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ICAR-IASRI Newsletter, January- March, 2015

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Title ICAR-IASRI Newsletter, January- March, 2015
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Creator Director ICAR-IASRI
 
Subject Agricultural Statistics
Design of Experiments
Sample Surveys
Statistical Genetics
Forecasting Techniques
Bioinformatics
Computer Applications
 
Description Not Available
A quantitative assessment of harvest and post-harvest losses for 45 major agricultural
crops / commodities in 120 districts of the country was made using stratified multistage
random sampling design. A comparison of losses between 2013-14 vis-à-vis 2005-
2007 was made for various food grains, oilseeds, fruits and vegetables.
Development of resistance to chemical antibiotics in cattle is unsolved till date. Anti
Microbial Peptides (AMPs) are considered as alternative to chemical antibiotics.
Different machine learning techniques such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs)
have been applied to predict AMPs in cattle. SVMs with different kernels have exhibited high accuracy of prediction and
thus were implemented on a web server for classification/prediction of novel AMPs of cattle. The developed server is made
available in public domain for ready use by the application scientists.
Phenomics is another emerging area where the institute scientists in collaboration with ICAR-IARI and IIT-Delhi have developed a phenome data management system with several analysis modules meant for estimation of physical and biochemical traits of rice under moisture deficit and low temperature stress tolerance. A non-destructive approach involving regression methodology has been developed for estimation of leaf area and chlorophyll content of rice seedlings under pot culture conditions through image analysis. An online software “Leaf Area Estimator” has been developed and deployed on the production server for ready use by the experimental biologists.
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Date 2017-10-10T06:35:56Z
2017-10-10T06:35:56Z
2015-04-01
 
Type News Letter
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/5407
 
Language English
 
Relation Not Available;
 
Publisher ICAR-IASRI, Library Avenue, New Delhi