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Mills MD, Pollock AB, Batey IE, O’Neil MA, Schrick FN, Payton RR, Moorey SE, Fioravanti P, Hipsher W, Zoca SM, Edwards JL. Magnitude and persistence of higher estrus-associated temperatures in beef heifers and suckled cows. J Anim Sci 2024; 102:skae079. [PMID: 38502838 PMCID: PMC10998462 DOI: 10.1093/jas/skae079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/18/2024] [Indexed: 03/21/2024] Open
Abstract
Higher estrus-associated temperatures (HEAT) are a hallmark feature in sexually active females. The overarching aim of this study was to characterize the variability, magnitude, and persistence of HEAT in heifers and suckled beef cows as well as identify associated factors when occurring during thermoneutral conditions at the onset of the spring breeding season. In both heifers and cows, estrus was induced using a 7-d controlled internal drug release (CIDR)-PGF2α protocol. Vaginal temperature after prostaglandin F2α administration was recorded every 5 min using a Thermochron iButton affixed to a blank CIDR (containing no progesterone). Estrus was defined as when a heifer first stood to be mounted or when a cow had an Estrotect patch score of 3 or 4. Level of HEAT varied among individual animals. When comparing common HEAT variables using a mixed model with date nested within a year, maximum HEAT (39.9 ± 0.1 and 40.0 ± 0.1 °C) and duration (15.5 ± 0.8 and 15.4 ± 0.7) were similar in heifers and cows, respectively. However, the magnitude and persistence of HEAT differed. Total area under the HEAT curve was 117.1 ± 13.5 and 158.7 ± 12.3 for heifers vs cows, respectively (P = 0.0571). Further, 42.9% of heifers and 49% of cows had maximum HEAT ≥ 40 °C which persisted up to 6.5 and 10 h, respectively. When ambient conditions were predominantly thermoneutral, temperature humidity index had minimal impact on HEAT (mixed model, repeated measures over time). Toward identifying associated factors with different aspects of HEAT using best fit hierarchical linear regression models, baseline vaginal temperature and baseline duration were the most highly associated independent variables. Follicle size, estradiol and progesterone levels, and other available animal-related variables (e.g., age, weight, hair coat score) explained only a small amount of variation in HEAT. In summary, level of HEAT varies in estrus females even under thermoneutral conditions. Because HEAT can persist for an extended time, direct effects on fertility important components are unavoidable. Whether HEAT is a good or bad component of the periovulatory microenvironment is the basis of ongoing and future studies.
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Affiliation(s)
- Megan D Mills
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
| | - Abigayle B Pollock
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
| | - Ian E Batey
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
| | - Michael A O’Neil
- Office of Innovative Technologies—Research Computing Support, The University of Tennessee, Knoxville, TN 37996, USA
| | - F Neal Schrick
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
| | - Rebecca R Payton
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
| | - Sarah E Moorey
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
| | - Pablo Fioravanti
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
| | - Will Hipsher
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
| | - Saulo M Zoca
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
| | - J Lannett Edwards
- Department of Animal Science, The University of Tennessee Institute of Agriculture and AgResearch, Knoxville, TN 37996, USA
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Phong V, Fujikawa T, Kawano K, Yanagawa Y, Katagiri S. Effects of prostaglandin F 2α treatment at follicular wave emergence on endometrial epidermal growth factor concentration on day 3 of the next estrous cycle and on fertility in dairy cows. Theriogenology 2023; 212:189-196. [PMID: 37748361 DOI: 10.1016/j.theriogenology.2023.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 09/16/2023] [Accepted: 09/18/2023] [Indexed: 09/27/2023]
Abstract
