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Molecular Techniques in Crop Improvement pp 143–161Cite as

Automation of DNA Marker Analysis for Molecular Breeding in Crops

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Abstract

Plant breeders constantly need to adapt their research to the ever-changing market needs and agricultural practices. To achieve these goals, they need to competently combine different genetically-governed characters in a genotype, this is a complex, time-consuming and labour intensive task. In modern plant breeding, molecular markers are of increasing importance, and it is today undeniable that their application inhold tremendous possibilities to increase plant breeding efficiency. While the methods are more widely adopted, the capacity for high-throughput analyses at low cost becomes crucial for their practical use. To be attractive it is necessary that molecular technology is able to promptly handle sufficiently large amounts of material at reduced costs. Automation of the analysis processes is a way to meet these requirements. In that purpose, the specific needs of molecular applications in practical plant breeding are investigated in this chapter. The particular approach of a plant breeding company to automate them, in order to increase their availability to breeding programs, is described.

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Notes

  1. 1.

    In 1875 von Proskowetz used ear selection as a predictor of malting quality. Tolerance to pre-harvest sprouting in wheat was known to be associated with red kernels (Nilsson-Ehle 1914) allowing indirect selection for this trait. In the 1920’s simple colour traits were used to predict seed weight in common bean, and fruit size in tomato. Others were used for varietal discrimination (DUS).

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Acknowledgment

Formas and Øforsk are acknowledged for their financial support.

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Authors and Affiliations

  1. Department of Plant Breeding and Biotechnology, Swedish University of Agricultural Sciences, 44, SE-23053, Alnarp, Sweden

    Christophe Dayteg

  2. Svalöf Weibull AB, SW Laboratory, SE-26 881, Svalöv, Sweden

    Stine Tuvesson

Authors
  1. Christophe Dayteg
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  2. Stine Tuvesson
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Corresponding author

Correspondence to Christophe Dayteg .

Editor information

Editors and Affiliations

  1. Department of Applied Biology, University of Helsinki, Helsinki, Finland

    S. Mohan Jain

  2. Institute (IRRI), Social Sciences Division, International Rice Research, Metro Manila, Philippines

    D.S. Brar

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Dayteg, C., Tuvesson, S. (2010). Automation of DNA Marker Analysis for Molecular Breeding in Crops. In: Jain, S., Brar, D. (eds) Molecular Techniques in Crop Improvement. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2967-6_6

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