Noninfectious Causes of Late Embryonic/Early Fetal Losses: Comparison
Please note this is a comparison between Version 2 by Lindsay Dong and Version 1 by Szelényi Zoltán.

Pregnancy loss at any developmental stage affects the reproductive efficiency of cattle both at the individual and herd levels. In dairy cows, negative effects on milk production along with the increased antibiotic usage associated with pregnancy loss can have dramatic consequences on herd economy. Pregnancy loss during late embryonic and early fetal development can affect up to 20% of animals within a dairy cattle herd, so regular screening and pregnancy maintenance protocols are mandatory as it is important to identify animals at risk of losing their pregnancy after its diagnosis.

  • cattle
  • pregnancy loss
  • prediction
  • noninfectious
  • stress

1. Introduction

Dairy cattle show a higher incidence of pregnancy loss than other domesticated ruminant species, and these losses occur mostly at the late embryonic and early fetal stages of gestation. This timing affects the method of pregnancy diagnosis [1], such that after an initial diagnosis of pregnancy, its confirmation is required for acceptable farm-level clinical results. The embryonic developmental part of gestation ends on day 42 of pregnancy (Figure 1) [2]. From this point, fetal development ensues.
Figure 1.
Developmental stages of bovine pregnancy and definitions of pregnancy losses.
In a dairy cow, pregnancy can be first diagnosed only in the late embryonic stage of pregnancy approximately on gestation days 22–24. In practical terms, the recommended earliest pregnancy diagnosis time is on days 28–32 [3]. Hereafter, the general rate of losses under clinical circumstances ranges from 5% to 20% until day 60 of pregnancy [3], and thereafter, losses range from 1% to 5% [3]. Nevertheless, stillbirths can dramatically contribute to reproductive losses [4]. Risk factors for pregnancy losses are broadly classified into infectious and noninfectious.
Because of the abovementioned risk of losing a successful pregnancy after a positive pregnancy diagnosis, there is a need to distinguish between dams showing a higher risk of late embryonic (days 30–42) and of early fetal (days 42–60) loss. In addition, it needs to be considered that more pregnancy losses occur in the late embryonic period. The factors responsible for pregnancy loss differ according to the developmental stage of gestation, late embryonic or early fetal. In clinical practice, there is no standard procedure available for the termination of these high-risk pregnancies as part of the management strategy.

2. Noninfectious Causes of Late Embryonic/Early Fetal Losses

2.1. Dam-Related Risk Factors

2.1.1. Declining Pregnancy Protein Concentrations

Reduced concentrations of placental lactogens in maternal blood have been identified as a marker of subsequent pregnancy loss [8,9][5][6]. However, in a clinical setting, the diagnostic potential of this marker is limited. Maternal blood concentrations of pregnancy proteins, arising from the fetoplacental unit, are elevated and measurable from days 22 to 25 of pregnancy [10][7]. Pregnancy-associated glycoproteins (PAGs) can be differentiated into two phylogenetic subgroups: PAG-2, mainly localized at the fetal–maternal border, and PAG-1, originating from trophoblast cells [11,12,13,14][8][9][10][11]. The accuracy of the measurement method should also be considered when performing a clinical diagnosis and analyzing data, as results will affect decision making at the time of the initial pregnancy diagnosis. Both early RIA [17][12] and ELISA tests [18,19,20,21][13][14][15][16] serve to accurately determine maternal blood concentrations of PAGs and pregnancy-specific protein B (PSPB). These tests are available in laboratories and as on-farm tests and can be used on biological fluids (whole blood, serum, plasma, and milk). Their overall sensitivity is 90% to 99%, whereas cow-side tests offer good results but of lower accuracy [22,23][17][18].  Fetal viability can be monitored through pregnancy proteins [24][19] as a drop in the level of these proteins occurs immediately after the death of the conceptus. PSPB and bovine PAGs have different half-lives [25,26][20][21]. Thus, a biological delay exists from the loss of the embryo/fetus and the decrease produced. In addition, differences have been detected between animals undergoing pregnancy loss and those not, and some studies have defined cut off values [15][22]. PSPB was recently monitored in more than 7000 early pregnancies [27][23]. The primary goal of this last study was to predict and identify factors detectable in cows carrying twins to determine the likelihood of twinning based on measured concentrations. Although plasma PSPB levels could not distinguish between cows carrying twins and singletons (2.1 vs. 2.9 ng/mL), mortality was higher in the case of singletons, yet the authors provided no explanation for the differences. In another recent study conducted in the US, plasma P4 concentrations differed in the case of unilateral twins, yet plasma PAG concentrations did not [28][24]

