Special Issue "Application of Molecular Marker Technology in Crop Breeding—Volume II"

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Crop Breeding and Genetics".

Deadline for manuscript submissions: 15 February 2024 | Viewed by 689

Special Issue Editor

Department of Horticultural Science, North Carolina State University, Raleigh, NC 27608, USA
Interests: breeding for fruit quality; differential gene expression analysis; genomic selection; GWAS; molecular breeding; plant breeding; QTL mapping; resistance breeding; stress tolerance
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Special Issue Information

Dear Colleagues,

The application of molecular markers in crop improvement first started in the 1980s. Initially, it was in the form of hybridization-based molecular markers, which were relatively less popular. As soon as PCR-based molecular markers became available, however, they became widely and easily applicable in several crop plants. Since then, several plant breeding programs have optimized the use of molecular markers associated with various traits, including disease resistance, quality, and abiotic stress tolerance. Still, there are several traits that need to be optimized, and research on that front is ongoing in various parts of the world. With the availability of genome sequences and SNP markers developed from the use of those sequences, high-density molecular linkage maps can be developed, and molecular markers associated with the traits of interest can be identified more precisely. Furthermore, mapping and fine mapping of QTL can be achieved, and eventually, such research can help us to identify the genes associated with the traits of interest. In the proposed Special Issue of Agronomy, we encourage researchers from around the world to publish their groundbreaking work in these areas of QTL mapping and marker analysis in various plant systems in this Special Issue of Agronomy. Papers directly associated with crop plants of economic importance will be given more priority.

Dr. Dilip R. Panthee
Guest Editor

Manuscript Submission Information

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  • GWAS
  • linkage analysis
  • molecular marker
  • QTL
  • RNA-seq analysis

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Published Papers (1 paper)

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14 pages, 1754 KiB  
Microsatellite-Based Genetic Diversity Analysis and Population Structure of Proso Millet (Panicum miliaceum L.) in Kazakhstan
Agronomy 2023, 13(10), 2514; https://doi.org/10.3390/agronomy13102514 - 29 Sep 2023
Viewed by 551
Proso millet is an important allotetraploid cereal crop; however, it is the least studied species of the Poaceae family, as it is an under-utilized crop. Genomic resources for proso millet are very limited compared to major crops. An understanding of the genetic relationships [...] Read more.
Proso millet is an important allotetraploid cereal crop; however, it is the least studied species of the Poaceae family, as it is an under-utilized crop. Genomic resources for proso millet are very limited compared to major crops. An understanding of the genetic relationships among germplasm resources is important for future breeding endeavors. In the present study, simplesequence repeat (SSR) markers were employed to assess the polymorphism and genetic diversity of 100 millet accessions from different countries, which were tested in the dry steppe zone conditions of the Akmola region from 2020 to 2022. The use of 20 SSR markers detected a total of 47 alleles, with an average allele number of 2.35 per locus among these proso accessions. Nine of them were polymorphic among the genotypes, which suggests that these SSR markers can be used for genetic studies. The results showed a moderate level of polymorphism information content (PIC) that averaged at 0.424, ranging from 0.125 to 0.795. The markers SSR-67, SSR-82, SSR-85 and SSR-109 showed high PIC values of 0.536, 0.756, 0.795 and 0.758, respectively. Markers SSR 85 and SSR 86 significantly correlated to agronomic traits, such as productive tillering (PT) and grain yield (GY). The genetic structure, UPGMA cluster and PCoA assay indicated that the accessions that originated from Central Asia had higher genetic diversity. Based on structure (K = 3), all the accessions were divided into three groups, where the gene pool that originated from Central Asia wasdetected in all three clusters. Based on a principal component analysis (PCA), the accessions of Central Asian origin were genetically closer to the North Asian group. Full article
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