عملکرد تولیدمثلی بهتر گاوهای شیری هلشتاین با طول فاصله آنوجنیتال متوسط در تلقیح اول پس از زایش

نوع مقاله : مامایی و تولید مثل

نویسندگان

1 گروه مامایی و بیماری‌های تولیدمثل دام، دانشکده دامپزشکی، دانشگاه تهران، تهران، ایران

2 گروه فناوری تولیدمثل دام، پژوهشکده ملی مهندسی ژنتیک و زیست‌فناوری، تهران، ایران

چکیده

زمینه مطالعه: مطالعات پیشین مبین رابطه منفی فاصله آنوجنیتال با باروری در گاوها است، اما مکانیسم این رابطه معکوس به طور کامل مشخص نیست. در این رابطه، عفونت‌های رحمی پس از زایش و عوامل مخاطره مرتبط با این عفونت‌ها می‌توانند سبب کاهش باروری گاوها گردند، ولی هیچ پژوهشی تا به حال به بررسی ارتباط فاصله آنوجنیتال و مشکلات پس از زایش نپرداخته است.
هدف: مطالعه حاضر به منظور بررسی رابطه فاصله آنوجنیتال با عملکرد تولیدمثلی پس از زایش در گاوهای شیری به انجام رسید.
روش کار: فاصله آنوجنیتال گاوها (تعداد = 290) همزمان با اولین معاینه پس از زایش به میلی‌متر اندازه‌گیری شد. گاوها بر اساس طول فاصله آنوجنیتال به سه دسته شامل فاصله آنوجنیتال کوتاه (20% جمعیت گاوها دارای کمترین مقادیر)، فاصله آنوجنیتال متوسط (60% جمعیت گاوها دارای مقادیر متوسط) و فاصله آنوجنیتال بلند (20% جمعیت گاوها دارای بیشترین مقادیر) تقسیم-بندی شدند. به‌علاوه، داده‌های متغیرهای تولیدمثلی پس از زایش از پایگاه داده گله بازیابی شدند. داده‌ها با استفاده از نرم‌افزار SAS ویرایش شماره 4/9 آنالیز شدند.
نتایج: نرخ سخت‌زایی، دوقلوزایی و جفت‌ماندگی، متریت پس از زایش و آندومتریت بالینی، وزن تولد گوساله و فاصله زایش تا اولین تلقیح در میان دسته‌های مختلف فاصله آنوجنیتال متفاوت نبود (05/0 < P). اما، درصد موالید نر در گاوهای با فاصله آنوجنیتال کوتاه نسبت به گاوهای با فاصله آنوجنیتال متوسط و بلند کمتر بود (05/0 > P). علاوه بر این، نرخ باروری در تلقیح اول پس از زایش در گروه فاصله آنوجنیتال متوسط بالاتر از گروه‌های فاصله آنوجنیتال کوتاه و بلند بود (05/0 > P).
نتیجه‌گیری: در نتیجه، مطالعه حاضر بیانگر نرخ آبستنی در اولین تلقیح پس از زایش نامناسب در گاوهای دارای حداقل و حداکثر طول فاصله آنوجنیتال بود و نشان داد که این باروری کمتر از طریق تغییر در نرخ مشکلات تولیدمثلی پس از زایش حاصل نشده بود.

کلیدواژه‌ها


Introduction

 

Anogenital distance (AGD), which is defined as the distance between anus and clitoris in female individuals, is an anthropometric index reflecting the fetal exposure to androgens (Gore et al., 2015; Thankamony et al., 2016; 2016; Gobikrushanth et al., 2017; Akbarinejad et al., 2019). Hereby, AGD is suggested as an indicator for assessing the impact of endocrine disruptor chemicals on the ontogeny of reproductive organs in the male and female offspring (Gore et al., 2015; Thankamony et al., 2016; Gobikrushanth et al., 2017; Akbarinejad et al., 2019). More recently, Gobikrushanth et al., in 2017, characterized AGD in dairy cows and found that the length of AGD was adversely associated with the first service conception rate and the likelihood of pregnancy in dairy cows (Gobikrushanth et al., 2017). Furthermore, another study substantiated the inverse association of AGD length with fertility in dairy cows and reported that delayed first postpartum insemination, diminished first service conception rate, escalated proportion of repeat breeders, and prolonged calving to conception interval in dairy cows with long AGD as compared to those with short AGD (Akbarinejad et al., 2019). Yet the mechanisms underlying this negative association between the length of AGD and reproductive performance in bovine is not completely known (Gobikrushanth et al., 2017; Akbarinejad et al., 2019).

