Characterization of Mimban maize landrace from North-Eastern Himalayan region using microsatellite markers
2020
Rathod, Nenavath Krishna Kumar | Kumari, Jyoti | Hossain, Firoz | Chhabra, Rashmi | Roy, Somnath | Harish, Ganjalagatta Dasaiah | Bhardwaj, Rakesh | Gadag, Raveendra N. | Miśra, Anupa Kumāra
The North-Eastern Himalayan (NEH) region of India is endowed with rich maize genetic resources which is important from both genetics and evolutionary viewpoints. Mimban landrace of maize is a popular choice in Mizoram as food among the locals due to its stickiness caused by recessive wx1 gene resulting in high amylopectin in the grains. In the present study, a set of 24 Mimban accessions possessing high amylopectin (mean 89.72%, range 80.2–93.7%) content were analyzed. 93 SSRs markers generated a total of 334 alleles with a range of 2–9 and mean of 3.59 alleles per locus. Polymorphism information content varied from 0.117 to 0.829 with an average of 0.528. A total of 20 unique and 24 rare alleles were detected. Twenty-seven major alleles with individual frequencies exceeding 0.70 were also identified across the accessions. Cluster analyses classified 24 genotypes into three major clusters each having 2, 14 and 9 accessions. The clustering pattern was largely congruent with the geographical information. Diverse origin of the accessions was also depicted by the SSR based principal coordinate analysis. These accessions with high amylopectin content from diverse clusters may be crossed to derive heterotic hybrid and also might be used for novel gene identification. Thus information generated here possesses great potential in their utilization in the waxy corn genomics and breeding and emphasizes the need for further exploration of unique trait specific genepool from unexplored areas. This is the first report of molecular characterization of Mimban landrace accessions from NEH region.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par National Agricultural Library
Découvrez la collection de ce fournisseur de données dans AGRIS