Results 1 to 10 of about 1,229,479 (285)

Combining two Meishan F2 crosses improves the detection of QTL on pig chromosomes 2, 4 and 6 [PDF]

open access: yesGenetics Selection Evolution, 2010
Background In pig, a number of experiments have been set up to identify QTL and a multitude of chromosomal regions harbouring genes influencing traits of interest have been identified. However, the mapping resolution remains limited in most cases and the
Bidanel Jean-Pierre   +5 more
doaj   +2 more sources

Of buds and bits: a meta-QTL study identifies stable QTL for berry quality and yield traits in cranberry mapping populations (Vaccinium macrocarpon Ait.)

open access: yesFrontiers in Plant Science
IntroductionFor nearly two centuries, cranberry (Vaccinium macrocarpon Ait.) breeders have improved fruit quality and yield by selecting traits on fruiting stems, termed “reproductive uprights.” Crop improvement is accelerating rapidly in contemporary ...
Andrew F. Maule   +14 more
doaj   +1 more source

MVQTLCIM: composite interval mapping of multivariate traits in a hybrid F1 population of outbred species

open access: yesBMC Bioinformatics, 2017
Background With the plummeting cost of the next-generation sequencing technologies, high-density genetic linkage maps could be constructed in a forest hybrid F1 population. However, based on such genetic maps, quantitative trait loci (QTL) mapping cannot
Fenxiang Liu   +7 more
doaj   +1 more source

vqtl: An R Package for Mean-Variance QTL Mapping

open access: yesG3: Genes, Genomes, Genetics, 2018
We present vqtl, an R package for mean-variance QTL mapping. This QTL mapping approach tests for genetic loci that influence the mean of the phenotype, termed mean QTL, the variance of the phenotype, termed variance QTL, or some combination of the two ...
Robert W. Corty, William Valdar
doaj   +1 more source

SNP-based linkage mapping for validation of adult plant stripe rust resistance QTL in common wheat cultivar Chakwal 86

open access: yesCrop Journal, 2019
Wheat crops in China are constantly challenged by stripe rust. Deployment of cultivars with diverse resistances is the best strategy to control the disease.
Qingdong Zeng   +10 more
doaj   +1 more source

Model selection for quantitative trait loci mapping in a full-sib family

open access: yesGenetics and Molecular Biology, 2012
Statistical methods for mapping quantitative trait loci (QTLs) in full-sib forest trees, in which the number of alleles and linkage phase can vary from locus to locus, are still not well established.
Chunfa Tong   +3 more
doaj  

Genetic Dissection of QTL Associated with Grain Yield in Diverse Environments

open access: yesAgronomy, 2014
Wheat (Triticum aestivum L.) breeding programs strive to increase grain yield; however, the progress is hampered due to its quantitative inheritance, low heritability, and confounding environmental effects. In the present study, a winter wheat population
Junli Zhang   +6 more
doaj   +1 more source

Identification of heat-tolerance QTLs and high-temperature stress-responsive genes through conventional QTL mapping, QTL-seq and RNA-seq in tomato

open access: yesBMC Plant Biology, 2019
Background High temperature is one of the major abiotic stresses in tomato and greatly reduces fruit yield and quality. Identifying high-temperature stress-responsive (HSR) genes and breeding heat-tolerant varieties is an effective way to address this ...
Junqin Wen   +7 more
doaj   +1 more source

Precision-mapping and statistical validation of quantitative trait loci by machine learning

open access: yesBMC Genetics, 2008
Background We introduce a QTL-mapping algorithm based on Statistical Machine Learning (SML) that is conceptually quite different to existing methods as there is a strong focus on generalisation ability.
Kowalczyk Adam   +3 more
doaj   +1 more source

Molecular mapping of important agro-botanic traits in sesame [PDF]

open access: yesElectronic Journal of Plant Breeding, 2014
Sesame (Sesamum indicum L.) ((2n=26) is one of the most ancient oilseed crop of the world. The present study was undertaken to develop a molecular map of the important agro-botanic traits in sesame.
P. Venkata Ramana Rao, & , K. Prasuna, G. Anuradha, A. Srividya, Lakshminarayana R Vemireddy, V. Gouri Shankar, S. Sridhar, M. Jayaprada, K. Raja Reddy, N.P. Eswara Reddy and E.A. Siddiq
doaj  

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