Plant Breeding Strategies: Employment of Plant Adaptation Mechanisms to Biotic and Abiotic Stresses
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Plant Sciences".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 1200
Special Issue Editor
Interests: orchard plant genetics; plant metabolomics; gene expression study; orchard plant breeding
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, various requirements for novel plant breeding methods have emerged. Plant response-based strategies for cultural plant breeding involve the use of genetic resources based on their responses to various environmental and biotic factors at the molecular level. This approach aims to enhance crop yield, resilience, and sustainability by leveraging plants’ natural adaptive mechanisms for stress tolerance and yield performance. The purpose of this Special Issue is to deepen our knowledge and collate manuscripts focused on key strategies in the phenotypic and genotypic breeding of cultural plants and establish a correlation on a molecular level. Marker-assisted selection (MAS), transcriptome or proteome analysis, transgenic approaches, and plant microbiome are possible tools used to create resilient agricultural systems capable of sustaining productivity and adapting to changing environmental conditions. To ensure the diversity of approaches and viewpoints of the authors, we aim to collate different types of articles, such as original articles, systematic reviews, and communications.
This Special Issue is supervised by Dr. Vidmantas Bendokas and assisted by our Topical Advisory Panel Member Dr. Ingrida Mažeikienė, ingrida.mazeikiene@lammc.lt (Institute of Horticulture, Lithuanian Research Centre for Agriculture and Forestry, Lithuania).
Dr. Vidmantas Bendokas
Guest Editor
Manuscript Submission Information
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Keywords
- marker-assisted selection
- molecular breeding
- whole-transcriptome analysis
- RNA sequencing
- DNA sequencing
- plant stress response
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