Volume 95, Issue 1 e13980
RESEARCH ARTICLE
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Rumen-protected methionine modulates body temperature and reduces the incidence of heat stress temperatures during the hottest hours of the day of grazing heat-stressed Bos indicus beef cows

Vinicius de Souza Izquierdo

Vinicius de Souza Izquierdo

Range Cattle Research and Education Center, University of Florida, Ona, Florida

Center for Research, Education and Extension in Livestock (NUPEEC), Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil

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Bernardo da Silva Menezes

Bernardo da Silva Menezes

Center for Research, Education and Extension in Livestock (NUPEEC), Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil

Programa de Pós-Graduação em Zootecnia FAEM UFPel, Pelotas, Rio Grande do Sul, Brazil

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Matheus Gomes Lopes

Matheus Gomes Lopes

Center for Research, Education and Extension in Livestock (NUPEEC), Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil

Elanco São Paulo, São Paulo, Brazil

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Edgard Gonçalves Malaguez

Edgard Gonçalves Malaguez

Center for Research, Education and Extension in Livestock (NUPEEC), Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil

Programa de Pós-Graduação em Zootecnia FAEM UFPel, Pelotas, Rio Grande do Sul, Brazil

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Fernanda Lopes

Fernanda Lopes

Adisseo Brasil São Paulo, São Paulo, Brazil

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Fabricio Molina Pereira

Fabricio Molina Pereira

Molina Assessoria Pecuária, Marabá, Pará, Brazil

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Cassio Cassal Brauner

Corresponding Author

Cassio Cassal Brauner

Center for Research, Education and Extension in Livestock (NUPEEC), Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil

Programa de Pós-Graduação em Zootecnia FAEM UFPel, Pelotas, Rio Grande do Sul, Brazil

Correspondence

Eduardo Schmitt and Cassio Brauner, Center for Research, Education and Extension in Livestock (NUPEEC), Federal University of Pelotas, CEP: 96010-610, Pelotas, Rio Grande do Sul, Brazil.

Email: [email protected] and [email protected]

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Philipe Moriel

Philipe Moriel

Range Cattle Research and Education Center, University of Florida, Ona, Florida

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Marcio Nunes Corrêa

Marcio Nunes Corrêa

Center for Research, Education and Extension in Livestock (NUPEEC), Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil

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Eduardo Schmitt

Corresponding Author

Eduardo Schmitt

Center for Research, Education and Extension in Livestock (NUPEEC), Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil

Programa de Pós-Graduação em Zootecnia FAEM UFPel, Pelotas, Rio Grande do Sul, Brazil

Correspondence

Eduardo Schmitt and Cassio Brauner, Center for Research, Education and Extension in Livestock (NUPEEC), Federal University of Pelotas, CEP: 96010-610, Pelotas, Rio Grande do Sul, Brazil.

Email: [email protected] and [email protected]

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First published: 25 July 2024
Citations: 1

Abstract

This study evaluated the effects of supplementation of rumen-protected methionine (RPM) on body thermoregulation and conception rate of Nelore cows exposed to high temperature–humidity index (THI). On −31 days before the artificial insemination protocol, 562 lactating, multiparous cows were assigned to receive (MG) or not (CG) RPM supplementation (3 g/cow mixed into 100 g of mineral supplement). Both groups remained in tropical pastures and received supplementation for 77 days. A subset of cows (n = 142) remained with an intravaginal thermometer collecting intravaginal temperature (IT). The respective minimum, average, and maximum environmental THI were 72.8, 78.0, and 83.3. Effects of treatment × hour of the day were detected (P < 0.0001) for IT. From 1330 to 1730 h and 1830 to 1900 h, IT was higher (P < 0.05) for CG versus MG cows when exposed to moderate and high THI. The supplementation with RPM did not affect conception rate (CG = 64.4% vs. MG = 58.2%; P > 0.05). In conclusion, 3 g of RPM supplementation lowered internal body temperature and possibly altered critical THI threshold in Nelore cows with no impact on reproduction.

