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Training in Pig Artificial Insemination for Districts in Uganda

  • In Sciences
  • 11 Aug 2017 - 2:32pm
  • By Elias Tuhereze
  • 1,421
Students demonstrating at an Internship Exhibition held at MUARIK on 8th August 2014

DIVERSE – PIG Phase II is an ongoing research project in the Department of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University funded by Competitive Grant Scheme, National Agricultural Research Organization. The project is organizing to train fifty (50) AI technicians from 12 districts in pig artificial insemination. The twelve districts are; Masaka, Kayunga, Lira, Gulu, Hoima, Jinja, Mityana, Mpingi, Mbale, Luwero, Soroti and Kiryandongo.  In 2012, Pig artificial insemination started in Wakiso District Uganda, however, there are very few trained personnel in Pig AI, one of the objectives of DIVERSE-PIG Project is to train AI technicians at Sub counties ready to offer AI services to farmers in their communities. The training will be conducted in two cohorts.  A cohort will comprise of 25 participants for effective training.

First cohort training date:              21st - 25 August 2017.

Second cohort training date:        28th - 1st September 2017.

Training venue: Continuing Agricultural Education Centre (CAEC), College of Agricultural & Environmental Sciences

The project team is coordinating with District veterinary officers (DVO) of the above districts to select five (5) persons from different sub counties in each district for the training.

Eligibility: We target persons with Certificate, Diploma in Animal husbandry or veterinary with some experience and interest in the extension of pig AI.


Selected applicants MUST send an application letter through their DVOs and CV to rnatumanya[@]caes.mak.ac.ug and copy to donkugonza[@]gmail.com.

The deadline for the submission of application is 12th August 2017. For more information, send to the Principal investigator DIVESRE-PIG Project E-mail : donkugonza@gmail.com.

Prof. Donald Kugonza (PI)
DIVERSE-PIG Project

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