Introduction
⌅The
human-animal relationship can be facilitated when we select more docile
animals, since they are easier to handle and less stressed than animals
with a worse temperament. Another way to minimize animals' reactivity
to management is through learning methods such as habituation and
operant conditioning with positive reinforcement (Rueda et al., 2015Rueda
PM, Sant’Anna AC, Valente TS, da Costa MJP, 2015. Impact of the
temperament of Nellore cows on the quality of handling and pregnancy
rates in fixed-time artificial insemination. Livest Sci 177: 189-195. https://doi.org/10.1016/j.livsci.2015.04.021
).
Animals that habituate more easily to
management are those that show less agitated behavior throughout
handling and weighing, have lower carcass losses due to a reduced
incidence of bruises, as well as higher weight gains (Tulloh, 1961Tulloh NM, 1961. Behavior of cattle in yards. II. A study of temperament. Anim Behav 9(1-2): 25-30. https://doi.org/10.1016/0003-3472(61)90046-X
; Voisinet et al., 1997Voisinet
BD, Grandin T, O’Connor SF, Tatum JD, Deesing MJ, 1997. Bos
Indicus-cross feedlot cattle with excitable temperaments have tougher
meat and a higher incidence of borderline dark cutters. Meat Sci 46(4):
361-377. https://doi.org/10.1016/S0309-1740(97)00031-4
; King et al., 2006King
DA, Pfeiffer CS, Randel RD, Welsh Jr TH, Oliphint RA, Baird BE, Curley
Jr KO, Vann RC, Hale DS, Savell JW, 2006. Influence of animal
temperament and stress responsiveness on the carcass quality and beef
tenderness of feedlot cattle. Meat Sci 74(3): 546-556. https://doi.org/10.1016/j.meatsci.2006.05.004
; Soares-Gellatly, 2015Soares-Gellatly
DR, Cyrillo JNSG, Sant'anna, Valente, Schwartzkpf-Genswein K,
Paranhos-Da-Costa MJR, 2020. Flight speed as an indicator of Zebu cattle
growth performance and suitability to the feedlot environment. Anim
Produc Sci 60(4): 560-566. https://doi.org/10.1071/AN18785
).
Conditioning is a learning process in which
an animal's behavior is influenced by an environmental stimulus.
Operant conditioning does not rely on previous stimuli; rather, it
depends on the consequences of the behaviour (Skinner, 1938Skinner BF, 1938. The behavior of Organisms: An Experimental Analysis. Appleton-Century, New York. 460 pp.
).
Operant conditioning is a two-way process in which the behavior affects
the environment, and the environment shapes the behaviour (Gottlieb, 2009Gottlieb G, 2009. Individual development and evolution: The genesis of novel behavior. Taylor & Francis, UK. 248 pp. https://doi.org/10.4324/9781410604422
). Positive reinforcement is an effective way to shape it (Akpan, 2020Akpan
B, 2020. Classical and Operant Conditioning-Ivan Pavlov; Burrhus
Skinner. In: Science education in theory and practice: an introductory
guide to learning theory; Akpan B, Kennedy TJ (eds.). pp: 71-84.
Springer, Champaing.
).
The farming environment may present several potentially stress-inducing factors that can influence animal reactivity (Bourguet et al., 2010Bourguet
C, Deiss V, Gobert M, Durand D, Boissy A, Terlouw EMC, 2010.
