Effect of seminal plasma treatment on conception rate in Holstein cows

Relationships between conception rate in Holstein heifers and cows and milk yield at various stages of lactation

The enhancement of the implementation of Artificial Insemination program is one of the government's efforts to boost the cattle’s population in Indonesia, especially the eastern part of Indonesia. Gowa Regency through the Department of Fisheries and Livestock has been implementing Artificial Insemination (AI), especially in District of Tombolo Pao which has been running for 3 years. This study was conducted to see how far the success rate of AI in District of Tombolo Pao by looking at the influence of several factors: the origin and quality of the frozen semen used, the farmers’ characteristics, the inseminator qualifications, S/C ratio, Conception Rate (CR) and Calving Interval (CI). This study was conducted from June to August 2014 in District of Tombolo Pao, Gowa Regency. The basic method used is descriptive and quantitative analysis. The data used is primary and secondary data. This study aims to analyze the factors that support the success of AI in District of Tombolo Pao, Gowa Regency, they are: The origin and quality of frozen semen used; Characteristics of the farmers; the Farmers’ participation on AI; and the success of AI based on the score of Conception Rate (CR), S / C ratio, and Calving Interval (CI). Frozen semens used in AI in District of Tombolo Pao are from the Center of AI in Lembang and Singosari, West Java. The quality of the semen also can be determined from the score of conception rate which is 60-75%. The characteristics of the respondent farmers: the majority age is 30-50 years (75%), most of the farmers’ background is elementary education level (70.5%), with the main livelihood as farmers (79.6%) having averagely 4 -5 cattles (68.2%) and the average period of being a cattle farmer is 7-8 years (86.4%). Participation of farmers in the AI program is very enthusiastic indicated by 79.5% of the farmers agree for crossing their cattle breed through AI technique. The period of the farming, number of livestock and the participation of the farmers in AI program is not significantly influenced the success of AI. However, the success of AI program can be figured out through the score of CR = 60-75% (84.1%); S / C ratio <3 (75%); and CI average of 12 months (70.5%). The age of the farmers is significantly influenced the success 14 of AI in CI score (p <0.05). Level of education significantly influenced the success of AI in CR score (p <0.05).

Factors affecting conception rate after artificial insemination and pregnancy loss in lactating dairy cows

Sperm cryosurvival rates are not optimal for most species. Therefore, new cryopreservation strategies are needed with the objective of increasing the number of surviving sperm and the quality of those sperm after thawing. Cholesterol plays important roles in many sperm functions, including effects on membrane properties. One of these effects is to stabilize membranes at low temperatures. Thus, species that produce sperm which possess high membrane cholesterol : phospholipid ratios are more resistant to cold shock than sperm with low cholesterol : phospholipid ratios. Therefore, increasing the cholesterol content of sperm membranes may be a strategy that can improve sperm quality after freeze-thawing. In this review, information is presented related to using cyclodextrins pre-loaded with cholesterol for cryopreserving sperm from different species. The topics discussed include both in vitro and in vivo assessments of sperm quality after cryopreservation, as well as how increasing sperm cholesterol content affects other sperm functions.

Crossbreds of Jersey × Holstein Compared with Pure Holsteins for Body Weight, Body Condition Score, Dry Matter Intake, and Feed Efficiency During the First One Hundred Fifty Days of First Lactation

The successful implementation of the artificial insemination (AI) program is a Measurement of the amount reproductive efficiency value that achieved. The value of the efficiency of the successful of artificial insemination (AI) can be assessed by measuring the rate per pregnancy or Service per Conception (S/C), calving distance or Calving Interval (CI) and pregnancy rate or Conception Rate (CR). This research has been carried out in Muaro Jambi Regency from September 11, 2021 to October 01, 2021. This study aims to determine the success of artificial insemination (AI)) in Bali cow in Muaro Jambi Regency and to determine Service Per Conception (S/C), Conception Rate (CR), and Calcing Interval (CI). This research was conducted using a survey method where the sampling method (respondents) was purposive sampling of respondents who has the criteria, namely respondents who had mother cows who had given birth at least 2 times to breeders in Jambi Luar Kota District, Muaro Jambi Regency and were married by artificial insemination (AI). The changes observed were Service per Conception (S/C), calving interval or Calving Interval (CI) and pregnancy rate or Conception Rate (CR). The data obtained were processed. The results showed that the successful of artificial insemination (AI) in Muaro Jambi Regency in the form of Service per Conception (S/C) which was 1,58, calving interval (CI) of 14,05 months and pregnancy rate or Conception Rate (CR). ) ) of 56,14%. It can be concluded that the successful of Synthetic Insemination (SI) in Muaro Jambi Regency can be categorized as having succeeded optimally, it can be seen from the service per concept (S/C), calving interval (CI) and the level of conception (CR).

