[smartslider3 slider=5] QTL & Genetics An important aspect in assisting the breeding programs involves generating the knowledge on genetic determination of traits of potential economic value. Once the information on relevant physiological mechanisms is transformed into the network of underlying genomic regions – quantitative trait loci (QTL) – and interactions of these QTLs are understood, … Continue reading QTL & Genetics
Crop Modelers Dr Peter Carberry Peter Carberry is an Australian national. He received his PhD in Agriculture from the University of Sydney. Before joining ICRISAT, Peter was Chief Research Scientist and Partnership Leader (CSIRO-DFAT Africa Food Security Initiative), Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia. His expertise is in crop physiology and in the … Continue reading ICRISAT Modelling
LeasyScan Phenotyping Platform The past twenty years has seen a revolution in the genomics tools, driven by technology and leading to an increase in knowledge of genetics of more and more crops. There is now a consensus that phenotyping has become the main bottleneck to make use of the huge genomics information. Technologies have recently … Continue reading LeasyScan
Why is it important? Lysimetric approach- the innovation How it works Importance to crop improvement Uniqueness of the facility and relevance to other locations Re-constructing the drought puzzle The two different angles this research led to Further Why is it important? Phenotyping, or measuring key traits of crops such as drought-tolerance, is crucial … Continue reading Lysimetric Facility
[smartslider3 slider=4] Phenotyping After the given plant phenotype is reasonably understood and the potential economic value of the phenotype assessed in silico, ultimately, the tools enabling massive screening of such phenotype is inevitable to assist the breeding programs. To encounter the typical breeding population size and screen for the phenotype relevant for crop production improvement … Continue reading Phenotyping