1 INTRODUCTION

The global temperature has continuously increased in recent decades. In 2019, the global average temperature was 1.1°C higher than during the pre-industrial period, marking it as the second warmest year on record (World Meteorological Organization [WMO], 2019). Livestock directly experiences heat stress (HS) as environmental temperatures (ETs) increase beyond the thermoregulation threshold (Hansen, 2004). Feed intake, milk yield, meat quality, physiological functions, and reproductive performance of cattle have negative impacts because of HS (Guo et al., 2018; Lees et al., 2019; López-Gatius & Hunter, 2020; Rahman et al., 2018; Zhang et al., 2020).

Over the last few decades, parameters used to measure HS in the environment and animals include the temperature–humidity index (THI), respiratory and heart rate monitoring, and internal body temperature (Dikmen & Hansen, 2009; Ji et al., 2020; Kaufman et al., 2018). These tools aid producers in deciding the strategic timing and actions to mitigate HS, such as management and nutritional strategies. Providing shaded areas for cattle grazing on pastures or in feedlots (Grandin, 2016; Van Laer et al., 2014), as well as dietary supplementation of vitamin E, methionine, and betaine, have been applied to alleviate HS effects, leading to improved cattle production and reproductive performance (Negrón-Pérez et al., 2019; Zhang et al., 2020).

The metabolism of animals shifts due to HS. Instead of utilizing lipolytic pathways as a source of glucose, heat-stressed cows increase skeletal-muscle protein catabolism, where amino acids play an important role (Baumgard & Rhoads, 2013). Methionine, an essential amino acid, must be supplied in the diet (Parkhitko et al., 2019). Studies on rats subjected to dietary methionine restriction have shown increased body temperature, cell respiration rate, and expression of uncoupling protein 1 (UCP1) compared with rats without dietary methionine restriction (Hasek et al., 2010; Patil et al., 2015). Moreover, methionine supplementation improves protein synthesis, prevents proteolysis (Del Vesco et al., 2015), and participates in the process of heat sensitivity (Fricke et al., 2019).

Methionine supplementation for cattle should be in the rumen-protected form to avoid rumen degradation and increase small intestine supply (Sudekum et al., 2004). In beef heifers, rumen-protected methionine (RPM) lowered internal body temperature, increased body weight gain (BW), and increased follicle size in Brangus (Dominguez et al., 2020), and reduced stress during transportation (Alfaro et al., 2020). Supplementation of beef cows with methionine hydroxy analog also altered maternal plasma concentration of glucose (Palmer et al., 2020) and offspring muscle gene expression (Liu et al., 2020). Despite the better thermoregulation of Bos indicus vs. Bos taurus breeds (Hansen, 2004), the benefits of methionine supplementation observed in other species and cattle categories make this supplementation strategy a suitable alternative to mitigate HS in B. indicus beef cows.

We hypothesized that RPM supplementation will reduce internal body temperature of Nelore cows during HS and improve their reproductive performance in hot and humid environments. Hence, our objectives were to evaluate the effects of RPM supplementation on body thermoregulation and conception rate of Nelore cows exposed to high THI.

2 MATERIAL AND METHODS

The experiment was conducted on a commercial beef farm in São Domingos do Araguaia, PA, Brazil (5° 31′ 39″ S, 48° 49′ 18″ W), from November 2019 to March 2020. All animals were cared according to experimental protocols approved by Animal Experimentation Ethics Committee of the Federal University of Pelotas, under protocol number 5069.

