Title |
Genotyping by sequencing for genomic prediction in a soybean breeding population
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Published in |
BMC Genomics, August 2014
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DOI | 10.1186/1471-2164-15-740 |
Pubmed ID | |
Authors |
Diego Jarquín, Kyle Kocak, Luis Posadas, Katie Hyma, Joseph Jedlicka, George Graef, Aaron Lorenz |
Abstract |
Advances in genotyping technology, such as genotyping by sequencing (GBS), are making genomic prediction more attractive to reduce breeding cycle times and costs associated with phenotyping. Genomic prediction and selection has been studied in several crop species, but no reports exist in soybean. The objectives of this study were (i) evaluate prospects for genomic selection using GBS in a typical soybean breeding program and (ii) evaluate the effect of GBS marker selection and imputation on genomic prediction accuracy. To achieve these objectives, a set of soybean lines sampled from the University of Nebraska Soybean Breeding Program were genotyped using GBS and evaluated for yield and other agronomic traits at multiple Nebraska locations. |
X Demographics
Geographical breakdown
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Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Brazil | 3 | 1% |
United States | 2 | <1% |
Italy | 1 | <1% |
Ghana | 1 | <1% |
France | 1 | <1% |
Australia | 1 | <1% |
Germany | 1 | <1% |
Denmark | 1 | <1% |
Belgium | 1 | <1% |
Other | 0 | 0% |
Unknown | 273 | 96% |
Demographic breakdown
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Student > Ph. D. Student | 69 | 24% |
Researcher | 56 | 20% |
Student > Master | 37 | 13% |
Student > Bachelor | 21 | 7% |
Student > Doctoral Student | 21 | 7% |
Other | 36 | 13% |
Unknown | 45 | 16% |
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Mathematics | 6 | 2% |
Computer Science | 4 | 1% |
Social Sciences | 3 | 1% |
Other | 10 | 4% |
Unknown | 55 | 19% |