The objective of this study was to characterize the associations between body condition score (BCS) and BCS change (∆BCS), determined by an automated camera system during early lactation and close to artificial insemination (AI), and the subsequent pregnancy loss (PL) in Holstein cows. A secondary objective was to determine the impact of disease on PL, considering multiple time periods relative to AI. Data from 9,430 lactations in 6,884 Holstein cows in a commercial dairy operation located in Colorado, USA were included in this retrospective observational study. Cows were subject to first AI at about 80 DIM (primiparous) and 60 DIM (multiparous), following a double OvSynch protocol. Pregnancy diagnosis was performed via transrectal ultrasonography on day 32 ± 3 after AI and reconfirmed on day 80 ± 3 after AI. Cameras mounted on the sorting gate at each exit (n = 2) of the milking parlor generated BCS on a five-point scale with 0.1 increments. The BCS at calving (BCS1), 21 DIM (BCS21), 56 DIM (BCS56), AI resulting in pregnancy (BCSAI), and 90 d post AI (BCSAI90) were selected for the analyses and subsequently categorized as low (≤ lower quartile), moderate (interquartile range), and high (≥ upper quartile). Changes in BCS were calculated by periods of interest as change from calving to 21 DIM; change from calving to 56 DIM; change from 56 DIM to AI; and change from AI to 90 d post AI and assigned into categories to facilitate the analysis. Data were examined using logistic regression, considering parity category, season at calving and AI, DIM at AI, milk yield up to 60 DIM, and occurrence of disease as covariables. The logistic regression analyses indicated that the odds of PL were greater in cows in the low BCS category relative to cows in the high BCS category at 56 DIM (OR 95% CI = 1.41 [1.12-1.79]), AI (1.31 [1.05-1.65]), and 90 d post AI (1.38 [1.10-1.74]). Likewise, cows with large loss in BCS between calving and 21 DIM (1.46 [1.10-1.94]) and loss in BCS between AI and 90 d post AI (1.44 [1.15-1.81]) had greater odds of PL compared with cows with no loss of BCS within the same period. Occurrence of disease at all the time periods considered in the analysis had a consistent detrimental impact on maintenance of the pregnancy, supporting the concept that pre and postconceptional disease affects embryonic survival. Overall, low BCS, more pronounced reductions in BCS occurring closer to AI, and occurrence of disease resulted in greater PL in this Holstein population.

The semen evaluation techniques used in most commercial artificial insemination centers, which includes sperm motility and morphology measurements, provides a very conservative estimate of the relative fertility of individual boars. As well, differences in relative boar fertility are masked by the widespread use of pooled semen for commercial artificial insemination (AI) in many countries. Furthermore, the relatively high sperm numbers used in commercial AI practice usually compensate for reduced fertility, as can be seen in some boars when lower numbers of sperm are used for AI. The increased efficiency of pork production should involve enhanced use of boars with strong reproductive efficiency and the highest genetic merit for important production traits. Given that the current measures of semen quality are not always indicative of fertility and reproductive performance in boars, accurate and predictive genetic and protein markers are still needed. Recently, significant efforts have been made to identify reliable markers that allow for the identification and exclusion of sires with reduced reproductive efficiency. This paper reviews the current status of proteomic and genomic markers of fertility in boars in relation to other livestock species.

Avaliou-se, durante um ano, o desempenho reprodutivo de 94 vacas leiteiras mestiças Bos taurus x Bos indicus submetidas a um programa de reprodução assistida. Um protocolo de inseminação artificial em tempo fixo (IATF) foi executado por meio de dispositivo intravaginal contendo progesterona e das injeções de prostaglandina F2α e de cipionato de estradiol. Por meio de ultrassonografia, entre 7 e 14 dias após as inseminações ou montas controladas, realizou-se a detecção de corpo lúteo nos ovários a fim de determinar a taxa de ovulação e, no 28º dia, fez-se o diagnóstico de gestação para cálculo da taxa de concepção. Respeitou-se um período mínimo de 34 dias após o parto antes do tratamento. Não houve influência do escore de condição corporal e da presença de corpo lúteo no início do protocolo, nem da reutilização do dispositivo intravaginal e da monta controlada ou inseminação artificial, sobre as taxas de ovulação, concepção e concepção das vacas ovuladas. As taxas de concepção e de concepção das vacas ovuladas foram afetadas negativamente pelo elevado número de dias pós-parto (DPP), ou dias em lactação e pela época quente do ano, primavera/verão. A resposta ao protocolo de inseminação artificial em tempo fixo baseado no uso de progesterona, PGF2α e cipionato de estradiol é prejudicada pelo aumento dos dias em lactação e pela época quente do ano. A condição corporal não afeta a resposta ao protocolo de inseminação artificial, desde que as vacas tratadas apresentem escore acima de 2,25 pontos.