2.1 Animals and supplementation

In the present study, 562 multiparous lactating Nelore (B. indicus) cows were stratified by days postpartum (15 ± 8 days) and assigned into three blocks according to their calving month (187 cows/block; the first block started in November, the second block in December, and third block in January). Thereafter, cows within each block were assigned to different pastures (two pastures/block; 94 cows and 31 ± 10.5 ha/pasture) of warm-season grasses (Urochloa decumbens, Urochloa humidicola, and Megathyrsus maximus). Cows from both groups were rotated among pastures, and the average days on each pasture was 18 ± 7.9 days. Thirty-one days before fixed-time artificial insemination (FTAI), pastures within each block were assigned to receive one of two treatments (four pasture/treatment), which consisted of free choice access to a mineral salt supplement (target intake of 100 g/cow/day) added (MG) or not (CG) with 3 g of RPM per cow daily (Smartamine® M, Adisseo, Antony, France). Smartamine® M contains 75% DL-Met, which is physically protected by a pH-sensitive coating, for an estimated 80% bioavailability (Ordway et al., 2009). Therefore, MG cows were supplemented with 1.8-g metabolizable methionine for every 3 g of Smartamine® consumed. All supplements were provided twice weekly (Monday and Thursday) in covered feed bunks (with 4 m of area). Before supplements were offered, a 5-g sample of the residue and the offer were collected and analyzed for dry matter (DM) concentration to calculate daily supplement intake. Cows were supplemented for 77 days (d−31 until pregnancy diagnosis; d46). The distribution of animals among the repetitions was the following: CG1 n = 85, MG1 n = 100; CG2 n = 97, MG2 n = 100; CG3 n = 93, MG3 n = 87.

2.2 Forage allowance

Forage mass was assessed on the day the cows were introduced in each paddock. The double sampling method of National Range and Pasture Handbook (2003) was used to estimate forage mass; the results were expressed in kilograms DM/ha (kg DM/ha). Forage allowance per animal unit (AU) per day was calculated as the total forage mass divided by the number of AU and the number of days the cows grazed in each paddock. The results are expressed in kg DM * AU−1/day.

2.3 Environmental parameters

Ambient ET and relative humidity (RH) were measured every 30 min from d1 to d8, the same period that the animals had the intravaginal temperatures (ITs) measured, using a data logger (Hygrochron® DS 1923; Ibutton®, Thermochron, Whitewater, USA), with ±0.5°C accuracy in the range of −10°C to +65°C, and RH range of 0%–100%. The data logger was placed near the experimental areas. The THI was used as an indicator of HS and calculated according to the equation described by Dikmen and Hansen (2009):

THI = (1.8 * ET + 32) − [(0.55–0.0055 * RH) * (1.8 * ET − 26)]. Minimum, average, and maximum THI values recorded during the period of the FTAI protocol are shown in Table 1.

TABLE 1. Supplement intake, forage allowance, forage mass, treetop area, minimum, average, and maximum THI, and average daily cumulative heat load of the control group and the methionine group during the three blocks.
Block Group DM supplement intake (g/head/day) Forage allowance (kg DM/AU/day) Forage mass (kg DM)/ha Treetop area (m2/AU) Minimum THI Average THI Maximum THI Average daily cumulative heat load
1 CG 91.18 ±8.70 96.02 ±16.49 3453.93 ±1309.58 397.38 74.73 78.12 82.98 52.25 ±11.36
MG 99.45 ±8.25 64.29 ±23.33 3043.33 ±1242.82 99.32
2 CG 114.98 ±8.47 45.80 ±20.20 3433.90 ±1634.65 371.03 74.14 78.29 82.68 53.50 ±9.50
MG 98.53 ±8.70 59.30 ±16.49 3098.27 ±1846.28 110.53
3 CG 101.21 ±11.13 58.94 ±20.20 2545.90 ±374.63 184.33 72.76 77.73 83.28 50.63 ±8.98
MG 108.84 ±11.13 51.00 ±23.33 2327.33 ±425.18 345.14
  • Note: Values expressed as means ± SE. Different letters in the same column indicate statistical difference (P < 0.05).
  • a Supplement was provided twice weekly, and the supplement intake was calculated by decreasing the residue amount out of the offer amount; 5-g samples of the offer and residue were collected to calculate the dry matter.
  • b Forage mass was assessed on the day the cows were introduced in each paddock using the double sampling method. Forage allowance per animal unit per day was calculated as the total forage mass divided by the number of animal units and the number of days the cows grazed in each paddock.
  • c Treetop area was calculated using an application that shows a satellite view of the pastures (Auravant®). All treetop areas were measured per paddock and divided by the number of animal units on that paddock.
  • d Minimum, average, and maximum temperature–humidity index (THI) observed from day 1 to day 8 of the fixed-time artificial insemination protocol was calculated according to Dikmen and Hansen (2009) as THI = (1.8 * ET + 32) − [(0.55–0.0055 * RH) * (1.8 * ET − 26)].
  • e Average daily cumulative heat load from day 1 to 8 was calculated based on the hourly THI average and the respective THI level (Mateescu et al., 2020). The THI levels consisted of cool (THI < 68), neutral (68 to 72), low (72 to 76), moderate (76 to 79), high (79 to 83), and critical (THI > 83). Values of −1, 0, 1, 2, 3, and 4 were assigned to cool, neutral, low, moderate, high, and critical, respectively. Then, the sum of hourly values was used to calculate the daily cumulative heat load over each 24-h period.

