agricultural transformation in the drylands
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Agricultural transformation in the drylands- role of Data & Disruptive technologies Wayne Powell Ian Mackay Joram Mwacharo Appolinaire Djikeng Alan Tollervey John Hickey Fertile Crescent & Domestication of Crops


  1. Agricultural transformation in the drylands- role of Data & Disruptive technologies • Wayne Powell • Ian Mackay • Joram Mwacharo • Appolinaire Djikeng • Alan Tollervey • John Hickey

  2. Fertile Crescent & Domestication of Crops and Ruminants

  3. Food insecurity and civil unrest

  4. Farming: the lowest intensity of IT in any economic sector

  5. • Data revolution and other disruptive technologies – to improve resilience and productivity (crops and livestock) o Large scale recording – data analysis for predictions of traits, … An agricultural o Real time/ongoing support to farmers for decision making on individual animals transformation / • Data revolution and other disruptive technologies – for assets management and market access revolution in the o Farmers-led identification of animals, stock management, linkages with buyers/sellers drylands – is • Participatory approach – strong community engagements possible! o Community-based schemes (community-based livestock breeding programmes) o Introduction of tools to support genetic improvement, support interventions in animal health, …

  6. Decoupling selection from phenotyping

  7. Origin Specific Genomic Selection: A Simple Process To Optimise the Favourable Contribution of Parents to Progeny

  8. From Farmer Centric to Animal (Cattle, Camels, Small ruminants etc.) Centric: The next revolution in Livestock Industry Smart/Satellite Collars: An RFID tag that monitors Bowel monitors/sensors: A bolus type of animal movement, temperature and feeding habits. The sensor that is inserted into the animal’s sensor can be used to detect health problems and to rumen to monitor acidity levels to help tell when an animal is on heat so that insemination can detect digestive problems and feed happen at an optimum time utilization efficiency Tail movements: A birthing sensor attached to the tail to Tail measure tail Smart movements movements triggered collars/Necklace by labour contractions and sends a farmer an Bowel 3D Digital and thermal cameras: SMS alert Facial recognition and measures monitors/Sensors approximately two or the weights and muscle mass of so hours before a cow animals so that they are sold at is due to calve. Udder their most beefiness. Records body temperature to monitor Pedometer sensors health/heat stress status Pedometers: Animals typically increase physical activities as they Udder sensors: Automated come into oestrus. The pedometer milking systems/robots can alerts farmers to the best time for be equipped with sensors to insemination monitor the quality of the milk and check for signs of mastitis

  9. An example of pedometers and detection of oestrus Servers Data analytics centers Livestock farm Increased walking detected in cow to be coming into oestrus Incoming data server Receiver station Internet Database server Private IT company provides server Web server operation and maintenance Pedometers transmit hourly updates Farmer Notification sent to farmers devises Farmer cooperatives, industry associations, processors, markets etc. Aggregate data for multiple farmers is used to prepare production forecasts Inseminations Farmer checks details on website

  10. CBBPs offer infrastructure for the application of genomics in LMICs Precision breeding (Genomic selection) CBBP Structures Gene discovery Recorded traits Nucleus: Base flocks: Nucleus: 1) Open-centralized nucleus Prolificacy/production • Genotypes • Genotypes • Genotype • Phenotypes • Phenotype s ss Prediction algorithms: Algorithm Genomic Breeding Application GWAS/Selection Value = 2) Closed-centralized nucleus W 1 X 1 +W 2 X 2 +W 3 X 3 …. Adaptation/resilience signature analysis Superior breeders: 3) Open-dispersed nucleus Precision breeding (Genome editing) Disease/parasite resistance Prolific Edit non-prolific animals animals

  11. Centre for Data Driven Breeding Research, Translation, Training

  12. The CDDB Development Agency for Drylands • A network broker • Connect the public and private sector • Into non traditional areas of science from the academic community • Our focus is on impactful research, translation and training • Training • MSc, PhD and CPD program to underpin LMIC breeding programs • Research • To underpin LMIC breeding programs • To optimise donor investments in breeding • Translation • We aim to be the quantitative genetics back office to for public good breeding programs in LMICs

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