Dairy farming plays a very important role in improving the economy of rural India. The study was conducted to explore the socio-economic profile of dairy farmers and farmers feedback about dairy development project. The survey was conducted to study the education status, family structure, education status and management of animals, different patterns of rearing of dairy animals and status of milk production. Data was collected from the 3000 dairy farmers of three states namely Maharashtra, Bihar and Uttar Pradesh during year  2016 .Concentration of poor farmers was relatively high in Bihar (35.5%), followed by Uttar Pradesh (30.9%) and 16.3% in case of Maharashtra. Average family size show 8.74 members per household in Bihar, 6.76 members in  Uttar Pradesh  and 6.17 members in Maharashtra. Results revealed that majority of the families were nuclear families. Main source of income was agriculture which includes livestock farming. As regards to the size of land owned, nearly 56% of the landowners were Marginal farmers (owning 0.1 -1 ha of land), 23% were small (1.1-2 ha) landowners while about 12% farmers owned above 2 ha of land. Literacy level was higher among farmers of Maharashtra (71.6%) as compared to Uttar Pradesh (65.8%) and Bihar (65.4%). Majority of the farmers followed mixed cropping system, Maximum number of cows and buffaloes were owned by the farmers of Maharashtra i.e. 3.37 cows and 1.42 buffaloes, followed by Uttar Pradesh (1.60 cows & 1.42 buffaloes) and Bihar (1.75 cows & 0.24 buffaloes).Farmers of Maharashtra owned maximum percentage of crossbred cows (90.97%), followed by Uttar Pradesh (83.4%) and Bihar (75.9%).Maharashtra farmers  possessed maximum number of upgraded buffaloes (79.4%), followed by Bihar (55.7%) and Uttar Pradesh (51.5%). In study of average quantity of milk produced by cows was higher among the crossbred cows (10.18 litres), in indigenous cows it was (4.47 litres) and 4.23 liters in Non-Descript cows. The data shows the same pattern of milk produced across the three states with slight variation. In buffaloes, the average quantity of milk produced was observed to be higher among the upgraded buffaloes (8.42 litres) as compared to Non-Descript buffaloes (5.17 litres). Respondents appreciated the fact that due to dairy development project by BAIF their family and social status have increased.

The objective of the study was to identify the factors affecting variation in conception rate of buffaloes inseminated by Murrah bulls’ frozen semen under field conditions. Total of 18,396 insemination records pertaining to 11,793 buffaloes that were inseminated artificially at BAIF’s field AI centers during the period of June 2010 to December 2014 in 3 states. Logistic regression analysis was used to compute the odds ratio and probability of conception rate. Records were classified according to agroclimatic zones, lactation order, season of insemination and body condition score. Agroclimatic zones, lactation order and body condition score showed significant variation. The overall conception rate was 48.01%. Conception rate of western plain zone of Uttar Pradesh was higher than other zones under study. Body condition score 3 was favourable where probability of conception was 0.51. Conception rate of first parity buffaloes was lower than other parities with the probability of 0.46. Conception rate increased in second parity with probability 0.52. Highest conception rate was found in fourth parity with probability 0.53. There was marginal difference between second to fifth parity. Season of insemination did not affect conception rate, however, the distribution of artificial inseminations was higher during the favourable season than that during lean-season. It could be inferred that the factors like agroclimatic zones, lactation order and body condition score should be considered while evaluating the conception rates in buffaloes.

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Data on 98336 artificial inseminations (AI) performed during 6 years (January 2010 to November 2015) on 56037 field animals owned by 29097 farmers’ from 44 cattle development centres spread across two districts of Maharashtra state were collected and analyzed. Whole data set was classified according to districts (Beed, Jalgaon), economic status of farmers (APL, BPL), animal breed (HF cross, Indigenous, Jersey cross, Non-descript), parity of animal (heifer, first, second, third, fourth, fifth calvers), animal body condition score (no rib exposed, one rib exposed, two ribs exposed, three ribs exposed), heat stage (early, mid, late), season of AI (rainy-June to September, winter-October to January, summer-February to May), bull breed used for AI ( HF, HF crossbreed, Jersey, Jersey crossbreed, Indigenous), AI sequence number (1,2,3) and AI Year (2010 to 2015). Least square analysis was used to compute conception rate. The results revealed overall mean conception rate as 46.2 ± 0.51% and it was significantly (p les than 0.01) higher in Beed district, Jersey crossbreed animals, animals having fourth parity, animals exhibiting one rib exposed, early heat and animals inseminated with Indigenous breed bulls semen, first AI sequence number and during the year 2015 compared with respective groups of parameters under study. However, effect of season of AI and economic condition of farmers did not affect conception rate in animals under field conditions of Maharashtra.

The present investigation was carried out to study the effect of foot and mouth disease vaccination on seminal traits of 30 Holstein Friesian (HF) bulls, 3-5 years old, maintained at BAIF Central Research Station, Uruli Kanchan, Pune, India. The study period was from August to September 2013 and semen quality traits were evaluated on each bull maintained under identical feeding and management regimes. A total of 180 semen ejaculates were collected with one ejaculate from each bull at 3 days interval in a week at 15 days before, 15 and 30 days after FMD vaccination. Raksha Ovac vaccine of Indian Immunologicals Ltd. was used for vaccination purpose. Seminal traits like fresh and post thaw sperm motility, sperm concentration, semen volume, live and dead count, plasma membrane integrity were evaluated for all the ejaculates. Data on seminal traits were analysed by using one way ANOVA. Results revealed that vaccination had significant (P<0.05) effect on post thaw motility and highly significant (P<0.01) deleterious effect on HOS test, head and mid piece abnormalities; however no effect was noted on ejaculate volume, sperm concentration, initial motility, viability and tail abnormalities. The observations showed that vaccination alters the seminal traits of pure HF bulls.

