Year
Publisher
Journal
Institution
Institution Country
Publication Type
1
Field Of Study
Topics
Open Access
Language
Filter 1
Year
Publisher
Journal
Institution
Institution Country
Publication Type
1
Field Of Study
Topics
Open Access
Language
Filter 1
Export
Sort by: Relevance
Showing 10 of 3,169,935 papers
Seasonal Factors and The Potential of Artificial Insemination (AI) in Dairy Cattle

Dairy cattle are dominant milk producer in Indonesia. Several programs have been carried out to increase the population of dairy cattle and milk production, one of which is Artificial Insemination (AI). Indonesia is a tropical country that has two seasons, namely the rainy season and the dry season. This study was conducted in the KPSBU Lembang working area, West Java, from November 2019 to January 2020. Rainfall data from the BMKG Dramaga Climatology Station and artificial insemination (AI) records of Frisian Holstein dairy cattle from 2017 to 2019 were collected. AI success was assessed using the Service per Conception (S/C) and Conception Rate (CR) parameters, obtained through pregnancy checks two months after insemination. Pregnancy checks were conducted using rectal palpation to confirm conception. Statistical analysis focused on seasonal differences in reproductive performance based on these metrics. Highest S/C value was 2.02 with CR Value 53.27% on rainy season with rainfall 253.67 mm month-1. The analysis showed a strong correlation (α = 0.005) between S/C and CR value (0.89*), very weak correlation between rainfall with S/C (r = -0.05) and CR (r = -0.08). The results of the research show that the rainy season and the dry season are not the main factors affecting the AI in dairy cattle, however they didn’t directly affect the season to increase the productivity of saplings.

Read full abstract
Open Access
Increasing reproductive rates of both sexes in dairy cattle breeding optimizes response to selection

It was reasoned that technologies that increase the reproductive rate of males and females in dairy cattle would realize higher responses to selection. The authors tested this hypothesis using deterministic simulation of breeding schemes that resembled those of dairy cattle in Kenya. The response to selection was estimated for four breeding schemes and strategies. Two breeding schemes were simulated, based on artificial insemination (AI) and multiple ovulation and embryo transfer (MOET) reproductive technologies. The strategies were defined according to the use of conventional semen (CS) and X-chromosome-sorted semen (XS). The four strategies therefore were AI with CS (AI-CS) and XS (AI-XS), and MOET with CS (MOET-CS) and XS (MOET-XS). The four strategies were simulated based on the current dairy cattle breeding goal in Kenya. A two-tier closed nucleus breeding programme was considered, with 5% of the cows in the nucleus and 95% in the commercial. Dissemination of superior genetic materials in the nucleus was based on all four breeding strategies, while in the commercial only the AI-CS strategy was considered. The strategies that increased the reproductive rates of both males and females (MOET-CS and MOET-XS) realized 2.1, 1.4, and 1.3 times more annual genetic gain, return and profitability per cow, per year, respectively, than strategies that increased the reproductive rates only of males (AI-CS and AI-XS). The use of CS or XS, however, did not affect response to selection in the two schemes. The findings demonstrate that reproductive technologies such as MOET maximize response to selection in dairy cattle breeding. Keywords: artificial insemination, conventional semen, deterministic simulation, multiple ovulation and embryo transfer, X-chromosome-sorted semen

Read full abstract
Open Access
Reproductive disorder studies using Radioimmunoassay (RIA) progesterone on dairy cattle

Two intensive systems of husbandry practices, Garut West Java and Yogyakarta Central Java, were chosen for this study. Both areas have been voluntarily made into a pilot farm for the application of RIA progesterone to improve reproductive performance. Five dairy cattle from Garut West Java, which according to Health Extension and Artificial Insemination Technicians anamneses and according to farmers who own the animal, were showing reproductive failure and were selected from those cattle for the study. Other fifteen dairy cattle from Yogyakarta area, with anamneses of having low reproductive performance, were also selected for this study. Milk progesterone sample were collected twice a week for five consecutive weeks period of time to follow the biological reproductive status of every animal, while samples from dairy cattle at Yogyakarta were collected three times post Artificial Insemination (AI) services, as according to Artificial Insemination Database Application (AIDA) procedure, to monitor the failure of AI, success rate of AI, and ovarian activities of the cattle. Result of the study in Garut shows that RIA progesterone indicates that animals need special treatments and most AI failed due to lack of historical information of the dairy cows. RIA progesterone leads to a suggestion that it can be use as a tool to monitor the reproductive disorder, as the recommendation made for those cows to anticipate reproductive disorder overcome the problems. Similar result found in Yogyakarta, which almost 50% of the observed animals failed to AI due to miss-estrus detection. Furthermore, from the RIA for milk progesterone, information of the reproductive disorder figures can be drawn and early suggestion could be made to anticipate losses. Overall, beside the reproductive historical record, RIA progesterone is important tool to be applied in the animal husbandry system in Indonesia as to improve the herd productivity and has an economical value to reduce operational cost at waiting period for feeding animal up to INS Rp 224,000 — 336,000 per head animal.

Read full abstract
Nonreturn Rates of Dairy Cattle Following Uterine Body or Cornual Insemination

In the daily cattle industry, uncertainty still remains regarding the most desirable site of inseminate deposition to maximize AI conception rates. The effect of site of inseminate deposition on nonreturn rates was determined from 2195 cornual and 2428 uterine body-bred dairy cattle. Twelve technicians from various areas of Pennsylvania and New York were chosen on the basis of their accuracy of semen deposition in retraining sessions, average nonreturn rates, and their willingness to cooperate in the study. For a 3-mo period (June, July, and August 1988), technicians alternated weeks of cornual and uterine breeding on all dairy cattle inseminated. One-half (.25ml) of each semen unit was deposited approximately 5.1cm into each uterine horn for cornual insemination. No significant difference in nonreturn rates was found between horn-bred (70.8%) and body-bred (69.5%) cows. The range of differences in percent nonreturn rates for technicians was 19 and 30% for body and cornual inseminations, respectively. A significant difference in nonreturn rates was found between technicians and between months with significantly higher average nonreturn rates (6.8%) in June. Cornual and uterine body deposition of semen yielded similar results; therefore, depositing an inseminate in the uterine horns to maximize fertility is unnecessary.

Read full abstract
Open Access