Characterising the emotional reactivity of cows to understand and
predict their stress reactions to the slaughter procedure. Appl Anim
Behav Sci 125: 9-21. https://doi.org/10.1016/j.applanim.2010.03.008
). The use of frequently handling with positive
reinforcement has been described in the literature as efficient in
reducing reactivity, lowering blood cortisol concentrations, and greater
sexual precocity and pregnancy rate in heifers (Cooke et al., 2009aCooke
RF, Arthington JD, Araujo DB, Lamb GC, 2009a Effects of acclimation to
human interaction on performance, temperament, physiological responses,
and pregnancy rates of Brahman-crossbred cows. J Anim Sci 87: 4125-4132. https://doi.org/10.2527/jas.2009-2021
; Cooke et al., 2009bCooke
RF, Arthington JD, Austin BR, Yelich JV, 2009b. Effects of acclimation
to handling on performance, reproductive, and physiological responses of
Brahman-crossbred heifers. J Anim Sci 87: 3403-3412. https://doi.org/10.2527/jas.2009-1910
; Rueda et al., 2015Rueda
PM, Sant’Anna AC, Valente TS, da Costa MJP, 2015. Impact of the
temperament of Nellore cows on the quality of handling and pregnancy
rates in fixed-time artificial insemination. Livest Sci 177: 189-195. https://doi.org/10.1016/j.livsci.2015.04.021
). Positive stimuli can cause a reduction in the
surface temperature of regions such as the nose of humans and muzzle of
animals, therefore being an indicator of the emotional state of animals (Proctor & Carder, 2016Proctor
H, Carder G, 2016. Can changes in nasal temperature be used as an
indicator of emotional state in cows? Appl Anim Behav Sci 184:1-6. https://doi.org/10.1016/j.applanim.2016.07.013
; Cruz-Albarran et al., 2017Cruz-Albarran
IA, Benitez-Rangel JP, Osornio-Rios RA, Morales-Hernandez LA, 2017.
Human emotions detection based on a smart-thermal system of
thermographic images. Infrared Phys Techn 81:250-61. https://doi.org/10.1016/j.infrared.2017.01.002
).
The emotional state is associated with
changes in skin blood flow in the facial region; thus, facial
temperature can increase or decrease under the control of the autonomic
nervous system (Chotard et al., 2018Chotard
H, Ioannou S, Davila-Ross M, 2018. Infrared thermal imaging: Positive
and negative emotions modify the skin temperatures of monkey and ape
faces. Amer J Primatol 80(5): e22863. http://doi.org/10.1002/ajp.22863
), which are closely related to emotion-based behavioral responses (Travain & Valsecchi, 2021Travain
T, Valsecchi P, 2021. Infrared thermography in the study of animals’
emotional responses: A critical review. Animals 11(9): 2510. https://doi.org/10.3390/ani11092510
). There are already results about changes in nasal temperature in cows, related to positive emotional states (Proctor & Carder, 2014Proctor
HS, Carder G, 2014. Nasal temperatures in dairy cows are influenced by
positive emotional state. Physiol Behav 138:340-4. http://doi.org/10.1016/j.physbeh.2014.11.011
). However, few studies have been conducted on surface temperature changes in beef cattle (Stewart et al., 2008Stewart
M, Schaefer A, Haley D, Colyn J, Cook N, Stafford K, Webster J, 2008.
Infrared thermography as a non-invasive method for detecting
fear-related responses of cattle to handling procedures. Anim Welf
17(4): 387-393. http://doi.org/10.1017/S0962728600027895
; Lees et al., 2018Lees
A, Lea J, Salvin H, Café L, Colditz I, Lee C, 2018. Relationship
between rectal temperature and vaginal temperature in grazing Bos taurus heifers. Animals 8(9): 156. https://doi.org/10.3390/ani8090156
; Leeset al., 2020Lees
AM, Salvin HE, Colditz I, Lee C, 2020. The influence of temperament on
body temperature response to handling in Angus cattle. Animals 10(1):
172. https://doi.org/10.3390/ani10010172
), mainly related to animal handling and facial
surface changes related to handling stress, and not as a result of
anticipation of positive reinforcement. Thus, this study aimed to
evaluate the frequent handling with positive reinforcement as a way to
minimize the stress caused to animals by handling and human-animal
contact, with the possibility of a decrease in conduction time during
routine handling, with evaluation of emotions by infrared thermography.
Material and methods
⌅Local and facilities
⌅The experiment was conducted at the Laboratório de Biometeorologia e Etologia (LABE) of the Faculdade de Zootecnia e Engenharia de Alimentos, University of São Paulo, Fernando Costa Campus, located in the city of Pirassununga, São Paulo, at 21º57'13" south latitude and 47º27'07" west longitude, with an altitude of 606 m. This study was approved by the Ethics Committee on Animal Use (CEUA/FZEA; number 210718052).
