GCP Blog Connect with us GCP on Facebook Follow GCP on Twitter GCP on LinkedIn Subscribe to GCP Newsletter Subscribe to our RSS feeds

Product Catalogue

The Product Catalogue is an evolving  compilation of  a diverse array of  products derived from tangible outputs of projects supported in whole or in part by the CGIAR Generation Challenge Programme.  As projects mature, more products are added. Products are listed under the specific project crop or ‘Global’.   Under each crop, you will find diverse types of products, such as  germplasm, markers, genomics resources and informatics applications.  ‘Global’ includes products  applicable to several or all crops and generally includes informatics tools and learning materials. We consider all catalogued products as useful. However, our user base is highly varied and includes upstream as well as downstream plant scientists. Not all products will be of direct interest to breeders. Consequently, a BUL (Breeding Use Level) rating has been provided to indicate the direct usefulness of products to breeders:

Breeding Use Levels
BUL Description
1 Ready to use for breeding
(I.e. predictive markers, germplasm of acceptable agronomic type containing a well-defined and characterized trait, and etc.).
2 Qualified use for breeding
(i.e germplasm in which trait genetics have not been well defined or markers that may be informative but not necessarily predictive).
3 Indirectly useful for breeding
(i.e. genomic resources from which downstream products for breeding are developed and many informatics applications).
4 Not developed for breeding, per se
(i.e. miscellaneous information as socio-economic reports).

How to use this table:

  • With the exception of BUL, you can sort by column by clickling on the title of each column
  • You can search for any term, word, or keyword by typing it into the search box above the table
  • You can export data by clicking on the CSV link on the top left-hand side of this page

Product Catalogue

  •  
COM_FABRIK_ORDER

Crop|Area

COM_FABRIK_ORDERProduct COM_FABRIK_ORDER

Type

COM_FABRIK_ORDERDescription COM_FABRIK_ORDERAccess BUL
Rice Rice Blast resistance markers for rice Informative Markers Gene-specific molecular markers for candidate defence genes associated with resistance to rice blast

1) Thirty-three markers for 11 defence response candidate genes

2) Thirty SSR markers co-localizing with defence response genes were identified

3)Four oxa... (read more)
Contact R. Nelson,Cornell University, Ithaca, NY USA

jmn99@cornell.edu
Rice Molecular markers linked to field and isolate-specific blast resistance genes Informative Markers Three SSR markers linked to field blast resistance at the IRRI blast nursery, two SSR markers linked to field blast resistance in Sukabumi, one SSR marker linked to field blast resistance in Lampung, four SSR markers linked to resistance to blast isolate 033, three SSR markers linked to resistance t... (read more) Contact R. Nelson,Cornell University, Ithaca, NY USA

jmn99@cornell.edu
Rice QTL for Aluminum tolerance in Rice Informative Markers Markers for major rice Al tolerance QTL with major effects on tolerance populations and to use for breeding for improved Al tolerance. L. Kochian, USDA/ARS, Cornell University, Ithaca, NY USA

lvk1@cornell.edu
Rice Pup1, a major QTL for phosphorus uptake in rice Informative Markers A validated major QTL for phosphate uptake in rice (PUP1) Sigrid Heuer, International Rice Research Institute (IRRI), Los Banos, The Philippines

s.heuer@cgiar.org
Rice Markers for resistance to Bacterial Leaf Blight Informative Markers Informative markers for recessive resistance previously identified in Asian strain studies and found resistant as well to African strains of Bacterial Leaf Blight in rice (Oryzae sativa) Contact Marie Noelle Ndjiondjop, AfricaRice, Benin

M.NDJIONDJOP@cgiar.org
Rice Molecular markers for the phosphorus uptake QTL, Pup1, in rice. Informative Markers A set of foreground markers for the phosphorus uptake QTL, Pup1, in rice Contact S. Heuer, IRRI, Los Banos, Philippines

S.HEUER@cgiar.org
Rice Yield sensitivity module for a crop modeling system for cereals Publication A new module developed in APSIM to account for yield sensitivity near flowering and formalize genetic control similarities of leaf and silk expansion in well-watered and stressed treatments; Ecomeristem model adapted to simulate cereals behaviour under drought conditions. D. Luquet, International Center for Research for Agricultural Development (CIRAD), Montpellier, France

delphine.luquet@cirad.fr
Rice A strategy for detection of deleted regions in rice mutants Publication Three methods tested for detection and characterization of deletion mutants. See on-line publication of technique: Diaz, G., M. Ryba, R. Nelson, H. Leung, J. Leach*. 2007. Detection of deletion mutants in rice via overgo hybridization onto membrane spotted arrays. Plant Mol. Biol. Rep. in press. (... (read more) Contact R. Nelson,Cornell University, Ithaca, NY USA

