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Name of Scholars
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Major Advisor
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Thesis title
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Brief recommendations
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Year of Completion
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Ph.D (AGB)
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Dr.Syed Shanaz
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Prof TAS Ganai
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Exploring association of polymorphism of some fiber related genes with production and quality traits in chanthangi goats.
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Gene based marker selection is possible for improvement of fibre quality attributes.
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2015
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Dr.Feroz-u-din Sheikh
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Prof TAS Ganai
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Study of genetic diversity for enhancing productivity in pashmina goats of ladakh
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Substantial genetic variation and polymorphism could be used for overall genetic improvement of changthangi got for meat and pashmina production
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2015
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Dr.Rukhsana Majid
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Prof N.A.Ganai
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Exploring candidate gene approach for selection of dairy animals for high yield and better quality milk
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Effect of haplotypes significant on all milk production traits under study
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2018
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Dr.Nusrat Nabi
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Prof N.A.Ganai
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inbreeding and its effect on growth and fitness traits in a closed flock of Corriedale sheep in Kashmir
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Signals the time to act to widen the genetic base by introduction of new blood into the flock (ONBS)
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(2018)
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Dr.Mir Shabir
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Prof N.A.Ganai
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Expression profile of certain disease resistance genes coding for some specific interleukins and chemokines with respect to salmonellosis in poultry
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Expression profile pattern of the genes revealed broilers are more susceptible and Vanraja more resistant
Humoral immune response (IgG) more in broiler chicks
Significant haemato-biochemical alterations constituted the clinical indicators for
Salmonella
infection in chicks
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2018)
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Dr.Zaffar Iqbal
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Prof N.A. Ganai
|
Transcriptional profiling of Cashmere hair cycle using RNA seq
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Transcriptional profiling revealed different phase transitions of Pashmina hair cycle : Governed by the molecular mechanisms involving integrin/ chemokine signalling pathways
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(2018)
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Dr.Saba Bukhari
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Prof N.A. Ganai
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Study on genetic variability of growth and reproductive traits of poll Dorset and its crosses under temperate climatic conditions of J & K
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The accurate data recording in a organized farm will improve reliability of the data, help in identification of best animals and consequently improve the accuracy of the gene assisted selection in future breeding programmes of the farm.
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(2019)
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Dr Ambreen Hamadani
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Prof N. A. Ganai
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Exploration of Artificial intelligence for the Prediction of Genetic Merit in Sheep
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ongoing
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