steer-daily (DM-basis) of a nutritional packet (live yeast [Saccharomyces cerevisiae; 8.7 Log CFU/g], vitamin C [5.4 g/kg], vitamin B1 [13.33 g/kg], NaCl [80 g/kg], and KCl [80 g/kg]). Ground corn was used as a carrier and included at 1% of diet DM. Orts were subtracted from the dietary DM offered to calculate DM intake. Feeding behavior (meal frequency, meal size, bunk visit duration, and meal criterion) were continuously recorded using the Smartfeed system (individual animals). Three periods during the last 60 days before cattle harvest were assessed: 1) d7-11; 2) d28 -32; and 3) d49-53. Periods were used to compute meal criteria for each animal using the Meal Criterion Calculation (v. 1.9) software. Data were analyzed using the GLIMMIX procedure of SAS. No treatment × period interactions were observed (P ≥ 0.32) for meal frequency, duration (min/meal), and intake (kg/meal). Steers offered the nutritional packet had greater overall meal duration during periods 1 and 3 (75 and 77 min/d; P < 0.01), but did not differ (68 min/d; P = 0.09) for period 2 (Control AVR = 55 min/d). Steers offered the nutritional packet had greater (P ≤ 0.01) meal frequency (20 vs. 16 meals/d), while individual meal duration (3.85 min/meal) and meal intake (0.46 kg/meal) were not affected by treatments (P > 0.86). Improved meal frequency and overall time spent eating, without affecting intake, may induce a more desirable daily distribution of nutrients.

Estimates of genetic parameters for feeding behavior traits and their associations with feed efficiency in Holstein cows.

Residual feed intake (RFI) is commonly used to measure feed efficiency but individual intake recording systems are needed. Feeding behavior may be used as an indicator trait for feed efficiency using less expensive precision livestock farming technologies. Our goal was to estimate genetic parameters for feeding behavior and the genetic correlations with feed efficiency in Holstein cows. Data consisted of 75,877 daily feeding behavior records of 1,328 mid-lactation Holstein cows in 31 experiments conducted from 2009 to 2020 with an automated intake recording system. Feeding behavior traits included number of feeder visits per day, number of meals per day, duration of each feeder visit, duration of each meal, total duration of feeder visits, intake per visit, intake per meal [kg of dry matter (DM)], feeding rate per visit, and feeding rate per meal (kg of DM per min). The meal criterion was estimated as 26.4 min, which means that any pair of feeder visits separated by less than 26.4 min were considered part of the same meal. The statistical model included lactation and days in milk as fixed effects, and experiment-treatment, animal, and permanent environment as random effects. Genetic parameters for feeding behavior traits were estimated using daily records and weekly averages. Estimates of heritability for daily feeding behavior traits ranged from 0.09 ± 0.02 (number of meals; mean ± standard error) to 0.23 ± 0.03 (feeding rate per meal), with repeatability estimates ranging from 0.23 ± 0.01 (number of meals) to 0.52 ± 0.02 (number of feeder visits). Estimates of heritability for weekly averages of feeding behavior traits ranged from 0.19 ± 0.04 (number of meals) to 0.32 ± 0.04 (feeding rate per visit), with repeatability estimates ranging from 0.46 ± 0.02 (duration of each meal) to 0.62 ± 0.02 (feeding rate per visit and per meal). Most of the feeding behavior measures were strongly genetically correlated, showing that with more visits or meals per day, cows spend less time in each feeder visit or meal with lower intake per visit or meal. Weekly averages for feeding behavior traits were analyzed jointly with RFI and its components. Number of meals was genetically correlated with milk energy (0.48), metabolic body weight (-0.27), and RFI (0.19). Duration of each feeder visit and meal were genetically correlated with milk energy (0.43 and 0.44, respectively). Total duration of feeder visits per day was genetically correlated with DM intake (0.29), milk energy (0.62), metabolic body weight (-0.37), and RFI (0.20). Intake per visit and meal were genetically correlated with DM intake (0.63 and 0.87), milk energy (0.47 and 0.69), metabolic body weight (0.47 and 0.68), and RFI (0.31 and 0.65). Feeding rate was genetically correlated with DM intake (0.69), metabolic body weight (0.67), RFI (0.47), and milk energy (0.21). We conclude that measures of feeding behavior could be useful indicators of dairy cow feed efficiency, and individual cows that eat at a slower rate may be more feed efficient.