The experimental confinement area was composed of 10 paddocks, with an area of 800 m2 each, with access to artificial shade, with 80% protection from solar radiation, at 6 m2 per animal, 16 linear meters of concrete trough, with 1.3 to 1.4 m of trough per animal, avoiding excessive trough disputes and with a drinking fountain with easy access, activated by automatic float.
The handling facility had a 5m curved chute, with closed walls, a squeeze chute, a scale and a wide and long corridor after the exit (Figure 1).
Animals and handling
⌅The study utilised 90 confined heifers from commercial crossbreeding of Nellore heifers and Angus bulls, with an average age of 10 months. The animals were randomly divided into 8 initial lots, 6 lots with 11 animals each, and 2 lots with 12 animals, with an initial average weight of 261.2 ± 18.46 Kg. The animals were then divided into two treatment groups composed of four lots each: the frequent handling group and the control group.
Animals were reared in a pasture system with mineral protein supplementation at the farm of origin. The animals remained in an adaptation period for 15 d, to become used to the diet, where only corn silage and water were provided ad libitum, and the facilities, including handlers and the feedlot. After the adaptation period, the animals were fed an initial diet comprising corn silage and concentrate (40/60).
After the adaptation period to the diet and the facilities, the frequent handling animals were moved on foot to the handling facility every 10 days for a period of 16 weeks. The average distance walked by the animals was 220 m, with four lots, two from each treatment, walking a distance of 180 m, and four lots, two from each treatment, walking 260 m (Figure 2). The animals were driven in a calm manner, one lot at a time, using a mounted horse as a pointer/leader, and with previously trained people moving them at a steady pace. Once in the handling facility, the animals were moved one by one in line, by group through the chute, squeeze chute and scale, without restraint, and at the exit to the management corridor, where they received the reinforcement. Access to the corn meal reward was offered for 15 min in plastic troughs, with a minimum distance of 3 m between one trough and another, and with linear space that allowed all animals to eat at the same time without dispute. The lots were arranged in such a way that the average distance walked was the same between treatments.
Measurements
⌅To evaluate the effectiveness of the frequent handling of the animals to improve daily management, we used the distance to be walked by the animals during the trajectory from the feedlot pen to the handling facility, and the time, determined by a digital stopwatch, in which each lot took to cover the predetermined distance.
Every month, during a four-month experimental period, animals were weighted and data was collected. When the animals reached the handling facility, they entered a chute of 5 m with closed sidewalls, where the respiratory rate was measured. After a sliding door, they entered the squeeze chute and were immobilized for less than 120 s to evaluate rectal temperature and thermographic images. When released from the squeeze chute, they walked through the scale and stayed less than 30 s to assign their reactivity score. The door from the scale provides access to a 2 m wide corridor, 15 m long, where the troughs with corn meal were placed.
The respiration rate was measured in the chute by a previously trained observer before the animals were restrained in squeeze chute by counting the respiratory movements per minute. Afterwards, the animal was contained in the squeeze chute and its rectal temperature was measured using a digital clinical thermometer (Incoterm, precision 0.1°C) placed against the rectal wall.
To capture thermographic images, the
infrared camera (875-2, Testo, Germany) was kept at the level of the
anatomical region being evaluated, with a lateral image to capture the
ocular region and a frontal image to capture the entire forehead of the
animal. The emissivity adopted was 0.98 (Hoffmann et al. 2013Hoffmann
G, Schmidt M, Ammon C, Rose-Meierhofer R, Burfeind O, Heuwieser W, Berg
W, 2013. Monitoring the body temperature of cows and calves using video
recordings from an infrared thermography camera. Vet Res Commun 37:
91-99. https://doi.org/10.1007/s11259-012-9549-3
). The camera was positioned at 90° and with a
standardized distance of 0.5 m from the face. The average temperature of
the forehead was determined by polygonal demarcation, whereas the
muzzle and ears were matched to the anatomical region. The surface
temperature of the eyeball was analysed by circular tracing over the
orbital region, including the eyeball and approximately 1 cm from the
eye cavity, to cover the lacrimal gland (Figure 3). These images were analysed using the camera's own program (IrSoft).