Postpartum uterine infections, including metritis and endometriosis, are considered as contributors to the suboptimal fertility in cows by delaying uterine involution, rendering the uterus susceptibility to chronic infections, and causing ovarian dysfunction (Sheldon et al., 2006; Williams et al. 2007; Giuliodori et al., 2013; Sheldon and Owens, 2017). Furthermore, various postpartum items have been indicated as risk factors for postpartum uterine infections, including twinning birth, dystocia, retained fetal membranes, excessive calf birth weight, and male offspring (Ghavi Hossein-Zadeh and Ardalan, 2011; Giuliodori et al., 2013). To the best of our knowledge, there is no data available on whether AGD is related to postpartum uterine infections and their corresponding risk factors.

Accordingly, this study was primarily designed to understand whether the reverse association of AGD with fertility in cows is attributable to different rates of postpartum reproductive complications among cows with various lengths of AGD. In addition, given that this study was carried out on Holstein dairy cows of different parities across various seasons, the effect of parity as well as the season was also investigated in the present research outcome.

Materials and Methods

Ethical statement and study design

The Animal Ethics Committee approved this study at the University of Tehran concerning animal welfare and ethics (6/6/30854). The study was carried out at a commercial farm in Tehran province from August 2018 to March 2019. The voluntary waiting period was 50 days in the herd and cows were subjected to insemination 12 hours after detection of standing heat. Estrus detection was performed thrice a day by visual observation for at least 30 minutes each time. All artificial inseminations were done by the same technician and insemination of the sexed semen was merely performed in heifers. The pregnancy of cows was routinely diagnosed 40 to 45 days after insemination using the rectal examination. The research plan of this study was to measure the AGD period at the first postpartum examination of cows in order to associate AGD with reproductive parameters in dairy cows and the sample size of the study was 290 dairy cows.

Assessment of AGD

AGD was measured at the first examination postpartum (days 28 to 32 postpartum) by determining the distance from anus center to clitoris base by a digital caliper in millimeter (Hangzhou Instar Precision Machinery Co., Zhejiang, China). In total, AGD of dairy cows (n = 290) with different parities [primiparous (n = 90) and multiparous (n = 200) cows] over various seasons [spring (n = 15), summer (n = 28), fall (n = 115) and winter (n = 128)] were collected. Considering data of AGD length, cows were partitioned into three categories including short AGD (20% of cows with lowest values; n = 58), intermediate AGD (60% of cows with moderate values; n = 174) and long AGD (20% of cows with highest values; n = 58).

Nomenclature of reproductive parameters

Data associated with dystocia, twinning, retained fetal membranes (RFM), calf birth weight, offspring gender, puerperal metritis, clinical endometritis, days to first service (DFS) and first service conception rate (FSCR) were retrieved from herd database using individual ID number of cows. Sex ratio of offspring was defined as the proportion of male offspring (Gharagozlou et al., 2016). Cows were considered dystocia when calf delivery could not proceed spontaneously and required assistance (Giuliodori et al., 2013; Sheldon and Owens, 2017). The cow was considered with retained fetal membranes when the fetal membranes were not expelled by 24 hours after the commencement of parturition (Giuliodori et al., 2013; Sheldon and Owens, 2017). Puerperal metritis was defined as fetid watery red-brown uterine discharge during the first week postpartum (Sheldon et al., 2006). Clinical endometritis was defined as mucopurulent or purulent vaginal discharge at the time of first postpartum examination (Sheldon et al., 2006; Sheldon and Owens, 2017). DFS was the interval from calving to the first service postpartum (Akbarinejad et al. 2019, 2020). FSCR was the percentage of cows determined pregnant following the first service postpartum (Akbarinejad et al. 2019, 2020).

Statistical analysis

Continuous data (i.e., calf birth weight) were analyzed using a generalized linear model (GLM) procedure. Binary data (i.e., rate of dystocia, twinning, RFM, puerperal metritis and clinical endometritis, the sex ratio of offspring, and FSCR) were analyzed using logistic regression by GENMOD procedure considering function link logit in the statistical model. Logistic regression analysis produced an adjusted odds ratio (AOR) as the level of difference among various groups. DFS as a time-to-event variable was analyzed using LIFETEST procedure and the hazard of the interval from calving to first service postpartum was analyzed using Cox regression by PHREG procedure. Cox regression analysis generated adjusted hazard ratio (AHR) as the conditional daily likelihood of the first service postpartum. AGD (short, intermediate and long AGD groups), parity (primiparous and multiparous cows) and season (spring, summer, fall and winter) were included as fixed effects in all statistical models. The LSMEANS statement was used to perform multiple comparisons. All analyses were conducted in SAS version 9.4 (SAS Institute Inc., Carry, NC, USA). Differences at P < 0.05 were considered statistically significant.