2.1.2. Twin Pregnancy Diagnosis

An initial diagnosis of a twin pregnancy indicates an increased risk of pregnancy loss [4]. An incidence of twinning among all pregnancies in dairy animals as high as 20% has been reported [5][25]. However, twinning rates at the time of early pregnancy diagnosis range from 5% to 12% [1], and pregnancy losses thereafter vary widely. According to recent reports, twin laterality can affect the pregnancy loss rate. Hence, a higher mortality rate has been detected for unilateral than bilateral twins (54.4% vs. 45.6%, p < 0.0001) [31][26], and this factor has been therefore defined as a clinically important noninfectious cause of pregnancy loss [31,32,33][26][27][28]. In bilateral twin pregnancies, when one embryo is located at the end of the uterine horn and the other occurs in the other horn but close to the bifurcation, the contents of the allantoic sac often extend into the contralateral uterine horn [33][28]. These cases should be assessed for loss risk as sometimes embryo reduction can be the solution to maintain the pregnancy [5][25].

2.1.3. Number of Corpora Lutea

The number of corpora lutea present and their ultrasonographic structure are also important factors affecting pregnancy maintenance. Nonlactating non-pregnant dairy cows have smaller corpora lutea and higher peripheral blood progesterone concentrations than lactating animals [34,35][29][30]. Corpora lutea larger than 17 mm in diameter, as determined by TRUS, are considered mature [36][31]. In around 10% of all pregnancies, cows carrying singletons show an additional corpus luteum [27][23]. At the time of pregnancy diagnosis, 99% of singleton pregnant animals have one corpus luteum ipsilateral to the gravid uterine horn [4]. However, the transuterine migration of embryos has been confirmed and low numbers of contralateral corpora lutea detected in singleton pregnancies can be explained by migration of the oocyte [37][32].

2.1.4. Ultrasonographic Findings Indicating Imminent Pregnancy Loss

Through TRUS, it has been shown that the integrity and functions of embryonic/fetal particles and vesicles are crucial for conceptus viability. However, placentomes are also detectable during fetal development. From the onset of fetal development (day 43), both the amniotic and allantoic fluids are visible and distinguishable. Alterations such as reduced placental fluid volumes, increased amniotic fluid turbidity, and improper structure of the allantoic membranes are features observed during the TRUS examination of the ongoing process of pregnancy loss. Today, TRUS can be used as a real-time diagnostic method during the initial pregnancy examination [48][33]. When an embryonic/fetal heartbeat is lacking, a pregnancy loss diagnosis protocol should be implemented [24,31][19][26]. An embryonic/fetal heartbeat can also be detected by means of Doppler ultrasonography [42,49][34][35].

2.1.5. Metabolic State at the Time of Pregnancy Diagnosis

Further clinically relevant factors associated with pregnancy loss are dam-related and include milk production, body condition score (BCS), and parity. A proper balance of carbohydrate intake is essential to maintain gestation and avoid pregnancy loss. While blood glucose levels are not adequate predictors of the fate of a pregnancy, some metabolic parameters such as excessive ketone body formation and increased blood urea nitrogen may suggest a threat to pregnancy. Further, several studies have shown that the pregnancy loss rate increases with number of parities or age [52,53,54][36][37][38]. Remarkably, higher pregnancy loss rates were observed in the third and fourth parities of Simmental cows compared to those of heifers, primiparous cows, and cows in their second lactation [55][39]. In contrast, Fernandez-Novo et al. [56][40] detected no effect of parity on conceptus mortality rates, reporting a 15% pregnancy loss rate in multiparous cows. However, losses as low as 3%–5% have been reported in primigravid animals [55,57,58][39][41][42].

