| dc.contributor.author | Garrett, K.A. |
| dc.contributor.author | Andersen, Kelsey F. |
| dc.contributor.author | Asche, F. |
| dc.contributor.author | Bowden, R.L. |
| dc.contributor.author | Forbes, G. |
| dc.contributor.author | Kulakow, P.A. |
| dc.contributor.author | Zhou, B. |
| dc.date.accessioned | 2019-12-04T11:10:53Z |
| dc.date.available | 2019-12-04T11:10:53Z |
| dc.date.issued | 2017-10 |
| dc.identifier.citation | Garrett, K.A., Andersen, K.F., Asche, F., Bowden, R.L., Forbes, G.A., Kulakow, P.A. & Zhou, B. (2017). Resistance genes in global crop breeding networks. Phytopathology, 107(10), 1268-1278. |
| dc.identifier.issn | 0031-949X |
| dc.identifier.uri | https://hdl.handle.net/20.500.12478/2292 |
| dc.description | Article purchased |
| dc.description.abstract | Resistance genes are a major tool for managing crop diseases. The networks of crop breeders who exchange resistance genes and deploy them in varieties help to determine the global landscape of resistance and epidemics, an important system for maintaining food security. These networks function as a complex adaptive system, with associated strengths and vulnerabilities, and implications for policies to support resistance gene deployment strategies. Extensions of epidemic network analysis can be used to evaluate the multilayer agricultural networks that support and influence crop breeding networks. Here, we evaluate the general structure of crop breeding networks for cassava, potato, rice, and wheat. All four are clustered due to phytosanitary and intellectual property regulations, and linked through CGIAR hubs. Cassava networks primarily include public breeding groups, whereas others are more mixed. These systems must adapt to global change in climate and land use, the emergence of new diseases, and disruptive breeding technologies. Research priorities to support policy include how best to maintain both diversity and redundancy in the roles played by individual crop breeding groups (public versus private and global versus local), and how best to manage connectivity to optimize resistance gene deployment while avoiding risks to the useful life of resistance genes. |
| dc.description.sponsorship | Bill & Melinda Gates Foundation |
| dc.description.sponsorship | United States Department of Agriculture |
| dc.description.sponsorship | National Science Foundation |
| dc.format.extent | 1268-1278 |
| dc.language.iso | en |
| dc.subject | Gene |
| dc.subject | Food Security |
| dc.subject | Climate Change |
| dc.subject | Crop Breeding |
| dc.subject | Crop Diseases |
| dc.subject | Resistance Genes |
| dc.subject | Crop Breeding Networks |
| dc.subject | Crop Breeder Groups |
| dc.subject | Network |
| dc.title | Resistance genes in global crop breeding networks |
| dc.type | Journal Article |
| dc.description.version | Peer Review |
| cg.contributor.crp | Climate Change, Agriculture and Food Security |
| cg.contributor.crp | Roots, Tubers and Bananas |
| cg.contributor.affiliation | University of Florida |
| cg.contributor.affiliation | Kansas State University |
| cg.contributor.affiliation | International Potato Center |
| cg.contributor.affiliation | International Institute of Tropical Agriculture |
| cg.contributor.affiliation | International Rice Research Institute |
| cg.researchtheme | BIOTECH & PLANT BREEDING |
| cg.isijournal | ISI Journal |
| cg.authorship.types | CGIAR and advanced research institute |
| cg.iitasubject | Crop Systems |
| cg.iitasubject | Food Security |
| cg.iitasubject | Genetic Improvement |
| cg.iitasubject | Plant Breeding |
| cg.iitasubject | Plant Diseases |
| cg.iitasubject | Plant Genetic Resources |
| cg.journal | Phytopathology |
| cg.howpublished | Formally Published |
| cg.accessibilitystatus | Open Access |
| local.dspaceid | 91925 |
| cg.targetaudience | Scientists |
| cg.identifier.doi | http://dx.doi.org/10.1094/phyto-03-17-0082-fi |