 

Results

AGD length in dairy cows

Mean ± standard error of the mean (SEM), median, minimum and maximum of AGD length were 126.02 ± 0.80 mm, 126.00 mm, 75.64 mm and 178.20 mm, respectively, in investigated cows (n = 290; Figure 1). Statistics of AGD length in short, intermediate and long AGD categories are presented in Table 1.

 

 

Figure 1. Histogram of frequency distribution regarding the length of AGD in Holstein dairy cows (n = 290).

 

Table 1. Reproductive parameters in dairy cows with short, intermediate and long anogenital distance (AGD). Data are presented as mean ± SEM or percentage. Values in parenthesis are actual numbers.

Parameter

Short AGD

(n = 58)

Intermediate AGD

(n = 174)

Long AGD

(n = 58)

Mean ± SEM of AGD (mm)

107.66 ± 1.10

125.78 ± 0.40

145.11 ± 1.15

Median (range) of AGD (mm)

110.23 (75.64-116.85)

126.00 (117.07-136.42)

141.77 (136.66-178.20)

Dystocia rate (%)

18.97 (11/58)

18.97 (33/174)

13.79 (8/58)

Twinning rate (%)

3.45 (2/58)

4.02 (7/174)

1.72 (1/58)

Rate of retained fetal membranes (%)

5.17 (3/58)

5.75 (10/174)

8.62 (5/58)

Sex ratio of offspring (%)

30.36 (17/56)a

47.31 (79/167)b

56.14 (32/57)b

Calf birth weight (kg)

37.50 ± 0.55

38.67 ± 0.38

39.93 ± 0.59

Rate of puerperal metritis (%)

5.17 (3/58)

2.30 (4/174)

10.34 (6/58)

Rate of clinical endometritis (%)

17.24 (10/58)

14.94 (26/174)

17.24 (10/58)

Days to first service (day)

60.98 ± 1.35

62.39 ± 0.73

59.83 ± 1.36

First service conception rate (%)

24.14 (14/58)a

45.98 (80/174)b

27.59 (16/58)a

a,b Values with different superscripts within rows differ (P<0.05).

 

 

Effect of AGD on reproductive parameters

Sex ratio of offspring was lower in short AGD group as compared with intermediate AGD group (AOR = 0.509; 95% CI = 0.261-0.990; P = 0.047) and long AGD (AOR = 0.418; 95% CI = 0.187-0.939; P = 0.035; Table 1). Furthermore, FSCR was higher in intermediate AGD group than short AGD (AOR = 2.526; 95% CI = 1.257-5.076; P = 0.009) and long AGD (AOR = 2.260; 95% CI = 1.159-4.407; P = 0.017) groups (Table 1). However, rate of dystocia, twinning, retained fetal membranes, calf birth weight, rate of puerperal metritis and clinical endometritis, hazard of first postpartum insemination and DFS did not differ among various AGD categories (P > 0.05; Table 1; Figure 2, A).

 

 

Table 2. Reproductive parameters in primiparous and multiparous dairy cows. Data are presented as mean ± SEM or percentage. Values in parenthesis are actual numbers.

Parameter

Primiparous

(n = 90)

Multiparous

(n = 200)

Dystocia rate (%)

22.22 (20/90)

16.00 (32/200)

Twinning rate (%)

2.22 (2/90)

4.00 (8/200)

Rate of retained fetal membranes (%)

3.33 (3/90)

7.50 (15/200)

Sex ratio of offspring (%)

30.68 (27/88)a

52.60 (101/192)b

Calf birth weight (kg)

37.42 ± 0.43a

39.26 ± 0.35b

Rate of puerperal metritis (%)

1.11 (1/90)

6.00 (12/200)

Rate of clinical endometritis (%)

13.33 (12/90)

17.00 (34/200)

Days to first service (day)

62.82 ± 1.19

61.05 ± 0.65

First service conception rate (%)

44.44 (40/90)

35.00 (70/200)

a,bValues with different superscripts within rows differ (P<0.05).

 

Figure 2. A) Time to first service postpartum in short (n = 58), intermediate (n = 174) and long (n = 58) AGD cows. B) Time to first postpartum insemination in primiparous (n = 90) and multiparous (n = 200) cows. C) Time to first postpartum insemination in cows during spring (n =15), summer (n = 28), fall (n = 115) and winter (n = 132).

Effect of parity on reproductive parameters

Calf birth weight was greater in multiparous than primiparous cows (P = 0.032; Table 2). In addition, sex ratio of offspring was higher in multiparous cows as compared with primiparous cows (AOR = 2.300; 95% CI = 1.323-3.997; P = 0.003; Table 2). However, the rate of dystocia, twinning, retained fetal membranes, puerperal metritis, clinical endometritis, the hazard of first postpartum insemination, DFS, and FSCR were not different between primiparous and multiparous cows (P > 0.05; Table 2; Figure 2, B).

