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

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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.