Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10282
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dc.contributor.authorThakur, Shalini-
dc.contributor.authorMittal, Shikha [Guided by]-
dc.date.accessioned2023-10-30T06:22:08Z-
dc.date.available2023-10-30T06:22:08Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10282-
dc.descriptionEnrollment No. 217809en_US
dc.description.abstractThe purpose of this study was to find common single nucleotide polymorphisms (SNPs) associated with rice phenotypic traits. Genome-wide association studies assist scientists in identifying genes associated with a specific trait. A genome wide association study was performed in four rice trait (grain per plant, grain yield, grain yield per meter square, plant height) were selected to examine whether significant phenotypic variances exist in the yield among the 186 rice genotype. GWAS will perform in 186 rice varieties with 50051 highqualities SNPs. The full phenotypic data of rice core accessions were obtained from IARI. (ICAR- Indian Agricultural Research Institute). Manhattan plot show the significant value above the p-value >0.001. In this study, we did a comparative analysis between TASSEL software and GAPIT R package by using two univariate methods MLM and GLM.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectGenomeen_US
dc.subjectAgronomicsen_US
dc.subjectOryza sativaen_US
dc.subjectSingle nucleotide polymorphismsen_US
dc.titleGenome-Wide Association Studies of Four Agronomic Traits in Rice (Oryza sativa)en_US
dc.typeDissertationen_US
Appears in Collections:Dissertations (M.Sc.)

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