To evaluate the reactivity during weighing, we used the reactivity composite score, adapted by Titto (2010)Titto
EAL, Titto CG, Gatto EG, Noronha CMS, Mourão GB, Nogueira Filho JCM,
Pereira AMF, 2010. Reactivity of Nellore steers in two feedlot housing
systems and its relationship with plasmatic cortisol. Livest Sci
129(1-3): 146-150. https://doi.org/10.1016/j.livsci.2010.01.017
. The same trained observer assigned an individual
composite score from 1 to 4 as follows: score 1, non-reactive animal:
relaxed and without sudden movements; score 2-slightly reactive animal:
slightly restless, alert; score 3-reactive animal: vigorous movements,
alert, tries to escape; score 4-very reactive animal: very tense,
panting, jumping, and struggling. These may present with visible
sclerotic membranes and muscle tremors.
The exit velocity test was adapted from Burrow et al. (1988)Burrow
HM, Seifeirt GW, Cobert NJ, 1988. A new technique for measuring
temperament in cattle. Proc Aust Soc Anim Prod 17: 154-158. http://www.livestocklibrary.com.au/handle/1234/7836
. This evaluation method consists of measuring the
speed at which the animal leaves the weighing scale. The stopwatch was
started as soon as the animal left the scale and closed when it exceeded
2 m of distance. The speed (m/s) was calculated from the time the
animal travelled the distance.
All data was written down on paper worksheets at the time they were collected.
Statistical analysis
⌅For the analyses, the fixed effects of treatment (control and frequent handling), time (month of evaluation/day of weighing management), and their interactions were considered, in addition to the random effect of animals used as residues characterizing repeated structure in time. Data were tested for normality using the Kolmogorov-Smirnov test. For reactivity score (P>0.05) data were arcsine square root transformed to achieve normality (P<0.05), and then returned to the real values to present the results. In the case of significant results for the main effect, Test F was discriminatory. Means were compared using the Tukey-Kramer test at 5%. Analyses were performed using the SAS program (version 9.4; SAS, 2017).
Results
⌅There was a reduction in the time spent driving the heifers of the frequent handling treatment between the paddock and the handling facility, both one-way and return (P<0.05) (Table 1), observed 40 days after the beginning of the process, in the fifth handling event.
| Handling | Average time round (s) | Average time back (s) |
|---|---|---|
| 1 | 336.3±39.83 a | 300.5±27.07 a |
| 2 | 305.3±39.83 a | 248.3±27.07 ab |
| 3 | 383.8±39.83 a | 325.5±27.07 a |
| 4 | 318.3±39.83 a | 266.75±27.07 a |
| 5 | 122.3±39.83 b | 107.25±27.07 c |
| 6 | 245.0±39.83 b | 138.0±27.07 c |
Different lowercase letters in the column were significant P<0.05.
There was an effect of month and an interaction of month and treatment (P<0.05) on the driving time of the heifers from the feeding pen to the handling facility for weighing (Table 2). The time reduced over the months for both treatments, but with greater reduction in animals of the frequent handling treatment.
| Month | Control | Frequent handling | P value |
|---|---|---|---|
| 1 | 196.0±16.63 a | 213.0±16.63 a | 0.99 |
| 2 | 129.3±16.63 b | 71.5±16.63 b | 0.05 |
| 3 | 108.0±16.63 b | 110.0±16.63 b | 0.72 |
| 4 | 110.0±16.63 b | 72.5±16.63 b | 0.05 |
Different lowercase letters in the column were significant P<0.05.
There was an effect of month, and a month x treatment interaction (P<0.05) on the management time for driving heifers from the weighing pen back to the feeding pen (Table 3). In heifers in the control treatment, there was no reduction in time (P>0.05), which was similar to the frequent handling treatment in the first month (P>0.05). In contrast, in animals of the frequent handling treatment, there was a reduction in the time of return driving from the second month (P<0.05), remaining stable until the end of the experiment (P>0.05).
| Month | Control | Frequent handling | P value |
|---|---|---|---|
| 1 | 145.8±20.29 a | 177.8±20.29 a | 0.94 |
| 2 | 115.8±20.29 a | 73.3±20.29 b | 0.05 |
| 3 | 124.3±20.29 a | 76.5±20.29 b | 0.05 |
| 4 | 156.5±20.29 a | 72.0±20.29 b | 0.05 |
Different lowercase letters in the column were significant P<0.05.