Effect of season on reproductive parameters

Calf birth weight was greater in winter than summer and fall (P < 0.01; Table 3). Moreover, rate of clinical endometritis was higher during summer as compared with fall (AOR = 3.006; 95% CI = 1.133-7.972; P = 0.027) and winter (AOR = 2.637; 95% CI = 1.025-6.784; P = 0.044; Table 3). Further, the hazard of first postpartum insemination was higher during spring than summer (AHR = 2.850; 95% CI = 1.327-6.119; P = 0.007; Figure 2, C), which culminated in shorter DFS during spring than summer (P = 0.010; Table 3). Additionally, FSCR was lower during summer as compared with spring (AOR = 0.120; 95% CI = 0.020-0.718; P = 0.020), fall (AOR = 0.123; 95% CI = 0.027-0.551; P = 0.006) and winter (AOR = 0.097; 95% CI = 0.022-0.433; P = 0.002; Table 3). Yet rate of dystocia, twinning, retained fetal membranes, sex ratio of offspring and rate of puerperal metritis did not differ among various seasons (P > 0.05; Table 3).

 

 

Table 3. Reproductive parameters in dairy cows during spring, summer, fall and winter. Data are presented as mean ± SEM or percentage. Values in parenthesis are actual numbers.

Parameter

Spring

(n = 15)

Summer

(n = 28)

Fall

(n = 115)

Winter

(n = 132)

Dystocia rate (%)

6.67 (1/15)

10.71 (3/28)

17.39 (20/115)

21.21 (28/132)

Twinning rate (%)

6.67 (1/15)

0.00 (0/28)

4.35 (5/115)

3.03 (4/132)

Rate of retained fetal membranes (%)

6.67 (1/15)

0.00 (0/28)

3.48 (4/115)

9.85 (13/132)

Sex ratio of offspring (%)

28.57 (4/14)

46.43 (13/28)

45.45 (50/110)

47.66 (61/128)

Calf birth weight (kg)

39.20 ± 1.05ab

36.25 ± 1.07a

37.48 ± 0.41a

40.20 ± 0.40b

Rate of puerperal metritis (%)

0.00 (0/15)

0.00 (0/28)

4.35 (5/115)

6.06 (8/132)

Rate of clinical endometritis (%)

0.00 (0/15)ab

32.14 (9/28)a

13.91 (16/115)b

15.91 (21/132)b

Days to first service (day)

58.00 ± 0.96a

64.50 ± 2.88b

61.66 ± 0.93ab

61.33 ± 0.77ab

First service conception rate (%)

40.00 (6/15)a

7.14 (2/28)b

39.13 (45/115)a

43.18 (57/132)a

a,bValues with different superscripts within rows differ (P<0.05).

Discussion

 

The present study revealed that cows with intermediate length of AGD had a superior conception rate at the first postpartum insemination compared to the cows with short and long lengths of AGD; however, postpartum uterine infections and their contributing risk factors were not different among them AGD categories. These findings implicate that the effect of AGD on fertility was not mediated through alteration in the rate of postpartum complications. Previous studies merely reported suboptimal fertility of long AGD cows as compared to the short AGD cows since in those studies; dairy cows were simply classified in two quantiles (Gobikrushanth et al., 2017; Akbarinejad et al., 2019). In this context, the classification of cows into three AGD categories imparted this study the advantage to more accurately elucidate the association between AGD and reproductive competence in bovine. Given that prenatal exposure to the androgens is the main determinant of AGD length (Gore et al., 2015; Kita et al., 2016), it could be surmised that under-exposure, as well as over-exposure of fetus to the androgens, could lead to carry-over effects disrupting fertility of cows during adulthood, yet the corresponding underlying mechanisms remain to be unraveled by further studies.

Furthermore, the present study showed a positive association between maternal AGD and the sex ratio of calves. Likewise, the proportion of male offspring has been reported to be higher in dams with larger AGD in mice, rabbit and porcine (Drickamer et al., 1997; Bánszegi et al., 2010; Szenczi et al., 2013), and the association between the maternal AGD and the sex ratio of offspring has been attributed to the androgens (Edwards et al., 2016). In this regard, circulating and intra-follicular concentrations of testosterone have been positively associated with the sex ratio of offspring in bovine and non-bovine species (Grant and Irwin, 2005; Grant et al., 2008; Helle et al., 2008). Moreover, it has been suggested that this impact of testosterone is mediated through the interaction of androgens with their receptor (Gharagozlou et al., 2016). Nevertheless, although a positive correlation of AGD with circulating testosterone has been observed in humans (Mira-Escolano et al., 2014), the correlation between AGD and plasma testosterone was weak and insignificant in dairy cows (Gobikrushanth et al., 2017). However, it is worth noting that the variety in androgen synthesis among cows with different lengths of AGD might be at paracrine level, which appears to play a determining role in terms of offspring sex allocation (Grant and Irwin, 2005; Grant et al., 2008), and it is not manifested at an endocrine level.