Genetic selection modulates feeding behavior of group-housed pigs exposed to daily cyclic high ambient temperatures.

This study was conducted to evaluate the effect of genetic selection (Lines A and B; Line A pigs have a greater proportion of Pietrain genes than those from Line B and therefore, selected for improved lean tissue accretion) on the feeding behavior of group-housed pigs exposed to daily cyclic high ambient temperatures. Feeding behavior of 78 barrows housed together in a single room was recorded in real time by five automatic feeders. The feeders registered each visit of each pig (day, hour, min, and second) and the amount of feed requested. Daily cyclic high ambient temperature was induced exposing pigs at 22°C from 18.00 to 10.00 h and 30°C from 10.01 to 17.59 h. From this temperature variation, day-period was divided into: 22°C(06-10h), from 6.00 to 10.00 h; 30°C(10-18h), from 10.01 to 17.59 h; and 22°C(18-06h), from 18.00 to 5.59 h. Meal criteria was estimated based on the probability of animals starting a new feeding event within the next minute since the last visit (Pstart). After defining the meal criteria, the number of meals (n), feed intake rate (g/min), feed intake (g/meal), feeder occupancy (min/meal), and interval between meals (min) of each animal were calculated. Greatest probability of starting to feed was observed at 22°C(06-10h), followed by 30°C(10-18h) and then 22°C(18-06h). Regardless of time period, pigs from line A had greater feed intake rate and lower feed intake, feed occupancy per meal and probability of starting a meal when compared with line B pigs. Only line A pigs had greater feed intake and feeder occupancy per meal at 22°C(18-06h) than remainder of the day. This indicates that pig feeding pattern is strongly related to the circadian rhythm. However, the genetic selection for improved lean tissue accretion may modulate pigs feeding behavior under daily cyclic high ambient temperatures.

Dairy goats adjust their meal patterns to the fibre content of the diet

Few studies have investigated how meal patterns of ruminants are affected by diet fibre content. Dairy goats (N = 32) in late lactation and early gestation were housed in eight groups of four goats, with all combinations of breed (Alpine and Saanen) and lactation number (1 and 2) represented in each group. Each goat had access to its own individual feed trough placed on a weigh scale with data logged automatically. All goats were fed the same total mixed ration (TMR; 30% concentrate and 44.6% NDF in DM) ad libitum for a control period of 22 days. Using the same feed ingredients, half of the groups were then offered a High fibre diet (20% concentrate; 47.3% NDF), and the other half a Low fibre diet (40% concentrate; 41.5% NDF) for a treatment period of 16 days. Daily meal patterns (meal frequency, duration and size, feeding rate, daily feed intake and daily feeding time) were computed for each animal using a meal criterion of 8 min. The last 10 days for each period (control and treatment) were used to calculate individual period means and individual differences between the two periods. During the control period, the goats ate on average 12.1 ± 0.49 meals/day, consuming 4.2 ± 0.10 kg fresh TMR daily. When the ration changed, all measures of feeding behaviour except meal size changed asymmetrically for the goats on the two diets. Goats fed the High fibre diet reduced their meal frequency by 10%, and the first meal after feed distribution lasted 11% longer, leading to a 9% reduction in feeding rate and no significant changes in daily feed intake and daily feeding time. Goats on the Low fibre diet did not significantly change their meal frequency or meal size, but the combined changes nevertheless led to a 9% increase in daily feed intake. On the Low fibre diet, goats were able to increase their feeding rate by a third, leading to a reduction in meal durations, thus reducing daily feeding time by 13%. Goats adapt their feeding behaviour to the fibre proportion of the offered diet, with more changes when fibre content is lowered, which needs to be taken into account when comparing phenotypes and adaptability of small ruminants to different diets.

