Special Issue "Genomic and Molecular Marker Technologies to Identify Yield-Determining Traits"
A special issue of Agronomy (ISSN 2073-4395).
Deadline for manuscript submissions: closed (1 December 2014).
Special Issues and Collections in MDPI journals
Both from an agronomic and economic point of view, the main driver for crop improvement over the last century has been the yield. Recently, the rate of improvement of yield and grain protein content has accelerated, due primarily to the introduction of an increasingly scientific approach to plant breeding. In particular, quantitative genetics, through the use of DNA markers and the detection of quantitative trait loci, has been the main approach for the identification of chromosomal regions together with key regulatory or structural candidate genes involved in the expression of complex agronomic traits such as yield. The identification of such chromosomal regions and genes, involved in the control of yield and grain quality, should provide the basis for developing marker-assisted selection strategies. This will allow breeders to exploit all the possibilities offered by genetics, including natural variability, mutagenesis and genetic manipulation. Among these possibilities, validation of candidate genes putatively involved in the control of yield has been extensively developed using transgenic and mutagenesis technologies. In addition, studies have examined the relationship between allelic polymorphism and the trait of interest, either at the single gene or genome-wide level. Positional cloning is another alternative strategy that can be used to focus on the chromosomal regions controlling yield, and this ultimately facilitates access to a single gene. Thus, the next major challenge for plant biologists and breeders will consist of taking advantage of these genetic and molecular marker technologies to increase crop yield to feed the world.
Dr. Bertrand Hirel
Manuscript Submission Information
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- association genetics
- genetic engineering
- molecular markers
- quantitative trait loci