Case Study: On-farm Demonstration for the Impact of Applied Reproductive Technologies

2021 ◽  
Vol 99 (Supplement_2) ◽  
pp. 4-5
Author(s):  
Courtnie L Carter ◽  
Justin D Rhinehart

Abstract Demonstrating the implementation of, and results from, applied management technologies on privately held farms is an essential method for Extension educators. A commercial cow/calf herd, for which the management was being transitioned to a younger family member, was used for this multi-year demonstration. Beginning summer 2019, the cow herd was inventoried and evaluated, and a plan was put in place to improve profitability through enhanced reproductive management. Initial evaluation showed an overall pregnancy rate of 75.6% with a 153 d calving season for cows and breeding age heifers (n = 209). Non-pregnant and un-sound cattle were sold (n = 56). The average initial BCS was a 4.5 (1 to 9 scale). Estrus synchronization for natural service was utilized in the first breeding season (Fall 2019) to condense the subsequent calving season. Melengestrol acetate (MGA) was fed at a rate of 0.5 mg/head/d for 7 d and bulls introduced on he last day MGA was fed. Also in year 1, timed artificial Insemination was used to breed purchased (n = 37) and home raised (n = 18) replacement heifers. A group of pregnant cows ranging in age from 5 to 8 years (n = 47) were also purchased in year 1. Ultrasonography was used to detect pregnancy and estimate calving date on 30 d post AI, and 30 d post bull removal. Year 2 pregnancy rate was 93% for heifers and 88% for cows with a 131 d estimated calving interval for all cows and heifers (n = 255), with 94% expected to calve in the first 90 days. In summary, while it is difficult to eliminate year-over-year variables, a combination of culling strategy and estrus synchronization for both natural service and AI resulted in an increased proportion of cows and heifers calving earlier in the calving season, which is expected to improve marketing potential and profitability of the resulting calf crop. Condensing the calving interval provides opportunity to introduce additional reproductive management practices. Results from this demonstration will be incorporated into Extension educational curricula.

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 433-433
Author(s):  
Julie Walker ◽  
Jerica J Rich ◽  
Warren C Rusche ◽  
George A Perry

Abstract The experiment objective was to evaluate the impact of assisted reproductive technologies on post weaning calf performance. Calves born following various reproductive treatments (synchronized natural service and synchronized AI) in 10 herds over 2 years were fed to reach a target backfat (BF) of 1.27 cm, sent to harvest, and carcass data collected. Calves were classified into calving groups as natural service born early (NS-Early, n = 189), natural service born late (NS-Late, n = 203), or AI sired born early (AI-Early, n = 116). Data were analyzed using the MIXED procedure in SAS with calving group, year and calf gender in the model. Weaning weights were similar between AI-Early and NS-Early; however, earlier born calves (AI-Early and NS-Early) were heavier (P < 0.0001) than NS-Late. AI-Early calves had heavier finished bodyweight (622.2 kg: P = 0.0024) compared to NS-Early (601.4 kg) and heavier HCW compared to both NS-Early and NS-Late (P < 0.01). NS-Early calves reached 1.27 cm BF in fewer days than AI-Early (261 d and 275 d, respectively; P < 0.01) with NS-late requiring the most days on feed to reach the same endpoint (296 d, P < 0.01). No differences in Quality Grade, Yield Grade, REA, marbling, or BF were detected between AI-Early, NS-Early, and NS-Late, or between early- and late-born calves (P > 0.38). Late-born calves required 29 more days on feed (P < 0.001) to reach 1.27 cm BF resulting in greater final bodyweight compared to early-born calves (625.5 kg and 612.8 kg, respectively; P = 0.04); however, hot carcass weights were similar between early- and late-born calves. Reproductive technologies that increase the number of calves born early in the calving season increased weaning weight and post weaning growth performance, but compared to high quality natural service sires, AI did not improve carcass characteristics.


2021 ◽  
Vol 7 (1) ◽  
pp. 10-18
Author(s):  
Wilkister Nakami ◽  
◽  
Victor Tsuma ◽  

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


2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 49-49
Author(s):  
Robbi H Pritchard

Abstract Changes in cow-calf operations and management need to be deliberate and focus on consumer preferences that are substantive and enduring. For the sake of argument these preference changes could include: 1) continued erosion of the image of the cattle industry; 2) growth in demand of high quality grade beef, likely branded, and available at an affordable price; 3) production systems that yield improvements in cattle health, have a lesser environmental impact, and demonstrate prudent animal care and well-being; 4) Specification systems that may or may not include stipulations such as grass fed or non-implanted. At the ranch level there will be continued pressure to pursue rapid, efficient growth, marbling, structural soundness, and immunocompetence via genetic selection. A major step to reduce health problems is to reduce co-mingling. To achieve this goal breeding programs will change to improve the genetic and phenotypic uniformity and possibly the heterosis of the calf crop on each ranch. The National calving season needs to be more uniformly distributed throughout the year. New, more relevant cattle performance metrics will be developed. Calves that fit a branded production stream will have more value. Production streams that require Verified processes will be inequitably distributed across herd size because of associated costs, forcing smaller herds to either coop, vertically integrate, or accept generic cattle prices. Because of the diversity of environments and corresponding compatible bio-types of cows, identifying the profitable combination of specific branded systems with the genetics, calving season, labor, resource management and nutrition program of the ranch is very complicated. It will be increasingly necessary to put incremental response assessments in the context of the greater production-product system. Successful adaptors will place a much greater reliance on strong technical support in the areas of genetics, nutrition, growth, animal handling, documentation, and branded production streams.