Effects of an artificial hay aroma and compound feed formulation on feed intake pattern, rumen function and milk production in lactating dairy cows

The Kempen system is a dairy feeding system in which diet is provided in the form of a compound feed (CF) and hay offered ad libitum. Ad libitum access to CF and hay allows cows in this system to achieve a high DM intake (DMI). Out of physiological concerns, the voluntary hay intake could be increased and the consumption pattern of CF could be manipulated to maintain proper rumen functioning and health. This study investigated the effects of an artificial hay aroma and CF formulation on feed intake pattern, rumen function and milk production in mid- to late-lactating dairy cows. Twenty Holstein–Friesian cows were assigned to four treatments in a 4 × 4 Latin square design. Diet consisted of CF and grass hay (GH), fed separately, and both offered ad libitum, although CF supply was restricted in maximum meal size and speed of supply by an electronic system. Treatments were the combination of two CF formulations – high in starch (CHS) and fibre (CHF); and two GH – untreated (UGH) and the same hay treated with an artificial aroma (TGH). Meal criteria were determined using three-population Gaussian–Gaussian–Weibull density functions. No GH × CF interaction effects on feed intake pattern characteristics were found. Total DMI and CF intake, but not GH intake, were greater (P < 0.01) in TGH treatment, and feed intake was not affected by type of CF. Total visits to feeders per day, visits to the GH feeder, visits to the CF feeder and CF eating time (all P < 0.01) were significantly greater in cows fed with TGH. Meal frequency, meal size and meal duration were unaffected by treatments. Cows fed CHF had a greater milk fat (P = 0.02), milk urea content (P < 0.01) and a greater milk fat yield (P < 0.01). Cows fed TGH had a greater milk lactose content and lactose yield (P < 0.05), and milk urea content (P < 0.01). Cows fed TGH had smaller molar proportions of acetic acid and greater molar proportions of propionic acid compared with UGH. In conclusion, treatment of GH with an artificial aroma increased CF intake and total DMI, but did not affect hay intake. Additionally, GH treatment increased the frequency of visits to both feeders, and affected rumen volatile fatty acid profile. Type of CF did not affect meal patterns, ruminal pH, nor fermentation profiles.

PSXIV-20 Effects of Saccharomyces cerevisiae CNCM I-1077 on growth efficiency, feeding behavior, physiology, and carcass quality of yearling steers fed a high-grain diet

Abstract The objective of this study was to evaluate the effects of Levucell SC (LY; Saccharomyces cerevisiae CNCM I-1077) supplementation on performance, feed efficiency, ruminal temperature, feeding behavior, and carcass quality traits in yearling steers. Forty-eight crossbred steers were randomly allocated into two treatments: (1) Control and (2) LY with two pen replicates per treatment (12 steers per pen). Steers were housed in pens equipped with GrowSafe and fitted with reticulo-rumen boluses. All steers were maintained on their respective dietary treatments until harvest to assess carcass traits. There were no differences amongst treatments in DMI, ADG, morbidity or mortality rates, ruminal temperature or F:G. Live-yeast supplemented steers had 17% greater (P = 0.05) backfat thickness than control steers, which resulted in a 13% increase in yield grade, with no differences in all other carcass traits. Live-yeast steers exhibited different feeding behavior patterns than control steers, such that LY steers approached the bunk 25 minutes earlier (P = 0.01) than control steers, had 22% greater (P &amp;lt; 0.05) bunk visit (BV) duration, 41% increased (P &amp;lt; 0.05) head down duration, 18% slower (P &amp;lt; 0.05) BV eating rates, and a tendency for 9% lower BV frequency. Meal criterion was 47% longer (P = 0.01) for LY steers resulting in a reduction (P = 0.07) in meal frequency. Additionally, LY steers consumed 27% longer meals (P &amp;lt; 0.05) that tended to be larger in size (P = 0.09). Although DMI was not different throughout the trial, LY displayed 10% decreased (P &amp;lt; 0.05) meal-eating rates due to longer meal lengths. Overall, LY steers approached the feed bunk sooner following feed delivery, ate fewer, but larger meals at a slower rate, and spent more time eating compared to control steers. Live-yeast supplementation clearly altered feeding behavior patterns, suggesting more favorable fermentation and the capability to mitigate metabolic stress in steers fed high-grain diets by altering meal patterns.