2.2. Environment-Related Factors

Early pregnancy can be compromised when cattle are subjected to environmental stress [69][43]. Individual animals experience different effects, in response to the same amount of stress. Stress affects uterine health, oocyte quality, ovarian function, and the developmental capacity of the conceptus [70][44]. Pregnancy loss in the early embryonic stage is more common than in the late embryonic or early fetal stages, and the loss of embryos younger than 16 days can be indicated by a return to estrus. This could be the reason for the relatively limited literature data regarding the role played by stress in early embryonic mortality in dairy cattle. Although stress can be accurately measured via physiological and behavioral indicators in dairy cattle [71][45], addressing this issue is challenging in the context of a multifactorial phenomenon such as pregnancy loss. The numerous factors that lead to stress-induced pregnancy loss in individual animals can be classified in several ways. Nutritional stressors (quantitative and qualitative, animal welfare and climate effects both cold and warm) are classified as external stress factors while internal stressors include clinical disease, endocrine imbalance, and physical trauma (mechanical shock). The clinical impacts of stress on the reproductive system are mediated by some of the abovementioned factors. Among these factors, body temperature elevation (heat stress), metabolic hormones (stress related to mammary gland milk production and nutritional factors), and/or the activation of the hypothalamus–pituitary–adrenal (HPA) axis are important [72][46]. Activity of the HPA axis can be increased by several stressors. Examples of these stressors are new milking machines or housing conditions, negative interactions with herd mates, aversive human handling, or restraining. However, the effects of restraining, limited access to resources, and social stressors on late embryonic and early fetal development in dairy cattle are not as well understood. Environmental temperature has a clinically obvious effect on reproductive outcomes both in herds and individual animals. In a recent study by García-Ispierto et al. [78][47], a strong link was observed between pregnancy loss and heat stress. The likelihood of late embryonic mortality was increased by a factor of 1.05 for each additional unit of mean maximum temperature–humidity index increase recorded between days 21 and 30 of gestation. This increased index is probably also responsible for the loss of a unilateral twin pregnancy [32][27], which often occurs from days 60 to 90 [3]. The mean maximum temperature–humidity index has also been associated with higher ambient temperatures by other authors [31][26]. Transporting animals can also cause a high level of stress that could result in late embryonic/early fetal death. Based on the limited data available, it seems that the risk of mortality is higher in cows carrying later-stage embryos or early-stage fetuses compared to early embryos (less than 16 days of pregnancy). 

3. Conclusions

Several internal factors such as body condition or milk production serve to explain stress-mediated pregnancy loss in the individual animal. In the context of animal production, other effects may influence the success of pregnancy. Hence, the final clinical outcome can be predicted as the balanced consequence of these factors. This highlights the need for accurate diagnoses of pregnancy and of pregnancy loss. Pregnancy loss assessment commences in the initial pregnancy diagnosis exam and should consider all possible factors that could negatively affect the developing pregnancy and potentially result in its loss. The early identification of animals with a higher risk of losing their pregnancy offers economic benefits. This can be performed as early as in the initial pregnancy diagnosis. Avoiding negative consequences will also lead to improved herd profitability and reduced antibiotic usage. The different pregnancy determination methods currently available have different advantages in predicting pregnancy losses. Transrectal ultrasonography has the benefit of real-time observation of the viable embryo.
 

