| dc.contributor.author | Wolfe, M.D. |
| dc.contributor.author | Carpio, D.P. del |
| dc.contributor.author | Alabi, O. |
| dc.contributor.author | Ezenwaka, L.C. |
| dc.contributor.author | Ikeogu, Ugochukwu N. |
| dc.contributor.author | Kayondo, I.S. |
| dc.contributor.author | Lozano, R. |
| dc.contributor.author | Okeke, U.G. |
| dc.contributor.author | Ozimati, A.A. |
| dc.contributor.author | Williams, E. |
| dc.contributor.author | Egesi, Chiedozie N. |
| dc.contributor.author | Kawuki, Robert S. |
| dc.contributor.author | Kulakow, P.A. |
| dc.contributor.author | Rabbi, Ismail Y |
| dc.contributor.author | Jannink, Jean-Luc |
| dc.date.accessioned | 2019-12-04T11:10:55Z |
| dc.date.available | 2019-12-04T11:10:55Z |
| dc.date.issued | 2017 |
| dc.identifier.citation | Wolfe, M.D., Del Carpio, D.P., Alabi, O., Ezenwaka, L.C., Ikeogu, U.N., Kayondo, I.S., ... & Jannink, J.L. (2017). Prospects for genomic selection in cassava breeding. The Plant Genome, 10(3), 1-19. |
| dc.identifier.issn | 1940-3372 |
| dc.identifier.uri | https://hdl.handle.net/20.500.12478/2301 |
| dc.description | Article purchased; Published online: 28 Sept 2017 |
| dc.description.abstract | Cassava (Manihot esculenta Crantz) is a clonally propagated staple food crop in the tropics. Genomic selection (GS) has been implemented at three breeding institutions in Africa to reduce cycle times. Initial studies provided promising estimates of predictive abilities. Here, we expand on previous analyses by assessing the accuracy of seven prediction models for seven traits in three prediction scenarios: cross-validation within populations, cross-population prediction and cross-generation prediction. We also evaluated the impact of increasing the training population (TP) size by phenotyping progenies selected either at random or with a genetic algorithm. Cross-validation results were mostly consistent across programs, with nonadditive models predicting of 10% better on average. Cross-population accuracy was generally low (mean = 0.18) but prediction of cassava mosaic disease increased up to 57% in one Nigerian population when data from another related population were combined. Accuracy across generations was poorer than within-generation accuracy, as expected, but accuracy for dry matter content and mosaic disease severity should be sufficient for rapid-cycling GS. Selection of a prediction model made some difference across generations, but increasing TP size was more important. With a genetic algorithm, selection of one-third of progeny could achieve an accuracy equivalent to phenotyping all progeny. We are in the early stages of GS for this crop but the results are promising for some traits. General guidelines that are emerging are that TPs need to continue to grow but phenotyping can be done on a cleverly selected subset of individuals, reducing the overall phenotyping burden. |
| dc.description.sponsorship | Bill & Melinda Gates Foundation |
| dc.description.sponsorship | Department for International Development, United Kingdom |
| dc.format.extent | 1-19 |
| dc.language.iso | en |
| dc.subject | Cassava |
| dc.subject | Manihot Esculenta |
| dc.subject | Genomics |
| dc.subject | Germplasm |
| dc.subject | Phenotyped Traits |
| dc.subject | Breeding |
| dc.title | Prospects for Genomic Selection in Cassava Breeding |
| dc.type | Journal Article |
| dc.description.version | Peer Review |
| cg.contributor.crp | Roots, Tubers and Bananas |
| cg.contributor.affiliation | Cornell University |
| cg.contributor.affiliation | International Institute of Tropical Agriculture |
| cg.contributor.affiliation | National Root Crops Research Institute, Nigeria |
| cg.contributor.affiliation | National Crops Resources Research Institute, Uganda |
| cg.contributor.affiliation | United States Department of Agriculture |
| cg.coverage.region | Acp |
| cg.coverage.region | Africa |
| cg.coverage.region | East Africa |
| cg.coverage.region | South America |
| cg.coverage.region | West Africa |
| cg.coverage.country | Colombia |
| cg.coverage.country | Nigeria |
| cg.coverage.country | Uganda |
| cg.researchtheme | BIOTECH & PLANT BREEDING |
| cg.isijournal | ISI Journal |
| cg.authorship.types | CGIAR and developing country institute |
| cg.iitasubject | Cassava |
| cg.iitasubject | Genetic Improvement |
| cg.iitasubject | Plant Breeding |
| cg.iitasubject | Plant Genetic Resources |
| cg.journal | The Plant Genome |
| cg.howpublished | Formally Published |
| cg.accessibilitystatus | Open Access |
| local.dspaceid | 91962 |
| cg.targetaudience | Scientists |
| cg.identifier.doi | http://dx.doi.org/10.3835/plantgenome2017.03.0015 |