Daily cumulative heat load was calculated from days 1 to 8 (Table 1) as an indicator of HS level (Mateescu et al., 2020) and calculated using the hourly average THI. The THI levels were cool (THI < 68), neutral (68 to 72), low (72 to 76), moderate (76 to 79), high (79 to 83), and critical (THI > 83). For each THI level, one value was assigned: −1, 0, 1, 2, 3, and 4 corresponding to cool, neutral, low, moderate, high, and critical, respectively. The THI levels observed were low, moderate, and high during the measurements. Then, daily cumulative heat load was calculated by the sum of the hourly values over each 24-h period (Moriel et al., 2022).

2.4 FTAI protocol and pregnancy diagnosis

On day 0, all cows were assigned to the same FTAI protocol and always managed at 0800 h. The protocol consisted of i.m. injection of 2.00-mg estradiol benzoate (Gonadiol®; Zoetis; São Paulo, Brazil) and the insertion of an intravaginal controlled internal drug release with 1.90-mg progesterone (CIDR®; Zoetis; São Paulo, Brazil) on d0. Nine days later (d9), the CIDR was removed, and three i.m. injections were done. One with 0.48 mg cloprostenol sodium (Estron®; Agener União; São Paulo, Brazil), one with 300-IU equine chorionic gonadotropin (Novormon®; Zoetis; São Paulo, Brazil), and one with 1.0-mg estradiol cypionate (E.C.P.®; Zoetis; São Paulo, Brazil). Artificial insemination was performed on d11 by a single inseminator. Semen was randomly distributed among the cows according to the farm's management. Pregnancy diagnosis was performed 35 days after AI (d46) by ultrasound (DP-2200 Vet®; Mindray; Shenzhen, China). The conception rate was calculated as the number of pregnant cows divided by the total of inseminated cows.

2.5 Body weight and body condition score (BCS)

Within each block, cows were weighed on d0 and their BW was used to calculate herbage allowance at each paddock. BCS was evaluated by a trained person on d0, using a 1–5 scale, where 1 is very lean and 5 is very fat (Lowman et al., 1976). Cow body weight and BCS distribution on d0 are shown in Table 2.

TABLE 2. Body weight and body condition score distribution of CG and MG cows determined on d0 of the fixed-time artificial insemination protocol.
Block Group Body weight (kg) Body condition score (%)
1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0
1 CG 432.61 ± 27.46 - 10.59 30.59 45.88 8.24 4.70 - -
MG 437.59 ± 19.59 - 10.00 36.00 39.00 13.00 2.00 - -
2 CG 448.70 ± 18.86 - 6.19 39.18 41.24 8.25 5.14 - -
MG 439.36 ± 11.04 1.00 12.00 38.00 42.00 7.00 - - -
3 CG 441.69 ± 21.35 - 10.75 30.11 41.94 13.97 3.23 - -
MG 462.16 ± 23.16 - 2.30 33.33 44.83 13.79 4.60 - 1.15
  • Note: Body weight values expressed as means ± SE. BCS expressed as % of the total number of cows per block.
  • a Body weight obtained on d0 of the fixed-time artificial insemination protocol.
  • b Body condition score observed on d0 of the fixed-time artificial insemination protocol using a 1–5 scale, where 1 is very lean and 5 is very fat.