References

  1. Szelényi, Z.; Szenci, O.; Kovács, L.; Garcia-Ispierto, I. Practical Aspects of Twin Pregnancy Diagnosis in cattle. Animals 2021, 11, 1061.
  2. Hubbert, W.T. Recommendations for standardizing bovine reproductive terms by committee on bovine reproductive nomenclature. Cornell Vet. 1972, 62, 216–237.
  3. Wiltbank, M.C.; Baez, G.M.; Garcia-Guerra, A.; Toledo, M.Z.; Monteiro, P.L.J.; Melo, L.F.; Ochoa, J.C.; Santos, J.E.P.; Sartori, R. Pivotal Periods for Pregnancy Loss during the First Trimester of Gestation in Lactating Dairy Cows. Theriogenology 2016, 86, 239–253.
  4. Szelényi, Z.; Győri, D.; Boldizsár, S.; Kovács, L.; Répási, A.; Molnár, L.; Szenci, O. Pregnancy and Stillbirth Losses in Dairy Cows with Singleton and Twin Pregnancies. Acta Vet. Hung. 2019, 67, 115–126.
  5. Albaaj, A.; Durocher, J.; LeBlanc, S.J.; Dufour, S. Meta-Analysis of the Incidence of Pregnancy Losses in Dairy Cows at Different Stages to 90 Days of Gestation. JDS Commun. 2023, 4, 144–148.
  6. Reese, S.T.; Geary, T.W.; Franco, G.A.; Moraes, J.G.N.; Spencer, T.E.; Pohler, K.G. Pregnancy Associated Glycoproteins (PAGs) and Pregnancy Loss in High vs Sub Fertility Heifers. Theriogenology 2019, 135, 7–12.
  7. Giordano, J.O.; Guenther, J.N.; Lopes, G., Jr.; Fricke, P.M. Changes in serum pregnancy-associated glycoprotein, pregnancy-specific protein B, and progesterone concentrations before and after induction of pregnancy loss in lactating dairy cows. J. Dairy Sci. 2012, 95, 683–697.
  8. Xie, S.C.; Low, B.G.; Nagel, R.J.; Kramer, K.K.; Anthony, R.V.; Zoli, A.P.; Beckers, J.F.; Roberts, R.M. Identification of the major pregnancy-specific antigens of cattle and sheep as inactive members of the aspartic proteinase family. Proc. Natl. Acad. Sci. USA 1991, 88, 10247–10251.
  9. Wooding, F.; Morgan, G.; Monaghan, S.; Hamon, M.; Heap, R. Functional specialization in the ruminant placenta: Evidence for two populations of fetal binucleate cells of different selective synthetic capacity. Placenta 1996, 17, 75–86.
  10. Wooding, F.B.; Morgan, G.; Adam, C.L. Structure and function in the ruminant synepitheliochorial placenta: Central role of the trophoblast binucleate cell in deer. Microsc. Res. Tech. 1997, 38, 88–99.
  11. García-Ispierto, I.; Almería, S.; Serrano, B.; de Sousa, N.; Beckers, J.; López-Gatius, F. Plasma Concentrations of Pregnancy-Associated Glycoproteins Measured Using Anti-Bovine PAG-2 Antibodies on Day 120 of Gestation Predict Abortion in Dairy Cows Naturally Infected with Neospora caninum. Reprod. Domest. Anim. 2013, 48, 613–618.
  12. Pagnah Zoli, A.; Beckers, J.-F.; Wouters-Ballman, P.; Closset, J.; Falmagne, P.; Ectors, F. Purification and Characterization of a Bovine Pregnancy-Associated Glycoprotein1. Biol. Reprod. 1991, 45, 1–10.
  13. Butler, J.E.; Hamilton, W.C.; Sasser, R.G.; Ruder, C.A.; Hass, G.M.; Williams, R.J. Detection and Partial Characterization of Two Bovine Pregnancy-Specific Proteins12. Biol. Reprod. 1982, 26, 925–933.
  14. Drion, P.V.; Zarrouk, A.; Sulon, J.; Szenci, O.; Beckers, J.F.; Perényi, Z.; Remy, B.; Garbayo, J.M. Pregnancy Associated Glycoproteins in Ruminants: Inactive Members Of The Aspartic Proteinase Family. Acta Vet. Hung. 1999, 47, 461–469.
  15. Green, J.A.; Parks, T.E.; Avalle, M.P.; Telugu, B.P.; McLain, A.L.; Peterson, A.J.; McMillan, W.; Mathialagan, N.; Hook, R.R.; Xie, S.; et al. The Establishment of an ELISA for the Detection of Pregnancy-Associated Glycoproteins (PAGs) in the Serum of Pregnant Cows and Heifers. Theriogenology 2005, 63, 1481–1503.