Semen characteristics of 97,112 ejaculates from 399 adult bulls of 2 exotic breeds, 2 indigenous breeds and crossbred sub-populations with 50% and 75% of exotic inheritance, and of 3,293 ejaculates from 292 test bulls were analysed. The traits considered were: ejaculate volume, sperm concentration, total number of sperms, initial and post-thaw motility, and a theoretical number of doses produced from each given ejaculate. The objective was to measure the semen production potential of different genetic groups of cattle breeds, to identify factors affecting semen production and quality traits, and to assess the correlation between semen characteristics measure on test and adult bulls. A linear mixed model was used to evaluate the effect of different fixed and random effects. For adult bulls, the first ejaculate of a bull on a particular day and longer collection intervals lead to better characteristics for all the parameters but short collection interval with two ejaculate on particular day lead to a larger number of total semen doses produced without hampering semen quality. Repeatability estimates for semen traits were found to be low to moderate. Low to moderate and negative bull correlation was observed between concentration and volume in all the breed groups while the correlations of bull effects of the two motility traits were comparatively large. The moderate to high correlation for all semen traits between their testing and when they are adult highlights the importance of andrology evaluation in predicting future semen production of AI bulls in order to discard the less productive bulls.

Vitamin A is essential for human health, but current intake levels in many developing countries such as India are too low due to malnutrition. According to the World Health Organization, an estimated 250 million preschool children are vitamin A deficient globally. This number excludes pregnant women and nursing mothers, who are particularly vulnerable. Efforts to improve access to vitamin A are key because supplementation can reduce mortality rates in young children in developing countries by around 23%. Three key genes, BCMO1, BCO2, and SCARB1, have been shown to be associated with the amount of β-carotene (BC) in milk. Whole-genome sequencing reads from the coordinates of these 3 genes in 202 non-Indian cattle (141 Bos taurus, 61 Bos indicus) and 35 non-Indian buffalo (Bubalus bubalis) animals from several breeds were collected from data repositories. The number of SNP detected in the coding regions of these 3 genes ranged from 16 to 26 in the 3 species, with 5 overlapping SNP between B. taurus and B. indicus. All these SNP together with 2 SNP in the upstream part of the gene but already present in dbSNP (https: / / www .ncbi .nlm .nih .gov/ projects/ SNP/) were used to build a custom Sequenom array. Blood for DNA and milk samples for BC were obtained from 2,291 Indian cows of 5 different breeds (Gir, Holstein cross, Jersey Cross, Tharparkar, and Sahiwal) and 2,242 Indian buffaloes (Jafarabadi, Murrah, Pandharpuri, and Surti breeds). The DNA was extracted and genotyped with the Sequenom array. For each individual breed and the combined breeds, SNP with an association that had a P-value <0.3 in the first round of linear analysis were included in a second step of regression analyses to determine allele substitution effects to increase the content of BC in milk. Additionally , an F-test for all SNP within gene was performed with the objective of determining if overall the gene had a significant effect on the content of BC in milk. The analyses were repeated using a Bayesian approach to compare and validate the previous frequentist results. Multiple significant SNP were found using both methodologies with allele substitution effects ranging from 6.21 (3.13) to 9.10 (5.43) µg of BC per 100 mL of milk. Total gene effects exceeded the mean BC value for all breeds with both analysis approaches. The custom panel designed for genes related to BC production demonstrated applicability in genotyping of cattle and buffalo in India and may be used for cattle or buffalo from other developing countries. Moreover, the recommendation of selection for significant specific alleles of some gene markers provides a route to effectively increase the BC content in milk in the Indian cattle and buffalo populations.

Background: The production of higher number of quality semen doses from the indigenous bulls is required to mitigate the issue of declining population of indigenous cattle breeds. To make the semen production more efficient, the knowledge of factors affecting the semen production is of utmost importance. However, studies on different indigenous breeds are scarcely available and very little information is available on effect of ejaculate number, collection interval, semen collector etc. The present investigation was hence focused to study the effect of different management and environmental factors affecting semen production traits in indigenous breeds. Methods: Semen data comprising of 15,435 ejaculates from 60 bulls of 10 indigenous cattle breeds were analysed for semen production traits. Prior to the analysis, data on initial motility was transformed using the arcsine transformation. Least square analysis was carried out using “lm” function while ANOVA (Type III sum of square) and Duncan’s multiple range test were computed using “car” and “agricolae” packages from R statistical software. Result: The overall means for the semen production traits: ejaculate volume, sperm concentration, total sperm, initial motility and total motile sperm were 5.62±0.041 ml, 1.42±0.51× 109/ml, 7.96±0.25× 109/ejaculate, 74.77±0.002% and 5.92± 0.11 × 109/ejaculate, respectively. All traits were significantly affected by order of ejaculate, collection interval, age at collection, breed, semen collector, season and year of collection except collection interval which had no effect on motility. Except initial motility, semen characters showed quadratic pattern over the age. Results of the study would help in suggesting suitable management and breeding plans for semen production traits.