2.6 IT

ITs were collected from a subset of animals every 30 min, between d0 and d9 of the FTAI protocol, using a data logger (Thermochron® DS 1921H, Ibutton®, Thermochron, Whitewater, USA) attached to the CIDR (total of 48 readings/day). The day that the sensors were inserted and removed (d0 and d9) were excluded from the analyses because cow handling may influence internal temperature (Davila et al., 2019). Therefore, IT was collected for 8 days, and 384 readings/cow were observed. IT was measured in 142 cows (68 of CG, and 74 of MG), with a total of 54,528 IT records obtained in all three blocks of both treatments. ITs were classified as thermal stress when >39.3°C and as physiological temperatures when ≤39.3°C, according to Du Preez (2000).

The percentage of temperatures above 39.3°C was calculated by dividing the number of temperature reads exceeding 39.3°C by the total number of temperature reads. Aiming to determine the percentage of cows with temperatures above 39.3°C, cows were classified based on whether they had at least one temperature reading within a day (1) or not (0). Then, the number of cows with internal temperatures exceeding 39.3°C was divided by the total number of cows.

2.7 Shade measurements

Shade area was calculated based on treetop area measurements using an application that shows a satellite view of the pastures (Auravant®, Buenos Aires, Argentina). All treetop areas were measured per paddock, and the results are expressed in m2/AU.

2.8 Statistical analyses

All results were presented as means ± standard error of the mean. Data were analyzed according to a completely randomized block design with two treatments (CG vs. MG), three blocks, and pasture as the experimental unit (JMP 15 software, SAS Institute Inc. Cary, NC, USA). Cow (pasture) and pasture (treatment) were considered the random effects in all statistical analyses. DM supplement intake, forage allowance, and forage mass were analyzed using the mixed procedure and tested for the fixed effect of treatment. The Treetop area was evaluated by the two-way analysis of variance (ANOVA) without replication. IT data were analyzed as repeated measures and tested for fixed effects of treatment, hour of the day, and treatment × hour of the day, using the mixed procedure and cow (pasture) as a subject. Intravaginal data were divided into the six THI levels (Mateescu et al., 2020) previously described (cool [THI < 68], neutral [68 to 72], low [72 to 76], moderate [76 to 79], high [79 to 84], and critical [THI > 84]), and analyzed using the mixed procedure for fixed effects of treatment, THI level, and treatment × THI level. The percentage of temperatures above 39.3°C was analyzed using the GLIMMIX procedure and tested for fixed effects of treatment, hour of the day, and treatment × hour of the day. The percentage of cows above 39.3°C was analyzed using the GLIMMIX procedure and tested for fixed effects of treatment, day, and treatment × day. The percentage of pregnant cows to FTAI was analyzed using the GLIMMIX procedure and tested for fixed effects of treatment. Significance was set at P ≤ 0.05, and tendencies when P > 0.05 and P ≤ 0.10.

3 RESULTS

Effects of treatment were not detected (P > 0.23) for supplement intake, forage allowance, forage mass, and treetop area (Table 1). Total rainfall during the FTAI protocol was 34, 84, and 134 mm for blocks 1, 2, and 3, respectively.

Effects of treatment × hour of the day were detected (P < 0.0001) for IT. From 1330 to 1730 h and 1830 to 1900 h, IT was greater (P < 0.05) for CG versus MG cows (Figure 1). Effects of treatment × hour of the day were detected (P < 0.0001) for the percentage of IT above 39.3°C (Figure 2). From 1330 to 1830 h, the MG had a lower percentage of temperature reads >39.3°C, with the greatest difference at 1600, where the CG had 58.96% of the temperatures >39.3°C, and the MG had 28.51%. At 1300 and 1900 h, the MG tended to have a lower percentage of IT >39.3°C (P ≤ 0.09).

