نتایج جستجو برای: quantitative traits loci salinity

تعداد نتایج: 470036  

Journal: :Agronomy 2021

Seed germination and seedling establishment are the most critical stages in barley (Hordeum vulgare ssp. L.) life cycle that contribute substantially to grain yield. These two phases exposed several forms of environmental stresses such as salinity due high level salt accumulation soil rhizosphere where seed takes place seedlings emerge from. Previously, we have reported genotypic variability in...

A. K. Esmailizadeh E. Nasirifar H. Moradian S. S. Sohrabi

The objective of this study was to identify the quantitative trait loci (QTL) affecting carcass traits on chromosome 1 in Japanese quail. The populations comprised of 422 progeny in 9 half-sib families. Phenotypic data on carcass weight, carcass parts, and the internal organs were collected on 422 progeny. Nine half-sib families were genotyped for 8 microsatellite markers covering chromosomes 1...

Journal: :Journal of dairy science 2000
C Schrooten H Bovenhuis W Coppieters J A Van Arendonk

A granddaughter design was used to locate quantitative trait loci determining conformation and functional traits in dairy cattle. In this granddaughter design, consisting of 20 Holstein Friesian grandsires and 833 sons, genotypes were determined for 277 microsatellite markers covering the whole genome. Breeding values for 27 traits, regarding conformation (18), fertility (2), birth (4), workabi...

Journal: :G3 2015
Martin Johnsson Kenneth B Jonsson Leif Andersson Per Jensen Dominic Wright

Life history traits such as fecundity are important to evolution because they make up components of lifetime fitness. Due to their polygenic architectures, such traits are difficult to investigate with genetic mapping. Therefore, little is known about their molecular basis. One possible way toward finding the underlying genes is to map intermediary molecular phenotypes, such as gene expression ...

Journal: :Trends in genetics : TIG 1995
C W Stuber

Maize has been used effectively as a model organism in the development and evaluation of molecular markers for the identification, mapping and manipulation of major genes affecting the expression of quantitative traits in plants. Although quantitative geneticists have recognized the possibility of major loci, the general dogma had emerged that quantitative traits were controlled by many loci, e...

Journal: :Genetics 1988
J I Weller M Soller T Brody

Linkage relationships between loci affecting quantitative traits (QTL) and marker loci were examined in an interspecific cross between Lycopersicon esculentum and Lycopersicon pimpinellifolium. Parental lines differed for six morphological markers and for four electrophoretic markers. Almost 1700 F-2 plants were scored with respect to the genetic markers and also with respect to 18 quantitative...

2015
Nicholette D. Palmer Mark O. Goodarzi Carl D. Langefeld Nan Wang Xiuqing Guo Kent D. Taylor Tasha E. Fingerlin Jill M. Norris Thomas A. Buchanan Anny H. Xiang Talin Haritunians Julie T. Ziegler Adrienne H. Williams Darko Stefanovski Jinrui Cui Adrienne W. Mackay Leora F. Henkin Richard N. Bergman Xiaoyi Gao James Gauderman Rohit Varma Craig L. Hanis Nancy J. Cox Heather M. Highland Jennifer E. Below Amy L. Williams Noel P. Burtt Carlos A. Aguilar-Salinas Alicia Huerta-Chagoya Clicerio Gonzalez-Villalpando Lorena Orozco Christopher A. Haiman Michael Y. Tsai W. Craig Johnson Jie Yao Laura Rasmussen-Torvik James Pankow Beverly Snively Rebecca D. Jackson Simin Liu Jerry L. Nadler Fouad Kandeel Yii-Der I. Chen Donald W. Bowden Stephen S. Rich Leslie J. Raffel Jerome I. Rotter Richard M. Watanabe Lynne E. Wagenknecht

Insulin sensitivity, insulin secretion, insulin clearance, and glucose effectiveness exhibit strong genetic components, although few studies have examined their genetic architecture or influence on type 2 diabetes (T2D) risk. We hypothesized that loci affecting variation in these quantitative traits influence T2D. We completed a multicohort genome-wide association study to search for loci influ...

Journal: :Bioinformatics 2011
Haimao Zhan Xin Chen Shizhong Xu

MOTIVATION Most biological traits may be correlated with the underlying gene expression patterns that are partially determined by DNA sequence variation. The correlations between gene expressions and quantitative traits are essential for understanding the functions of genes and dissecting gene regulatory networks. RESULTS In the present study, we adopted a novel statistical method, called the...

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