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Kumar A.,Govind Ballabh Pant University of Agriculture & Technology | Yadav S.,Govind Ballabh Pant University of Agriculture & Technology | Panwar P.,Govind Ballabh Pant University of Agriculture & Technology | Gaur V.S.,Govind Ballabh Pant University of Agriculture & Technology | Sood S.,Vivekanand Parvatiya Krishi Anusandhan Sansthan
Proceedings of the National Academy of Sciences India Section B - Biological Sciences | Year: 2014

Staple food crops, mainly cereals, generally lack key mineral nutrients like calcium whose deficiency is a significant problem in human populations. Finger millet, also known as ragi, shows an extraordinary accumulation of grain calcium amongst cereals and thus could be a target crop for genetic enhancement programs. To understand the genetic basis of high calcium content in finger millet grains, 113 genotypes having calcium contents up to 450 mg/100 g of seed were screened using 23 anchored-SSR primers designed from calcium transporters and sensors. Fourteen anchored Simple Sequence Repeat markers were found polymorphic and produced a total of 83 alleles among the 113 accessions assayed. The number of alleles per locus ranged from 2 to 11. The average genetic diversity over all SSR loci was 0.22 with a mean polymorphic information content value of 0.18. The dendrogram analyses grouped the genotypes in seven different clusters according to their calcium contents. Association analyses using tools such as STRUCTURE and TASSEL revealed at least 9 markers to be significantly associated with the calcium trait. Moreover, cross-validation on a confirmation population could reconfirm the association of the markers. The findings however provide a basis for future research in genetic improvement of finger millet in terms of nutrition breeding. © 2014, The National Academy of Sciences, India. Source

Jha S.K.,Vivekanand Parvatiya Krishi Anusandhan Sansthan | Singh N.K.,Vivekanand Parvatiya Krishi Anusandhan Sansthan | Singh N.K.,Govind Ballabh Pant University of Agriculture & Technology | Arun Kumar R.,Vivekanand Parvatiya Krishi Anusandhan Sansthan | And 5 more authors.
Indian Journal of Genetics and Plant Breeding | Year: 2013

An Additive main effect and multiplicative interaction (AMMI) model was used to analyze grain yield data of 21 single cross maize hybrids evaluated at four locations in north-western Himalayas.Variation among hybrids for grain yield was found to be significant in each location. AMMI analysis of variance indicated significant variance for locations, hybrids and hybrids×locations interaction (H×L). The location main effect had largest contribution (52.79 %) to the total sum of squares for grain yield followed by H×L interaction (28.16%) and hybrids (19.10%). The interaction component was further divided into interaction principal component axes (IPCA). Only first IPCA was found to be significant and accounted for 54.73% of the H×L variance. The second PCA was non-significant yet accounted for 26.16% variability of H×L interaction. The AMMI I analysis identified the nature and magnitude of interaction of each hybrids while AMMI II analysis identified the two hybrids namely, FH3594 and FH3609, which were moderately stable and promising across the north-western Himalayan environments. Source

Tiwari K.K.,National Research Center on Plant Biotechnology | Singh A.,National Research Center on Plant Biotechnology | Pattnaik S.,National Research Center on Plant Biotechnology | Sandhu M.,National Research Center on Plant Biotechnology | And 29 more authors.
Plant Breeding | Year: 2015

Identification of a small core germplasm set representing the available genetic diversity is essential for its proper evaluation and subsequent utilization in rice improvement programmes. For constituting a small diverse mini-core panel of Indian rice germplasm, a representative set of 6912 accessions drawn based on their geographic origin from the whole rice germplasm collection available in the National Gene Bank was genotyped using 36 microsatellite markers. Automated fragment analysis of amplicons yielded a total of 435 alleles, with an average 12.4 and range of 3-29 alleles per locus. Polymorphism information content (PIC) ranged from 0.08 (RGNMS190) to 0.86 (RM552) with an average of 0.528. Based on genotyping data, a mini-core consisting of 98 genotypes was identified. Ninety-four per cent of the alleles present in the core set were present in the mini-core. The identified small but diverse panel will be useful for further intensive trait-specific evaluation and utilization in allele mining. © 2015 Blackwell Verlag GmbH. Source

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