Details are in the caption following the image
Average intravaginal temperature of 142 cows (block 1 CG = 34 MG = 29; block 2 CG = 8 MG = 21; block 3 CG = 26 MG = 24), and average temperature–humidity index (THI) of blocks 1, 2, and 3, from day 1 to 8 of the fixed-time artificial insemination protocol of Nelore cows assigned to receive (MG) or not (CG) a supplementation with 3 g/day of rumen-protected methionine from day −31 to 46. Effects of treatment × hour of the day were detected (P < 0.0001) for intravaginal temperature from day 1 to 8. Within hour, means with a common superscript differ (×P ≤ 0.05).
Details are in the caption following the image
Percentage of intravaginal temperature above 39.3°C of 142 cows (block 1 CG = 34 MG = 29; block 2 CG = 8 MG = 21; block 3 CG = 26 MG = 24) from day 1 to 8 of the fixed-time artificial insemination protocol of Nelore cows assigned to receive (MG) or not (CG) a supplementation with 3 g/day of rumen-protected methionine from day −31 to 46. Effects of treatment × hour of the day were detected (P < 0.0001) for intravaginal temperature from day 1 to 8. Within hour, means with a common superscript differ (×P ≤ 0.05).

Effects of treatment, THI level, and treatment × THI level were detected (P ≤ 0.0001) for IT (Table 3). In the low THI level (72 ≤ THI < 76), no effects of RPM supplementation were detected (P = 0.26). In the moderate and high THI levels, the MG had lower IT than CG (P ≤ 0.02). The greater IT difference was observed in the high THI level (CG = 39.34°C, MG = 39.16°C). Effects of treatment were not detected (P = 0.17) for conception rates, which were 58.2% and 64.4% for MG and CG cows, respectively (Table 3).

TABLE 3. Percentage of cows with at least one intravaginal temperature above 39.3°C, intravaginal temperature in the low, moderate, and high THI levels, and pregnancy rate on day 46 of the control and methionine groups.
Item Supplementation P value P value P value
CG MG SEM P Treatment Day Treatment × day
Cows with at least one intravaginal temperature read above 39.3°C, % of total
Day 1 89.71 66.22 5.20 <0.001 0.01 <0.0001 0.01
Day 2 82.35 82.43 5.20 0.99
Day 3 92.65 74.32 5.20 0.01
Day 4 91.18 78.38 5.20 0.08
Day 5 82.35 56.76 5.20 <0.001
Day 6 75.00 67.57 5.20 0.30
Day 7 61.76 59.46 5.20 0.75
Day 8 58.82 48.65 5.20 0.16
Intravaginal temperature, °C Treatment THI level Treatment × THI level
Low THI (72 ≤ THI < 76) 38.79 38.75 0.02 0.26 <0.001 <0.0001 <0.0001
Moderate THI (76 ≤ THI < 80) 39.00 38.92 0.02 0.02
High THI (80 ≤ THI < 84) 39.34 39.16 0.02 <0.0001
Pregnant on day 46, % of total 64.40 58.20 3.52 - 0.17 - -
  • a 562 Nelore cows were assigned to receive (MG) or not (CG) a supplementation with 3 g/day of rumen-protected methionine from day −31 to 46, intravaginal data were measured from a subset group of cows (n = 142) from day 1 to day 8 of the FTAI protocol.
  • b Cows were classified if they had at least one read of intravaginal temperature >39.3°C within a day (1) or if they did not (0), and then the number of cows that had IT >39.3°C was divided by the total number of cows to calculate the percentage of cows with at least one IT >39.3°C.
  • c Intravaginal data were divided into the three THI levels low (72 to 76), moderate (76 to 79), and high (79 to 84).
  • d Pregnancy rate was calculated by the division of the number of cows pregnant by the number of total cows.

