Authors:
C. Kuti Agricultural Research Institute of the Hungarian Academy of Sciences Martonvásár Hungary

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L. Láng Agricultural Research Institute of the Hungarian Academy of Sciences Martonvásár Hungary

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G. Gulyás Agricultural Research Institute of the Hungarian Academy of Sciences Martonvásár Hungary

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I. Karsai Agricultural Research Institute of the Hungarian Academy of Sciences Martonvásár Hungary

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K. Mészáros Agricultural Research Institute of the Hungarian Academy of Sciences Martonvásár Hungary

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G. Vida Agricultural Research Institute of the Hungarian Academy of Sciences Martonvásár Hungary

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Z. Bedő Agricultural Research Institute of the Hungarian Academy of Sciences Martonvásár Hungary

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In recent years an information system has been elaborated and constantly improved in Martonvásár, making it possible to handle the 3–4 million identification, observation, measurement, pedigree and other data generated for a total of almost 100,000 experimental plots each year. The extremely rapid development of biotechnology has made breeders interested in integrating molecular breeding methods into the conventional phenotype-pedigree system. The aim is to improve the competitiveness of breeding programmes through the intensive use of this new technology, with particular emphasis on determining how marker-assisted selection can be utilised. The present paper outlines not only a new data structure introduced to accommodate the new data elements of data categories such as gene sources, primer bank, primer combinations, markers, genes and alleles, but also data management tools and a standalone software interface to combine both molecular and phenotypic data. The integration of the molecular genomic data (GENETECH) with the information from the existing databases: pedigree (PEDIGREE), gene bank (GENEBANK) and germplasm exchange (GERMPEXCHG), ensures that biotechnological data generated at no little cost can be harnessed in ways that are important for breeders in decision-making. This is achieved through: (i) identification and centralization in uniform sources of the molecular data, and their matching with specific phenotypes, with special regard to those of importance for marker-assisted selection, (ii) integration and compliance with existing information system data, (iii) facilitation of decision-making based on the above (e.g. grouping of selection/crossing partners).

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Acta Agronomica Hungarica
Language English
Russian
German
French
Size  
Year of
Foundation
1950
Publication
Programme
ceased
Volumes
per Year
 
Issues
per Year
 
Founder Magyar Tudományos Akadémia   
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0238-0161 (Print)
ISSN 1588-2527 (Online)

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