scholarly journals Stochastic economic analysis of dairy cattle artificial insemination reproductive management programs

2009 ◽  
Vol 92 (3) ◽  
pp. 1290-1299 ◽  
Author(s):  
N.J. Olynk ◽  
C.A. Wolf
Keyword(s):  
Economic Analysis ◽  
Dairy Cattle ◽  
Artificial Insemination ◽  
Reproductive Management

scholarly journals Effect of One-Day Delaying CIDR Administration in 5-Day Cosynch Protocol in Dairy Heifers

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1402
Author(s):  
Sükrü Metin Pancarci ◽  
Örsan Güngör ◽  
Osman Harput ◽  
Oguz Calisici
Keyword(s):  
Artificial Insemination ◽  
Follicle Development ◽  
Dominant Follicle ◽  
Dairy Heifers ◽  
Reproductive Management

Effect of one-day delaying progesterone administration at the beginning of 5-day Cosynch protocol was investigated in Holstein heifers for the first artificial insemination (AI). Heifers received a synchronized ovulation and timed AI (TAI) with CIDR inserted on day (d) 0 (CIDR-5; n = 206) or d 1 (CIDR-4; n = 192). In both group, GnRH was administered on d 0 followed by a single PGF2α injection and CIDR removal five days later from GnRH. On d 8, TAI and GnRH administration were concurrently conducted. Heifers detected in estrus up to 24 h prior to TAI were inseminated without GnRH administration. Rates of ovulation, accessory CL formation and new dominant follicle development following initial GnRH injection did not differ between groups. P/AI did not differ between CIDR-4 (44.3%, [85/192]) and CIDR-5 (51.9%, [107/206]) groups, respectively. Pregnancy per AI (P/AI) was significantly (p < 0.01) declined as heifers’ age (12–13, 14, 15, 16 and17–21 months) proceeded in CIDR-4 group (55.6%, 52.1%, 37.9%, 35.7%, 32.4%) compared to those in CIDR-5 group (60.0%, 50.0%, 53.9%, 51.5%, 46.2%) respectively. In conclusion, there is no benefit for delaying CIDR administration in 5-day Cosynch protocol in dairy heifers. However, higher P/AI in CIDR-5 group in older heifers can be considered for reproductive management.

Assisted Reproductive Technologies for Decision Support in Reproductive Management of Dairy Cattle in Ke

2021 ◽  
Vol 7 (1) ◽  
pp. 10-18
Author(s):  
Wilkister Nakami ◽  
◽  
Victor Tsuma ◽  
Keyword(s):  
Decision Support ◽  
Dairy Cattle ◽  
Human Population ◽  
Management Practices ◽  
Assisted Reproductive Technologies ◽  
Reproductive Technologies ◽  
Breeding Method ◽  
Reproductive Management ◽  
Low Levels ◽  
Livestock Products

The human population is expected to double in Africa by 2030 and with it a consequent rise in demand for livestock products. Reproductive technologies improve livestock productivity however, uptake of the technologies has been low in Africa, yet this is where there is a dire need for livestock products as the human population surges. This study aimed to assess knowledge extent and understanding the use of assisted reproductive technologies in decision support for reproductive management of dairy cattle in Kenya. Dairy farmers and veterinary practitioners were interviewed using a questionnaire to obtain relevant data on knowledge, attitude and practices in the use of assisted reproductive technologies in reproductive management in dairy farms. Observable heat signs was the only method used by participants to ascertain estrus in a cow. Artificial insemination technique was adopted by all farmers as the breeding method of choice. The analysis highlighted that the respondents with low levels of formal education had less knowledge on reproductive technologies and displayed risky practices. Overall, a larger proportion of respondents indicated that the assisted reproductive technologies would be important in reproductive management. The relatively low levels of awareness, higher levels of education and a willingness to use the assisted reproductive technologies in reproductive management of dairy cattle strengthen the logic of improving productivity through the application of these assisted reproductive technologies as well as improve levels of awareness of reproductive management practices. Keywords: attitude, heat detection, knowledge, pregnancy diagnosis, practices, progesterone

scholarly journals Non-specific Bacterial Profiles in Reproductive Tract of Dairy Cattle during Artificial Insemination

2021 ◽  
Vol 11 (1) ◽  
pp. 110-114
Author(s):  
Astin Islam Andriani ◽  
Sri Pantja Madyawati ◽  
Emy Koestanti Sabdoningrum
Keyword(s):  
Dairy Cattle ◽  
Bacterial Infection ◽  
Artificial Insemination ◽  
Reproductive Tract ◽  
The Other ◽  
Reproductive Efficiency ◽  
Reproductive Disorders ◽  
Bacterial Isolation ◽  
Isolation And Identification ◽  
Other Hand

One of the causes of low reproductive efficiency in dairy cattle is the presence of reproductive disorders caused by a non-specific bacterial infection. The aim of the present study was to isolate and identify the genus of non-specific bacteria in the reproductive tract of dairy cattle during artificial insemination. A total of 10 samples in the form of mucus attached to the plastic sheath used after artificial insemination in dairy cattle were collected in the study. The samples were subjected to bacterial isolation and identification. The obtained results of the study indicated that Staphylococcus was the dominant genus found (90%). On the other hand, other genera were Escherichia (60%) and Corynebacterium (20%).

