Molecular breeding for complex adaptive traits - can crop ecophysiology and modelling ease the pain?

Hammer, Graeme (2014) Molecular breeding for complex adaptive traits - can crop ecophysiology and modelling ease the pain?. International Sugar Journal, 116 1381: 64-68.

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Author Hammer, Graeme
Title Molecular breeding for complex adaptive traits - can crop ecophysiology and modelling ease the pain?
Journal name International Sugar Journal   Check publisher's open access policy
ISSN 0020-8841
Publication date 2014-01
Sub-type Article (original research)
Open Access Status
Volume 116
Issue 1381
Start page 64
End page 68
Total pages 5
Place of publication London, United Kingdom
Publisher Informa Agra
Collection year 2015
Language eng
Formatted abstract
Progress in crop improvement is limited by the ability to identify favourable combinations of genotypes (G) and management practices (M) in relevant target environments (E) given the resources available to search among possible combinations. Phenotypic performance of the array of possible combinations forms what can be viewed as an adaptation landscape. Crop improvement then becomes a search strategy on that complex G∗M∗E landscape. However, currently we cannot reliably predict (and navigate to) the desired destination on the adaptation landscape. We require prediction of phenotype based on genotype to underpin yield advance. In plant breeding, traditional methods have involved measuring phenotypic performance of large segregating populations in multi-environment trials and applying rigorous statistical procedures based on quantitative genetic theory to identify superior individuals. This phenotypic selection approach has been successful but inefficient. Developments in molecular genetic technologies have allowed the focus of practical crop improvement to shift from the level of the individual (genotype) to the level of the genomic region. The ability to inexpensively and densely map/sequence genomes has facilitated development of molecular breeding strategies using genome wide prediction approaches. However, their applicability to complex traits is constrained by gene-gene and gene-environment interactions, which restrict the predictive power of associations of regions with phenotypic responses. Despite this limitation, it has been possible to design molecular breeding strategies for complex traits that, on average, outperform phenotypic selection. Here it is argued that crop ecophysiology and functional whole plant modelling can provide an effective link between molecular and organism scales to enhance molecular breeding. A physiological framework that facilitates dissection and modelling of complex traits can inform phenotyping methods for marker detection and underpin prediction of likely phenotypic consequences of molecular breeding in target environments. This approach holds considerable promise for effectively linking genotype to phenotype for complex adaptive traits. In this presentation, a specific example is presented for drought adaptation in sorghum.
Keyword Genotype to phenotype
Trait physiology
Functional Genomics
Crop Improvement
Nodal Root Angle
Water deficit
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2015 Collection
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
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