SLIDE 1
FINALS OF THE 3rd AFRICA-WIDE WOMEN AND YOUNG PROFESSIONALS IN SCIENCE COMPETITIONS 15-16 July 2013
6th Africa Agriculture Science Week and FARA General Assembly Accra, Ghana
SLIDE 2
- S.M. Kabiri, C. Ebong, P. Kudsk, S.K. Mathiassen, P. Lusembo,
- G. S. Byenkya, H. Kasigwa and R. Kabanyoro
SLIDE 3 Importance of rangelands in Uganda
- Used for grazing wild and domestic
herbivores, providing the cheapest source of nutrients
- Supports 90% of the national cattle
population.
- 85% of total milk and beef is
produced from indigenous cattle fed on natural rangeland pasture.
- Pastoralism contributes 8% of
Uganda’s GDP The cattle corridor
84,000 Km2 of Uganda’s 236,000 Km2
SLIDE 4 Cymbopogon afronardus
- C. afronardus is an invasive noxious weed that is rapidly
invading the rangelands
It is a tall tufted perennial grass that naturally establishes
from seed
It grows fast and builds a thick, course vegetation that
suppresses other plant species.
Its leaves are rough and contain aromatic oils that make
it unpalatable to cattle and wild herbivores
Other Cymbopogon spp. are known to contain
allelopathic properties
SLIDE 5
Cattle desperately searching for pasture under Cymbopogon tufts
SLIDE 6 Objectives of the Study
Cymbopogon continues to spread rapidly and poses a threat to the rangelands and yet its current magnitude has not yet been established. i. Determine the current invasion in acreage of Cymbopogon in the Ugandan rangelands
- ii. Evaluate landscape characteristics it prefers and the
ecological impact it has on threatened vegetation
- iii. Identify allelopathic properties of Cymbopogon oil
extracts
SLIDE 7 Study Area
An area 4100 Km2 Cattle ranches 535,000 livestock Lake Mburo National Game park Wild grazers; zebras, antelopes, impalas and buffaloes Dense Cymbopogon coverage
SLIDE 8 Obj 1: Spatial distribution of Cymbopogon
Landsat Image, 5th June 2009, Source: Global land cover facility
(GLCF), www.landcover.org
Remote sensing data Ground truthing 85-100% Cymbopogon Other vegetation
SLIDE 9 Evaluation of spectral signatures
Cymbopogon Grasslands Reflectance Landsat bands Forests
values at the mid infra- red for Cymbopogon
content in foliage
- distinguished from
- ther vegetation
Landsat spectral bands
SLIDE 10
2500 km2 61% of Kiruhura 9300 km2 11% of Uganda rangelands
Spatial distribution maps-83% accuracy
SLIDE 11 FAO Africover vegetation map for Mbarara region Kiruhura Cymbopogon cover
250 m digital terrain model
Obj.2 Landscape characteristics and Ecological impact
SLIDE 12 Landscape characteristics
Cymbopogon had 76 % distribution
SLIDE 13
Cymbopogon preference for open canopy Savannah and steep slopes
SLIDE 14 Rangeland 1 g Cymbopogon leaf, 10 ml ethanol (70% v/v). Volatile oil extract 0.6 1.2 2.4 4.8 6% Lolium perenne Cyperus rotundus Petri dishes (5-7 days) 15 days Per 100 ml, H20
- Obj. 3 Allelopathic properties of Cymbopogon
SLIDE 15 20 40 60 80 100 0.6 1.2 2.4 4.8 6 G %
Germination %
100 200 300 400 500 0.6 1.2 2.4 4.8 6 Vigour index
Vigour index
1 2 3 4 5 0.6 1.2 2.4 4.8 6 shoot length (cm) Cymbopogon extact dilution (%v/v)
Shoot length
1 2 3 4 5 0.6 1.2 2.4 4.8 6 root length (cm) Cymbopogon extract dilution (% v/v)
Root length
Allelopathy to L. perenne and C. rotundus
a a a a a a a a b b b b a b b b c c d d c c c d b c d c
Potential for bio-herbicide formulations
SLIDE 16
Communication strategy
Objective To raise awareness that Cymbopogon is a dangerous weed Key message Cymbopogon afronardus is rapidly increasing and is threatening ecosystem services provided by the rangelands
SLIDE 17
Leaflets
GIS maps
SLIDE 18
- GIS maps
- Leaflets in local
languages Pastoralists Farmers Extension Local government Rangeland Experts Policy makers
- Set policy guidelines
- Facilitate finance for research
to design control management strategies
Stakeholders targeted
SLIDE 19
Impact
Quantified the state of the environment of Uganda’s rangelands in regard to invasiveness of Cymbopogon. Established a basis for monitoring future spread. Will aid in drafting the National invasive species strategy, action plan and policy guidelines. “Risk Analysis Procedures, Early Detection and Rapid Response Systems for quarantine authorities”.
SLIDE 20 Acknowledgments
- Deepest gratefulness to CTA,
FARA, IFS, ANAFE, RUFORUM, NPCA, AGRA for organising and sponsoring this Science competition
- Heartfelt gratitude to ENDURE,
DANIDA, LSRP, ASPS, GOU, NARO and IDA of the World Bank for funding this research.
- Earnest appreciation to presiding
judges, Prof. Ameenah Gurib- Fakim, Ms Marjorie Niyitegeka Kyomuhendo , Dr Demba Farba Mbaye , Prof. Robert Kariuki Obura, Prof. Abdoulaye Gouro
Thank you for your attention