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Research Initiatives

GCP's crop research is based on seven crop- and crop cluster-based Research Initiatives (RIs). Each RI is led by a Product Delivery Coordinator. At their formation, the RIs were known as Challenge Initiatives (CIs). Access the individual Research Initiative InfoCentres (on the left-hand menu) for further information including research databases, research products, facts and figures, feature stories, blogposts, videos and more.

The seven Research Initiatives

cassava-sky n-palmer ciat-square-small legume diversity ciat web-square-small  maize-diversity x-fonseca cimmyt-web1-square-small  rice-paddy n.palmer ciat-square-small  sorghum s-sridharan-square-small  wheat-field cimmyt-square-small  n.palmer ciat-maize-rice-sorghum-web-square-small
1. Cassava –
Improving
cassava
yield in Africa's
drought-prone
environments
2. Legumes –
Improving
tropical legume
productivity for
marginal
environments
in sub-Saharan
Africa and
South Asia

(beans, chickpeas,
cowpeas, groundnuts)
3. Maize –
Improving
drought
tolerance in
maize for Asia
4. Rice –
Improving
drought
tolerance
in rice
for Africa
5. Sorghum –
Improving
drought
tolerance
in sorghum
for Africa
6. Wheat –
Improving
drought
tolerance
in wheat
for Asia
7. Comparative
genomics
to improve
cereal yields in
high-aluminium
and
low-phosphorous
soils

(maize, rice
& sorghum)

The seventh RI in comparative genomics takes advantage of knowledge in model crops to facilitate gene discovery in other genomes – one of the challenges GCP is supposed to address. The main objective of this RI is to build on the Phase I characterisation of genes identified in Phase I (Alt1 and Pup1) to identify orthologous gene(s) for aluminium tolerance in rice and sorghum, and to improve phosphorus uptake efficiency in sorghum and maize.

All in all, each RI features the following:

  • A first component on the phenotypic characterisation of contrasting and diverse set of germplasm (eg, reference sets, introgression lines, synthetics, etc). The main output will be germplasm, with new elite alleles for agronomic traits, for prebreeding activities.
  • A strong molecular breeding component – the core of RI activities – focusing primarily on marker-assisted recurrent selection, marker-assisted selection mainly for cassava and some of modified backcross-based nested association mapping (BCNAM) populations for sorghum. The main output will be improved germplasm for breeding activities.
  • A strategic data management component to ensure scientists plan for sufficient time and resources to appropriately analyse store and label the data generated during the five years of the second phase. The main output will be a user-friendly dataset accessible to, and useable by, colleagues within and without GCP.
  •  A significant capacity-building component, at both the human and infrastructure level, to ensure that developing-country partners can conduct field experiments, and appropriately manage and analyse project data. The main output will be a network of partners able to use modern breeding tools in a sustainable manner and a set of molecular breeding communities of practice.