jmn99@cornell.edu
Rice Training materials: Marker Assisted Selection (MAS) Training Materials The use of MAS in rice for introgressing useful traits (quality, disease resistance) in well-adopted drought tolerant background http://dna.kps.ku.ac.th/
Sorghum AltSB: a major sorghum Al tolerance gene Gene Incontrovertible evidence that novel Al tolerance genes exist in the sorghum genome was obtained. Elite Al tolerant sorghum hybrids developed from the breeding program; AltSB confirmed as a major aluminum tolerance gene and cloned. As well, 6 preliminary candidate genes for maize Al tolerance vi... (read more) Contact Jurandir Magalhaes, EMBRPA (Maize and Sorghum), Brazil.

jurandir@cnpms.embrapa.br.
Sorghum A microsatellite kit for the GCP sorghum reference germplasm set Genomic Resources Reference kit of 48 SSRs, with sequence list and protocol, germplasm checks, and allele sizes of microsats for those checks Contact Jean-Francois Rami, CIRAD, Montpellier France
Sorghum A validated Sorghum germplasm reference collection Genomic Resources The Sorghum Reference Set is composed of a core set of accessions representing the genetic diversity of the entirety of the ICRISAT germplasm bank collection. The reference set represents a critical resource for plant scientists to study new adaptative traits, discover new favorable alleles and also... (read more) The International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) Germplasm Bank
Sorghum A sorghum germplasm reference set Germplasm A sorghum reference set of 384 accessions derived from an ICRISAT sorghum composite set of 3384 accessions genotyped with 41 SSR Contact H. Upadaya, International Center for Research in the Semi-Arid Tropics (ICRISAT), Patancheru, India
Wheat A microsatellite kit for the GCP wheat reference germplasm set representive of the diversity of the CIMMYT wheat collection Genomic Resources A reference kit of 35 SSRs giving maximum polymorphism across a subset of wheat lines, with a sequence list and protocol, germplasm checks, and allele sizes of microsats for those checks Contact Susanne Dreisigacker, CIMMYT, Mexico

s.dreisigacker@cgiar.org

Also found in following publication: http://en.cnki.com.cn/Article_en/CJFDTOTAL-XBZW200612000.htm
Wheat Database for a CIMMYT wheat composite set Genomic Resources A database of a wheat composite set of 2600 accessions genotyped with 49 SSRs and composed of 1) bread wheat cultivars, breeding lines, and landraces; 2) durum wheat cultivars and landraces; and 3) wild relatives of hexaploid, tetraploid, and diploid wheats from around the world. Contact S. dreisigacker, International Center for Maize and Wheat Improvement (CIMMYT) El Batan, Mexico

s.dreisigacker@cgiar.org
Wheat QTLs for yield, drought adaptive and agronomic traits Informative Markers Markers described for QTLs associated with yield, drought adaptive (GC, CT, CID and SSC) and agronomic traits discriminated from 800 genotypes of spring wheat CIMMYT IWIS3 database. Contact Matthew Reynolds, Wheat Program, CIMMYT, Mexico

m.reynolds@cgiar.org
Wheat Methodologies for large scale phenotyping in spring wheat Protocol Novel large-scale phenotyping methodologies for drought adaptive traits in spring wheat CIMMYT IWIS3 database. Contact Matthew Reynolds, Wheat Program, CIMMYT, Mexico

m.reynolds@cgiar.org

Mullan DJ and Reynolds MP (2010) Quantifying Genetic Effects of Ground Cover on Soil Water Evaporation using Digital Imaging. Functional Plant Biology. 37: 703-712
Wheat Crossing plan for developing spring wheat populations with negligible diversity for flowering Protocol A crossing plan among complementary lines to develop spring wheat populations with negligible diversity for flowering across a range of environments. CIMMYT IWIS3 database. contact Matthew Reynolds, Wheat Program, CIMMYT, Mexico

m.reynolds@cgiar.org
Wheat Database for phenotypic expression in spring wheat Publication A database for 800 genotypes of the phenotypic expression for ground cover (GC), canopy temperature (CT), carbon isotope discrimination (CID), soluble stem carbohydrates (SSC) and yield and agronomic traits CIMMYT IWIS3 database. Contact Matthew Reynolds, Wheat Program, CIMMYT, Mexico

m.reynolds@cgiar.org
Wheat Report on estimation of drought-adaptive traits Publication Analysis and report identifying the degree to which a range of drought-adaptive traits can be reliable estimated in controlled environoments CIMMYT IWIS3 database; Contact Matthew Reynolds, Wheat Program, CIMMYT, Mexico

m.reynolds@cgiar.org