Identification of Related QTLs at Late Developmental Stage in Rice (Oryza sativa L.) Under Two Nitrogen Levels

Tong, Hanhua; Mei, Hanwei; Xing, Yu; Xu, Xiaoyan; Li, Mingshou; Zhang, Shanqing; Luo, Lijun

doi:10.1016/s0379-4172(06)60073-5

Cited by 36 publications

(23 citation statements)

References 19 publications

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“…Lemont (PI 475833) is a US tropical japonica rice cultivar with long-grain shape and earlier maturity than TeQing (PI 536047), an indica cultivar from China having medium-grain shape. The LT-RILs have been highly characterized and used in numerous QTL mapping studies including identification of loci affecting grain weight and shape (Li et al 1997 ; Xu et al 2004 ), grain yield (Li et al 1997 , 1998 ; Tong et al 2006 ), plant architecture (Li et al 1995 , 1998 , 1999b ; Mei et al 2005 ; Pinson et al 2005 ), days to flowering (Pinson et al 2005 , 2012 ), and disease resistance (Li et al 1999a ; Pinson et al 2005 , 2010 ; Tabien et al 2000 , 2002 ). By mapping ionomic QTLs in this highly characterized population, the genomic location of newly identified ionomic loci could be readily compared with loci previously reported for other traits.…”

Section: Methodsmentioning

confidence: 99%

Mapping and validation of quantitative trait loci associated with concentrations of 16 elements in unmilled rice grain

et al. 2013

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Key MessageQTLs controlling the concentrations elements in rice grain were identified in two mapping populations. The QTLs were clustered such that most genomic regions were associated with more than one element.AbstractIn this study, quantitative trait loci (QTLs) affecting the concentrations of 16 elements in whole, unmilled rice (Oryza sativa L.) grain were identified. Two rice mapping populations, the ‘Lemont’ × ‘TeQing’ recombinant inbred lines (LT-RILs), and the TeQing-into-Lemont backcross introgression lines (TILs) were used. To increase opportunity to detect and characterize QTLs, the TILs were grown under two contrasting field conditions, flooded and irrigated-but-unflooded. Correlations between the individual elements and between each element with grain shape, plant height, and time of heading were also studied. Transgressive segregation was observed among the LT-RILs for all elements. The 134 QTLs identified as associated with the grain concentrations of individual elements were found clustered into 39 genomic regions, 34 of which were found associated with grain element concentration in more than one population and/or flooding treatment. More QTLs were found significant among flooded TILs (92) than among unflooded TILs (47) or among flooded LT-RILs (40). Twenty-seven of the 40 QTLs identified among the LT-RILs were associated with the same element among the TILs. At least one QTL per element was validated in two or more population/environments. Nearly all of the grain element loci were linked to QTLs affecting additional elements, supporting the concept of element networks within plants. Several of the grain element QTLs co-located with QTLs for grain shape, plant height, and days to heading; but did not always differ for grain elemental concentration as predicted by those traits alone. A number of interesting patterns were found, including a strong Mg–P–K complex.Electronic supplementary materialThe online version of this article (doi:10.1007/s00122-013-2207-5) contains supplementary material, which is available to authorized users.

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Section: Methodsmentioning

confidence: 99%

Mapping and validation of quantitative trait loci associated with concentrations of 16 elements in unmilled rice grain

et al. 2013

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“…Leaf chlorophyll content was determined in the second youngest fully expanded leaf, using a handheld SPAD meter (SPAD 502, Minolta Camera Co. NJ, USA). The chlorophyll content was presented as SPAD readings (Hua et al 2006). At maturity, plant height and number of productive tillers were averaged based on three randomly selected plants and straw yields were recorded in all the RILs and parents on a whole plot basis.…”

Section: Methodsmentioning

confidence: 99%

Mapping Consistent Rice (Oryza sativa L.) Yield QTLs under Drought Stress in Target Rainfed Environments