2020 ◽  
Vol 15 (03) ◽  
pp. 21-23
Author(s):  
CP Parmar ◽  
AJ Dhami ◽  
JA Patel ◽  
VP Belsare

A total of 54-adult non-pregnant Surti goats were selected and randomly divided into three equal groups (n=18 each). Two groups were put under estrus synchronization protocols, viz., Double PGF2α protocol (Inj. Dinoprost 12.5 mg, i/m, 11 days apart with natural breeding from 72-144 hours of second PG inj.) and NC Synch protocol (PG 12.5 mg - GnRH 0.004 mg - PG 12.5 mg - GnRH 0.004 mg on days 0, 8, 15 and 18, respectively with natural breeding during 19-21 days) using standard management practices and 3rd group was kept as untreated control. All the goats were dewormed before initiation of treatment. The estrus response (100% each), duration of estrus, pregnancy rate at 60 days post-breeding (55.55 vs. 44.44 and 55.55 %), and kidding rate (100% each) were statistically same in control and synchronized goats. However, twins were in almost 50% of kidding under the NC Synch group compared to 25% in Double PG protocol and 40% in the control group, with almost 100% kid survival till weaning. Thus, NC Synch Protocol was better in terms of pregnancy rate (55 vs. 44%) and fecundity (1.5 vs. 1.0) over double PGF2α protocol, and even untreated control goats.


Author(s):  
M A Marrella ◽  
R R White ◽  
N W Dias ◽  
C Timlin ◽  
S Pancini ◽  
...  

Abstract The objective of this study was to assess differences in reproductive performance of natural service and artificial insemination (AI) sired beef females based on pregnancy outcomes, age at first calving, and calving interval. Data were sourced from 8,938 cows sired by AI bulls and 3,320 cows sired by natural service bulls between 2010 and 2017. All cows were in a commercial Angus herd with 17 management units located throughout Virginia and represented spring and fall calving seasons. All calves were born to dams managed with estrus synchronization. Pregnancy was analyzed with generalized linear mixed models and other reproductive measures with linear mixed models in R. Six models were evaluated with the dependent variables of pregnancy status at the first diagnosis, pregnancy status at the second diagnosis, pregnancy type (AI or natural service) at the first diagnosis, pregnancy type at the second diagnosis, calving interval, and age at first calving. Independent variables differed by model but included sire type of the female (AI or natural service), pre-breeding measures of age, weight, and body condition score, postpartum interval, sex of the calf nursing the cow, and management group. No differences were observed between AI- and natural service-sired females based on pregnancy status at first and second pregnancy diagnosis (P > 0.05). Sire type was only found to be significant for age at first calving (P < 0.05) with AI-sired females being 26.6 ± 1.6 days older at their first calving, which was expected because AI-sired females were born early in the calving season making them older at breeding. Surprisingly, age and body condition score were not significant predictors of pregnancy (P > 0.05). Body weight at breeding was not significant for pregnancy (P > 0.05) but was significant for age at first calving (P < 0.05). These data suggested that lighter heifers calved earlier which contradicts our original hypothesis. Overall, commercial Angus females sired by AI or natural service bulls had similar reproductive performance. Factors that were commonly associated with reproductive success were not significant in this commercial Angus herd managed with estrus synchronization. Given the size of these data, the importance of body condition, age, and weight should be reassessed in modern genetics and management practices.


2018 ◽  
Vol 15 (2) ◽  
pp. 1-20
Author(s):  
Sabri Embi ◽  
Zurina Shafii

The purpose of this study is to examine the impact of Shariah governance and corporate governance (CG) on the risk management practices (RMPs) of local Islamic banks and foreign Islamic banks operating in Malaysia. The Shariah governance comprises the Shariah review (SR) and Shariah audit (SA) variables. The study also evaluates the level of RMPs, CG, SR, and SA between these two type of banks. With the aid of SPSS version 20, the items for RMPs, CG, SR, and SA were subjected to principal component analysis (PCA). From the PCA, one component or factor was extracted each for the CG, SR, and RMPs while another two factors were extracted for the SA. Primary data was collected using a self-administered survey questionnaire. The questionnaire covers four aspects ; CG, SR, SA, and RMPs. The data received from the 300 usable questionnaires were subjected to correlation and regression analyses as well as an independent t-test. The result of correlation analysis shows that all the four variables have large positive correlations with each other indicating a strong and significant relationship between them. From the regression analysis undertaken, CG, SR, and SA together explained 52.3 percent of the RMPs and CG emerged as the most influential variable that impacts the RMPs. The independent t-test carried out shows that there were significant differences in the CG and SA between the local and foreign Islamic banks. However, there were no significant differences between the two types of the bank in relation to SR and RMPs. The study has contributed to the body of knowledge and is beneficial to academicians, industry players, regulators, and other stakeholders.


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