Cereal Research Communications
Volume/Issue:
Volume 40: Issue 4
Bioinformatics tool for handling molecular data in wheat breeding
Authors:
C. Kuti Agricultural Research Institute of the Hungarian Academy of Sciences P.O. Box 19 H-2462 Martonvásár Hungary

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L. Láng Agricultural Research Institute of the Hungarian Academy of Sciences P.O. Box 19 H-2462 Martonvásár Hungary

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G. Gulyás Agricultural Research Institute of the Hungarian Academy of Sciences P.O. Box 19 H-2462 Martonvásár Hungary

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I. Karsai Agricultural Research Institute of the Hungarian Academy of Sciences P.O. Box 19 H-2462 Martonvásár Hungary

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K. Mészáros Agricultural Research Institute of the Hungarian Academy of Sciences P.O. Box 19 H-2462 Martonvásár Hungary

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G. Vida Agricultural Research Institute of the Hungarian Academy of Sciences P.O. Box 19 H-2462 Martonvásár Hungary

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Z. Bedő Agricultural Research Institute of the Hungarian Academy of Sciences P.O. Box 19 H-2462 Martonvásár Hungary

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Pages:
573–582
Online Publication Date:
20 Nov 2014
Publication Date:
01 Dec 2012
Article Category:
Research Article
DOI:
https://doi.org/10.1556/crc.40.2012.0009
Keywords:
agroinformatics; marker-assisted selection; MAS; wheat breeding; genomic database; software
Restricted access

The research institute in Martonvásár is one of the largest agricultural research institutes in Hungary and in Central Europe. For many years now, the accumulated data on the extensive wheat breeding stocks has been handled and analysed using programs developed in the institute. The information system that has been elaborated and constantly improved can be used for keeping records of breeding stock, for planning field and laboratory experiments, for site-plant performance evaluation, for automated data collection, for the rapid evaluation of the results and for effective management of the pedigree, seed exchange and the institute’s cereal gene bank.The demand for the storage of molecular data and their use in breeding has increased parallel with the development of new, PCR-based markers. For this reason, informatics tools (data structure and software) suited to the design of marker-assisted selection experiments and the interpretation of the results have been developed as part of the existing Martonvásár wheat breeding information system. The aim was to link molecular data to the phenotypic information already available in the database and to make the results available to wheat breeders and geneticists.The interpretation of molecular data related to specific genotypes is of assistance in clarifying the genetic background of economically important phenotypic traits, in identifying markers linked to the useful genes or agronomic traits to be found in the genomics database, and in the selection of satisfactory parental partners for breeding. Marker assisted selection coupled with traditional breeding activities enables the breeder to make plant selections based on the presence of target genes. Conventional wheat breeding with the integrated molecular component allows breeders to more accurately and efficiently select defined sets of genes in segregating generations.The molecular data are stored in a relational database, the central element of which is the [DNASource] entity. This is used to collect and store information on gene sources arising during breeding. It is therefore linked both to the phenotypic data stored in the traditional breeding system (measurements, observations, laboratory data) and to the component parts of the new, molecular data structure ([PrimerBank], [Marker], [Allele] and [Gene]).

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Cover Cereal Research Communications
Cereal Research Communications A Quarterly of the Cereal Research Non-Profit Ltd. Company
Print ISSN:
0133-3720
Online ISSN:
1788-9170

 

 

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Cereal Research Communications
Language English
Size A4
Year of
Foundation		 1973
Volumes
per Year		 1
Issues
per Year		 4
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0133-3720 (Print)
ISSN 1788-9170 (Online)

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