Tree Genetics and Breeding Improvement
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Plant Genetics and Genomics".
Deadline for manuscript submissions: 25 December 2024 | Viewed by 124
Special Issue Editor
Interests: tree genetic and breeding; somatic embryo germination; genomic selection; wood property; abiotic stress resistance; tree genomics; population genetics; economic forests; timber forests
Special Issue Information
Dear Colleagues,
Theoretical and technical advances in plant genetics have continuously increased the efficiency of plant breeding. In particular, with the rapid development of sequencing technology in recent years, more and more genome and transcriptome data from thousands of plant species have been reported. However, the genetics and breeding improvement of trees face more challenges compared to those of crops and horticultural plants. These challenges include a long breeding cycle, a more complex genome, the lack of breeding resource collection and evaluation, the predominance of quantitative economic traits, and the absence of an efficient genetic transformation system. These and other difficulties have seriously restricted the process of tree breeding improvement.
In this Special Issue, we aim at focusing on the study of tree genetics and breeding improvement. Our goal is to include papers on basic genetic research as well as new technology development, all of which will help us promote efficient tree breeding.
Studies on the evaluation of genetic resources, the genetic diversity and evolutionary history of populations, the identification of quantitative trait loci, the establishment and improvement of genome editing systems, and other related topics are most welcome.
We look forward to receiving your contributions.
Dr. Junhui Wang
Guest Editor
Manuscript Submission Information
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Keywords
- tree genetic improvement
- tree genomics and evolution
- SNP genotyping and high-throughput sequencing
- ploidy breeding
- tree genetic engineering
- genetic resources
- genomics selection
- population genetics
- genetic diversity
- multi-omics analysis
- quantitative trait loci
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