Prince

Beena

Gomez

et al. 2015

Rice

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BackgroundDrought stress is a major limitation to rainfed rice production and yield stability. Identifying yield-associated quantitative trait loci (QTLs) that are consistent under drought stress predominant in target production environments, as well as across different genetic backgrounds, will help to develop high-yielding rice cultivars suitable for water-limited environments through marker-assisted breeding (MAB). Considerable progress has been made in mapping QTLs for drought resistance traits in rice; however, few have been successfully used in MAB.ResultsRecombinant inbred lines of IR20 × Nootripathu, two indica cultivars adapted to rainfed target populations of environments (TPEs), were evaluated in one and two seasons under managed stress and in a rainfed target drought stress environment, respectively. In the managed stress environment, the severity of the stress meant that measurements could be made only on secondary traits and biomass. In the target environment, the lines experienced varying timings, durations, and intensities of drought stress. The rice recombinant inbred lines exhibited significant genotypic variation for physio-morphological, phenological, and plant production traits under drought. Nine and 24 QTLs for physio-morphological and plant production traits were identified in managed and natural drought stress conditions in the TPEs, respectively. Yield QTLs that were consistent in the target environment over seasons were identified on chromosomes 1, 4, and 6, which could stabilize the productivity in high-yielding rice lines in a water-limited rainfed ecosystem. These yield QTLs also govern highly heritable key secondary traits, such as leaf drying, canopy temperature, panicle harvest index and harvest index.ConclusionThree QTL regions on chromosome 1 (RM8085), chromosome 4 (I12S), and chromosome 6 (RM6836) harbor significant additive QTLs for various physiological and yield traits under drought stress. The similar chromosomal region on 4 and 6 were found to harbor QTLs for canopy temperature and leaf drying under drought stress conditions. Thus, the identified large effect yield QTLs could be introgressed to develop rice lines with stable yields under varying natural drought stress predominant in TPEs.Electronic supplementary materialThe online version of this article (doi:10.1186/s12284-015-0053-6) contains supplementary material, which is available to authorized users.

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“…Almost all the N-related QTLs mapped in rice so far have smaller effects and many of them exhibit significant epistatic and QE interactions, making them less amenable to breeding programmes.TraitsPopulationCrossNo. of QTLsReferenceMQTLEQTLPHDHLIR64/Azucena10–Fang and Wu (2001)Rubisco, TLN, SPCBILNipponbare/Kasalath15–Ishimaru et al (2001)GS, GOGATBILNipponbare/Kasalath13–Obara et al (2001)GS, PN, PWNILKoshihikari/Kasalath1–Obara et al (2004)TGN, TSN, NUP, NUE, NTEF3Basmati370/ASD1643–Senthilvel et al (2004)RDW, SDW, BMRILZhenshan97/Minghui 6352103Lian et al (2005)PH, PN, CC, SDWCSSLTeqing/Lemont31–Tong et al (2006)TGN, TLN, TSN, NUP, SLNRILIR69093-4-3-2/IR7232–Laza et al (2006)RL, RT, RM, BM, etc.RILBala/Azucena17–MacMillan et al (2006)…”

Section: Quantitative Trait Loci For Molecular Breedingmentioning

confidence: 99%

Approaches towards nitrogen- and phosphorus-efficient rice

Vinod

Heuer

2012

AoB Plants

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Identification of Related QTLs at Late Developmental Stage in Rice (Oryza sativa L.) Under Two Nitrogen Levels

Cited by 36 publications

References 19 publications

Mapping and validation of quantitative trait loci associated with concentrations of 16 elements in unmilled rice grain

Mapping and validation of quantitative trait loci associated with concentrations of 16 elements in unmilled rice grain

Mapping Consistent Rice (Oryza sativa L.) Yield QTLs under Drought Stress in Target Rainfed Environments

Approaches towards nitrogen- and phosphorus-efficient rice

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