Molecular genetic tools and genomic resources have been developed for cowpea with an objective of enhancing breeding programs for the improvement of cowpea varieties for the United States, India, Brazil and numerous countries in Africa and Asia.
Efforts to map important traits for enhancing the breeding programs, and utilizing map-based cloning for the isolation of target genes are dependent on the availability of extensive physical and genetic maps; a switchgrass physical map is needed [ 111].
However, a comprehensive genome-wide physical map, and its integration with genetic maps possessing QTLs for important targeted traits and draft genome of chickpea, is the need of the hour for facilitating cloning of candidate genes and enhancing molecular breeding programs in this important crop.
Developing robust and reliable molecular markers associated with traits of interest will enhance the breeding program efficiency.
To better understand the key pathways determining tea flavor and enhance tea tree breeding programs, we performed a high-throughput transcriptome sequencing for C. taliensis.
Genomic approaches aimed at enhancing faba bean breeding programs require high-quality genetic linkage maps to facilitate quantitative trait locus analysis and gene tagging for use in a marker-assisted selection.
However, because most of the genome (>80%) is repetitive, the ISBP repeat insertion-based markers could be very important in saturating markers in this portion of the genome and, thus, could enhance the efficiency of breeding programs.
Phenotypically, the dwarf phenotype can only be scored in homozygous condition and at the booting stage, so the markers will enhance the efficiency of breeding programs that use tall lines as sources of novel genes for the improvement of dwarf inbreds.
Hence, it is important to utilize other types of DNA markers to identify and characterize such accessions genetically, thereby enhancing the efficiency of breeding programs in jatropha populations.
Moreover, the incomplete factorial design allowed us to obtain estimates of QTL allele effects from a wide range of genetic backgrounds, thus enhancing the transferability to breeding programs.