Lessons learned in andrology: looking at the spermatozoa in context.

Melatonin is a ubiquitous molecule, present in a wide range of organisms, and involved in multiple functions. Melatonin relays the information about the photoperiod to the tissues that express melatonin-binding sites in both central and peripheral nervous systems. This hormone has a complex mechanism of action. It can cross the cell plasma membrane and exert its actions in all cells of the body. Certain melatonin actions are mediated by receptors that belong to the superfamily of G-protein-coupled receptors (GPCRs), the MT1 and MT2 membrane. Melatonin can also bind to calmodulin as well as to nuclear receptors of the retinoic acid receptor family, RORα1, RORα2 and RZRβ. The purpose of this review is to report on recent developments in the physiological role of melatonin and its receptors. Specific issues concerning the biological function of melatonin in mammalian seasonal reproduction and spermatozoa are considered. The significance of the continuous presence of melatonin in seminal plasma with a fairly constant concentration is also discussed.

Background: Reproductive efficiency is one of the most important factors affecting the performance dairy cattle, and fixedtime artificial insemination (TAI) is an important biotechnology factor employed in bovine livestock. The achievement of satisfactory results in TAI protocols depends of several factors, such as health and body condition, milk yield, environmental temperatures, ovulation time, semen manipulation, as well as semen quality. The goal of this study was to evaluate the conception rate of heifers and multiparous cows based on different Holstein bulls used for artificial insemination (AI). The effects of the type of management AI, animal category, and season of the year were also examined.Materials, Methods &amp; Results: A three-year database on the reproductive management of a dairy farm was formed. All the cows and heifers were of the Holstein breed, in semi-intensive nutritional management, milked twice a day, and received a total mix ration. After 45 days in milk, when cows were observed twice daily with estrus signs, posterior artificial insemination occurred 12 h after estrus visualization was made. However, cows that were not observed in estrus were submitted to a timed artificial insemination (TAI). In this study, these fixed factors were considered: bulls utilized for the AI (totalizing 10 animals with at least 100 inseminations in each season, denoted by the letter B and a number - B1, B2, B3, B4, B5, B6, B7, B8, B9, B10); the season of the insemination (spring/summer being from November to April and autumn/winter from May to October), category animal (heifers, animals that never have been calved, or multiparous, animals that have already given birth more than once), and the type of AI (which included TAI using a protocol for synchronization, but cows having not necessarily shown estrus signs at the AI; ETAI: using protocol of synchronization, cows showing estrus signs at the AI; and AI with estrus visualization, without protocol of synchronization when animals were observed in estrus and were inseminated 12 h later. The fertility parameter of the bulls and reproductive performance in AI was based on conception rate. There was a statistical difference among different bulls in the same season (P ≤ 0.05). There was also a difference in reproductive performance of the same bulls between seasons, autumn/winter and spring/summer; B8 37.8% vs. 32.0% (P = 0.05) and B10 35.1% vs. 20.7% (P = 0.003). Regarding the individual animal category, only one bull (B6) demonstrated higher reproductive performance when utilized in the AI of heifers than multiparous 39.2% vs. 27.2% (P = 0.01). Similarly, regarding the effect of the type of AI, only one bull (B8) exhibited different results, obtaining better results for conception rate when utilized in fixed TAI with estrus visualization (35.5%) and in the AI with estrus visualization (39.0%) compared with that of TAI (19.9%) (P &lt; 0.05).Discussion: From these results, it was observed that some bulls exhibited better performance in situations of greater challenge. In addition, some animals presented variation in efficiency with the demonstration of estrus or not. Therefore, bulls that present semen with higher fertility in certain types of AI could be utilized on a larger scale for to increase the reproductive rates in artificial insemination. The results of this study indicate that despite the tests indicating the semen that is submitted is adequate, there are still variations in quality and the reproductive efficiency of each bull. With the effects varying based on fertility and on different environmental and management situations.

