Early detection of pregnancy is vital for appropriate reproductive management programmes to facilitate the rapid re-insemination of non-pregnant females and reduce the calving interval. A barium chloride test was compared with a commercial progesterone ELISA to detect pregnancy in non-descriptive cows and investigate if it could be applied as an alternative to ELISA in the field. Blood and urine samples were collected from 74 cows with recorded insemination dates. The progesterone ELISA and barium chloride assay were implemented to detect progesterone (P4) in blood and urine specimens, respectively. The cows' reproductive systems were examined after they were slaughtered to determine the uterus's status. Macroscopic examination of the uterus was used as a reference standard for both tests. The sensitivity rates of the P4 ELISA and barium chloride test to detect pregnant cows were 100.0% and 79.4%, and to detect the corpus luteum (CL) were 83.0% and 87.0%, respectively, their sensitivity increasing in the presence of the CL. The ELISA and barium chloride tests were 79.7% and 52.7% accurate in the diagnosis of pregnancy. The accuracy of the barium chloride test in CL detection increased to 81.0%, and that of the ELISA to 86.4%. There were no significant differences (P = 0.052) between the barium chloride assay and ELISA when they were utilised for the identification of the CL. The barium chloride test can be an inexpensive and time-saving alternative to ELISA in pregnancy diagnosis when the insemination date is known.

Objective: To explore feeding strategies and identify eventual errors that could cause poor pro¬duction and reproduction performances in dairy farms in the north of Algeria. Materials and Methods: A survey was conducted among 211 farms of different sizes, from 2014 to 2018 to compose a database that is analyzed statistically. Results: The results relative to the nutritive value of the rations showed an average dry matter intake of 15.9 ± 4.74 kg/cow/day, providing 13.2 ± 4.34 UFL (Feed Unit for Lactation) of net energy and 1306 ± 456 gm of protein digested in small intestine (PDI)/cow/day. A high proportion of concentrate intake is observed, with an average of 64.7% ± 17.4% of energy intake and 70.2% ± 16.2% of nitrogen intake. Dairy cows performances were characterized by a low milk production regarding their genetic potential (14.2 ± 4.73 kg of milk/cow/day), a calving interval > to one year (397 ± 20.4 days), though the coverage rates of their nutrient requirements reached 120%. The typology of the dietary rations allowed grouping them into three categories: deficient rations cluster (DR), correct rations cluster, and excessive rations cluster (ER). DR and ER, which are not adjusted to animals needs, were found in 57.8% of farms. Conclusion: It is obvious that the feeding management in the dairy farms in the North of Algeria is not based upon scientific achievements, contributing to relatively low performances of cows as well as to important financial losses. This finding imposes the necessity to adopt a correct and accurate rationing of animals. [J Adv Vet Anim Res 2019; 6(4.000): 567-574]

A survey was conducted among the small holder dairy farmers in 80 Panchayaths of 14 districts in Kerala in order to evaluate the reproductive performance of crossbred cattle population in Kerala at field level. Analysis of the data showed that the herd size of cattle in Kerala was around 3 per house during the period of 2012 and 2013. Three fertility traits, age at first calving (AFC), calving interval (CI) and number of services per conception (NSC) were studied in detail and the averages of these traits were 1093 ± 10.52 days, 551 ± 48 days and 2.02 ± 0.01 services per conception, respectively. Fixed model analysis was carried out to see the effect of some of the major factors leading to variation in AFC, CI and NSC and found that there was significant difference in reproductive performances among different genetic groups. AFC and NSC of crossbred Holstein Friesian cows and CI of Sunandini cows were lower compared to other genetic groups. Other factors significantly influencing AFC were period of birth and season of birth. Apart from genetic groups, number of services per conception was influenced by type of semen used and also the level of peak milk production.