Agronomic and molecular marker evaluation of selected f<sub>4</sub> plants of rice (<i>oryza sativa</i> L.) under aerobic conditions

Kumar, Kuldeep; Rani, Kanika; Meena, Rahul Kumar; Mahavir,; Jain, R. K.; Jain, Sunita

doi:10.5958/2395-146x.2018.00003.0

Cited by 3 publications

(3 citation statements)

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“…The cultivation practices and phenotyping was done in both field and net house conditions as described by Kumar et al (2018) for two seasons, viz. 2013-14 and 2014-15. The data were recorded for Plant height (cm), Effective number of tillers per plant, Panicle length (cm), Grain yield per plant (g), 1000-grain weight (g), Length/Breadth ratio, Root length (g), Fresh and dry root weight (g) and Root thickness (cm).…”

Section: Phenotypingmentioning

confidence: 99%

Microsatellite diversity analysis and QTL identification among progenies derived from aerobic Ã— basmati rice (Oryza sativa) cross under direct-seeded conditions

Meena¹,

Kumar

Bhusal

et al. 2020

Indian J Agri Sci

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The present investigation was designed to identify QTL associated with various traits under aerobic condition using F3 and F4 population derived from the cross MASARB25 (aerobic rice) and IB370 (basmati rice). The phenotyping was done in both field and net house conditions during the kharif seasons of 2013-14 and 2014-15. The result indicated high variation among the population for studied traits and parabolic frequency distribution was recorded for panicle length, effective number of tillers/plant, 1000-grain weight while, for grain length/breadth ratio and root thickness, frequency distribution curve were skewed toward MASARB25. Composite interval mapping identified total 16 QTLs on chromosomes 1, 2, 3, 4, 6, 9, 10 and 12 during both the years. Maximum QTL were detected for grain lengthbreadth ratio. LOD score of these QTLs ranged from 2.88 (qENT12.1) to 5.51 (qLB3.1) and explained 61.63% and 69.04% variance, respectively. The QTL mapped for grain yield/plant (qGYP6.1) on chromosome 6 had LOD score of 2.90 and explained 28.4% phenotypic variation. The identified QTL in present investigation showed high phenotypic variation, hence after validation these QTLs could be used for the improvement of rice under aerobic condition.

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Section: Phenotypingmentioning

confidence: 99%

Microsatellite diversity analysis and QTL identification among progenies derived from aerobic Ã— basmati rice (Oryza sativa) cross under direct-seeded conditions

Meena¹,

Kumar

Bhusal

et al. 2020

Indian J Agri Sci

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“…Similarly QTL analysis in progenies derived from cross between Dular (drought-tolerant) and IR64-21 (drought susceptible) lines revealed three major consistent-effect QTLs for grain yield (qDTY1.1, qDTY1.3, and qDTY8.1) under non-stress and reproductive-stage drought stress conditions, and 2 QTLs for root traits (qRT9.1 for root-growth angle and qRT5.1 for multiple root traits, i.e., seedling-stage root length, root dry weight and crown root number) (Catolos et al 2017). Kumar et al (2018), Rani et al (2017), Kumar et al (2017) used markers already reported to be linked with adaptation in aerobic environment to select the putative progenies in F3 and F4 generations. Meena et al (2018) developed F 3 and F 4 population derived from MAS25 (aerobic rice) × IB370 (lowland basmati) and analyzed them for different physiomorphological traits under aerobic conditions.…”

Section: Marker-assisted Selection For Traits Promoting Aerobic Adaptmentioning

confidence: 99%

Intervention of molecular breeding in water saving rice production system: aerobic rice

et al. 2019

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The aerobic rice system/methods developed to tackle shortage of water, is a sustainable method to enhance rice productivity. Approximately 50% of irrigation water could be saved using this system in contrast to lowland rice cultivation. The crop can be directly seeded or transplanted in dry soil in this system rather than irrigated system of rice production. Here in this review we had tried to present all the important development made in regards to aerobic rice. Many QTLs responsible for aerobic traits in rice that have been mapped already are enlisted here. Brief comparisons of aerobic rice and conventional rice, further improvements made in aerobic rice have also been discussed.

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“…Selvi et al [ 222 ] have pyramided lines with maximum root length QTLs ( qRT11-7 × qRT18-1 + 7-32 ) suitable for resource-limited environments. MAS has also been used for selecting novel or candidate alleles responsible for aerobic adaptation under reproductive-stage drought stress [ 223 , 224 , 225 , 226 ]. Three major consistent-effect QTLs ( qDTY 1.1 , qDTY 1.3 , and qDTY 8.1 ) for grain yield and reproductive-stage drought stress were reported by Catolos et al [ 227 ] from the drought-tolerant donor Dular.…”

Section: Qtl Identification and Introgression Of Root Architecture Qtls For Dsr Using A Marker-assisted Backcross Breeding Approachmentioning

confidence: 99%

Proofing Direct-Seeded Rice with Better Root Plasticity and Architecture

Panda

Majhi

Anandan

et al. 2021

IJMS

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The underground reserve (root) has been an uncharted research territory with its untapped genetic variation yet to be exploited. Identifying ideal traits and breeding new rice varieties with efficient root system architecture (RSA) has great potential to increase resource-use efficiency and grain yield, especially under direct-seeded rice, by adapting to aerobic soil conditions. In this review, we tried to mine the available research information on the direct-seeded rice (DSR) root system to highlight the requirements of different root traits such as root architecture, length, number, density, thickness, diameter, and angle that play a pivotal role in determining the uptake of nutrients and moisture at different stages of plant growth. RSA also faces several stresses, due to excess or deficiency of moisture and nutrients, low or high temperature, or saline conditions. To counteract these hindrances, adaptation in response to stress becomes essential. Candidate genes such as early root growth enhancer PSTOL1, surface rooting QTL qSOR1, deep rooting gene DRO1, and numerous transporters for their respective nutrients and stress-responsive factors have been identified and validated under different circumstances. Identifying the desired QTLs and transporters underlying these traits and then designing an ideal root architecture can help in developing a suitable DSR cultivar and aid in further advancement in this direction.

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Agronomic and molecular marker evaluation of selected f₄ plants of rice (oryza sativa L.) under aerobic conditions

Cited by 3 publications

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Microsatellite diversity analysis and QTL identification among progenies derived from aerobic Ã— basmati rice (Oryza sativa) cross under direct-seeded conditions

Microsatellite diversity analysis and QTL identification among progenies derived from aerobic Ã— basmati rice (Oryza sativa) cross under direct-seeded conditions

Intervention of molecular breeding in water saving rice production system: aerobic rice

Proofing Direct-Seeded Rice with Better Root Plasticity and Architecture

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Agronomic and molecular marker evaluation of selected f4 plants of rice (oryza sativa L.) under aerobic conditions

Cited by 3 publications

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Microsatellite diversity analysis and QTL identification among progenies derived from aerobic Ã— basmati rice (Oryza sativa) cross under direct-seeded conditions

Microsatellite diversity analysis and QTL identification among progenies derived from aerobic Ã— basmati rice (Oryza sativa) cross under direct-seeded conditions

Intervention of molecular breeding in water saving rice production system: aerobic rice

Proofing Direct-Seeded Rice with Better Root Plasticity and Architecture

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Agronomic and molecular marker evaluation of selected f₄ plants of rice (oryza sativa L.) under aerobic conditions