  16. Gábor, G.; Kastelic, J.; Abonyi-Tóth, Z.; Gábor, P.; Endrődi, T.; Balogh, O. Pregnancy Loss in Dairy Cattle: Relationship of Ultrasound, Blood Pregnancy-Specific Protein B, Progesterone and Production Variables. Reprod. Domest. Anim. 2016, 51, 467–473.
  17. Mayo, L.M.; Moore, S.G.; Poock, S.E.; Silvia, W.J.; Lucy, M.C. Technical Note: Validation of a Chemical Pregnancy Test in Dairy Cows That Uses Whole Blood, Shortened Incubation Times, and Visual Readout. J. Dairy Sci. 2016, 99, 7634–7641.
  18. Fosgate, G.T.; Motimele, B.; Ganswindt, A.; Irons, P.C. A Bayesian Latent Class Model to Estimate the Accuracy of Pregnancy Diagnosis by Transrectal Ultrasonography and Laboratory Detection of Pregnancy-Associated Glycoproteins in Dairy Cows. Prev. Vet. Med. 2017, 145, 100–109.
  19. Szenci, O. Recent Possibilities for the Diagnosis of Early Pregnancy and Embryonic Mortality in Dairy Cows. Animals 2021, 11, 1666.
  20. Kiracofe, G.H.; Wright, J.M.; Schalles, R.R.; Ruder, C.A.; Parish, S.; Sasser, R.G. Pregnancy-Specific Protein B in Serum of Postpartum Beef Cows. J. Anim. Sci. 1993, 71, 2199–2205.
  21. Szenci, O.; Beckers, J.F.; Sulon, J.; Bevers, M.M.; Börzsönyi, L.; Fodor, L.; Kovács, F.; Taverne, M.A.M. Effect of Induction of Late Embryonic Mortality on Plasma Profiles of Pregnancy Associated Glycoprotein 1 in Heifers. Vet. J. 2003, 165, 307–313.
  22. Pohler, K.G.; Pereira, M.H.C.; Lopes, F.R.; Lawrence, J.C.; Keisler, D.H.; Smith, M.F.; Vasconcelos, J.L.M.; Green, J.A. Circulating Concentrations of Bovine Pregnancy-Associated Glycoproteins and Late Embryonic Mortality in Lactating Dairy Herds. J. Dairy Sci. 2016, 99, 1584–1594.
  23. Szelényi, Z.; Balogh, O.G.; Lopez-Gatius, F.; Garcia-Ispierto, I.; Krikó, E.; Gábor, G. Is Twin Pregnancy, Calving and Pregnancy Loss Predictable by Serum Pregnancy-Specific Protein b (Pspb) Concentration 28–35 Days after Ai in Dairy Cows? Acta Vet. Hung. 2018, 66, 451–461.
  24. Peixoto, P.M.; Hubner, A.M.; Junior, W.; Cunha, L.L.; Garrett, E.F.; Pohler, K.G.; Dias, N.W.; Mercadante, V.; Canisso, I.F.; Lima, F.S. Characterization of pregnancy-associated glycoproteins and progesterone as a predictor of twins and conceptus loss in high-risk-pregnancy Holstein cows. J. Dairy Sci. 2021, 104, 5034–5046.
  25. Andreu-Vázquez, C.; Garcia-Ispierto, I.; López-Béjar, M.; de Sousa, N.M.; Beckers, J.F.; López-Gatius, F. Clinical Implications of Induced Twin Reduction in Dairy Cattle. Theriogenology 2011, 76, 512–521.
  26. López-Gatius, F.; García-Ispierto, I. Ultrasound and Endocrine Findings That Help to Assess the Risk of Late Embryo/Early Foetal Loss by Non-Infectious Cause in Dairy Cattle: Ultrasound for Early Pregnancy Loss in Cattle. Reprod. Domest. Anim. 2010, 45, 15–24.
  27. López-Gatius, F.; Andreu-Vázquez, C.; Mur-Novales, R.; Cabrera, V.E.; Hunter, R.H.F. The Dilemma of Twin Pregnancies in Dairy Cattle. A Review of Practical Prospects. Livest. Sci. 2017, 197, 12–16.
  28. López-Gatius, F.; Garcia-Ispierto, I.; Hunter, R.H.F. Twin Pregnancies in Dairy Cattle: Observations in a Large Herd of Holstein-Friesian Dairy Cows. Animals 2020, 10, 2165.
  29. Assey, R.J.; Purwantara, B.; Greve, T.; Hyttel, P.; Schmidt, M.H. Corpus Luteum Size and Plasma Progesterone Levels in Cattle after Cloprostenol-Induced Luteolysis. Theriogenology 1993, 39, 1321–1330.
  30. Wiltbank, M.C.; Souza, A.H.; Giordano, J.O.; Nascimento, A.B.; Vasconcelos, J.M.; Pereira, M.H.C.; Surjus, R.S.; Zinsly, F.C.S.; Carvalho, P.D.; Bender, R.W.; et al. Positive and Negative Effects of Progesterone during Timed AI Protocols in Lactating Dairy Cattle. Anim. Reprod. 2012, 11, 231–241.