Inadequate exposure to estradiol (E2) and progesterone (P4) may be the main causes of altered endometrial epidermal growth factor (EGF) profile, leading to reduced fertility in dairy cows. We hypothesized that PGF2α administration at different timings of the estrous cycle and stages of follicular development could change the profile of steroid hormones between luteolysis and estrus. This results in reduction in the peak concentration of endometrial EGF on day 3 (day 0 = estrus) in the next estrous cycle. In study 1, lactating Holstein cows were treated with PGF2α either on days 12-14 (selection phase group, n = 20) or on days 16-17 (control group, n = 24) of the estrous cycle. Blood samples were obtained before PGF2α treatment, 24 and 48 h after treatment, and on the day of estrus and ovulation for E2 and P4 assays. Endometrial tissues were collected by biopsy on day 3 for EGF assays. The duration from PGF2α treatment to both estrus and ovulation was longer in the selection phase group than in the control group (P < 0.05). The time between estrus and ovulation was longer in the selection phase group (P < 0.05). E2 concentrations were higher in the control group on the day of estrus (P < 0.05). P4 concentrations were not different between the groups. Endometrial EGF concentrations were lower in the selection phase group than in the control group (P < 0.05). In study 2, lactating Holstein cows were treated with PGF2α either on day 12 (selection phase group, n = 76) or day 16 (control group, n = 80). They were subjected to artificial insemination (AI) at estrus, and those that failed to ovulate by 24h after the first AI were subjected to second AI. On day 3, endometrial EGF concentration was determined. At estrus and on days 3 and 7, blood was collected for E2 and P4 assay from 20 randomly selected cows in each group before PGF2α treatment. The cows in the selection phase group exhibited lower EGF concentration, proportion of cows with normal EGF profile, and conception rate than cows in the control group (P < 0.05). On the day of estrus, E2 concentrations tended to be lower in the selection phase group than in the control group (P = 0.08). P4 concentrations were not different between the groups. These findings suggest that low E2 concentrations at estrus and low P4 concentrations for a prolonged period due to premature termination of CL in the absence of a dominant follicle are potential causes of altered endometrial EGF profile in dairy cows.
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Affiliation(s)
- Vuongtuan Phong
- Laboratory of Theriogenology, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan
| | | | - Kohei Kawano
- Laboratory of Theriogenology, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan; Laboratory of Reproductive Physiology, Faculty of Environmental, Life, Natural Science and Technology, Okayama University, Okayama, 700-8530, Japan
| | - Yojiro Yanagawa
- Laboratory of Theriogenology, Department of Clinical Sciences, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan
| | - Seiji Katagiri
- Laboratory of Theriogenology, Department of Clinical Sciences, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan.
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Hajnal É, Kovács L, Vakulya G. Dairy Cattle Rumen Bolus Developments with Special Regard to the Applicable Artificial Intelligence (AI) Methods. SENSORS (BASEL, SWITZERLAND) 2022; 22:6812. [PMID: 36146158 PMCID: PMC9505622 DOI: 10.3390/s22186812] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/02/2022] [Accepted: 09/05/2022] [Indexed: 06/16/2023]
Abstract
It is a well-known worldwide trend to increase the number of animals on dairy farms and to reduce human labor costs. At the same time, there is a growing need to ensure economical animal husbandry and animal welfare. One way to resolve the two conflicting demands is to continuously monitor the animals. In this article, rumen bolus sensor techniques are reviewed, as they can provide lifelong monitoring due to their implementation. The applied sensory modalities are reviewed also using data transmission and data-processing techniques. During the processing of the literature, we have given priority to artificial intelligence methods, the application of which can represent a significant development in this field. Recommendations are also given regarding the applicable hardware and data analysis technologies. Data processing is executed on at least four levels from measurement to integrated analysis. We concluded that significant results can be achieved in this field only if the modern tools of computer science and intelligent data analysis are used at all levels.