Maternal parity also affected calves' sex ratio, and the proportion of female offspring was higher in primiparous than multiparous cows. Albeit the effect of parity on the sex ratio of calves has been previously reported (Hossein-Zadeh, 2012), the substantial greater proportion of female calves in primiparous cows in the current study might have resulted from the application of sexed semen in heifers in the herd rather than the effect of dam parity per se.

Moreover, it was observed that calves born to multiparous dams were heavier compared to the calves born to primiparous dams and this finding was in accord with the results of previous studies (Akbarinejad et al., 2018). This observation could implicate a dissimilar level of intrauterine nutrition between primiparous and multiparous dams since intrauterine nutrition is one of the main factors controlling the offspring's birth weight (Negrato and Gomes, 2013). To begin with, the parity-related variation in intrauterine nutrition could be attributed to differential nutritional partitioning between primiparous and multiparous cows since primiparous cows are still growing over the course of gestation and allocate part of their nutritional intake to their own development (Wathes et al., 2014). Alternatively, this phenomenon could have stemmed from the less developed uterine vasculature and placenta, supplying the fetus with oxygen and nutrients (Browne et al., 2015), in primiparous than multiparous animals (Klewitz et al., 2015; Van Eetvelde et al., 2016; Robles et al., 2018).

Season of calving influenced the offspring's birth weight. The calves born during summer and fall were lighter than calves born during winter. Given that heat stress is higher during warm seasons than cold seasons, the negative effect of summer and fall on the offspring birth weight could be attributed to indirect exposure of the fetus to heat stress during the late stages of gestation, which are the most critical timeframes in terms of fetal growth, and in turn, neonatal birth weight (Akbarinejad et al., 2017). In corroboration of this notion, a previous study has also indicated the adverse effects of maternal exposure to heat stress during the late pregnancy on the calf birth weight (Akbarinejad et al., 2017). Indeed, heat stress could diminish total placental and umbilical blood flow (Reynolds et al., 2006), compromise placental vascularization (Regnault et al., 2003; Reynolds et al., 2006), intensify placental resistance to oxygen, which would hinder transplacental oxygen diffusion and culminate in hypoxia (Regnault et al., 2003), and disrupt the transport of nutrients to fetus (Regnault et al., 2005). Besides, heat stress decreases maternal dry matter intake, aggravating fetal nutritional restriction (Wheelock et al., 2010; Gorniak et al., 2014; Conte et al., 2018).

In addition, the present study showed a higher rate of clinical endometritis during summer than fall and winter. By contrast, other studies investigating the prevalence of clinical endometritis across various seasons failed to detect any association between the season of calving and the occurrence of clinical endometritis (Lee et al., 2018). Regardless, the heat stress might have contributed to the effect of summer on the rate of clinical endometritis because heat stress could increase secretion of glucocorticoids, which suppress the immune system and predispose the animal to various diseases, including uterine infections (Bagath et al., 2019).

Eventually, it was observed that parturition in summer led to delayed first postpartum service and diminished first service conception rate, which is consistent with the results of previous studies (Emadi et al., 2014; Akbarinejad et al., 2017; Hansen, 2019). The negative impact of summer on fertility might have also originated from the heat stress given that heat stress postpones resumption of postpartum ovarian activity (Díaz et al., 2020), deteriorates heat detection rate (Emadi et al., 2014), impairs embryo development (Sakatani, 2017), decreases progesterone production, and abrogates endometrial function (Wolfenson et al., 2000).

Conclusion

In conclusion, the present study showed that cows with an intermediate length of AGD had a greater reproductive performance at the first postpartum insemination as compared to their counterparts with shorter and longer lengths of AGD. Also, the probability of male calf breeding was augmented as the length of AGD increased. Moreover, it was observed that the sex ratio of offspring and calf birth weight were lower in primiparous than multiparous cows. Further, it was revealed that calves born during summer and fall had lighter birth weight and cows calved during summer were afflicted with higher rate of clinical endometritis, delayed first postpartum insemination, and suboptimal first service conception rate.

