Breeding for Abiotic Stress Resistance in Crops: Biotechnology and Bioinformatics

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Genotype Evaluation and Breeding".

Deadline for manuscript submissions: 25 October 2024 | Viewed by 144

Special Issue Editor


E-Mail Website
Guest Editor
Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy
Interests: plant biotechnologies; genomics; molecular breeding; transcriptomics; abiotic stresses; plant response and tolerance; drought; salinity; genetic engineering; synthetic biology

Special Issue Information

Dear Colleagues,

Environmental stresses dramatically affect crop yield and quality at the global level. Among others, drought and salinity are becoming particularly challenging in many regions worldwide. The extent of their impact on the profitability and sustainability of agricultural systems is even exacerbated by climate change, posing increasing food insecurity concerns and competition on natural resources.

To meet an increasing food demand from a growing human population, breeding more tolerant plants to environmental stressors is consistent with the strategy to develop more resilient agricultural systems.

This Special Issue focuses on the implementation of biotechnological tools and bioinformatic pipelines in innovative breeding strategies for abiotic stress tolerance in crops. This SI will include interdisciplinary studies embracing plant genetic and breeding, genomics and bioinformatics, plant biology and physiology, chemistry, statistics, modeling, and engineering. Manuscripts addressing open questions on plant abiotic stress responses and cutting-edge research on innovative breeding approaches for enhanced abiotic stress tolerance are welcome. Among others, the following themes are warmly encouraged: (a) implementing new crop breeding approaches for abiotic stress tolerance by integrating biotechnological strategies and conventional methods; (b) improving carbon sequestering capacity and climate resilience in plants; (c) genomic-based breeding strategies to improve complex traits; and (d) integrating phenomics and big data analysis to improve crop breeding strategies for enhanced tolerance.

These research articles will cover a broad range of crops. All types of articles, such as original research, opinions, and reviews, are welcome.

Prof. Dr. Antonio Di Matteo
Guest Editor

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 submissions that pass pre-check are 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. Agriculture is an international peer-reviewed open access monthly 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 2600 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.

Keywords

  • QTLs
  • complex traits
  • resilience
  • advanced plant breeding
  • genome editing
  • genomic selection
  • genome-wide association studies
  • automation
  • robotic engineering
  • phenomic platforms

Published Papers

This special issue is now open for submission.
Back to TopTop