The use of progeny testing with artificial insemination in dairy cattle

1950 ◽  
Vol 50 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Alan Robertson ◽  
J. M. Rendel
Keyword(s):  
Dairy Cattle ◽  
Artificial Insemination ◽  
Progeny Testing

scholarly journals Milk production performances of crossbred cattle at the villages of Jamalpur district in Bangladesh

2017 ◽  
Vol 4 (2) ◽  
pp. 91-98
Author(s):  
Maksuda Begum ◽  
Jahura Begum ◽  
Md Kamrul Hasan Majumder ◽  
Mohammad Monzurul Hasan ◽  
Md Shamsul Hossain ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Artificial Insemination ◽  
Production Performance ◽  
Lactation Period ◽  
Body Measurements ◽  
Crossbred Cattle ◽  
Chest Girth ◽  
Spss Software ◽  
Cattle Rearing

Data on body measurements like BL (body length), CG (chest girth), WH (wither height) TM (test day milk production), PM (peak milk production), LP (lactation period), CFDC (cost for concentrate feed before test day milk production per cow), GGU (green grass used before test day milk production per cow) and husbandry practices, were collected from a total of 100 dairy cattle at the villages of Islampur upazila under the district of Jamalpur in Bangladesh from January to February 2017. Collected data were analyzed using SPSS software. The highest BL, CG, WH, CFDC and GGU were 175.71±0.42 cm, 161.74±0.24 cm,123.82±0.11 cm 125.54±0.24 bdt/cow/day and 27.29±0.89 kg/cow/day, respectively. The highest amounts of TM, PM and LP were 9.36±0.60 liter/cow, 13.11±0.54 liter/cow and 247.14±1.47 days/cow, respectively. BL, CG and WH increased with increased of the age of crossbred cattle up to 150 months of old. Similarly, CFDC and GGU increased with the increased of the age of crossbred cattle up to 150 months of old. Farmers in the study area were not interested to keep breeding bulls for breeding purpose but they were using artificial insemination system to inseminate their cows and aware about production performance record of the inseminating bull. Farmers took health services from milk vita and sold milk to the same. They believed that dairy cattle rearing a profitable livelihood. TM, PM and LP increased with the increased of the age of crossbred cattle up to 150 months of old. However, increase of CFDC will increase TM, LP and PM but increase of GGU will increase only LP. On the other hand increase of CG will increase TM and increase of BL will increase LP and PM.Res. Agric., Livest. Fish.4(2): 91-98, August 2017

Generation intervals in Canadian dairy cattle herds

2020 ◽  
Vol 100 (1) ◽  
pp. 175-183
Author(s):  
Bernard Ato Hagan ◽  
Roger Cue
Keyword(s):  
Environmental Factors ◽  
Dairy Cattle ◽  
Artificial Insemination ◽  
Dairy Farms ◽  
Path Selection ◽  
Housing System ◽  
Genetic Progress ◽  
Brown Swiss ◽  
Holstein Breed ◽  
Cattle Herds

Genetic evaluation records for the Canadian Holstein, Ayrshire, Jersey, and Brown Swiss bulls and cows born from 1950 and 1960, respectively, were used to study the generation intervals (L) along the four-path selection model. The objectives of the study were to determine the L in the four dairy cattle breeds and the effects of some environmental factors and variations among herds or artificial insemination (AI) studs on the L achieved. Total L of the four selection paths was reduced by 55% from 29.2 yr in 1980 to 13.2 yr in 2016 in the Holstein breed. Substantial reductions in total L were also observed in the Ayrshire, Jersey, and Brown Swiss populations between 1980 and 2016. Unlike progeny year of birth, housing system, agricultural region in Québec (region) — as well as their interaction — were not important on realised L of sires and dams used on Canadian dairy farms. There were significant variations among herds and AI studs on the age of sires and dams used for breeding. The considerable variations in realised L among herds and AI studs offer opportunities to increase the annual rate of genetic progress in the four Canadian dairy cattle populations.

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