Exit velocity values decreased over time, with higher values at month 1 (Management 1 of data collection) and gradually dropping until month 4 (Management 4 of data collection). This indicated that there was an effect of the interaction treatment x time, and time (P<0.05). But on the other hand, no statistical differences were found in the comparison between frequent handling and control animals, indicating that there was no effect of treatment (P>0.05) (Table 4).
| Month | Control | Frequent handling | Month average |
|---|---|---|---|
| 1 | 1.88±0.0954 aA | 1.65±0.0975 aA | 1.77 a |
| 2 | 1.32±0.0954 bA | 1.27±0.0975 bA | 1.40 b |
| 3 | 1.29±0.0954 bcA | 1.04±0.0975 bA | 1.16 c |
| 4 | 1.04±0.0954 cA | 1.15±0.0975 bA | 1.09 c |
| Treatment | 1.43±0.0782 A | 1.28±0.08 A |
Different lowercase letters in the column and uppercase in the row were significant P<0.05.
Physiological variables, such as rectal temperature and respiration rate, showed that there was no effect of treatment x month (P>0.05) but treatment and month were significant when evaluated as an isolated effect (Tables 5 and 6). Analyzing only the treatment, it was observed that there was a significant difference (P<0.05) in both rectal temperature and respiration rate, with frequent handling of animals showing lower mean values for both variables (Tables 5 and 6). The values behaved differently in relation to each month (P<0.05) but did not gradually decrease over time.
| Month | Control | Frequent handling | Month average |
|---|---|---|---|
| 1 | 39.8±0.06 | 39.5±0.06 | 39.65±0.045 b |
| 2 | 40.1±0.06 | 39.6±0.06 | 39.85±0.045 a |
| 3 | 39.9±0.06 | 39.6±0.07 | 39.75±0.046 ab |
| 4 | 40.0±0.08 | 39.6±0.07 | 39.78±0.051 ab |
| Treatment | 39.93±0.044 A | 39.58±0.045 B |
Different lowercase letters in the column and uppercase in the row were significant P<0.05.
| Month | Control | Frequent handling | Month average |
|---|---|---|---|
| 1 | 55.7±1.49 | 48.55±1.52 | 52.1±1.09 b |
| 2 | 54.1±1.49 | 51.5±1.52 | 52.8±1.09 b |
| 3 | 54.1±1.49 | 51.4±1.52 | 52.8±1.09 b |
| 4 | 64.2±1.49 | 58.4±1.52 | 61.3±1.09 a |
| Treatment | 57.7±0.74 A | 52.5±0.77 B |
Different lowercase letters in the column and uppercase in the row were significant P<0.05.
For reactivity, there was no effect of interaction treatment x month (P = 0.1309), but an effect of treatment, with an average of 1.28 ± 0.081 for the groups of frequent handled heifers and 2.38 ± 0.079 for the group of control heifers. There was also an effect of month (P=0.001), explained by a decrease in reactivity over time, but with and slight increase in the last month (Table 7).
| Month | Control | Frequent handling | Month average |
|---|---|---|---|
| 1 | 2.26±0.157 | 2.07±0.161 | 2.16±0.113 a |
| 2 | 2.80±0.157 | 1.98±0.161 | 2.39±0.113 a |
| 3 | 2.00±0.159 | 1.72±0.162 | 1.86±0.114 b |
| 4 | 2.47±0.157 | 1.77±0.162 | 2.11±0.114 a |
| Treatment | 2.38±0.079 A | 1.88±0.081 B |
Different lowercase letters in the column and uppercase in the row were significant P<0.05.