Short communication: Short-term changes in stocking density did not alter meal characteristics of lactating Holstein dairy cattle

The study objectives were to determine the effect of short-term increases in stocking density and milking on meal duration, meal frequency, and time between meals and to determine the bioequivalence of different meal criterions in a competitive environment. Forty-eight Holstein dairy cows were allotted to 1 of 4 groups (n=12 per group). Stocking density treatments of 100 (one cow per freestall and headlock), 113, 131, and 142% were assigned to groups using a 4×4 Latin square with treatments imposed for 14-d periods. On d 11 of each period, feeding time was recorded for 24h using 10-min scan samples from direct observation. Meals were defined as repeated observations of eating with a maximum of 20, 30, or 40min of not eating between observations constituting the same meal. A new meal was established when a cow was observed feeding and then not feeding for greater than 2 (20min), 3 (30min), or 4 (40min) observations. To evaluate diurnal effects, the 24-h period of data was divided into 8-h intervals (based on milking time); morning (0400–1200h), afternoon (1200–2000h), and night (2000–0400h). Feed delivery occurred daily at 0430h, with feed pushed up throughout the day. A mixed linear model was used to determine the effect of stocking density and time of day on meals per day, meals per hour, meal duration, time between meals, and meal duration 2h before and after milking. Regardless of stocking density, meal duration, meal frequency, meals per hour, and time between meals did not differ. Regardless of stocking density, mean meal duration was longer during the morning and afternoon compared with night. Meal duration was also greater after milking compared with before milking, regardless of stocking density. These results suggest meal length decreased throughout the day, relative to feed delivery, with periodic increases in length due to return from milking. Meals per hour, meal duration before and after milking, and meal frequency established bioequivalence for the 20-, 30-, and 40-min meal criteria. Bioequivalence was not met for meal duration when the meal criterion was increased from 20 to 40min. Short-term increases in stocking density of 14-d duration did not affect the feeding pattern of lactating dairy cows, indicating that mid-lactation dairy cows can compensate for reduced feed bunk access during short-term overstocking. When calculating feeding behaviors, including meal frequency and time between meals, using a meal criterion of 20, 30, or 40min resulted in similar outcomes when using 10-min scan samples. Future studies should investigate changes in other behaviors, such as resting, which may be altered to compensate for reduced access to the feed bunk.

The structure of feeding behavior in a phytophagous insect (Hylobius abietis)

AbstractAnalysis of the feeding behavior of animals using such a high temporal resolution that meals can be defined may improve our understanding of the mechanisms regulating feeding. Meals can be distinguished in an ethologically meaningful manner by using the ‘meal criterion’, the shortest non‐feeding interval between feeding bouts recognized as meals. However, such a criterion has only been determined for a few insect species. Applying a recent method developed for assessing meal criteria for vertebrates, we determined the meal criterion for Hylobius abietis (L.) (Coleoptera: Curculionidae) based on data from video recordings of single individuals feeding on seedlings of Norway spruce, Picea abies (L.) Karst. (Pinaceae). The pine weevil is an economically important pest insect, because it feeds on the stem bark of planted conifer seedlings. Weevils had 4–5 meals per day. Each meal lasted about 24 min during which about 13 mm2 of bark per meal were removed. Females had longer total meal durations and longer non‐feeding intervals within meals than males. Girdling seedlings did not affect the weevils' feeding properties. The size of meals was significantly correlated with the duration of non‐feeding intervals before and after them. This study is one of few describing the feeding behavior of an insect at a temporal resolution that allows individual meals to be distinguished. With more meal‐related data from insects available, differences in meal properties may be interpreted based on phylogeny, ecology, and physiology. Our results may also assist in the setup and interpretation of studies of plant‐insect interactions, and facilitate the evaluation and development of methods to protect plants against herbivores.

