The maize mid-density panel is an SNP panel developed and optimized by the collaboration between the International Maize and Wheat Improvement Center (CIMMYT) and the International Institute of Tropical Agriculture (IITA) to implement genomic assisted breeding routinely in the maize breeding programs.
Genomics interventions in pigeonpea during the last decade, in particular the availability of a reference genome (Varshney et al. 2012) and whole genome sequence data on multiple lines, have enhanced the level of crop improvement(Varshney et al. 2017; Saxena et al. 2021). Cost-effective genotyping platforms are required to deploy genomics assisted breeding in routine crop improvement programs. Therefore, a mid-density genotyping platform has been developed targeting pigeonpea.
The CIMMYT Global Wheat Program currently optimizes, and pilots accelerated breeding schemes to increase overall genetic gains through the ‘Accelerating Genetic Gains in Maize and Wheat’ and ‘Zinc mainstreaming in Wheat’ projects funded by the BMGF, FCDO, USAID, and FFAR. A robust, cost-effective mid-density SNP platform is ideal for this type of genomic-assisted breeding approach.
Over the last year, global supply chains and service providers have been affected by rising inflation, costs and challenges. Genotyping services and inputs in particular are affected by rising demand due to the global COVID-19 pandemic.
The CGIAR Excellence in Breeding Platform (EiB) has been proactive in maintaining the availability and quality of our brokered genotyping services throughout ongoing challenges. For 2022, there will be a small cost increase to our partners as a result of the higher prices charged by our trusted service partners.
The 1k RiCA panel for rice is the mid-density genotyping panel developed at the International Rice Research Institute (IRRI) to enable affordable, efficient genomic selection. It has been implemented at several service providers and platforms, but currently is offered at Agriplex and DArT. Both platforms use custom amplicon workflows that reliably deliver almost all markers from all samples.
Banana breeding programs in East Africa are starting to use genetic analysis to speed up varietal improvement, thanks to open data and access to low-cost services.
Abhishek Rathore (ICRISAT) presents the current state of tools for data management and genomic prediction available at ICRISAT and national programs in India. Abhishek presents a path to the proper implementation of data management tools that ensures the successful deployment of GS in breeding programs. Case examples of crops adopting these systems and their current state are also presented.
The common bean mid-density marker panel was developed from sequencing data of 1,700 breeding lines and landraces belonging to different breeding nurseries for biotic and abiotic resistances, commercial and agronomic traits, interspecific introgressions, and major representation from America and Africa breeding programs.
Groundnut (Arachis hypogaea L.), also known as peanut, is cultivated over 34.1 million hectares with an annual production of 66.3 million tonnes (FAOSTAT, 2020). The availability of reference genomes for both the subspecies (A. hypogaea ssp fastigiata and A. hypogaea ssp hypogaea) of cultivated groundnut in 2019 have boosted more precise genomic studies and higher integration of genomic tools in the modern breeding programs across the world (Pandey et al. 2020).