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Mapping Rice QTL to Genome: Comparative Study of Trait Ontology and Stress Responses

This study by Pankaj Jaiswal explores the comprehensive mapping of rice Quantitative Trait Loci (QTL) to the genome, focusing on various trait categories such as morphology, development, growth, and stress responses. By inferring the positions of QTL experimentally and through trait ontology, this research enhances understanding of biotic and abiotic stress impacts on rice, aiming to improve varietal quality and yield. The integration of biochemical parameters and sterility/fertility factors further contributes to a holistic view of rice genetics.

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Mapping Rice QTL to Genome: Comparative Study of Trait Ontology and Stress Responses

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Presentation Transcript

  1. Pankaj Jaiswal on TO

  2. Trait Categories Trait Ontology Morphology (M) Development and growth (D) Stature (S) Stress Biotic stress (B) Abiotic stress (A) Biochemical (C) Sterility/fertility (F) Quality (Q) Miscellanious (*) GRIN categories • Chemical • Cytologic • Disease • Insect • Growth • Morphology • Phenology • Production • Locus • Quality • Stress • Taxonomic • Comment • Uncategorized Descriptors

  3. Mapping Rice QTL To The Genome For Comparative Studies Inferred position experimental position

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