Special Issue "Applications of Advanced Genomic and Phenomic Technologies for Plant Improvement II"
Deadline for manuscript submissions: 25 February 2022.
Interests: plant’s ability to cope with stress, including genetic and epigenetic responses, establishment of principles and criteria for breeding stress-tolerant crop plants; integration of genomic, transcriptomic, and phenomic analysis in modern breeding
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Global agriculture is facing three colossal challenges: an increasing world population, the adverse effects of climate change, and the diminishing genetic resources for cultivated species. Thus, there is an urgent need to find innovative solutions to rise agricultural production and maintain food security.
Plant breeding has always been the only resource of suitable plant types for cultivation. Conventional breeding has been an art and science performed over the last century by specialists and trained scientists reliant on plant phenotype to select the best individuals for cultivar improvement. However, because of the intervention of unstable environmental conditions, plant phenotype is not always a good representation of a superior genotype. Modern plant breeding is minimizing its “art” component, taking advantage of the scientific progress and novel analytical methods to enable the prediction of plant performance from biological entities. In other words, it seeks to increase the accuracy of prediction of plant performance by accurately associating an individual genotype to a specific phenotype.
Genomic tools based on next-generation sequencing (NGS) technologies, such as whole-genome sequencing, de novo sequencing and re-sequencing, transcriptome sequencing (mRNA-seq and/or miRNA-seq), target re-sequencing, exome and reduced-representation sequencing, gene panel and amplicon sequencing, generate a wealth of genomic information for virtually any crop. Combined with precise high-throughput phenotyping systems referred to as phenomics, these innovative technologies provide analytical tools for predicting plant performance from genetic data.
Genomics and phenomics, with the support of powerful bioinformatic and image analysis software, can revolutionize crop improvement by identifying the genetic basis of agriculturally important traits and increase the genetic gain by direct genotypic selection of high-breeding-value individuals in a plant breeding population.
This Special Issue will provide a platform to present research results in all applications of advanced genomics and phenomics tools related to crop improvement and to discuss current trends and future prospects of progress in these fields for modern plant breeding.
Prof. Dr. Alexios Polidoros
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- plant breeding
- high-throughput technologies
- next-generation sequencing
- genomic selection
- image analysis
- molecular markers
- marker-assisted selection