Title |
CerealsDB 2.0: an integrated resource for plant breeders and scientists
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Published in |
BMC Bioinformatics, September 2012
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DOI | 10.1186/1471-2105-13-219 |
Pubmed ID | |
Authors |
Paul A Wilkinson, Mark O Winfield, Gary LA Barker, Alexandra M Allen, Amanda Burridge, Jane A Coghill, Keith J Edwards |
Abstract |
Food security is an issue that has come under renewed scrutiny amidst concerns that substantial yield increases in cereal crops are required to feed the world's booming population. Wheat is of fundamental importance in this regard being one of the three most important crops for both human consumption and livestock feed; however, increase in crop yields have not kept pace with the demands of a growing world population. In order to address this issue, plant breeders require new molecular tools to help them identify genes for important agronomic traits that can be introduced into elite varieties. Studies of the genome using next-generation sequencing enable the identification of molecular markers such as single nucleotide polymorphisms that may be used by breeders to identify and follow genes when breeding new varieties. The development and application of next-generation sequencing technologies has made the characterisation of SNP markers in wheat relatively cheap and straightforward. There is a growing need for the widespread dissemination of this information to plant breeders. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | <1% |
Uruguay | 1 | <1% |
Brazil | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Singapore | 1 | <1% |
Argentina | 1 | <1% |
United States | 1 | <1% |
Unknown | 112 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 28% |
Researcher | 30 | 25% |
Student > Master | 12 | 10% |
Other | 7 | 6% |
Student > Bachelor | 6 | 5% |
Other | 16 | 13% |
Unknown | 16 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 79 | 66% |
Biochemistry, Genetics and Molecular Biology | 9 | 8% |
Computer Science | 6 | 5% |
Physics and Astronomy | 2 | 2% |
Mathematics | 1 | <1% |
Other | 2 | 2% |
Unknown | 21 | 18% |