Acknowledgments

This study was supported by the Faculty of Veterinary Medicine, University of Tehran (grant number #6/6/30854). We want to express our gratitude to the staff at the dairy farm for their kind assistance during the implementation of the current study.

Conflict of Interest

The authors have no conflict of interest to declare.

 

References

 
 
Akbarinejad, V., Gharagozlou, F., & Vojgani, M. (2017). Temporal effect of maternal heat stress during gestation on the fertility and anti-Müllerian hormone concentration of offspring in bovine. Theriogenology, 99, 69-78. [PMID] [DOI:10.1016/j.theriogenology.2017.05.018]
Akbarinejad, V., Gharagozlou, F., Vojgani, M., & Amirabadi, M. B. (2018). Nulliparous and primiparous cows produce less fertile female offspring with lesser concentration of anti-Müllerian hormone (AMH) as compared with multiparous cows. Animal Reproduction Science, 197, 222-230.      [DOI:10.1016/j.anireprosci.2018.08.032] [PMID]
Akbarinejad, V., Gharagozlou, F., Vojgani, M., & Ranji, A. (2020). Evidence for quadratic association between serum anti-Müllerian hormone (AMH) concentration and fertility in dairy cows. Animal Reproduction Science, 218, 106457. [DOI:10.1016/j.anireprosci.2020.106457.] [PMID]
Akbarinejad, V., Gharagozlou, F., Vojgani, M., Shourabi, E., & Makiabadi, M. J. M. (2019). Inferior fertility and higher concentrations of anti-Müllerian hormone in dairy cows with longer anogenital distance. Domestic Animal Endocrinology, 68, 47-53.       [DOI:10.1016/j.domaniend.2019.01.011] [PMID]
Bagath, M., Krishnan, G., Devaraj, C., Rashamol, V. P., Pragna, P., Lees, A. M., & Sejian, V. (2019). The impact of heat stress on the immune system in dairy cattle: A review. Research in Veterinary Science, 126, 94-102. [DOI:10.1016/j.rvsc.2019.08.011.] [PMID]
Bánszegi, O., Altbäcker, V., Dúcs, A., & Bilkó, Á. (2010). Testosterone treatment of pregnant rabbits affects sexual development of their daughters. Physiology & Behavior, 101(4), 422-427.  [DOI:10.1016/j.physbeh.2010.07.020.] [PMID]
Browne, V. A., Julian, C. G., Toledo-Jaldin, L., Cioffi-Ragan, D., Vargas, E., & Moore, L. G. (2015). Uterine artery blood flow, fetal hypoxia and fetal growth. Philosophical Transactions of the Royal Society B: Biological Sciences, 370(1663), 20140068.          [DOI:10.1098/rstb.2014.0068.] [PMID] [PMCID]
Conte, G., Ciampolini, R., Cassandro, M., Lasagna, E., Calamari, L., Bernabucci, U., & Abeni, F. (2018). Feeding and nutrition management of heat-stressed dairy ruminants. Italian Journal of Animal Science, 17(3), 604-620. [DOI:10. 1080/1828051X.2017.1404944.]
Díaz, R. F., Galina, C. S., Aranda, E. M., Aceves, L. A., Sánchez, J. G., & Pablos, J. L. (2020). Effect of temperature–humidity index on the onset of post-partum ovarian activity and reproductive behavior in Bos indicus cows. Animal Reproduction, 17. [PMID] [PMCID] [DOI:10.21451/1984-3143-AR2019-0074]
Drickamer, L. C., Arthur, R. D., & Rosenthal, T. L. (1997). Conception failure in swine: importance of the sex ratio of a female's birth litter and tests of other factors. Journal of Animal Science, 75(8), 2192-2196. [DOI:10.2527/1997.7582192x.] [PMID]
Edwards, A. M., Cameron, E. Z., & Wapstra, E. (2016). Are there physiological constraints on maternal ability to adjust sex ratios in mammals?. Journal of Zoology, 299(1), 1-9. [DOI:10.1111/jzo.12327.]
Emadi, S. R., Rezaei, A., Bolourchi, M., Hovareshti, P., & Akbarinejad, V. (2014). Administration of estradiol benzoate before insemination could skew secondary sex ratio toward males in Holstein dairy cows. Domestic Animal Endocrinology, 48, 110-118.  [DOI:10.1016/j.domaniend.2014.03.001.] [PMID]
Gharagozlou, F., Youssefi, R., Vojgani, M., Akbarinejad, V., & Rafiee, G. (2016). Androgen receptor blockade using flutamide skewed sex ratio of litters in mice. In Veterinary Research Forum (Vol. 7, No. 2, p. 169). Faculty of Veterinary Medicine, Urmia University, Urmia, Iran.