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Affiliation(s)
- Éva Hajnal
- Alba Regia Technical Faculty, Óbuda University, 1034 Budapest, Hungary
| | - Levente Kovács
- Institute of Animal Sciences, Hungarian University of Agricultural and Life Sciences, 2100 Gödöllő, Hungary
| | - Gergely Vakulya
- Alba Regia Technical Faculty, Óbuda University, 1034 Budapest, Hungary
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Liles HL, Schneider LG, Pohler KG, Oliveira Filho RV, Neal Schrick F, Payton RR, Rhinehart JD, Thompson KW, McLean K, Edwards JL. Positive relationship of rectal temperature at fixed timed artificial insemination on pregnancy outcomes in beef cattle. J Anim Sci 2022; 100:6620791. [PMID: 35772756 DOI: 10.1093/jas/skac100] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 03/25/2022] [Indexed: 01/06/2023] Open
Abstract
The overarching aim was to examine the relationship of rectal temperature at fixed time artificial insemination (FTAI) on pregnancy outcomes in a typical breeding season with expected pregnancy rates approaching 50% using Bos indicus and Bos taurus cattle. This represents a continuum of steps to test the hypothesis that elevated body temperature at or around insemination is functionally important to maximize pregnancy outcomes. Rectal temperature of Bos indicus cattle at FTAI ranged from 37.0 to 40.9 °C; 60.6% were hyperthermic. Positive factors impacting pregnancy outcomes were rectal temperature at FTAI, body condition, and estrus patch scores. Rectal temperature at FTAI was positively associated with pregnancy outcomes (P < 0.0001); per each 1 °C increase pregnancy odds increased 1.9 times (95% CI: 1.4 to 2.6). Highest pregnancy outcomes occurred with rectal temperatures exceeding 40 °C (P = 0.0004). Rectal temperature before FTAI in Bos taurus cattle ranged from 37.8 to 41.8 °C; 43.3% were hyperthermic. Factors impacting pregnancy were rectal temperature at FTAI, estrus activity, parity, and ambient conditions on day of FTAI. Rectal temperature of Bos taurus cattle at FTAI was positively associated with pregnancy (P = 0.0286); odds increased 1.45 times (95% CI: 1.0 to 2.0) per each 1 °C increase. Highest pregnancy outcomes occurred with rectal temperatures at FTAI exceeding 40 °C (P = 0.057). Moreover, positive relationship of rectal temperature at FTAI to pregnancy persisted in estrual females (71.25% of total; P = 0.0408; OR 1.5; 95% CI: 1.0 to 2.2). Mindful that 1) elevated temperatures observed in Bos indicus and Bos taurus cattle directly promote meiotic resumption of the oocyte in vitro and that 2) in vivo hyperthermia alters intrafollicular components which others have shown to potentiate ovulation and promote meiotic resumption, it is biologically plausible that an acute elevation in body temperature at or around time of insemination is functionally important to maximize pregnancy outcomes.
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Affiliation(s)
- Hunter L Liles
- Department of Animal Science, Institute of Agriculture, University of Tennessee, Knoxville, TN 37996, USA
| | - Liesel G Schneider
- Department of Animal Science, Institute of Agriculture, University of Tennessee, Knoxville, TN 37996, USA
| | - Ky G Pohler
- Department of Animal Science, Pregnancy and Developmental Programming Area of Excellence, Texas A & M University, College Station, TX 77843, USA
| | - Ramiro V Oliveira Filho
- Department of Animal Science, Pregnancy and Developmental Programming Area of Excellence, Texas A & M University, College Station, TX 77843, USA
| | - F Neal Schrick
- Department of Animal Science, Institute of Agriculture, University of Tennessee, Knoxville, TN 37996, USA
| | - Rebecca R Payton
- Department of Animal Science, Institute of Agriculture, University of Tennessee, Knoxville, TN 37996, USA
| | - Justin D Rhinehart
- Department of Animal Science, Institute of Agriculture, University of Tennessee, Knoxville, TN 37996, USA
| | - Kevin W Thompson
- University of Tennessee Institute of Agriculture, Middle Tennessee Research and Education Center, Spring Hill, TN 37174, USA
| | - Kyle McLean
- Department of Animal Science, Institute of Agriculture, University of Tennessee, Knoxville, TN 37996, USA
| | - J Lannett Edwards
- Department of Animal Science, Institute of Agriculture, University of Tennessee, Knoxville, TN 37996, USA