  31. Repasi, A.; Beckers, J.; Sulon, J.; Karen, A.; Reiczigel, J.; Szenci, O. Effect of the Type and Number of Prostaglandin Treatments on Corpus Luteum, the Largest Follicle and Progesterone Concentration in Dairy Cows. Reprod. Domest. Anim. 2005, 40, 436–442.
  32. McMillan, W.H.; Peterson, A.J. Transuterine Embryo Migration in Recipient Cattle. Theriogenology 1999, 51, 1577–1586.
  33. Pierson, R.A.; Ginther, O.J. Ultrasonography for Detection of Pregnancy and Study of Embryonic Development in Heifers. Theriogenology 1984, 22, 225–233.
  34. Kelley, D.E.; Galvão, K.N.; Mortensen, C.J.; Risco, C.A.; Ealy, A.D. Using Doppler Ultrasonography on Day 34 of Pregnancy to Predict Pregnancy Loss in Lactating Dairy Cattle. J. Dairy Sci. 2017, 100, 3266–3271.
  35. Breukelman, S.; Mulder, E.J.H.; van Oord, R.; Jonker, H.; van der Weijden, B.C.; Taverne, M.A.M. Continuous Fetal Heart Rate Monitoring during Late Gestation in Cattle by Means of Doppler Ultrasonography: Reference Values Obtained by Computer-Assisted Analysis. Theriogenology 2006, 65, 486–498.
  36. Labèrnia, J.; López-Gatius, F.; Santolaria, P.; López-Béjar, M.; Rutllant, J. Influence of Management Factors on Pregnancy Attrition in Dairy Cattle. Theriogenology 1996, 45, 1247–1253.
  37. Grimard, B.; Freret, S.; Chevallier, A.; Pinto, A.; Ponsart, C.; Humblot, P. Genetic and Environmental Factors Influencing First Service Conception Rate and Late Embryonic/Foetal Mortality in Low Fertility Dairy Herds. Anim. Reprod. Sci. 2006, 91, 31–44.
  38. Lee, J.-I.; Kim, I.-H. Pregnancy Loss in Dairy Cows: The Contributing Factors, the Effects on Reproductive Performance and the Economic Impact. J. Vet. Sci. 2007, 8, 283.
  39. Zobel, R.; Tkalčić, S.; Pipal, I.; Buić, V. Incidence and Factors Associated with Early Pregnancy Losses in Simmental Dairy Cows. Anim. Reprod. Sci. 2011, 127, 121–125.
  40. Fernandez-Novo, A.; Fargas, O.; Loste, J.M.; Sebastian, F.; Perez-Villalobos, N.; Pesantez-Pacheco, J.L.; Patron-Collantes, R.; Astiz, S. Pregnancy Loss (28–110 Days of Pregnancy) in Holstein Cows: A Retrospective Study. Animals 2020, 10, 925.
  41. Santos, J.E.P.; Thatcher, W.W.; Chebel, R.C.; Cerri, R.L.A.; Galvão, K.N. The Effect of Embryonic Death Rates in Cattle on the Efficacy of Estrus Synchronization Programs. Anim. Reprod. Sci. 2004, 82–83, 513–535.
  42. Carvalho, P.D.; Souza, A.H.; Amundson, M.C.; Hackbart, K.S.; Fuenzalida, M.J.; Herlihy, M.M.; Ayres, H.; Dresch, A.R.; Vieira, L.M.; Guenther, J.N.; et al. Relationships between Fertility and Postpartum Changes in Body Condition and Body Weight in Lactating Dairy Cows. J. Dairy Sci. 2014, 97, 3666–3683.
  43. Hansen, P.J. Exploitation of genetic and physiological determinants of embryonic resistance to elevated temperature to improve embryonic survival in dairy cattle during heat stress. Theriogenology 2007, 68, S242–S249.
  44. Lucy, M.C. Stress, strain, and pregnancy outcome in postpartum cows. Anim. Reprod. 2019, 16, 455–464.
  45. Kovács, L.; Jurkovich, V.; Bakony, M.; Póti, P.; Szenci, O.; Tőzsér, J. Welfare assessment in dairy cattle by heart rate and heart rate variability—Literature review and implications for future research. Animal 2014, 8, 316–330.
  46. Hong, H.; Lee, E.; Lee, I.H.; Lee, S.-R. Effects of transport stress on physiological responses and milk production in lactating dairy cows. Asian-Austral J. Anim. Sci. 2019, 32, 442–451.
  47. García-Ispierto, I.; López-Gatius, F.; Santolaria, P.; Yániz, J.L.; Nogareda, C.; López-Béjar, M.; De Rensis, F. Relationship between heat stress during the peri-implantation period and early fetal loss in dairy cattle. Theriogenology 2006, 65, 799–807.
More
Video Production Service