Entity

Time filter

Source Type


Kumari R.,ICAR Research Complex for Eastern Region ICAR RCER | Rank D.N.,Anand Veterinary College | Kumar S.,Anand Veterinary College | Joshi C.G.,Anand Veterinary College | Lal S.V.,Anand Veterinary College
Buffalo Bulletin | Year: 2015

The present study was carried out for the identifiction of cattle and buffalo meat from a mixed meat sample using cyt b gene variability by Real Time PCR. In Real Time PCR, the common forward primer with cattle specific reverse primer showed melting peak 76.2°C on cattle DNA while the common forward primer with buffalo specific reverse primers showed melting peak at 78.2°C on buffalo DNA. Even in duplex PCR it showed only species specific melting peaks in respective species DNA. But when duplex PCR was evaluated on cattle- buffalo mixed DNA template in equal proportion it exhibited two peaks, a major buffalo specific and a minor cattle specific, merging into one broader peak at 78.2°C. However it was possible to know presence of mixed DNA by Real Time PCR duplex primers. The duplex Real Time PCR showed only a single broader peak at 78.2°C at 1: 10 and all further ratios. Hence all independent cattle specific Real Time PCR was run on mixed DNA which produced cattle specific melting peak at 76.2°C upto 1:1000 dilutions. Thus, it was possible to detect and differentiate cattle meat mixed in buffalo meat upto 1:1000 fraction i.e. 9 pg of cattle DNA adulterated in buffalo DNA by running a duplex PCR followed by cattle specific Real Time PCR. Duplex Real Time PCR did not produce any amplification and melting peaks on DNA templates from sheep, goat and chicken. Thus, Real Time PCR was found to be successful in differentiating cattle and buffalo mixed meat samples. © 2015, Kasetsart University. All rights reserved. Source


Manea M.,ICAR Research Complex for Eastern Region ICAR RCER | Sen A.,ICAR Research Complex for Eastern Region ICAR RCER | Kumar A.,ICAR Research Complex for Eastern Region ICAR RCER | Upadhyay P.K.,ICAR Research Complex for Eastern Region ICAR RCER | And 3 more authors.
Indian Journal of Agronomy | Year: 2015

A field trial was conducted at Varanasi during 2010–11 and 2011–12, to study the effect of fertility levels and planting methods on growth, yield, nutrient uptake and economics of baby corn (Zea mays L.) and its residual biomass incorporation effect on sorghum [Sorghum bicolor (L.) Moench]. The experiment was carried out in a spiltplot design with 4 replications. The main plots were allocated with fertility levels F0 (no fertilizer as control), F1 (75, 19.64, 37.35, 20 and 5), F2 (150, 39.28, 74.71, 40 and 10) and F3 (225, 46.76, 112.06, 60 and 15) kg/ha of N, P, K, S and Zn and sub-plots with combinations of 2 planting methods (flat bed and raised bed) and 2 varieties viz; (‘Pro-Agro 4212’ and ‘Sweet Corn Sugar 75’). Application of 225, 46.76, 112.06, 60 and 15 kg/ha of N, P, K, S and Zn fertility level significantly increased plant growth, yield, yield attributes and nutrient removal over rest of the treatments. Overall, this particular fertility level registered 55.0% more yield (without husk) than control. Among the sub-plot treatments raised bed planting recorded the highest plant height, leaf-area Index, dry-matter production, nutrient removal and registered 12.5% more baby corn yield (without husk) than flat bed, while ‘Pro-Agro 4212’ also recorded the same and registered 18.8% more baby corn yield (without husk) than Sweet Corn ‘Sugar 75’. Further, 225, 46.76, 112.06, 60 and 15 kg/ha fertility levels applied to previous crop increased the sorghum grain yield by (33.3%) over the control. © 2015 Indian Society of Agronomy. All rights reserved. Source

Discover hidden collaborations