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Estrus Prediction Models for Dairy Gyr Heifers. Animals (Basel) 2021; 11:ani11113103. [PMID: 34827835 PMCID: PMC8614477 DOI: 10.3390/ani11113103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Intraruminal devices are already being used to predict reproductive events in cattle. For this prediction, several models and approaches can be used. The aim of this study was to evaluate changes in rumen reticulum temperature (RRT) and activity (ACT) during estrus in Dairy Gyr heifers and to evaluate different models for estrus prediction. There was an increase in both RRT and ACT in the estrus period compared to the same period on the day before and the day after estrus. Among the mathematical models, Random Forest had the best performance. The present results suggest that RRT and ACT can contribute to the identification of estrus and be of value for improving the reproductive efficiency of Zebu herds in tropical regions. Abstract Technological devices are increasingly present in livestock activities, such as identifying the reproductive status of cows. For this, predictive models must be accurate and usable in the productive context. The aims of this study were to evaluate estrus-associated changes in reticulo-rumen temperature (RRT) and activity (ACT) in Dairy Gyr heifers provided by reticulo-rumen boluses and to test the ability of different models for estrus prediction. The RRT and ACT of 45 heifers submitted to estrus synchronization were recorded using reticulo-rumen boluses. The means of RRT and ACT at different time intervals were compared between the day before and the day of estrus manifestation. An analysis of variance of RRT and ACT was performed using mixed models. A second approach employed logistic regression, random forest, and linear discriminant analysis models using RRT, ACT, time of day, and the temperature-humidity index (THI) as predictors. There was an increase in RRT and ACT at estrus (p < 0.05) compared to the same period on the day before and on the day after estrus. The random forest model provided the best performance values with a sensitivity of 51.69% and specificity of 93.1%. The present results suggest that RRT and ACT contribute to the identification of estrus in Dairy Gyr heifers.
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Banuelos S, Stevenson JS. Transition cow metabolites and physical traits influence days to first postpartum ovulation in dairy cows. Theriogenology 2021; 173:133-143. [PMID: 34388624 DOI: 10.1016/j.theriogenology.2021.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/01/2021] [Accepted: 08/02/2021] [Indexed: 11/30/2022]
Abstract
Physical activities are associated with the health of transition dairy cows and pregnancy outcomes are positively related to early resumption of postpartum estrous cycles. The objective was to assess key metabolites and patterns of prepartum and postpartum physical activity as they relate to the onset of first postpartum ovulation in lactating dairy cows. Close-up dry Holstein cows (n = 82) and late gestation heifers (n = 78) were enrolled beginning 3 wk before expected calving date (Day 0). Cows were fit with Cow SensOor ear tags to assess transitional changes in eating, resting, rumination, high activity, and ear-surface temperatures. Rectal temperatures were assessed and blood samples were collected on Days 0, 3, 7, and 14 to measure concentrations of glucose, free fatty acids (FFA), β-hydroxybutyrate (BHB), calcium, and haptoglobin. Body condition scores (BCS) and body weights (BW) were measured weekly, and blood samples were collected weekly from Day 21 ± 3 through 70 ± 3 to quantify changes in progesterone to detect luteal function after ovulation. Cows first ovulating before median Day 33 were classified as early (n = 76), whereas those first ovulating after Day 33 were classified as late (n = 84). Early ovulating cows first ovulated earlier (P < 0.001) than the late ovulation cows (24.3 ± 1.2 d [range: 16-32 d] vs. 48.8 ± 1.2 d [range: 33-74 d]), respectively. Mean days to first ovulation excluded seven cows that failed to ovulate before insemination. Compared with late ovulating cows, early ovulating cows had lesser (P < 0.05) concentrations of FFA, BHB, and haptoglobin on Days 0, 3, 7, and 14 in addition to having lesser (P < 0.05) rectal temperatures and ear-surface temperatures. Ear-surface temperatures began to decrease 4 d before parturition and remained less (P < 0.05) after calving than cows that subsequently ovulated late. Early ovulating cows tended (P = 0.07) to spend more time eating, and less (P = 0.02) time resting and being active during the first 3 wk after calving, and lost less (P = 0.03) BW and BCS during the first 9 wk compared with late ovulating cows. Although no differences were detected in yields of milk or energy-corrected milk during the first 9 wk after calving, early compared with late ovulating cows produced more (P < 0.01) milk protein. We concluded that metabolic measures during the first 2 wk after calving, and physical and behavioral traits are associated with the onset of postpartum ovarian activity.
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Affiliation(s)
- S Banuelos
- Department of Animal Sciences and Industry, Kansas State University, Manhattan, 66506-0201, USA
| | - J S Stevenson
- Department of Animal Sciences and Industry, Kansas State University, Manhattan, 66506-0201, USA.
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