Title : Mapping of Quantitative Trait Locus QTL for drought tolerance in rice

Type of Material: Thesis
Title: Mapping of Quantitative Trait Locus QTL for drought tolerance in rice
Researcher: Chandrakant, Kaldate Rahul
Guide: Modi, Mahendra Kumar
Department: Department of Agricultural Biotechnology
Publisher: Assam Agricultural University, Johrat
Place: Johrat
Year: 2021
Language: English
Subject: Agricultural Sciences
Agriculture Multidisciplinary
Life Sciences
Biotechnology
Life Science
Dissertation/Thesis Note: PhD; Department of Agricultural Biotechnology, Assam Agricultural University, Johrat, Johrat; 2021
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_462959
040__|dIN-AhILN|aASAM_785013
041__|aeng
100__|eResearcher|aChandrakant, Kaldate Rahul
110__|aDepartment of Agricultural Biotechnology|0U-0048|dJohrat|bAssam Agricultural University, Johrat|ein
245__|aMapping of Quantitative Trait Locus QTL for drought tolerance in rice
260__|aJohrat|c2021|bAssam Agricultural University, Johrat
300__|dDVD
502__|d2021|bPhD|cDepartment of Agricultural Biotechnology, Assam Agricultural University, Johrat, Johrat
518__|d2021|oDate of Award
518__|d2017|oDate of Registration
518__|oDate of Completion|d2021
520__|aDrought is a major abiotic constraint for rice production worldwide. The reproductive stage drought stress (RSDS) leads to a huge loss in grain yield. The prospecting of new donor cultivars with identification and introgression of large effect drought tolerance related QTLs is essential to develop drought-tolerant rice varieties. The present study was conducted with the aim of mapping quantitative trait locus (QTLs) associated with drought tolerance in rice. With a total of 3417 GBS (Genotyping by sequencing) based polymorphic SNP (Single nucleotide polymorphism) markers distributed over the rice chromosomes a saturated linkage map spanning 1924.136 cM was constructed with an average marker density of 0.56 cM using an F3 mapping population developed by crossing traditional Ahu rice cultivar Koniahu (drought tolerant) with Disang (drought susceptible). Using inclusive composite interval mapping (ICIM) approach 172 genomic regions associated with grain yield and related traits were detected in 198 F3 and F4 s
650__|aBiotechnology|2UGC
650__|aLife Science|2AIU
653__|aAgricultural Sciences
653__|aAgriculture Multidisciplinary
653__|aLife Sciences
700__|aModi, Mahendra Kumar|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/490269|yShodhganga
905__|afromsg

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