Genomic selection for grain yield and quality traits in durum wheat
Impact factor: 2.077 (Year: 2018)
MetadataShow full item record
Timeless limited access
Jemanesh Haile, Amidou N’Diaye, Fran Clarke, John Clarke, Ron Knox, Jessica Rutkoski, Filippo Bassi, Curtis Pozniak. (30/6/2018). Genomic selection for grain yield and quality traits in durum wheat. Molecular Breeding, 38: 75, pp. 1-18.
The prediction accuracies of genomic selection depend on several factors, including the genetic architecture of target traits, the number of traits considered at a given time, and the statistical models. Here, we assessed the potential of single-trait (ST) and multi-trait (MT) genomic prediction models for durum wheat on yield and quality traits using a breeding panel (BP) of 170 varieties and advanced breeding lines, and a doubled-haploid (DH) population of 154 lines. The two populations were genotyped with the Infinium iSelect 90K SNP assay and phenotyped for various traits. Six ST-GS models (RRBLUP, G-BLUP, BayesA, BayesB, Bayesian LASSO, and RKHS) and three MT prediction approaches (MTBayesA, MT-Matrix, and MT-SI approaches which use economic selection index as a trait value) were applied for predicting yield, protein content, gluten index, and alveograph measures. The ST prediction accuracies ranged from 0.5 to 0.8 for the various traits and models and revealed comparable prediction accuracies for most of the traits in both populations, except BayesA and BayesB, which better predicted gluten index, tenacity, and strength in the DH population. The MT-GS models were more accurate than the ST-GS models only for grain yield in the BP. Using BP as a training set to predict the DH population resulted in poor predictions. Overall, all the six ST-GS models appear to be applicable for GS of yield and gluten strength traits in durum wheat, but we recommend the simple computational models RR-BLUP or GBLUP for predicating single trait and MT-SI for predicting yield and protein simultaneously.
Showing items related by title, author, creator and subject.
Title: The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project Author(s)Hudson, Lawrence N.; Newbold, Tim; Contu, Sara; Hill, Samantha; Lysenko, Igor; De Palma, Adriana; Phillips, Helen; Alhusseini, Tamera; Bedford, Felicity; Bennett, Dominic; Booth, Hollie; Burton, Victoria; Chng, Charlotte; Choimes, Argyrios; Correia, David L. P.; Day, Julie; Echeverria-Londono, Susy; Emerson, Susan; Gao, Di; Garon, Morgan; Harrison, Michelle; Ingram, Daniel; Jung, Martin; Kemp, Victoria; Kirkpatrick, Lucinda; Martin, Callum D.; Pan, Yuan; Pask-Hale, Gwilym; Pynegar, Edwin; Robinson, Alexandra; Sanchez-Ortiz, Katia; Senior, Rebecca; Simmons, Benno; White, Hannah; Zhang, Hanbin; Aben, Job; Abrahamczyk, Stefan; Adum, Gilbert; Aguilar-Barquero, Virginia; Aizen, Marcelo; Albertos, Belén; Alcala, E.; del Mar Alguacil, Maria; Alignier, Audrey; Ancrenaz, Marc; Andersen, Alan; Arbeláez-Cortés, Enrique; Armbrecht, Inge; Arroyo-Rodríguez, Víctor; Aumann, Tom; Axmacher, Jan; Azhar, Badrul; Azpiroz, Adrián; Baeten, Lander; Bakayoko, Adama; Báldi, András; Banks, John; Baral, Sharad; Barlow, Jos; Barratt, Barbara; Barrico, Lurdes; Bartolommei, Paola; Barton, Diane; Basset, Yves; Batáry, Peter; Bates, Adam; Louhaichi, Mounir; Katovai, Eric; Kellner, Klaus; Kessler, Michael; R Kirby, Kathryn; E Knight, Mairi; Knop, Eva; Koivula, Matti; Kolb, Annette; Kone, Mouhamadou; Korosi, adam; Krauss, Jochen; J. Fonte, Steven; Fournier, Anne; E Fowler, Robert; Franzen, Markus; H Fraser, Lauchlan; M. Fredriksson, Gabriella; B Freire Jr, Geraldo; L. M. Frizzo, Tiago; Furlani, Dario; Gaigher, Rene; U Ganzhorn, Jorg; P. Garcia, Karla; C. Garcia R, Juan; G. Garden, Jenni; Garilleti, Ricardo; Ge, Bao-Ming; Gendreau-Berthiaume, Benoit; J. Gerard, Philippa J. Gerard; Gheler-Costa, Carla; Gilbert, Benjamin; Giordani, Paolo; Giordano, Simonetta; Golodets, Carly; G. L. Gomes, Laurens; K. Gould, Rachelle; Goulson, Dave; Granjon, Laurent; Grass, Ingo; L. Gray, Claudia; Grogan, James; Guardiola, Moises; R Gunawardene, Nihara; G Gutierrez, Alvaro; L Gutierrez Lamus, Doris; H Haarmeyer, Daniela; E Hanley, Mick; R Hashim, Nor; N. Hassan, Shombe; G. Hatfield, Richard; E. Hawes, Joseph; W Hayward, MattDate: 2017-12-31Status: Open accessThe PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples ...
Title: Peer-Reviewed Literature on Grain Legume Species in the WoS (1980–2018): A Comparative Analysis of Soybean and Pulses Author(s)Magrini, Marie-Benoit; Cabanac, Guillaume; Lascialfari, Matteo; Plumecocq, Gaël; Amiot, Marie Josephe; Anton, Marc; Arvisenet, Gaëlle; Baranger, Alain; Bedoussac, Laurent; Chardigny, Jean-Michel; Duc, Gérard; Jeuffroy, Marie-Hélène; Journet, Etienne-Pascal; Juin, Hervé; Larre, Colette; Leiser, Hugues; Micard, Valérie; Millot, Dominique; Pilet-Nayel, Marie-Laure; Nguyen-Thé, Christophe; Salord, Tristan; Voisin, Anne-Sophie; Walrand, Stephane; Wery, JacquesDate: 2019-12-02Status: Open accessGrain-legume crops are important for ensuring the sustainability of agrofood systems. Among them, pulse production is subject to strong lock-in compared to soya, the leading worldwide crop. To unlock the situation and ...
Author(s)Fikre, Asnake; Korbu, Lijalem; Eshete, Million; Bekele, Dagnachew; Girma, Niguse; Mohamed, Redwan; Assefe, Syum; Bogale, Daniel Admasu; Tilahun, Getachew; Tesfaye, Tewdros; Kefelegn, Niguse; Tadesse, Tadele; Rezene, Yiheys; Moges, Yonas; Agrawal, Shiv Kumar; Bishaw, Zewdie; Gaur, Pooran; Varshney, Rajeev; Kemal, Seid AhmedDate: 2018-12-01Status: Limited accessThis paper summarizes achievements of chickpea and lentil breeding during the last decade /2005-2015/ in Ethiopia. Gentic yield gains from decadal breeding efforts were 80 kg/ha/year for chickpea and 52 kg/ha/yr for lentil. ...