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[PDF] Top 20 Characterizing the Saltol quantitative trait locus for salinity tolerance in rice

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Characterizing the Saltol quantitative trait locus for salinity tolerance in rice

Characterizing the Saltol quantitative trait locus for salinity tolerance in rice

... identified Saltol as the QTL with the highest significance for shoot Na–K ratio with an LOD of ...of Saltol between RM23 and RM140 ...SES tolerance scores or survival, it was assumed that by ... See full document

13

Introgression the Salinity Tolerance QTLs Saltol into AS996, the Elite Rice Variety of Vietnam

Introgression the Salinity Tolerance QTLs Saltol into AS996, the Elite Rice Variety of Vietnam

... single locus control- ling a trait of interest while retaining the essential char- acteristics of the recurrent parent ...target locus (“foreground ...target locus can be minimized ... See full document

7

Genetic mapping of quantitative trait loci associated with arsenic tolerance and accumulation in rice (<em>Oryza sativa</em> L.)

Genetic mapping of quantitative trait loci associated with arsenic tolerance and accumulation in rice (<em>Oryza sativa</em> L.)

... a tolerance index of ...Os01g01689 locus alters an amino acid from Ala to Thr (Supplementary data ...This locus is associated with the abiotic ...and salinity tolerance (Li and Xu 2007) ... See full document

112

qUVR-10, a Major Quantitative Trait Locus for Ultraviolet-B Resistance in Rice, Encodes Cyclobutane Pyrimidine Dimer Photolyase

qUVR-10, a Major Quantitative Trait Locus for Ultraviolet-B Resistance in Rice, Encodes Cyclobutane Pyrimidine Dimer Photolyase

... DNA marker analysis: For RFLP analysis, all probes used in this study were selected from a high-density rice genetic link- age map including 3267 markers (http://rgp.dna.affrc.go.jp/ ... See full document

10

hairy: A Quantitative Trait Locus for Drosophila Sensory Bristle Number

hairy: A Quantitative Trait Locus for Drosophila Sensory Bristle Number

... of quantitative traits, which is challenging since variation for complex traits is caused by multiple interacting quantitative trait loci (QTL) with small and conditional ... See full document

10

Novel methods for increasing efficiency of quantitative trait locus mapping

Novel methods for increasing efficiency of quantitative trait locus mapping

... incomplete trait data as an alternative method for multi- trait QTL ...single trait in different environments (locations or years), a mixed model allows treating environmental effect as a random and ... See full document

63

Fine mapping a quantitative trait locus, qSER-7, that controls stigma exsertion rate in rice (Oryza sativa L.)

Fine mapping a quantitative trait locus, qSER-7, that controls stigma exsertion rate in rice (Oryza sativa L.)

... (Xiong et al. 1999; Yue et al. 2009; Deng et al. 2010; Feng et al. 2010; Li et al. 2010; Deng et al. 2011; Chen et al. 2011; Li et al. 2017); recombinant inbred lines (Uga et al. 2003; Yamamoto et al. 2003; Shen et al. ... See full document

10

Rank-Based Statistical Methodologies for Quantitative Trait Locus Mapping

Rank-Based Statistical Methodologies for Quantitative Trait Locus Mapping

... This article addresses the identification of genetic loci (QTL and elsewhere) that influence nonnormal quantitative traits with focus on experimental crosses. QTL mapping is typically based on the assumption that ... See full document

8

Quantitative Trait Locus Analysis Using Recombinant Inbred Intercrosses

Quantitative Trait Locus Analysis Using Recombinant Inbred Intercrosses

... Mixed-model analysis: Assume the existence of major QTL Note that instead of permuting the genotypes of RIXs di- and polygenes, all affecting a trait of interest. In aggregate, rectly, we permute the genotypes of ... See full document

14

Quantitative Trait Locus Study Design From an Information Perspective

Quantitative Trait Locus Study Design From an Information Perspective

... We examine the efficiency of different genotyping and phenotyping strategies in inbred line crosses from an information perspective. This provides a mathematical framework for the statistical aspects of QTL experimental ... See full document

18

Molecular characterization for salinity tolerance in rice using microsatellite markers

Molecular characterization for salinity tolerance in rice using microsatellite markers

... Salt tolerance associated 14 microsatellite primer pairs based molecular analysis of the normal leaf, controlled callus and salt stressed callus of the six rice cultivars with differential responses to salt ... See full document

12

Expression quantitative trait locus analysis for translational medicine

Expression quantitative trait locus analysis for translational medicine

... Happily, there are several existing resources (highlighted in Table 1) that facilitate browsing by any investigators whether or not they have expertise in the underlying stat- istical methods. The GeneVar database [27] ... See full document

14

Identification of QTLS tolerance to salinity in rice (Oryza sativa L )

Identification of QTLS tolerance to salinity in rice (Oryza sativa L )

... the salinity tolerance of rice by using F2/F3 population which derived from the crossed combination between the Chanhtrui (high salinity tolerance) and Khangdan18 (susceptible) ... See full document

6

Honesty, power and bootstrapping in composite interval quantitative trait locus mapping

Honesty, power and bootstrapping in composite interval quantitative trait locus mapping

... Based on the results of this study and those of Li et al. [8] it seems likely that false QTL are a common feature of composite interval mapping studies that have used Zmapqtl Model 6 of QTL Cartographer. The false posi- ... See full document

14

Computation of the Full Likelihood Function for Estimating Variance at a Quantitative Trait Locus

Computation of the Full Likelihood Function for Estimating Variance at a Quantitative Trait Locus

... The conventional method of QTL variance analysis maximizes the likelihood function by replacing the missing IBDs by their conditional expectations (the expectation met[r] ... See full document

10

Identification of glucosinolate profile in Brassica oleracea for quantitative trait locus mapping

Identification of glucosinolate profile in Brassica oleracea for quantitative trait locus mapping

... map Quantitative Trait Loci for individual glucosinolates within Brassica oleracea mapping ...the quantitative measurements of glucosinolates, an optimized level of glucotropaeolin was used as an ... See full document

249

Poor Performance of Bootstrap Confidence Intervals for the Location of a Quantitative Trait Locus

Poor Performance of Bootstrap Confidence Intervals for the Location of a Quantitative Trait Locus

... T HERE is much interest in mapping the genetic loci (called quantitative trait loci, QTL) that contrib- ute to variation in a quantitative trait. Once such a QTL has been identified, interest ... See full document

9

Mapping of a quantitative trait locus for blood pressure on rat chromosome 2

Mapping of a quantitative trait locus for blood pressure on rat chromosome 2

... A genetic map for rat chromosome 2 that includes five candidate genes for blood pressure regulation was constructed in a region containing a quantitative trait locus (QTL) for blood pressure. Two F2 ... See full document

7

Development of highly recombinant inbred populations for quantitative-trait locus mapping

Development of highly recombinant inbred populations for quantitative-trait locus mapping

... underlying quantitative traits, for improving the performance and/or productivity of plants and animals and for understanding the genetic ...identifying quantitative trait loci (QTL) has been ... See full document

82

Estimation of Quantitative Trait Locus Effects with Epistasis by Variational Bayes Algorithms

Estimation of Quantitative Trait Locus Effects with Epistasis by Variational Bayes Algorithms

... of quantitative trait locus (QTL) map- ping and association studies is to find certain genomic regions, or QTL, that have nonnegligible contributions to the distribution of quantitative traits ... See full document

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