MAIZE FP3 Synergies with other FPs
Jan 24, 2017
Strengthening Interface between Breeding, Seed Systems and
Socioeconomics teams
Fisher et al. (2015) Climate Change
Abate et al. (2016) Food Security
Tesfaye et al. (2016) International Food and Agribusiness Management Review
FP1 FP3
Strengthening Maize Seed Systems
Capacity Development of NPPO Teams in ESA on MLN Diagnostics and Surveillance
Standardized geo-referenced field surveys across target countries
Field to database now possible in near real-time
FP1 FP3
USAID Project on MLN Diagnostics & Management
Learning from the Wheat Rust TrackerMLN Toolbox and Web Portal
MLN Diagnostics & Management Project Team
Beta+ version available: mln.cimmyt.org
Developed in collaboration with Aarhus University, Denmark (Jens G. Hansen & Poul Lassen)
FP1 FP3
ProVit A vs. White Maize Preferences
Prefer orange Sadza Better taste and flavour Better smell Better texture0
10
20
30
40
50
60
70
80
90
Perc
enta
ge o
f far
mer
s
Vongai Kandiwa
FP1 FP3
FPs AchievementsFP1
FP2 Demonstrated the potential effectiveness of MARS for developing improved lines from elite x elite crosses
Created appropriate populations to generate relevant markers Improvement of resistance to Striga hermonthica Improvement of resistance to MSV
Used markers for systematic introgression of diverse exotic lines to broaden genetic base
Refined existing heterotic patterns using markers
FP1 FP3
Enhancing the Performance of Stress-tolerant Maize Varieties
Demonstrated the suitability and effectiveness of combining recently released or pipeline varieties with A bio-herbicide for Striga control A bio-control agent (aflasafe) for minimizing aflatoxin
contamination Input-use and cropping systems
Recently released varieties used for parametization and generation of cultivar coefficients to simulate potential productivity gains under varying growing conditions
Source: Abebe Menkir (IITA)
MAIZE Product Development Pipeline
MarkerDiscovery
& Validation
MarkerDeployment
Line Development
ProductDevelopment
SeedSystems
FP2 FP3
Euphytica (2016) 208:285–297.
Crop Science (2015) 55: 154-163.
FP2 FP3
Crop Science (2016) 56: 344-353.
FP2 FP4UAV-based monitoring of maize crop growth under different management practices
Kefauver et al. in prep
Hlatywayo et al. submitted
Identifying G x E x M interactions to target stress tolerant improved maize varieties
FP3 FP4
Potential areas for better synergiesFPs Synergies with FP3 in Phase-IIFP1 Support marker-based assessment of impact of MAIZE germplasm/cultivars
within countries and across regions Participatory assessment of the suitability of improved MAIZE cultivars in relevant
value chains Multi-environment data for strategic foresight and targeting of MAIZE varieties
FP2 Mainstreaming DH, precision phenotyping tools, mechanization of breeding operations, molecular markers and genomic prediction, breeding informatics and decision support tools in MAIZE breeding
Incorporate novel sources of genes for improving traits of high priority
FP4 Enhanced integration of climate-resilient maize varieties in sustainable intensification efforts, and help reduce the yield gaps
Increasing cropping intensity through integration of productive maize cultivars (varying maturity classes)
Application of remote sensing in: a) maize disease assessment over relevant landscapes, and b) yield quantification to assist seed producers in evaluating seed quantities prior to harvest development of marketing plans.