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MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
MENARID: Livestock Impacts Study
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MENARID: Livestock Impacts Study

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  • 1. Livestock Impact Study Mr. Mamoon Al Adaileh GEF MENARID Coordinator, Agricultural Resources Management Project Phase II
  • 2. Background of the Study • Issues concerning production and profitability of livestock farmers are an important issue in Jordan and the MENA region • This presented an opportunity to collaborate with ICARDA • A survey was prepared and conducted by ARMPPII and ICARDA
  • 3. Collaboration • ARMPPII staff collected and entered survey data • ICARDA analysed the data • Meetings were held with ICARDA staff and ARMPPII staff to discuss and translate the collected data • Survey participants were directly in the field
  • 4. Goals of the Study • To assess the impact of project activities on production and profitability of livestock farmers in the ARMPPII project area • To gain knowledge for planning future activities (e.g. education in new technologies, processing of dairy products etc.) • To continue supporting improvements in farm production and livelihoods
  • 5. Methodology • Previous 2009 ARMPPII survey was reviewed and adjusted by ARMPPII and ICARDA staff • 186 farmers were surveyed in 5 units in Karak, Ma’an and Tafila governorates of Jordan • Survey data was collected, reviewed and entered into a database by ARMPPII • Data was analyzed by ICARDA • 130 participants matched from both surveys in 2009 and 2014, and results were compared and analyzed • 2014 data for 186 participants was analyzed
  • 6. Data Collected in the Questionnaire Types of Data Collected Example Questions 1. Breeder and Household Source of income, income before implementing herd activity, time engaged in herd management, do you graze rangelands (if yes, the period (days)), do you own a permanent farm, have you benefited from previous activities, do you want to benefit from future activities, types of activities desired (feed, health, demonstration, extension) 2. Herd Herd numbers (rams, ewes, female lambs, male lambs, he-goats, she-goats, female kids, male kids), do you bring rams/he-goats from outside the herd to increase genetics, how often that new rams/he-goats are brought (each year, each 2 years, more than 2 years) 3. Management and Health Have you received information/courses in herd management and/or health (if yes, source of information), do you wish to receive information/courses in herd management and/or health (if yes, source of information), do you keep herd records, vaccines given, do you control parasites, does the herd suffer from mastitis (if yes, no. of cases) 4. Feed Do you crush barley, do you cultivate land for grazing (if yes, the size of the area cultivated), quantities of barley and bran fed at different stages (pregnancy, lactation, drought, joining) 5. Production Did you sell stock, milk and/or milk products in the previous year, quantities sold and consumed and price per unit of each product (milk, jameed, ghee, newborn lambs, fattened lambs, cull stock), quantities of milk per head before and after weaning, average milking period after weaning, do your ewes/she-goats give birth more than once per year, do you want your ewes/she-goats give birth more than once per year
  • 7. Impact of Assessment • Comparisons between 2009 and 2014 data provided indicators of progress of production and profitability • Comparisons between multiple 2014 survey questions showed innovative individuals
  • 8. Production • Mean herd size has increased by 59.3 head since 2009 • In 2009 74% of households sold milk and/or milk products compared with 98% in 2014 • Milk and jameed production has more than doubled • Ghee production has tripled 0 40 80 120 160 200 2014 2009 Head(sheepandgoats) Total Herd Size 0 100 200 300 400 500 600 700 800 900 1000 Total Milk Production (kg) Total Jameed Production (lb) Total Ghee Production (kg) 2014 2009
  • 9. Farming Systems Question 2014 2009 % Yes % No % Yes % No Graze rangelands 81 19 90 10 Crush barley 66 34 39 61 Cultivate land for grazing 75 25 86 14 • Since 2009 rangeland grazing has decreased, crushing barley has increased, and cultivation of land for grazing has decreased • This shows the gradual change from extensive livestock grazing systems to more intensive, higher producing fixed farm systems, relying on grain feed
  • 10. Adaptions to Technologies • In 2014 48% of farmers are using reproductive technologies to increase twinning rates (e.g. sponges, hormones) compared with 21% in 2009 • Main reasons for using technologies were to increase income from selling stock and to increase herd size • Main reasons against using technologies were fears for increased mortality and risks to herd health • “Other” reasons against were mostly because it was believed to be ‘haram’ 0 10 20 30 40 50 60 70 80 1: Increased income from selling newborns 2: Increased income from increased milk production 3: Increase herd numbers (reputation and security) 4: Advised by experts 5: Other Reasons for Technology Use 0 5 10 15 20 25 30 35 40 1: Fear of increased mortality risks for twins 2: Fear of increased risks to herd health 3: Advised against using technologies by experts 4: Increased costs (technologies and feed) 5: Other Reasons Against Technology Use
  • 11. Activity Beneficiaries • 20% of farmers had benefited from project activities in 2009 • Now 48% have benefited from project activities • Order of most to least desired project activities has remained the same • Most desired project activity is supply of feed 0% 20% 40% 60% 80% 100% 2014 2009 Farmers benefited from project activities No Yes 0 20 40 60 80 100 120 140 1. Feed 2. Health 3. Demonstration on Herd 4. Extension Desired Project Activities 2014 2009
  • 12. Challenges Faced • Accuracy of some data was unclear • Factors contributing to this were farmers not keeping records, farmers measuring products in various units • Translation of data from Arabic to English
  • 13. Solutions • Obvious outliers were removed from data • Meetings were organised for translating data • Training survey team to recognise incorrect data
  • 14. Future Beneficiaries • Training survey teams helped improve data credibility

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