The genebank collections worldwide provide the genetic diversity required for plant breeding activities. To access the useful traits the plant breeders most often need to conduct large screening experiments to identify the accessions holding such desired traits. Focused Identification of Germplasm Strategy (FIGS) was proposed as a new approach to assist plant breeders and other genebank users looking for a target trait property. The principles of this new approach is based on finding a link between the target trait property and the ecoclimatic profile at the original collecting location for landraces and wild relatives of the cultivated plants. This thesis provides some of the first experimental evidence to support the FIGS concept. Efficient crop improvement programs and effective plant breeding activities are a high priority to ensure future food supply under the challenges of climate change and a rapidly growing world population.
These MATLAB scripts are based on the PLS Toolbox from Eigenvector inc. Work is in progress to migrate to R.
You may cite the Trait mining toolbox as:
Endresen, D.T.F. (2011). Utilization of Plant Genetic Resources: A Lifeboat to the Gene Pool. PhD Thesis, Department of Agriculture and Ecology, Faculty of Life Sciences, Copenhagen University, Denmark. ISBN: 978-91-628-8268-6.
PDF version available online at: http://goo.gl/pYa9x
Thormann I, Parra-Quijano M, Endresen DTF, Rubio-Teso ML, Iriondo JM & Maxted N (2014). Predictive characterization of crop wild relatives and landraces: Technical guidelines version 1. Bioversity International, Rome, Italy. ISBN 978-92-9255-004-2. 40 p.
These scripts are work under development. You may use the trait mining scripts as they are. The scripts are licensed under a Creative Commons Attribution 4.0 International License. Any interest to help developing these scripts further are most welcome. You may contact me at dag.endresen@gmail.com.
Automatically exported from code.google.com/p/trait-mining