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Phenotyping, microsatellite marker analysis and linkage mapping of QTL for agronomic and root traits using IB370 × MAS-ARB25 F2 rice (Oryza sativa L.) population grown under aerobic conditions

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Title Phenotyping, microsatellite marker analysis and linkage mapping of QTL for agronomic and root traits using IB370 × MAS-ARB25 F2 rice (Oryza sativa L.) population grown under aerobic conditions
 
Creator Yogi, Rajesh
Kumar, Naveen
Meena, Rahul Kumar
Jain, Rajinder Kumar
 
Subject QTL
aerobic rice
molecular marker and water scarcity
 
Description 91-100
Expanding water shortage, environmental change and decline water table level are the major hindrance for lowland
basmati rice variety development in northern parts of India including Haryana. Rice is the absolute most client of fresh
irrigated water as it devours 70% of the complete water accessible. More rice is needed to generate to take care of the
expanding populace. The promising way to deal with battle the water shortage can be aerobic rice. Aerobic rice is a budding
cultivation system that requires no puddling, no transplanting and without need of frequent irrigation than conventional
flooded rice. The worth of basmati rice breeding can significantly improve through marker assisted selection (MAS). In the
present study, experiments were conducted to assess F2 generation obtained from IB370 × MAS-ARB25 for various
agronomic qualities. Grain yield/plant indicated impressive positive relationship (r = 0.25) with root thickness in F2
population. Fifty eight polymorphic SSR markers dispersed on the entire genome of rice were utilized for planning DNA
fingerprint data set of the isolating IB370 × MAS-ARB25 F2 population. Composite interval mapping analysis by WinQTL
cartographer version 2.5 revealed a sum of 7 quantitative trait loci (QTLs) (three QTL for agronomic traits and four for root
traits). The selected promising F2 plants were additionally checked for these putative QTLs recognized in the F2 populace,
which were available in homozygous/heterozygous state in high frequencies.
 
Date 2021-11-17T10:39:10Z
2021-11-17T10:39:10Z
2021-01
 
Type Article
 
Identifier 0975-0967 (Online); 0972-5849 (Print)
http://nopr.niscair.res.in/handle/123456789/58533
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source IJBT Vol.20(1) [January 2021]