Validation of salivary ferning based estrus identification method in a large population of water buffaloes (Bubalus bubalis) using Foldscope.

Missing an estrus event is an economic problem in buffaloes because of lack of a simple and accurate estrus identification method. Saliva, a non-invasive fluid available every time, showed typical fern-like crystallization patterns at early estrus in buffaloes. However, to implement this salivary ferning based estrus identification method in the field conditions, the present study, for the first time, validated this method in four buffalo population samples (PS) representing four different field scenarios, an organized herd (PS1, 10 buffaloes monitored daily for a year (149 estrus events)), artificial insemination (AI) centers (PS2, 114 buffaloes brought for AI), induced estrus condition (PS3, 44 buffaloes) and farmers' doorsteps (PS4, 275 random buffaloes with unknown reproductive history and no estrous signs). Totally, 582 saliva samples were collected from 443 buffaloes. Salivary smears were observed under a simple microscope and/or a less expensive (< 1USD) paper microscope, Foldscope. On the basis of salivary fern-like patterns, the proportions of estrus identification were significantly different among PS. Specifically, the proportions in the PS1 (0.74, P < 0.0001) and PS4 (0.08, P < 0.05) were significantly higher than their population proportion estimates, 0.5 and zero, respectively. Therefore, this estrus identification method is much useful in the PS1 and PS4, the practical field scenarios requiring an accurate estrus prediction method, compared to the PS2 and PS3. Especially, this method is 91 % confirmatory to detect early estrus in PS4. Therefore, salivary ferning is a useful technique to identify early estrus in buffaloes in the field conditions at farmers' doorsteps.

Apolipoprotein A1 and Ceruloplasmin, the key crosstalk players between the liver and adipose tissue during early postpartum of buffaloes: An in-Silico transcriptome based network analysis.

Physiological transition from pregnancy to lactation during early postpartum creates a high-energy demand in females towards milk production for the survival of new offspring. Ruminant milk contains high amount of lactose, a disaccharide of the glucose and galactose. The milk yield of the animals is also dependent on the lactose amount. In ruminants, glucose is majorly supplied by the liver, which obtains energy from the adipose tissue during energy demands. Therefore, there should be an intricate crosstalk between these two tissues for efficient maintenance of energy for normal physiological needs and milk production. In the present study, we analyzed the transcriptome data previously obtained from the buffalo liver and adipose tissue on the 15th day and 30th day of lactation by using several bioinformatics tools such as PANTHER, Secretome-P, STRING and CPDB. Our analysis identified a total of 24 signaling molecules as interactive players between the liver and adipose tissue during early postpartum of buffaloes. Particularly, the liver appears to interact with the adipose tissue and itself majorly through an endocrine/autocrine molecule, APOA1. Similarly, the adipose tissue appears to interact with the liver and itself majorly through an endocrine/autocrine molecule, CP (ceruloplasmin). The APOA1 and CP may counteract with each other on lipolysis in buffalo adipose tissue because of their common signaling molecules being shared. In addition, the interaction between the adipose derived ceruloplasmin and the liver derived lactoferrin seems to be important during early postpartum of buffaloes. The importance of this interaction needs to be studied in further studies.

Body condition score, parity, shelter cleanliness and male proximity: Highly associated non-genetic factors with post-partum anestrus in Murrah buffalo in field conditions.

Postpartum anestrus (PPA) is a major reproductive problem in buffalo. Although both genetic and non-genetic factors influence the incidence of PPA, identifying associated non-genetic factors would be helpful for effective management of this problem. No systematic study, however, has been conducted to identify the association of non-genetic factors with PPA in buffalo, especially in field conditions. Data for 39 variables affecting postpartum anestrus interval (PPAI), health, nutrition, management and environmental status of the animals were collected on 575 buffalo from 15 villages. Data were analyzed using a general linear model considering PPAI as a dependent variable and the remaining 38 non-genetic parameters as independent variables. The results from the analysis indicated body condition score (BCS) variables, such as pelvic girdle score (P <  0.0001) and girth (P <  0.05), parity (P < 0.0001), shelter cleanliness (P <  0.001), male proximity (P <  0.005), amount and frequency of concentrate feeding during the early postpartum period (P <  0.05), general feeding frequency in a day (P <  0.05) and the treatments with oxytocin at the time of milking to facilitate milk release from the udder (P <  0.05) were associated with PPAI in Murrah buffalo. Plotting the PPAI residuals indicated the possibility of other unexplained factors, including genetics, that could also affect the differences in values for this variables in Murrah buffalo. In conclusion, a greater understanding of associated non-genetic factors with PPAI would help farmers in conducting proper managemental practices for early induction of reproductive cycles following parturition in Murrah buffalo.