Competition during the milk-feeding stage influences the development of feeding behavior of pair-housed dairy calves

This study investigated how the feeding behavior of pair-housed calves develops in response to reduced teat and feed place availability. Twenty Holstein bull calves were pair housed and provided with milk replacer (MR) and grain concentrate ad libitum via either (1) 1 teat and feed bucket/pen, such that calves could not feed simultaneously [competitive feeding (CF)] or (2) 2 teats and feed buckets/pen [noncompetitive feeding (NCF)]. The calves were weaned during wk 7 of life by incrementally diluting the MR. Postweaning, all pens were managed identically and offered a complete pelleted diet ad libitum via 2 feed buckets/pen (NCF) in period 1 (wk 8 and 9) and period 3 (wk 12 and 13) and exposed to a competitive challenge with CF in period 2 (wk 10 and 11). Feeding times and competitive interactions were recorded from video for 3 d/wk in wk 2, 4, and 6 and 2 d/wk in wk 8 to 13. Meal criteria were used to calculate daily meal frequency, meal time, and synchronized meal time (the percentage of meal time when calves within the pen were engaged in simultaneous meals). Milk replacer intake was subject to a treatment × week interaction, with calves in CF pens having lower MR intake (wk 2: 8.3 vs. 10.0 L/calf per day for CF vs. NCF), but compensating by increasing intake to a greater extent over time (wk 4–5: 13.3 vs. 11.7 L/d for CF vs. NCF). Corresponding to MR intake, meal frequencies and feeding times evolved differently over this period, increasing in CF pens and decreasing in NCF pens (wk 2: 5.8 vs. 11.1 and wk 4–6: 6.2 vs. 5.1 meals/d for CF vs. NCF). Calves in CF pens also spent less time engaged in synchronized meals (28 vs. 51% of meal time; standard error=7.1) and displaced each other 5 times more frequently during synchronized eating. Postweaning, calves in previously CF pens maintained 5 times greater displacement frequencies and had fewer overlapping meals than calves in previously NCF pens (34.5 vs. 40.7% of meals, respectively). Postweaning, when calves were all fed noncompetitively (2 buckets/pen in periods 1 and 3), calves previously fed CF had greater intakes in period 3 (4.87 vs. 4.44kg/d) and a tendency for greater intake in period 1 (2.80 vs. 2.63kg/d), greater rates of intake in period 3 (87.8 vs. 72.0g/min) and a tendency for greater rates of intake in period 1 (44.3 vs. 38.9g/min), and greater meal frequencies in both periods (11.1 vs. 9.9 meals/d). In the competitive challenge period (1 bucket/pen in period 2), intake, rates of intake, and meal frequencies were subject to treatment × week interactions: calves in NCF pens had lower intake and meal frequencies, but increased meal frequency, intake, and rate of intake over time to a greater extent than calves previously in CF pens. These results indicate that calves are able to adapt to moderate competition by increasing meal frequency and that behavioral responses to competition persist postweaning.

Modification of the feeding behavior of dairy cows through live yeast supplementation

