Backes, Gunter and Østergard, Hanne (2008) Molecular markers to exploit genotype-environment interactions of relevance in organic growing systems. Euphytica, 163 (3), pp. 523-531.
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Online at: http://dx.doi.org//10.1007/s10681-008-9729-y
One of the substantial differences between conventional and organic growing systems is the degree to which the farmer can control biotic and abiotic stresses; for organic growing systems varieties are needed with a broad adaptation to annually varying factors, while at the same time a good specific adaptation is necessary with respect to more constant climate and soil conditions. This combination of requirements implies that varieties for organic farming need to be better characterised with respect to genotype x environment interactions than varieties for conventional farming. Such interactions, which often are found for quantitatively expressed traits, are in general difficult to deal with in phenotypic selection. New approaches for QTL analyses (e.g. using physiological models) facilitate estimation of effects of genes on a trait (the phenotype) as a response to environmental influences. From such analyses, markers can be identified which may help to predict the trait expression of a plant genotype in relation to defined environmental factors. The application of markers to select for loci with specific interactions with the environment could, therefore, be especially important for plant breeders targeting organic farming systems.
|EPrint Type:||Journal paper|
|Keywords:||Genotype-environment interaction, Marker-assisted selection, Organic farming, Plant breeding, QTL|
|Subjects:|| Values, standards and certification > Technology assessment|
Crop husbandry > Breeding, genetics and propagation
|Research affiliation:|| Denmark > DTU - Technical University of Denmark > DTU, RISØ - Risø National Laboratory|
Denmark > KU - University of Copenhagen > KU-LIFE - Faculty of Life Sciences
|Deposited By:||Backes, Dr. Gunter|
|Deposited On:||12 Jan 2011 08:31|
|Last Modified:||19 Jun 2012 11:25|
|Refereed:||Peer-reviewed and accepted|
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