Software for the mapping of quantitative trait loci in experimental populations

By J. W. Ooijen. 2004

831 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fbbc50a2568721a641f8b3938a14c857d0a78e18

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Genetic Mapping of Sheath Blight Resistance QTLs within Tropical Japonica Rice Cultivars (2009, methodology): “…trait loci were identifi ed and validated using two analytical approaches and software programs: interval mapping (IM) using MapQTL 5.0 (Van Ooijen, 2004) and composite interval mapping (CIM) using Windows QTL Cartographer v. 2.5 (Wang et al., 2005; http://statgen.ncsu.edu/qtlcart/…”
REVIEW: PART OF A HIGHLIGHT ON BREEDING STRATEGIES FOR FORAGE AND GRASS IMPROVEMENT Will genomic selection be a practical method for plant breeding? (2012, methodology): “No user-friendly software has yet been developed, such as QTL Cartographer (Wang et al., 2011) and MapQTL (Van Ooijen, 2004) that are used in QTL analysis.”
QTLs for chlorophyll and chlorophyll fluorescence parameters in barley under post-flowering drought (2008, methodology): “For QTL detection, the MQM mapping was used to identify the QTLs for traits using MapQTL 5 program (Van Ooijen 2004).”
Validation of a QTL for resistance to ascochyta blight linked to resistance to fusarium wilt race 5 in chickpea (Cicer arietinum L.) (2007, methodology): “MAPQTL 5 software (Van Ooijen, 2004) was employed to locate putative QTL for ascochyta blight resistance considering the disease evaluation data from the two cropping seasons.”
Construction of a comprehensive PCR-based marker linkage map and QTL mapping for fiber quality traits in upland cotton (Gossypium hirsutum L.) (2009, methodology): “Multiple QTL mapping analysis of MapQTL 5.0 (Van Ooijen 2004) was used to identify QTL for fiber quality traits.”
Construction of a high density linkage map and its application in the identification of QTLs for soluble sugar and organic acid components in apple (2015, methodology): “The F 1 population mentioned above were used to construct genetic linkage maps using JoinMap version 4.0 software (Van Ooijen 2004), as previously described by Han et al. (2011) and Zhang et al. (2012).”
Fruit size QTL analysis of an F1 population derived from a cross between a domesticated sweet cherry cultivar and a wild forest sweet cherry (2009, methodology): “QTL detection was carried out for the parental maps using the MapQTL 5.0 software package (Van Ooijen 2004).”
Identification and validation of a major QTL for salt tolerance in soybean (2011, methodology): “QTL analysis was performed by using the MapQTL5 software (Van Ooijen 2004).”
Map position and functional allelic diversity of Md-Exp7, a new putative expansin gene associated with fruit softening in apple (Malus × domestica Borkh.) and pear (Pyrus communis) (2008, methodology): “QTL Analysis QTL analysis on the Prima × Fiesta phenotypic data set was performed with MapQTL® 5.0 software (Van Ooijen 2004).”
Inheritance of Flowering Time in Apricot (Prunus armeniaca L.) and Analysis of Linked Quantitative Trait Loci (QTLs) using Simple Sequence Repeat (SSR) Markers (2011, unknown): “Quantitative Trait Loci Analysis Quantitative trait loci (QTL) effects related to flowering time were detected using the simple interval mapping procedure of MapQTL 5.0 software (Van Ooijen 2004).”
A major QTL controlling seed dormancy and pre-harvest sprouting resistance on chromosome 4A in a Chinese wheat landrace (2008, methodology): “For QTL analysis, interval mapping (IM) and composite interval mapping (CIM) were performed with MapQTL Version 5 (Van Ooijen 2004).”
High density SNP mapping and QTL analysis for fruit quality characteristics in peach (Prunus persica L.) (2012, methodology): “QTL analysis of M, FBr, and FBL was performed with MapQTL® 5.0 (Van Ooijen 2004).”
QTL analysis and candidate gene mapping for skin and flesh color in sweet cherry fruit (Prunus avium L.) (2010, methodology): “QTL analysis was done using MapQTL 5.0 (Van Ooijen 2004).”