Enchanting Insights and Exploring the Relevance of the Magic Population in Advancing Cereal Crop Improvement
Murakonda Sai Dinesh *
Department of Genetics and Plant Breeding, School of Agriculture, Lovely Professional University, Phagwara - 144001 (Punjab), India.
I. R. Delvadiya
Department of Genetics and Plant Breeding, School of Agriculture, Lovely Professional University, Phagwara - 144001 (Punjab), India.
Soumya Duluri
Department of Genetics and Plant Breeding, School of Agriculture, Lovely Professional University, Phagwara - 144001 (Punjab), India.
*Author to whom correspondence should be addressed.
Abstract
Multiparent Advanced Generation Inter-cross Populations (MAGIC) populations are portrayed as inbred recombinant sets that were created by inter-crossing certain numerous parents. However it takes a lot of work to produce MAGIC populations but Its more effective approach for detecting QTL’s (Quantitative Trait Loci) when we involves MAGIC populations. The availability of more genetic variety in the germplasms due to various founder lines is one of the main benefits of employing a MAGIC population. In order to identify QTL’s for crop improvement under biotic and abiotic stress conditions, MAGIC populations were developed for the indica and japonica rice cultivars as well as MAGIC plus and Global MAGIC populations. Also the employment of MAGIC populations for the improvement of rice grain size also improves the yield and quality aspects of rice. Utilization of rice MAGIC plus populations for the improvement of nutrient profile of rice which is prime important in the biofortification program of rice as a goal of united nations. Where the utilization of association mapping and MAGIC populations in maize crop for improving saccharification efficiency results in higher biofuel production. Various institutes and universities are involved in production of MAGIC populations in respective specialised crops. This article gives the idea of MAGIC populations and their applications in different and diverse applications for the ultimate benefit of yield improvement.
Keywords: Genome-wide association analyses, MAGIC, multi-parent populations, near isogenic lines, QTL mapping