Hossein-Zadeh, N. G., & Ardalan, M. (2011). Cow-specific risk factors for retained placenta, metritis and clinical mastitis in Holstein cows. Veterinary Research Communications, 35(6), 345-354.            [DOI:10.1007/s11259-011-9479-5.] [PMID]
Giuliodori, M. J., Magnasco, R. P., Becu-Villalobos, D., Lacau-Mengido, I. M., Risco, C. A., & de la Sota, R. L. (2013). Metritis in dairy cows: Risk factors and reproductive performance. Journal of Dairy Science, 96(6), 3621-3631. [DOI:10.3168/jds.2012-5922.] [PMID]
Gobikrushanth, M., Bruinjé, T. C., Colazo, M. G., Butler, S. T., & Ambrose, D. J. (2017). Characterization of anogenital distance and its relationship to fertility in lactating Holstein cows. Journal of Dairy Science, 100(12), 9815-9823. [DOI:10.3168/jds.2017-13033.] [PMID]
Gore, A. C., Chappell, V. A., Fenton, S. E., Flaws, J. A., Nadal, A., Prins, G. S., ... & Zoeller, R. T. (2015). EDC-2: the Endocrine Society's second scientific statement on endocrine-disrupting chemicals. Endocrine Reviews, 36(6), E1-E150. [PMID] [PMCID] [DOI:10.1210/er.2015-1010.]
Gorniak, T., Meyer, U., Südekum, K. H., & Dänicke, S. (2014). Impact of mild heat stress on dry matter intake, milk yield and milk composition in mid-lactation Holstein dairy cows in a temperate climate. Archives of Animal Nutrition, 68(5), 358-369.    [DOI:10.1080/1745039X.2014.950451.] [PMID]
Grant, V. J., & Irwin, R. J. (2005). Follicular fluid steroid levels and subsequent sex of bovine embryos. Journal of Experimental Zoology Part A: Comparative Experimental Biology, 303(12), 1120-1125.    [DOI:10.1002/jez.a.233.] [PMID]
Grant, V. J., Irwin, R. J., Standley, N. T., Shelling, A. N., & Chamley, L. W. (2008). Sex of bovine embryos may be related to mothers' preovulatory follicular testosterone. Biology of Reproduction, 78(5), 812-815. [DOI:10.1095/biolreprod.107.066050.] [PMID]
Hansen, P. J. (2019). Reproductive physiology of the heat-stressed dairy cow: implications for fertility and assisted reproduction. Animal Reproduction, 16, 497-507. [DOI:10.21451/1984-3143-AR2019-0053] [PMID] [PMCID]
Helle, S., Laaksonen, T., Adamsson, A., Paranko, J., & Huitu, O. (2008). Female field voles with high testosterone and glucose levels produce male-biased litters. Animal Behaviour, 75(3), 1031-1039.    [DOI:10.1016/j.anbehav.2007.08.015.]
Hossein-Zadeh, N. G. (2012). Factors affecting secondary sex ratio in Iranian Holsteins. Theriogenology, 77(1), 214-219. [PMID] [DOI:10.1016/j.theriogenology.2011.07.040.]
Kita, D. H., Meyer, K. B., Venturelli, A. C., Adams, R., Machado, D. L., Morais, R. N., ... & Martino-Andrade, A. J. (2016). Manipulation of pre and postnatal androgen environments and anogenital distance in rats. Toxicology, 368, 152-161.                [DOI:10.1016/j.tox.2016.08.021.] [PMID]
Klewitz, J., Struebing, C., Rohn, K., Goergens, A., Martinsson, G., Orgies, F., ... & Sieme, H. (2015). Effects of age, parity, and pregnancy abnormalities on foal birth weight and uterine blood flow in the mare. Theriogenology, 83(4), 721-729. [PMID]          [DOI:10.1016/j.theriogenology.2014.11.007.]
Lee, S. C., Jeong, J. K., Choi, I. S., Kang, H. G., Jung, Y. H., Park, S. B., & Kim, I. H. (2018). Cytological endometritis in dairy cows: diagnostic threshold, risk factors, and impact on reproductive performance. Journal of Veterinary Science, 19(2), 301-308. [DOI:10.4142/jvs.2018.19.2.301.] [PMID] [PMCID]
Mira-Escolano, M. P., Mendiola, J., Mínguez-Alarcón, L., Roca, M., Cutillas-Tolín, A., López-Espín, J. J., & Torres-Cantero, A. M. (2014). Anogenital distance of women in relation to their mother’s gynaecological characteristics before or during pregnancy. Reproductive Biomedicine Online, 28(2), 209-215. [DOI:10.1016/j.rbmo.2013.09.026.] [PMID]
Negrato, C. A., & Gomes, M. B. (2013). Low birth weight: causes and consequences. Diabetology & Metabolic Syndrome, 5(1), 1-8. [DOI:10.1186/1758-5996-5-49.] [PMID] [PMCID]
 