BackgroundSubfertility is a major issue facing the dairy industry as the average US Holstein cow conception rate (CCR) is approximately 35%. The genetics underlying the physiological processes responsible for CCR, the proportion of cows able to conceive and maintain a pregnancy at each breeding, are not well characterized. The objectives of this study were to identify loci, positional candidate genes, and transcription factor binding sites (TFBS) associated with CCR and determine if there was a genetic correlation between CCR and milk production in primiparous Holstein cows. Cows were bred via artificial insemination (AI) at either observed estrus or timed AI and pregnancy status was determined at day 35 post-insemination. Additive, dominant, and recessive efficient mixed model association expedited (EMMAX) models were used in two genome-wide association analyses (GWAA). One GWAA focused on CCR at first service (CCR1) comparing cows that conceived and maintained pregnancy to day 35 after the first AI (n = 494) to those that were open after the first AI (n = 538). The second GWAA investigated loci associated with the number of times bred (TBRD) required for conception in cows that either conceived after the first AI (n = 494) or repeated services (n = 472).ResultsThe CCR1 GWAA identified 123, 198, and 76 loci associated (P < 5 × 10− 08) in additive, dominant, and recessive models, respectively. The TBRD GWAA identified 66, 95, and 33 loci associated (P < 5 × 10− 08) in additive, dominant, and recessive models, respectively. Four of the top five loci were shared in CCR1 and TBRD for each GWAA model. Many of the associated loci harbored positional candidate genes and TFBS with putative functional relevance to fertility. Thirty-six of the loci were validated in previous GWAA studies across multiple breeds. None of the CCR1 or TBRD associated loci were associated with milk production, nor was their significance with phenotypic and genetic correlations to 305-day milk production.ConclusionsThe identification and validation of loci, positional candidate genes, and TFBS associated with CCR1 and TBRD can be utilized to improve, and further characterize the processes involved in cattle fertility.

Simple SummaryToday, recommendations for thawing methods for frozen bull semen vary, and clear data to assess their influence on fertility are contradictory. Under present practical conditions, no differences between the three different thawing methods could be detected, so no clear recommendation for semen thawing methods in dairy reproduction can be made based on our data. Study results provide evidence that inadequate reproductive performance of high-producing, lactating dairy cows is a multifactorial consequence of farm and fertility management; accordingly, the livestock industry should focus more on cow health to avoid reproductive disorders and further improve the reproductive performance of dairy cows in the future.Recommendations for thawing methods of frozen bovine semen vary and clear data evaluating their influence on fertility are contradictory. In this respect, the aim of this study was to investigate the influence of different thawing methods of frozen bull semen in artificial insemination (AI) of dairy cows on conception rate (CR) under practical conditions and to determine further possible influencing factors on the success of AI in order to provide recommendations for practical use. From 2017 to 2019, 3393 AI were performed in a dairy farm in eastern Germany, distributed randomly into three groups of thawing methods: group A: n = 426 (11 s, 38 °C water bath); group B: n = 348 (35 s, 38 °C water bath); group C: n = 385 (30 s, “in the cow”). We observed no significant difference in CR from the general linear mixed model between the thawing methods (method A/B/C, 28.5%/26.6%/24.7%), but data analysis revealed effects of lactation number, month of insemination and AI method (natural heat vs. OvSynch) on CR. Based on our data, no clear recommendation for semen thawing method in dairy reproduction can be made. Our findings suggest that the main factors of influencing reproductive performance in the field are represented by the cow-side of fertility, e.g., insemination in natural heat, lactation number and season of insemination. Therefore, dairy farmers should focus more on cow conditions to further improve reproductive performance.

The aim of the study was to evaluate effect of propylene glycol (PG) drenched during the first 7 days after fixed-time artificial insemination (FTAI) on plasma progesterone (P4) and insulin levels, and on pregnancy rate in Holstein cows in summer. Ovsynch program was performed in 40 healthy Holstein cows. Cows were distributed randomly into two groups as propylene glycol (group PG) (20) and control group (group C) (20). Group PG and group C were daily administered with 500 ml of PG and water , respectively for 7 days from day 0 to 7 post insemination. Pregnancy diagnosis was carried out 60 days after insemination via rectal examination. Cows exposed to moderate heat stress due to temperature-humidity index (74.4 ± 1.9 mean THI). Conception rate for cows in group PG increased 2.9 fold when was compared with group C. On day 7, the insulin levels were higher in group PG than group C. It was concluded that PG administered once daily from day 0 to 7 after FTAI increased insulin and P4 concentrations and the conception rate in Holstein cows. The rise in insulin and P4 levels depending on the drenched PC are likely related with the increases of conception rate.