The objective of this study was to determine if the feeding behavior of dairy cows is modified through live yeast supplementation. Twelve lactating Holstein dairy cows (2 primiparous and 10 multiparous) were individually exposed, in a replicated crossover design, to each of 2 treatment diets (over 35-d periods): (1) a control TMR and (2) a control TMR plus 1 × 1010 cfu/head per day of live yeast (Saccharomyces cerevisiae CNCM I-1077; Levucell SC20; Lallemand Animal Nutrition, Montreal, QC, Canada). Milk production, feeding, and rumination behavior were electronically monitored for each animal for the last 7 d of each treatment period. Milk samples were collected for the last 6 d of each period for milk component analysis. Dry matter intake (28.3kg/d), eating time (229.3min/d), and rate (0.14kg of dry matter/min) were similar between treatments. With yeast supplementation, meal criteria (minimum intermeal interval) were shorter (20.0 vs. 25.8min), translating to cows tending to have more meals (9.0 vs. 7.8 meals/d), which tended to be smaller in size (3.4 vs. 3.8kg/meal). Yeast-supplemented cows also tended to ruminate longer (570.3 vs. 544.9min/d). Milk yield (45.8kg/d) and efficiency of production (1.64kg of milk/kg of dry matter intake) were similar between treatments. A tendency for higher milk fat percent (3.71 vs. 3.55%) and yield (1.70 vs. 1.63kg/d) was observed when cows were supplemented with yeast. No differences in milk fatty acid composition were observed, with the exception of a tendency for a greater concentration of 18:2 cis-9,cis-12 fatty acid (2.71 vs. 2.48% of total fatty acids) with yeast supplementation. Yeast-supplemented cows had lower mean ruminal temperature (38.4 vs. 38.5°C) and spent less time with rumen temperature above 39.0°C (353.1 vs. 366.9min/d), potentially indicating improved rumen pH conditions. Overall, the results show that live yeast supplementation tended to improve meal patterns and rumination, rumen temperature, and milk fat production.

Meal pattern analysis for effects of compound feed formulation in mid to late lactating dairy cows fed hay and compound feed both ad libitum

The Kempen System is a dairy feeding system allowing ad libitum access to pelleted compound feed (CF) and hay. This system allows high DM intake (DMI) up to 30 kg DM (80% CF), but small and frequent CF meals are essential to reduce negative ruminal pH fluctuations. Little is known about feed intake patterns of cows on ad libitum and separated access to CF and hay. Meal pattern analysis was performed to evaluate feed intake behaviour of two different isoenergetic and isonitrogenous CF (starch vs fibre), contrasting in neutral detergent fibre, acid detergent fibre and starch content. Twenty primi- and multiparous Holstein-Friesian cows (203 ± 35.4 days in milk) received grass hay ad libitum with one of the two CF also offered ad libitum. Meal criteria, the shortest non-feeding interval between feeding events separating two consecutive meals, were used to cluster feeding events into separate meals. The meal criteria were determined per cow by fitting the log10-transformed feeding intervals to Gaussian–Gaussian probability density functions. The DMI of CF fibre (18.8 ± 0.54 kg) tended to be greater (P = 0.09) than starch (18.1 ± 0.54 kg/day), while that of grass hay (4.8 ± 0.29 kg) was unaffected (P = 0.23). The CF meal size did not differ (P = 0.26) between treatments (starch 2.9 vs fibre 3.0 ± 0.11 kg/meal), but number of meals per day (6.36 ± 0.229, P = 0.87) and meal durations (64 ± 3.5 min, P = 0.87) did not differ between treatments. The differences in CF formulation were insufficient to create detectable differences in feed intake nor intake behaviour patterns.

Technical note: Evaluation of bimodal distribution models to determine meal criterion in heifers fed a high-grain diet

Meals are clusters of feedbunk visit (BV) events that are differentiated from the next meal by a nonfeeding interval that is longer compared with the nonfeeding intervals within a meal. The longest nonfeeding interval considered to be part of a meal is defined as the meal criterion. The objective of this study was to determine which combination of 2 probability density functions [(PDF): Gaussian normal (G), Weibull (W), Log-Normal, Gamma, and Gumbel] used in a bimodal distribution model had the best fit of nonfeeding interval data collected in beef heifers. Feeding behavior traits (572,627 total BV events) were measured in 119 heifers fed a high-grain diet (3.08 Mcal ME/kg DM), using a GrowSafe system for 66 d. The frequency and duration of BV events averaged 75 ± 15 events/d and 73.0 ± 22.3 min/d, respectively. The bimodal PDF combinations were fitted to the log(10)-transformed interval lengths between BV events for each animal, using R mixdist package (2.13). The Akaike Information Criterion (AIC) was used to assess goodness of fit of the 25 bimodal PDF combinations. The PDF model with the least AIC value was selected as the best fit for each individual. A χ(2) analysis of the selected best PDF distribution across individuals revealed that 78.2% of the heifers best fit were G-W or W-W PDF models. The likelihood probability estimates were calculated from the average AIC deviation of each model from the standard G-G model. The G-W likelihood probability estimate was greater (P = 0.001) than the W-W combination (0.997 vs. 0.727). Our analysis indicated the G-W model had a statistically better fit and is most likely the best approach to define meal criterion in beef heifers fed high-grain diets.

