Plant Breeding: High-Yield and Quality, Stress-Resistant Trait Genetic Improvement and Application
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: 29 September 2025 | Viewed by 327
Special Issue Editor
Interests: plant breeding; biology; biotechnology; molecular genetics; genomics; bioinformatics; environmental stress
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Plant breeding focuses on enhancing crop yield, quality, and resistance to environmental stresses. The primary objectives are to achieve high yields, superior quality, and robust stress resistance. By employing techniques such as cross-breeding, selection, and genome editing, crop varieties with high yields that can thrive in diverse environmental conditions can be developed. In contemporary agriculture, genetic improvement technologies can significantly boost crop performance, enhance economic gains, supply more high-quality agricultural products for human consumption, meet the escalating food demands of a growing population, and promote agricultural sustainability.
Balancing quality, high yield, and stress resistance during the breeding process poses a complex and demanding challenge. Techniques like whole-genome sequencing and marker-assisted selection enable the precise identification and introduction of superior genes, enhancing breeding efficiency and accuracy. Gene mining and analysis have expedited the creation of new varieties and advanced precision breeding. Through ongoing scientific exploration and technological innovation, there is potential for cultivating even better crop varieties, thereby making substantial contributions to the sustainable development of global agriculture.
Dr. Juwu Gong
Guest Editor
Manuscript Submission Information
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Keywords
- plant breeding
- crop genetic improvement
- gene editing
- stress resistance
- crop quality
- crop yield
- gene resource utilization
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