Infrared thermography image analyses showed treatment effects for the muzzle and ocular temperature, with higher means for the control animals (P<0.05; Table 8). The other variables, such as frontal temperature and left and right ear temperatures, were not affected by frequent handling (P>0.001).
| Face region | Control | Frequent handling | P value |
|---|---|---|---|
| Frontal (°C) | 34.00±0.22 | 34.14±0.22 | 0.6465 |
| Muzzle (°C) | 33.57±0.12 | 32.67±0.12 | 0.0001 |
| Left ear (°C) | 32.59±0.21 | 32.44±0.21 | 0.6408 |
| Right ear (°C) | 32.39±0.22 | 32.15±0.21 | 0.4441 |
| Ocular (°C) | 37.98±0.10 | 37.69±0.10 | 0.0500 |
Discussion
⌅Reactivity is a behavioral response linked to temperament, which is inherent to an individual with a permanent character (Grandin et al., 1995Grandin
T, Deesing MJ, Struthers JJ, Swinker AM, 1995. Cattle with hair whorl
patterns above the eyes are more behaviourally agitated during
restraint. Appl Anim Behav Sci 46(1-2): 117-123. https://doi.org/10.1016/0168-1591(95)00638-9
). In this study, frequent handling with positive
reinforcement did not reduce the animals' reactivity, but the exit
velocity showed that there was a reduction in reactivity over time. This
corroborates the results of Titto et al. (2010)Titto
EAL, Titto CG, Gatto EG, Noronha CMS, Mourão GB, Nogueira Filho JCM,
Pereira AMF, 2010. Reactivity of Nellore steers in two feedlot housing
systems and its relationship with plasmatic cortisol. Livest Sci
129(1-3): 146-150. https://doi.org/10.1016/j.livsci.2010.01.017
, who observed a significant reduction in reactivity
over the time of evaluation and management, suggesting that the animals
became accustomed to the management used, classified by the author as
gentle. This demonstrates that even in the absence of reinforcement,
habituation of animals occurs to the presence of humans and to the
environment, with a decrease in reactivity (Ceballos et al., 2016Ceballos
MC, Góis KCR, Sant’Anna AC, da Costa, MJ, 2016. Frequent handling of
grazing beef cattle maintained under the rotational stocking method
improves temperament over time. Anim Prod Sci 58(2): 307-313. http://doi.org/10.1071/AN16025
).
Frequent handling positively influenced reactivity. The animals in the frequent handling group already knew the route to the management corral as well as the route and people involved. This familiarity contributed to a reduction in the time spent driving the animals in the frequent handling group compared to that in the control group, although the time spent on the route to the management corral decreased for both groups over time. Handling also affected the physiological responses of animals during handling in the corral.
The
analysis of physiological variables showed that frequent handling was
beneficial to the animals, as indicated by a decrease in rectal
temperature and respiratory rate. These probably occurred because the
animals already knew the route to the management pen and were
anticipating a positive stimulus. A study by Waiblinger et al. (2004)Waiblinger
S, Menke C, Korf J, 2004. Previous handling and gentle interactions
affect behaviour and heart rate of dairy cows during a veterinary
procedure. Appl Anim Behav Sci 85(1-2): 31-42. https://doi.org/10.1016/j.applanim.2003.07.002
also observed benefits for the animals and routine
management, it was found that previous management and positive
interactions between handler and cow (such as feeding and tactile
stimulation) reduced heart rate and less movement during rectal
palpation or insemination. On the other hand, the animals in the control
group that had less frequent trips to the management pen and had no
offered reward (positive reinforcement) showed higher respiratory rate
and rectal temperature, probably due to the lack of familiarity with the
management site (Bourguet et al., 2010Bourguet
C, Deiss V, Gobert M, Durand D, Boissy A, Terlouw EMC, 2010.
Characterising the emotional reactivity of cows to understand and
predict their stress reactions to the slaughter procedure. Appl Anim
Behav Sci 125: 9-21. https://doi.org/10.1016/j.applanim.2010.03.008
), route to the pen, and the presence of people making this situation more stressful for the control group.