4 DISCUSSION

In the current study, forage mass, forage allowance, and daily supplement intake data did not differ between treatments. Forage allowance was above the minimum threshold to limit forage DM intake (Inyang et al., 2010). Supplement intake results showed that the intake of 3 g of Smartamine®/head/day was successfully achieved for MG cows. Previous studies utilized RPM supplementation for beef cattle at different doses of absorbable methionine, ranging from 2.4 to 4.9 g/day (Alfaro et al., 2020; Dominguez et al., 2020; Silva et al., 2021). It is important to note that different research conditions among these studies, such as animal categories and management practices (e.g., grass vs. hay), may result in different animal methionine requirements (Cantalapiedra-Hijar et al., 2020). In our study, however, animal category and management practices were not a concern since all the animals were from the same category, and cows from each block were rotated in the same pastures.

The efficiency of maintaining constant body temperature in cattle is influenced by ET and humidity changes. Cattle lose body heat primarily by evaporation, but this mechanism is not effective in high-THI environments, leading to increased heat load and HS (Almeida et al., 2020). Daily cumulative heat load observed herein indicated that all cows experienced HS as it was consistently >34. When daily cumulative heat load is >34, cattle capacity to maintain internal temperature <39°C is jeopardized, regardless of breed (Mateescu et al., 2020). The severity of the effects of HS depends on the duration and intensity to which the animals are exposed to high THI. The THI values observed herein indicated that cows were under moderate to high HS (Cordeiro et al., 2020; Mateescu et al., 2020). Mader et al. (2010) observed that the thermoregulation capacity of animals is related to their cooling ability at night, highlighting the importance of evaluating the daily cumulative heat load rather than just the THI peak. Despite this, in our study, it seems that the cows exposed to moderate or high HS, the internal temperature differences were not maintained at night, indicating that the CG could return to normal internal temperature during the night. This observation may partially explain the lack of differences in reproductive variables between the groups.

Studies demonstrated that the pregnancy rate is reduced when Nelore cows are exposed to THI > 75.7 (Cordeiro et al., 2020) and when B. taurus beef cows are maintained in environments with THI > 73 (Amundson et al., 2006). Our study observed average THI values greater than these studies that evaluated the THI effects on pregnancy rate, with the maximum THI observed, in our study, greater than 82 in all three blocks. We expected pregnancy rate improvement with RPM supplementation because previous studies from our group showed that Brangus heifers supplemented with RPM had larger follicles than those not supplemented (Dominguez et al., 2020). Also, Toledo et al. (2017) observed that feeding RPM increased embryo diameter and volume in multiparous Holstein cows. Despite the higher IT for CG, the values observed for these animals may not be enough to negatively impact pregnancy rates. Other factors that may explain the lack of pregnancy rate differences between treatments was the high number of cows with low BCS on d0 of the FTAI protocol, in which more than 35% of the cows had BCS ≤ 2.5. Pfeifer et al. (2017) mentioned that cows with moderate to good BCS (2.75 ≤ BCS ≤ 4.25) tend to be more fertile than those outside this interval. In addition, D'Occhio et al. (2019) verified that, compared with cows with 3.0–3.5 BCS, those with 2.0–2.5 BCS have lower insulin and glucose blood levels, which directly impact cow reproduction.

The 30-min average IT demonstrates the dynamics of the body temperature during the day, and if it exceeds or does not reach the physiological threshold, while evaluating the percentage of IT above this threshold (39.3°C; Du Preez, 2000) indicates that more animals had HS readings during the hottest hours of the day. From 14:00 to 18:30 h, CG had at least 16% more readings above physiological parameters than MG (Figure 2). The percentage of cows with IT above 39.3°C (Table 3) was calculated based on the animals that had at least one reading on this range each day. The differences observed in the daily percentage of animals and the hourly percentage of IT above 39.3°C is a consequence that animals in the same group may increase or decrease their body temperature earlier or later than the others due to different mechanisms to regulate body temperature, such as individual behavior, metabolism or environment (Gaughan et al., 2010.; Slimen et al., 2015). In the current study, these two measurements allowed to understand that MG cows had a reduction in hours of the day and animals exposed to not physiological IT, compared with CG.

