Quantitative trait loci mapping and meta-analysis across three generations for popping characteristics in popcorn

2012 ◽  
Vol 56 (3) ◽  
pp. 581-586 ◽  
Author(s):  
Dong Yongbin ◽  
Zhang Zhongwei ◽  
Shi Qingling ◽  
Wang Qilei ◽  
Zhou Qiang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Meta Analysis ◽  
Quantitative Trait Loci Mapping ◽  
Three Generations ◽  
Trait Loci

Meta-analysis of results from quantitative trait loci mapping studies on pig chromosome 4

2010 ◽  
Vol 42 (3) ◽  
pp. 280-292 ◽  
Author(s):  
K. M. Silva ◽  
J. W. M. Bastiaansen ◽  
E. F. Knol ◽  
J. W. M. Merks ◽  
P. S. Lopes ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Meta Analysis ◽  
Quantitative Trait Loci Mapping ◽  
Chromosome 4 ◽  
Trait Loci ◽  
Analysis Of Results

scholarly journals Quantitative trait loci mapping in dairy cattle: review and meta-analysis

2004 ◽  
Vol 36 (2) ◽  
pp. 163 ◽  
Author(s):  
Mehar S Khatkar ◽  
Peter C Thomson ◽  
Imke Tammen ◽  
Herman W Raadsma
Keyword(s):  
Quantitative Trait Loci ◽  
Dairy Cattle ◽  
Quantitative Trait ◽  
Meta Analysis ◽  
Quantitative Trait Loci Mapping ◽  
Trait Loci

scholarly journals Quantitative Trait Loci: A Meta-analysis

Genetics ◽  
2000 ◽  
Vol 155 (1) ◽  
pp. 463-473
Author(s):  
Bruno Goffinet ◽  
Sophie Gerber
Keyword(s):  
Quantitative Trait Loci ◽  
Confidence Interval ◽  
Quantitative Trait ◽  
Meta Analysis ◽  
Trait Loci ◽  
Akaike Criterion ◽  
Using Data

Abstract This article presents a method to combine QTL results from different independent analyses. This method provides a modified Akaike criterion that can be used to decide how many QTL are actually represented by the QTL detected in different experiments. This criterion is computed to choose between models with one, two, three, etc., QTL. Simulations are carried out to investigate the quality of the model obtained with this method in various situations. It appears that the method allows the length of the confidence interval of QTL location to be consistently reduced when there are only very few “actual” QTL locations. An application of the method is given using data from the maize database available online at http://www.agron.missouri.edu/.

Quantitative Trait Loci Influencing Mycotoxin Contamination of Maize: Analysis by Linkage Mapping, Characterization of Near-Isogenic Lines, and Meta-Analysis

Crop Science ◽  
2014 ◽  
Vol 54 (1) ◽  
pp. 127-142 ◽  
Author(s):  
Santiago X. Mideros ◽  
Marilyn L. Warburton ◽  
Tiffany M. Jamann ◽  
Gary L. Windham ◽  
W. Paul Williams ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Linkage Mapping ◽  
Meta Analysis ◽  
Near Isogenic Lines ◽  
Mycotoxin Contamination ◽  
Isogenic Lines ◽  
Trait Loci

Quantitative trait loci mapping for biomass yield traits in a Lolium inbred line derived F2 population

Euphytica ◽  
2009 ◽  
Vol 170 (1-2) ◽  
pp. 99-107 ◽  
Author(s):  
U. C. M. Anhalt ◽  
J. S. Heslop-Harrison (Pat) ◽  
H. P. Piepho ◽  
S. Byrne ◽  
S. Barth
Keyword(s):  
Quantitative Trait Loci ◽  
Inbred Line ◽  
Quantitative Trait ◽  
Biomass Yield ◽  
Yield Traits ◽  
Quantitative Trait Loci Mapping ◽  
F2 Population ◽  
Trait Loci

Genes and Quantitative Trait Loci Mapping for Major Agronomic Traits in Brassica napus L.

2018 ◽  
pp. 41-85 ◽  
Author(s):  
Régine Delourme ◽  
Anne Laperche ◽  
Anne-Sophie Bouchet ◽  
Mélanie Jubault ◽  
Sophie Paillard ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Quantitative Trait Loci Mapping ◽  
Brassica Napus L ◽  
Trait Loci
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