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Identification of Quantitative Trait Loci Determining Vegetative Growth Traits in Coffea Canephor [PDF]
, 2011 Recently the use of molecular markers has been successfully applied for some crops. For coffee, new opportunities have been opened since Nestlé R&D Centre in collaboration with ICCRI completed the first genetic map of Coffea canephora. This study was
Crouzillat, C. (Crouzillat) +2 more
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MAPPING GENES FOR QUANTITATIVE TRAITS USING SELECTED SAMPLES OF SIBLING PAIRS [PDF]
, 2004 One of the most important research areas in human genetics is the effort to map genes associated with complex diseases such as cancer, heart disease, and diabetes.
Szatkiewicz, Jin Peng
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QTL Mapping via GeneNetwork.org v1
The use of GeneNetwork.org for identifying quantitative trait loci. Rich datasets available for mapping a wide range of traits to genomic variation.
Dow Michael Glikman +2 more
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Conference on Applied Statistics in Agriculture, 2009 Cherie A. Ochsenfeld +2 more
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Fine QTL mapping of pig QTL in France
, 2004 Bidanel, Jean Pierre, Milan, Denis
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QTL mapping designs for aquaculture
Aquaculture, 2008Rapid development of genomics technology is providing new opportunities for genetic studies, including QTL mapping, in many aquaculture species. This paper investigates the strengths and limitations of QTL mapping designs for fish and shellfish under three different controlled breeding schemes.
Massault, C. +3 more
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Box–Cox transformation for QTL mapping
Genetica, 2006The maximum likelihood method of QTL mapping assumes that the phenotypic values of a quantitative trait follow a normal distribution. If the assumption is violated, some forms of transformation should be taken to make the assumption approximately true. The Box-Cox transformation is a general transformation method which can be applied to many different ...
Runqing, Yang, Nengjun, Yi, Shizhong, Xu
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Quantitative Trait Loci (QTL) Mapping
2019Quantitative trait loci (QTL) are genetic regions that influence phenotypic variation of a complex trait, often through genetic interactions with each other and the environment. These are commonly identified through a statistical genetic analysis known as QTL mapping. Here, I present a step-by-step, practical approach to QTL mapping along with a sample
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