Stressful
situations cause the activation of the hypothalamic-pituitary-adrenal
axis, and a cascade of changes occurs in the animal with the increase in
the release of catecholamines and glucocorticoids, which can cause an
increase in internal temperature (Proctor & Carder, 2014Proctor
HS, Carder G, 2014. Nasal temperatures in dairy cows are influenced by
positive emotional state. Physiol Behav 138:340-4. http://doi.org/10.1016/j.physbeh.2014.11.011
), as was seen in the females in the present
experiment. The increase in rectal temperature may have influenced eye
temperature, because eye temperature is sensitive to changes in internal
temperature. Therefore, it correlates best with rectal temperature (Barros et al., 2016Barros
DV, Silva LKX, Kahwage, PR, Lourenço Júnior JB, Sousa JS, Silva AGM,
Franco IM, Martorano LG, Garcia AR, 2016. Assessment of surface
temperatures of buffalo bulls (Bubalus bubalis) raised under tropical
conditions using infrared thermography. Arq Bras Med Vet Zoot 68(2):
422-430. https://doi.org/10.1590/1678-4162-8327
; McCafferty, 2007McCafferty
DJ, 2007. The value of infrared thermography for research on mammals:
previous applications and future directions. Mamm Rev 37: 207-223. https://doi.org/10.1111/j.1365-2907.2007.00111.x
). Thus, an increase in body temperature due to
stress exposure may increase ocular temperature through ocular
vasodilation to eliminate the heat generated by stress. The average
muzzle temperature was also higher in animals in the control group than
in frequent handling animals. According to Lowe et al. (2019)Lowe
G, Sutherland M, Waas J, Schaefer A, Cox N, Stewart M, 2019. Infrared
thermography-A non-invasive method of measuring respiration rate in
calves. Animals 9(8): 535. https://doi.org/10.3390/ani9080535
, during inspiration, fresh air passes through the
nostrils, and during expiration, warm air is eliminated; thus, a higher
respiratory rate due to the animal's nervousness would enable more
chances of higher temperature readings, besides the nostrils being a
form of heat dissipation when the animals are under thermal stress.
Furthermore, frequent handling animals showed lower nasal surface
temperature, probably as a result of anticipation of a positive reward
causing peripheral vasoconstriction in this region (Proctor &
Carder, 2014; Chotard et al., 2018Chotard
H, Ioannou S, Davila-Ross M, 2018. Infrared thermal imaging: Positive
and negative emotions modify the skin temperatures of monkey and ape
faces. Amer J Primatol 80(5): e22863. http://doi.org/10.1002/ajp.22863
).
Similar results were found by Mincu et al. (2023)Mincu
M, Nicolae I, Gavojdian D, 2023. Infrared thermography as a
non-invasive method for evaluating stress in lactating dairy cows during
isolation challenges. Frontiers Vet Sci 10: 1236668. https://doi.org/10.3389/fvets.2023.1236668
in dairy cows; after stress by isolation challenge,
they showed an increase in orbital and nasal temperatures. Therefore,
changes in blood flow (sympathetic capillary activity) can reflect how
the central nervous system reacts to different stress conditions;
therefore, it can be used as a tool to measure the emotional state of
cattle.
It was concluded that the use of frequent handling with positive reinforcement was effective in decreasing animal temperament indicators, such as exit velocity, reactivity score and respiratory rate. It was also effective in decreasing the time the animals spent walking to the pen-chute and back to the paddocks, showing that the management was carried out in a gentle manner and that the animals may have become accustomed to the management and more frequent human contact.
Ethical approval
⌅This study was approved by the Ethics Committee on Animal Use (Comissão de Ética no Uso de Animais da Faculdade de Zootecnia e Engenharia de Alimentos, CEUA/FZEA; number 210718052).
Acknowledgements
⌅We acknowledge Sr. Arlindo Gagliardi and Recreio Farm for providing animals for this study. In memorian of Professor Evaldo Titto, our mentor.
Competing interests
⌅The authors have declared that no competing interests exist.
Statement about use of generative AI
⌅The author(s) employed deepl.com in order to translate to Spanish the title, abstract and key words while preparing this work. Following their use, the author(s) assumed full responsibility for the publication's content and reviewed and edited it as necessary.
Authors’ contributions
⌅Vitor Ramos Pacor: Funding acquisition, Investigation, Project administration, Visualization, Writing - original draft. Messy Hannear de Andrade Pantoja: Writing - original draft, Writing - review & editing. Douglas Henrique Silva de Almeida: Investigation. Isabela Martins Dias Batista: Investigation. Milena Schempp Consorti: Investigation. Cihan Çakmakçı: Formal analysis. Cristiane Gonçalves Titto: Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Supervision, Writing - original draft, Writing - review & editing.
| Funding agencies/institutions: | Project / Grant |
|---|---|
| Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) | 001 |