When a group has lower IT in moderate and high THI but not in low THI, it demonstrates that this group has different mechanisms to control body temperature than the other. In the present study, MG cows had lower IT in moderate and high THI compared with CG, with the average IT not exceeding the physiological threshold in any category (Mateescu et al., 2020), while in the CG group the average IT exceeded it when exposed to high THI. These outcomes demonstrate that RPM effectively played an important role on thermoregulation during the hottest hours of the day. The mechanism that the methionine helps thermoregulation still need to be elucidated, however, it is possible that the amino acids play a crucial role in the angiogenesis process (Oberkersch & Santoro, 2019), and the supplementation with methionine was able to help maintain homeostasis in heat stressed chickens (Lee et al., 2021), making the vasodilatation likely a mechanism for methionine to help the thermoregulation process.

B. indicus animals are more resistant to hot and humid environments due to a series of adaptations that occurred during the evolution from B. taurus. Cellular resistance to elevated temperatures and physiological and phenotype changes are some of the features that B. indicus cattle acquired to improve thermotolerance (Hansen, 2004; Mateescu et al., 2020). Despite this better adaptability, MG cows had reduced IT compared with CG cows. This reduction was previously determined by Dominguez et al. (2020) in Brangus heifers fed 4-g RPM. This reduction in IT may be explained by methionine regulation of thermogenin (UCP-1), which was found in a study in broiler (Del Vesco et al., 2014). UCP-1 is a thermogenic protein whose expression increased in rats fed a methionine-restricted diet. Also, the rats showed higher body temperatures than those not submitted to methionine restriction (Hasek et al., 2010). Heat-stressed animals have an increase in oxidative stress by increasing the amount of reactive oxygen species and reducing the number of antioxidant enzymes (Abdelnour et al., 2019; Slimen et al., 2015). Alfaro et al. (2020) found that RPM pretransportation could reduce the transport stress of beef cattle by reducing oxidative stress. Also, the supplementation of methionine on another species found the same increase in antioxidant response by the methionine supplementation (Del Vesco et al., 2015).

Shade is an important tool to mitigate HS effects and different shade types affect cattle internal body temperature (Oliveira et al., 2019). Shade influences physiological parameters, such as body core temperature and respiration rate of animals exposed to THI values ≥78 (Brown-Brandl et al., 2005). Although treetop area was not statistically different among paddocks, it was numerically larger in CG on blocks 1 and 2, and MG on block 3 compared with MG on blocks 1 and 2, and CG on block 3, respectively, which may have reduced the heat challenge on those cows. Despite that, the measured treetop area was bigger than the minimum recommended for grazing cattle in all the paddocks. Armstrong (1994) determined that at least 5.6 m2/cow for animals reared in hot and wet environments, while Van Laer et al. (2014) recommended 3.28 m2 of lying space in the shade for 700 kg beef cows. Also, the use of shade is more effective in mitigating HS in environments with high temperature and low humidity than when both temperature and humidity are high (Renaudeau et al., 2011), such as the conditions of our experiment.

In conclusion, 3 g of RPM supplementation effectively lowered internal body temperature and possibly altered the critical THI threshold in heat-stressed Nelore cows. Therefore, RPM effectively modulated body thermoregulation, even though its impact on reproductive outcomes in hot and humid environments appears limited.

ACKNOWLEDGMENTS

The authors would like to thank Universidade Federal de Pelotas (UFPel), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) – Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), and Fundação de Amparo a Pesquisa do Estado do Rio Grande do Sul (FAPERGS) for financial support. C.C. Brauner and M. N. Corrêa were supported by a fellowship from CNPq. Appreciation is also extended to Fazenda Librina, which provided animals and farm facilities and Adisseo Brasil.

    CONFLICT OF INTEREST STATEMENT

    The authors declare no conflict of Interests for this article.

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