editedbook
Publication: IIP Proceedings Year: 2022, Month: November Page No: 223-236, ISSN/ISBN: 978-93-95632-76-8, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl20234FDEE364C764BE1.pdf
MAGIC POPULATION: AN APPROACH TO GENERATE VARIABILITY
Area/Stream: Agriculture Engineering & Food Sciences, Authors: A. V. Shinde, N. R. Thakur, A. S. Deshmukh Keywords: Genotype, Germplasm, MAGIC population, Multiparent population, Phenotype, QTL Book Name /series: Futuristic Trends in Agriculture Engineering & Food Sciences, Volume 2, Book 10, Part 4, Chapter 2Publication: IIP Proceedings Year: 2022, Month: November Page No: 223-236, ISSN/ISBN: 978-93-95632-76-8, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl20234FDEE364C764BE1.pdf
Abstract:
Crop populations generated from experimental crossings promote modern plant breeding and allow for the genetic analysis of complex features. Multiparental populations now take the lead among these. A new generation of mapping populations is emerging for the study of plant genetics, one of which is the multiparent advanced generation inter-cross (MAGIC) population. Typically, they are produced by crossing many founder lines over a number of generations by utilizing the advantages of both natural and artificial recombination, the MAGIC populations provide an alternative to conventional linkage or association mapping populations by improving the precision of quantitative trait loci (QTL) mapping resolution and analysis of gene–trait correlation. MAGIC hold enormous promise for analyzing genetic organization and enhancing breeding populations. They have significant genetic diversity, high power and resolution for mapping quantitative trait loci (QTL) and little population structure for instance. Crop species have created several multi-populations. In order to maximize the utilization of multi-parent populations as powerful communal resources for agricultural research development and breeding, we also suggest an ideal genotypic, phenotypic and germplasm "package" that should be present in these populations.parent populations and these populations inbred germplasm and related phenotypic and genotypic data serve as permanent resources. Their use has expanded from being a tool for mapping quantitative trait loci to a way to supply breeding programmes with germplasm. The range of research and breeding applications for multi-parent populations has increased thanks to genomic techniques, such as de novo genome assemblies and gene annotations for the population founders, which permitted the imputation of rich sequence information into the descendent population. Here, we discuss recent achievements in crop multi-parent.
Cite this: A. V. Shinde, N. R. Thakur, A. S. Deshmukh,"MAGIC POPULATION: AN APPROACH TO GENERATE VARIABILITY", Futuristic Trends in Agriculture Engineering & Food Sciences, Volume 2, Book 10, Part 4, Chapter 2, November, 2022, 223-236, 978-93-95632-76-8, https://www.rsquarel.org/assets/docupload/rsl20234FDEE364C764BE1.pdf
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