(Q47630517)

4 February 2018

title

Multivariate whole genome average interval mapping: QTL analysis for multiple traits and/or environments (English)

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4 February 2018

main subject

multivariate statistics

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inferred from title

whole genome sequencing

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Arūnas P Verbyla

1

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4 February 2018

Brian R Cullis

series ordinal

2

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4 February 2018

language of work or name

English

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publication date

13 June 2012

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4 February 2018

Theoretical and Applied Genetics

published in

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4 February 2018

volume

125

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4 February 2018

issue

5

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4 February 2018

page(s)

933-953

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4 February 2018

https://scigraph.springernature.com/pub.10.1007/s00122-012-1884-9

exact match

0 references

cites work

A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize

1 reference

https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

Mapping density response in maize: a direct approach for testing genotype and treatment interactions.

21 January 2018

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Small sample inference for fixed effects from restricted maximum likelihood.

21 January 2018

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https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

Map Manager QTX, cross-platform software for genetic mapping

21 January 2018

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https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

Genetic control of wheat quality: interactions between chromosomal regions determining protein content and composition, dough rheology, and sponge and dough baking properties.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

Recovery of inter-block information when block sizes are unequal

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend

21 January 2018

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https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit.

21 January 2018

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https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

Detection and use of QTL for complex traits in multiple environments.

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

That BLUP is a Good Thing: The Estimation of Random Effects

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.)

21 January 2018

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https://api.crossref.org/works/10.1007%2FS00122-012-1884-9

Controlling the type I and type II errors in mapping quantitative trait loci.

21 January 2018

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12 December 2020

Estimating the genetic architecture of quantitative traits

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12 December 2020

Theoretical basis of the Beavis effect.

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12 December 2020

The analysis of QTL by simultaneous use of the full linkage map

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12 December 2020

Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects

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12 December 2020

Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers

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12 December 2020

Multiple trait analysis of genetic mapping for quantitative trait loci.

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12 December 2020

Multi-trait QTL mapping in barley using multivariate regression

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12 December 2020

A comparison of bivariate and univariate QTL mapping in livestock populations

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12 December 2020

A simple regression method for mapping quantitative trait loci in line crosses using flanking markers

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12 December 2020

Interval mapping of quantitative trait loci employing correlated trait complexes.

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12 December 2020

Precision mapping of quantitative trait loci

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12 December 2020

Comparison of three multitrait methods for QTL detection

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12 December 2020

Multitrait least squares for quantitative trait loci detection.

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12 December 2020

Multitrait fine mapping of quantitative trait loci using combined linkage disequilibria and linkage analysis.

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12 December 2020

A mixed-model approach to mapping quantitative trait loci in barley on the basis of multiple environment data

1 reference

12 December 2020

10.1007/S00122-012-1884-9

Identifiers

DOI

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4 February 2018

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4 February 2018