Literature DB >> 27716975

When more is better: how data sharing would accelerate genomic selection of crop plants.

Jennifer E Spindel1, Susan R McCouch2.   

Abstract

Genomic selection is proving an effective new strategy for increasing breeding efficiency in a wide variety of cereal species - the staple crops that feed the world. A preponderance of studies, reviewed here, has confirmed that the more correlated phenotypic and environmental data that are used to feed genomics-assisted breeding models, the better the prediction accuracies of the models and the more useful the breeding outcomes. We argue that based on these empirical results, new alliances to share data across genomic selection breeding programs are critical to the rapid development and deployment of new crop varieties.
© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.

Keywords:  genome editing; genomic selection; open access; open-source breeding; rice

Mesh:

Year:  2016        PMID: 27716975     DOI: 10.1111/nph.14174

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  20 in total

Review 1.  Assessing and Exploiting Functional Diversity in Germplasm Pools to Enhance Abiotic Stress Adaptation and Yield in Cereals and Food Legumes.

Authors:  Sangam L Dwivedi; Armin Scheben; David Edwards; Charles Spillane; Rodomiro Ortiz
Journal:  Front Plant Sci       Date:  2017-08-29       Impact factor: 5.753

2.  Can natural variation in grain P concentrations be exploited in rice breeding to lower fertilizer requirements?

Authors:  Fanmiao Wang; James Douglas Morrison King; Terry Rose; Tobias Kretzschmar; Matthias Wissuwa
Journal:  PLoS One       Date:  2017-06-26       Impact factor: 3.240

3.  Genome-wide association study and genomic prediction using parental and breeding populations of Japanese pear (Pyrus pyrifolia Nakai).

Authors:  Mai F Minamikawa; Norio Takada; Shingo Terakami; Toshihiro Saito; Akio Onogi; Hiromi Kajiya-Kanegae; Takeshi Hayashi; Toshiya Yamamoto; Hiroyoshi Iwata
Journal:  Sci Rep       Date:  2018-08-10       Impact factor: 4.379

4.  kWIP: The k-mer weighted inner product, a de novo estimator of genetic similarity.

Authors:  Kevin D Murray; Christfried Webers; Cheng Soon Ong; Justin Borevitz; Norman Warthmann
Journal:  PLoS Comput Biol       Date:  2017-09-05       Impact factor: 4.475

5.  Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding Program.

Authors:  Vikas Belamkar; Mary J Guttieri; Waseem Hussain; Diego Jarquín; Ibrahim El-Basyoni; Jesse Poland; Aaron J Lorenz; P Stephen Baenziger
Journal:  G3 (Bethesda)       Date:  2018-07-31       Impact factor: 3.154

6.  BrAPI-an application programming interface for plant breeding applications.

Authors:  Peter Selby; Rafael Abbeloos; Jan Erik Backlund; Martin Basterrechea Salido; Guillaume Bauchet; Omar E Benites-Alfaro; Clay Birkett; Viana C Calaminos; Pierre Carceller; Guillaume Cornut; Bruno Vasques Costa; Jeremy D Edwards; Richard Finkers; Star Yanxin Gao; Mehmood Ghaffar; Philip Glaser; Valentin Guignon; Puthick Hok; Andrzej Kilian; Patrick König; Jack Elendil B Lagare; Matthias Lange; Marie-Angélique Laporte; Pierre Larmande; David S LeBauer; David A Lyon; David S Marshall; Dave Matthews; Iain Milne; Naymesh Mistry; Nicolas Morales; Lukas A Mueller; Pascal Neveu; Evangelia Papoutsoglou; Brian Pearce; Ivan Perez-Masias; Cyril Pommier; Ricardo H Ramírez-González; Abhishek Rathore; Angel Manica Raquel; Sebastian Raubach; Trevor Rife; Kelly Robbins; Mathieu Rouard; Chaitanya Sarma; Uwe Scholz; Guilhem Sempéré; Paul D Shaw; Reinhard Simon; Nahuel Soldevilla; Gordon Stephen; Qi Sun; Clarysabel Tovar; Grzegorz Uszynski; Maikel Verouden
Journal:  Bioinformatics       Date:  2019-10-15       Impact factor: 6.937

Review 7.  Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder's equation.

Authors:  Joshua N Cobb; Roselyne U Juma; Partha S Biswas; Juan D Arbelaez; Jessica Rutkoski; Gary Atlin; Tom Hagen; Michael Quinn; Eng Hwa Ng
Journal:  Theor Appl Genet       Date:  2019-03-01       Impact factor: 5.699

8.  Toward genomic selection in Pinus taeda: Integrating resources to support array design in a complex conifer genome.

Authors:  Madison Caballero; Edwin Lauer; Jeremy Bennett; Sumaira Zaman; Susan McEvoy; Juan Acosta; Colin Jackson; Laura Townsend; Andrew Eckert; Ross W Whetten; Carol Loopstra; Jason Holliday; Mihir Mandal; Jill L Wegrzyn; Fikret Isik
Journal:  Appl Plant Sci       Date:  2021-07-02       Impact factor: 1.936

9.  Enabling reusability of plant phenomic datasets with MIAPPE 1.1.

Authors:  Evangelia A Papoutsoglou; Daniel Faria; Daniel Arend; Elizabeth Arnaud; Ioannis N Athanasiadis; Inês Chaves; Frederik Coppens; Guillaume Cornut; Bruno V Costa; Hanna Ćwiek-Kupczyńska; Bert Droesbeke; Richard Finkers; Kristina Gruden; Astrid Junker; Graham J King; Paweł Krajewski; Matthias Lange; Marie-Angélique Laporte; Célia Michotey; Markus Oppermann; Richard Ostler; Hendrik Poorter; Ricardo Ramı Rez-Gonzalez; Živa Ramšak; Jochen C Reif; Philippe Rocca-Serra; Susanna-Assunta Sansone; Uwe Scholz; François Tardieu; Cristobal Uauy; Björn Usadel; Richard G F Visser; Stephan Weise; Paul J Kersey; Célia M Miguel; Anne-Françoise Adam-Blondon; Cyril Pommier
Journal:  New Phytol       Date:  2020-04-25       Impact factor: 10.323

10.  Bottlenecks for genome-edited crops on the road from lab to farm.

Authors:  Armin Scheben; David Edwards
Journal:  Genome Biol       Date:  2018-10-26       Impact factor: 13.583

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.