Browsing by Author "Amrutlal R. Khaire"

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Molecular diversity analysis in rice (Oryza sativa L.) using SSR markers
(Indian Society of Plant Breeders, 2020) Shikha Tripathi; S.K. Singh; Vishal Srivashtav; Amrutlal R. Khaire; Prudhviraj Vennela; D.K. Singh
Rice is the most important staple food crop among the cereals and feeds more than half of the world's population. Assessment of genetic diversity is of utmost importance in rice breeding from the perspective of selection, conservation and proper utilization. The present study was undertaken with an objective to assess the genetic diversity among 27 rice cultivars with 12 SSR markers. The results revealed a total of 40 alleles were detected across 27 rice cultivars tested. PIC values varied widely among SSR loci tested and it ranged from 0.38 to 0.65, with an average of 0.56 per marker. The 27 rice cultivars were grouped into two major clusters i.e., cluster I and II with similarity coefficient 0.13. Cluster I was sub divided into two minor sub-groups IA and IB having 5 and 8 genotypes respectively. These subgroups were further subdivided into minor groups. In similar way, the second main cluster i.e. Cluster II was also sub divided into two minor sub-groups that is IIA and IIB having 5 and 9 genotypes respectively. These subgroups were further divided into minor groups. This indicated presence of considerable diversity in the genotypes studied and the most diverse cultivars were IR 98846-2-1-2-3 and IR 14D201. © 2020, Indian Society of Plant Breeders.
Morpho-molecular Diversity Analysis in Rice (Oryza sativa L.) Genotypes using Microsatellite Markers
(Agricultural Research Communication Centre, 2025) Simran K. Singh; Mounika Korada; Amrutlal R. Khaire; Dhirendra Kumar Singh; Sonali Vijay Habde; Prasanta Kumar Majhi; Bhawana Rai
Background: The insight concerning genetic diversity and relationship among the rice genotypes is a basic contribution to the crop improvement programs. The present field experiment was conducted to study the level of diversity present in 47 rice genotypes using both morphological and molecular analysis. Methods: The experiment was carried out at Agricultural Research Farm, Banaras Hindu University, Varanasi (U.P.), during Kharif-2019 with 47 rice genotypes. Mahalanobis’ D2 analysis was carried out to evaluate the morphological diversity present among the genotypes and 24 polymorphic SSR markers were used for molecular analysis using the NTSYSpc software. Result: Mahalanobis’ D2 grouped 47 rice genotypes into 6 clusters based on the inter-se genetic distance. The highest inter-cluster distance (1134.14) was observed between clusters II and IV indicating the genotypes present in these clusters to be highly divergent. Molecular diversity analysis grouped the 47 rice genotypes into 3 main clusters i.e., cluster I, cluster II and cluster III, which were further divided into sub-clusters. Polymorphic Information Content varied from 0.12 to 0.86, with an average of 0.465. The highest PIC value was observed for locus RM 507 (0.86). All the 24 primers showed polymorphism and the number of alleles was common for all i.e., 2. Together, the morphological and molecular diversity analysis revealed that Desi Dhan and IR 91143-AC 293-1, Desi Dhan and BD 105, IR 85850 and Lal Sundiya, Chauli and Swarna were the most diverse genotypes among the 47 rice genotypes included in the study. © (2025), (Agricultural Research Communication Centre). All rights reserved.
QTL mapping reveals different set of candidate genes governing stable and location specific QTLs enhancing zinc and iron content in rice
(Springer Science and Business Media B.V., 2024) Sonali Vijay Habde; Shravan Kumar Singh; Dhirendra Kumar Singh; Arun Kumar Singh; Rameswar Prasad Sah; Mounika Korada; Amrutlal R. Khaire; Prasanta Kumar Majhi; Uma Maheshwar Singh; Vikas Kumar Singh; Arvind Kumar
Rice is a cornerstone of global food security. Addressing contemporary dual challenge of global food and nutritional security, this study focuses on identification of genomic regions/QTLs that control uptake and translocation of micronutrients (Zn and Fe) in rice. Using mapping population derived from a cross between URG 30 (Zn 32.2 ppm and Fe 15.3 ppm) and Rajendra Kasturi (Zn 19.2 ppm and Fe 9.5 ppm), evaluated at three locations, we identified 8 QTLs each for grain Zn and Fe content distributed across 8 chromosomes. Notably 3 major QTLs for grain Zn content (chromosomes 1, 5 and 6) and 1 major QTL for grain Fe content (chromosome 3) were identified with phenotypic variance (PV) ranging from 10.7 to 15.19% for Zn and 12.10% for Fe. Two stable QTLs for grain Zn content (PV 5.89–8.98% and 3.18–13.62%) and one for Fe content (PV 1.84–7.59%) were consistently identified at two locations. Seven transgressive segregants for yield and Zn content are identified at two locations. Correlation analysis uncovered significant positive associations between grain Zn and Fe content. We also interpreted the functional role of 24 candidate genes including key candidates OsZIP1, OsSPR1, OsZIP2, OsPEZ1, OsZIP6, OsNAS1, OsNAS2, OsYSL3 underlying stable and location specific QTLs in the context of mineral uptake strategies utilized by rice. The research supports marker assisted breeding efforts towards substantial nutritional enhancement in rice grain. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.