A new segmentation–clustering method to analyse feeding behaviour of ruminants from within-day cumulative intake patterns

Studying feeding behaviour of ruminants often implies the definition of eating bouts or the characterisation of meals. However, due to the difficulties encountered to define meal criteria there is a need for other ways of analysing feed intake. The aim of this paper was firstly to develop a new method to analyse feed intake without the need to define meals and secondly to use the obtained characteristics of the kinetic to discriminate between healthy animals and animals suffering from bouts of acidosis. The proposed method is broken down into two steps: a segmentation method is proposed first to detect changes in the slope of the kinetic representing changes in the feeding behaviour. Secondly, all the segments were clustered in eight groups according to the intake rate measured within the segment. This method was applied to the analysis of 15h intake kinetics automatically recorded every 2min in 12 goats in individual crates, during a period of 46days. The present analysis showed that ruminal perturbations (acidosis) could influence the feeding pattern of goats and that it was possible to differentiate animals experiencing or not a bout of acidosis, through their feeding behaviour.

Feeding strategy in group-housed growing pigs of four different breeds

Feeding strategy was studied in 205 growing boars in two blocks of 116 and 89 pigs of four breeds (Large White, Landrace, Duroc and Pietrain) respectively. Pigs were housed in groups of 12–14 individuals, with a single breed in each group. Feeding patterns were recorded with a computerized feed intake recording system. An individual meal criterion was applied to each pig to group visits into meals. Pigs were weighed every 10 days throughout the study to calculate average daily gain. For the four breeds, the number of meals or visits per day was negatively correlated with sizes of meals or visits (−0.88 ≤ r ≤ −0.74) and with duration of meals or visits (−0.86 ≤ r ≤ −0.69); size of meals or visits were positively correlated with duration of meals or visits (0.79 ≤ r ≤ 0.90). Total time feeding per day was negatively correlated with rate of feed intake (−0.79 ≤ r ≤ −0.67). Based on these results, four types of feeding strategies were described: ‘meal eater’, ‘nibbler’, ‘fast eater’ and ‘slow eater’. The feeding parameters most highly correlated with average daily gain were feed intake per day (0.79 ≤ r ≤ 0.93), feed intake per visit or per meal (0.28 ≤ r ≤ 0.54) and rate of feed intake (0.38 ≤ r ≤ 0.43). Pigs showing ‘meal eater and fast eater’ strategies may have some productivity advantages. Breed had a significant effect on many feeding parameters: visits and meals were more frequent in Large White and Pietrain pigs than in Duroc and Landrace pigs, whereas pigs of the last two breeds had a higher size of visits than pigs of the other two breeds. Landrace and Large White pigs spent less total time feeding per day than Pietrain and Duroc pigs; and rate of feed intake was higher in Landrace and Large White pigs compared to Pietrain and Duroc animals. This suggests a ‘specific feeding strategy’ for each breed: Duroc pigs were ‘meal and slow eaters’, Landrace pigs were ‘meal and fast eaters’; Large White pigs were ‘nibblers and fast eaters’, and Pietrain pigs were ‘nibblers and slow eaters’. Changes in light intensity not only affected feeding activity, but also altered the feeding strategy: from 7 to 14 h pigs behaved as a ‘nibblers and slow eaters’; from 14 to 20 h pigs showed a ‘meal eater and fast eater’ strategy, and from 20 to 7 h animals followed a ‘meal eater and slow eater’ strategy.