Regnault, T. R., de Vrijer, B., Galan, H. L., Davidsen, M. L., Trembler, K. A., Battaglia, F. C., ... & Anthony, R. V. (2003). The relationship between transplacental O2 diffusion and placental expression of PlGF, VEGF and their receptors in a placental insufficiency model of fetal growth restriction. The Journal of Physiology, 550(2), 641-656. [PMID] [PMCID]     [DOI:10.1113/jphysiol.2003.039511.]
Regnault, T. R. H., Friedman, J. E., Wilkening, R. B., Anthony, R. V., & Hay Jr, W. W. (2005). Fetoplacental transport and utilization of amino acids in IUGR—a review. Placenta, 26, S52-S62. [DOI:10.1016/j.placenta.2005.01.003.] [PMID]
Reynolds, L. P., Caton, J. S., Redmer, D. A., Grazul‐Bilska, A. T., Vonnahme, K. A., Borowicz, P. P., ... & Spencer, T. E. (2006). Evidence for altered placental blood flow and vascularity in compromised pregnancies. The Journal of Physiology, 572(1), 51-58. [DOI:10.1113/jphysiol.2005.104430.] [PMID] [PMCID]
Robles, M., Dubois, C., Gautier, C., Dahirel, M., Guenon, I., Bouraima-Lelong, H., ... & Chavatte-Palmer, P. (2018). Maternal parity affects placental development, growth and metabolism of foals until 1 year and a half. Theriogenology, 108, 321-330. [DOI:10.1016/j.theriogenology.2017.12.019.] [PMID]
Sakatani, M. (2017). Effects of heat stress on bovine preimplantation embryos produced in vitro. Journal of Reproduction and Development, 63(4), 347-352. [DOI:10.1262/jrd.2017-045.] [PMID] [PMCID]
Sheldon, I. M., Lewis, G. S., LeBlanc, S., & Gilbert, R. O. (2006). Defining postpartum uterine disease in cattle. Theriogenology, 65(8), 1516-1530. [PMID]      [DOI:10.1016/j.theriogenology.2005.08.021.]
Sheldon I., Owens S. E. (2017). Postpartum uterine infection and endometritis in dairy cattle. Animal Reproduction, 14, 622-629. [DOI:10.21451/1984-3143-AR1006]
Szenczi, P., Banszegi, O., Groo, Z., & Altbäcker, V. (2013). Anogenital distance and condition as predictors of litter sex ratio in two mouse species: a study of the house mouse (Mus musculus) and mound-building mouse (Mus spicilegus). PLoS One, 8(9), e74066. [DOI:10.1371/journal.pone.0074066.] [PMID] [PMCID]
Thankamony, A., Pasterski, V., Ong, K. K., Acerini, C. L., & Hughes, I. A. (2016). Anogenital distance as a marker of androgen exposure in humans. Andrology, 4(4), 616-625. [DOI:10.1111/andr.12156.] [PMID] [PMCID]
Van Eetvelde, M., Kamal, M. M., Hostens, M., Vandaele, L., Fiems, L. O., & Opsomer, G. (2016). Evidence for placental compensation in cattle. Animal 10, 1342–1350. [DOI:10.1017/S1751731116000318.] [PMID]
Wathes, D. C., Pollott, G. E., Johnson, K. F., Richardson, H., & Cooke, J. S. (2014). Heifer fertility and carry over consequences for life time production in dairy and beef cattle. Animal, 8(s1), 91-104.  [DOI:10.1017/S1751731114000755.] [PMID]
Wheelock, J. B., Rhoads, R. P., VanBaale, M. J., Sanders, S. R., & Baumgard, L. H. (2010). Effects of heat stress on energetic metabolism in lactating Holstein cows. Journal of Dairy Science, 93(2), 644-655.        [DOI:10.3168/jds.2009-2295.] [PMID]
Williams, E. J., Fischer, D. P., Noakes, D. E., England, G. C., Rycroft, A., Dobson, H., & Sheldon, I. M. (2007). The relationship between uterine pathogen growth density and ovarian function in the postpartum dairy cow. Theriogenology, 68(4), 549-559. [PMCID] [DOI:10.1016/j.theriogenology.2007.04.056.] [PMID]
Wolfenson, D., Roth, Z., & Meidan, R. (2000). Impaired reproduction in heat-stressed cattle: basic and applied aspects. Animal Reproduction Science, 60, 535-547. [DOI:10.1016/S0378-4320(00)00102-0]