Mapping genes controlling root morphology and root distribution in a doubled-haploid population of rice

Yadav, Rattan; Courtois, B.; Huang, Ning; McLaren, Graham

doi:10.1007/s001220050459

Cited by 246 publications

(133 citation statements)

References 10 publications

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“…SL, MRL, and SDW showing positive and significant correlation with each other under control and stress conditions indicate indirect selection of one by the other trait possible. These results are in conformity with the earlier findings [10,33,34]. Whereas under control condition, MRL was positively correlated with RDW, while under the stress it showed negative correlation with RDW.…”

Section: Discussionsupporting

confidence: 82%

“…Quantitative trait loci (QTL) approach has helped to identify QTL for the stress tolerance related traits including length, weight and thickness of root and shoot height, leaf rolling and osmotic adjustment under hydroponics [6][7][8] and other artificially created stress conditions [7,[9][10][11][12][13][14][15][16]. The root-related characters have recently been used in breeding for tolerance to the stress [17,18] using marker assisted selection.…”

Section: Introductionmentioning

confidence: 99%

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Molecular Mapping of QTLs for Drought Related Traits at Seedling Stage under PEG Induced Stress Conditions in Rice

Srividya¹,

Vemireddy²,

Ramanarao³

et al. 2011

AJPS

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Differential response of seedling characteristics under water stress conditions is known to be associated with drought resistance in rice and elucidation of its genetics could be of help in breeding for tolerance to the stress. A recombinant inbred population derived from the cross between a semi-dwarf variety IR64 and landrace INRC10192 was grown in hydroponic culture and phenotyped for varied responses of seedlings to water deficit imposed by poly ethylene glycol (PEG). The ratio between mean value of seedling trait under stress and control conditions was used for assessing drought tolerance. In all 19 putative QTLs relating to five seedling traits viz., shoot length, maximum root length, shoot dry weight, root dry weight and root to shoot dry weight ratio under PEG induced stress conditions were identified confirms that the traditional tall landraces as

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Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Molecular Mapping of QTLs for Drought Related Traits at Seedling Stage under PEG Induced Stress Conditions in Rice

Srividya¹,

Vemireddy²,

Ramanarao³

et al. 2011

AJPS

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“…A common example is to target genes related to root morphology through a mapping approach, whereby traits are identified through genetic crosses using distinct populations, and then quantitative trait loci (QTLs) can be cloned by positional cloning [79][80][81]. To date, studies have been carried out to identify root morphological features such as root mass and depth, root axis length, and lateral branching related to NUE [82][83][84].…”

Section: Increasing Uptake Capacitymentioning

confidence: 99%

Nitrogen Use Efficiency in Rice

Huang¹,

Zhao²,

Zhang³

et al. 2018

Nitrogen in Agriculture - Updates

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Food security is a major global issue because of the growing population and decreasing land area. Rice (Oryza sativa L.) is the most important staple cereal crop in the world. Application of nitrogen (N) fertilizer has improved crop yield in the world during the past five decades but with considerable negative impacts on the environment. New solutions are therefore urgently needed to simultaneously increase yields while maintaining or preferably decreasing applied N to maximize the nitrogen use efficiency (NUE) of crops. Plant NUE is inherently complex with each step (including N uptake, translocation, assimilation, and remobilization) governed by multiple interacting genetic and environmental factors. Based on the current knowledge, we propose some possible approaches enhancing NUE, by molecular manipulation selecting candidate genes and agricultural integrated management practices for NUE improvement. Developing an integrated research program combining approaches, mainly based on whole-plant physiology, quantitative genetics, forward and reverse genetics, and agronomy approaches to improve NUE, is a major objective in the future.

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“…Only four rice populations have been tagged for QTLs associated with the expression of root morphology traits under hydroponic (Price and Tomos 1997), aerobic (Champoux et al 1995;Yadav et al 1997), or anaerobic (Kamoshita et al 2002) conditions. The small number of populations may limit extrapolation of the results from experimental populations to other breeding populations.…”

mentioning

confidence: 99%

Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions

et al. 2002

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In the rainfed lowlands, rice ( Oryza sativa L.) develops roots under anaerobic soil conditions with ponded water, prior to exposure to water stress and aerobic soil conditions that arise later in the season. Constitutive root system development in anaerobic soil conditions has been reported to have a positive effect on subsequent expression of adaptive root traits and water extraction during progressive water stress in aerobic soil conditions. We examined quantitative trait loci (QTLs) for constitutive root morphology traits using a mapping population derived from a cross between two rice lines which were well-adapted to rainfed lowland conditions. The effects of phenotyping environment and genetic background on QTLs identification were examined by comparing the experimental data with published results from four other populations. One hundred and eighty-four recombinant inbred lines (RILs) from a lowland indica cross (IR58821/IR52561) were grown under anaerobic conditions in two experiments. Seven traits, categorized into three groups (shoot biomass, deep root morphology, root thickness) were measured during the tillering stage. Though parental lines showed consistent differences in shoot biomass and root morphology traits across the two seasons, genotype-by-environment interaction (GxE) and QTL-by-environment interaction were significant among the progeny. Two, twelve, and eight QTLs for shoot biomass, deep root morphology, and root thickness, respectively, were identified, with LOD scores ranging from 2.0 to 12.8. Phenotypic variation explained by a single QTL ranged from 6% to 30%. Only two QTLs for deep root morphology, in RG256-RG151 in chromosome 2 and in PC75M3-PC11M4 in chromosome 4, were identified in both experiments. Comparison of positions of QTLs across five mapping populations (the current population plus populations from four other studies) revealed that these two QTLs for deep root morphology were only identified in populations that were phenotyped under anaerobic conditions. Fourteen and nine chromosome regions overlapped across different populations as putative QTLs for deep root morphology and root thickness, respectively. PC41M2-PC173M5 in chromosome 2 was identified as an interval that had QTLs for deep root morphology in four mapping populations. The PC75M3-PC11M4 interval in chromosome 4 was identified as a QTL for root thickness in three mapping populations with phenotypic variation explained by a single QTL consistently as large as 20-30%. Three QTLs for deep root morphology were found only in japonica/indica populations but not in IR58821/IR52561. The results identifying chromosome regions that had putative QTLs for deep root morphology and root thickness over different mapping populations indicate potential for marker-assisted selection for these traits.

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Mapping genes controlling root morphology and root distribution in a doubled-haploid population of rice

Cited by 246 publications

References 10 publications

Molecular Mapping of QTLs for Drought Related Traits at Seedling Stage under PEG Induced Stress Conditions in Rice

Molecular Mapping of QTLs for Drought Related Traits at Seedling Stage under PEG Induced Stress Conditions in Rice

Nitrogen Use Efficiency in Rice

Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions

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