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QTL Meta-Analysis: An Approach to Detect Robust and Precise QTL
A large number of QTLs controlling important traits in different crops have been mapped but their deployment in the marker assisted selection (MAS)...
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Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean
BackgroundCommon bean ( Phaseolus vulgaris ) is considered a staple food in a number of develo** countries. Several diseases attack the crop leading...
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Meta-QTL analysis in wheat: progress, challenges and opportunities
Wheat, an important cereal crop globally, faces major challenges due to increasing global population and changing climates. The production and...
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Unraveling the genetic basis of quantitative resistance to diseases in tomato: a meta-QTL analysis and mining of transcript profiles
Key messageWhole-genome QTL mining and meta-analysis in tomato for resistance to bacterial and fungal diseases identified 73 meta-QTL regions with...
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Comprehensive meta-QTL analysis for dissecting the genetic architecture of stripe rust resistance in bread wheat
BackgroundYellow or stripe rust, caused by the fungus Puccinia striiformis f. sp. tritici ( Pst ) is an important disease of wheat that threatens...
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Comprehensive genetic analysis reveals seed germination activity-related QTL and meta-QTL in rice (Oryza sativa L.)
To get rice varieties with specific germination activity (GA) suitable for production and breeding, the genetic characteristics of GA were revealed...
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Identification of quantitative trait loci (QTL) and meta-QTL analysis for kernel size-related traits in wheat (Triticum aestivum L.)
BackgroundKernel size-related traits, including kernel length (KL), kernel width (KW), kernel diameter ratio (KDR) and kernel thickness (KT), are...
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Deciphering key genomic regions controlling flag leaf size in wheat via integration of meta-QTL and in silico transcriptome assessment
BackgroundGrain yield is a complex and polygenic trait influenced by the photosynthetic source-sink relationship in wheat. The top three leaves,...
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Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Zea mays L.) and their implications in breeding programs
Global climate change leads to the concurrence of a number of abiotic stresses including moisture stress (drought, waterlogging), temperature stress...
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Map** QTL for leaf pigment content at dynamic development stage and analyzing Meta-QTL in rice
Leaf pigment content is a complicated quantitative trait which results from the cooperation of multiple related genes or quantitative trait loci...
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Meta-QTL analysis explores the key genes, especially hormone related genes, involved in the regulation of grain water content and grain dehydration rate in maize
BackgroundLow grain water content (GWC) at harvest of maize ( Zea mays L.) is essential for mechanical harvesting, transportation and storage. Grain...
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Sequence-based GWAS meta-analyses for beef production traits
BackgroundCombining the results of within-population genome-wide association studies (GWAS) based on whole-genome sequences into a single...
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Meta-QTL and ortho analysis unravels the genetic architecture and key candidate genes for cold tolerance at seedling stage in rice
Rice, a critical cereal crop, grapples with productivity challenges due to its inherent sensitivity to low temperatures, primarily during the...
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Meta-analysis of Map** Studies: Integrating QTLs Towards Candidate Gene Discovery
Meta-analysis consists of pooling results from multiple studies, and allows prediction of more precise and meaningful data. A plethora of QTL map**...
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Major genomic regions responsible for wheat yield and its components as revealed by meta-QTL and genotype–phenotype association analyses
Main conclusionMeta-QTL (MQTL) analysis was done for yield-related traits in wheat. Candidate genes were identified within the refined MQTL and...
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Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL, significant SNP and transcriptomic data
BackgroundMeta-analysis of quantitative trait locus (QTL) is a computational technique to identify consensus QTL and refine QTL positions on the...
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Comparison of two multi-trait association testing methods and sequence-based fine map** of six additive QTL in Swiss Large White pigs
BackgroundGenetic correlations between complex traits suggest that pleiotropic variants contribute to trait variation. Genome-wide association...
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Genomic Insights on Global Journeys of Adaptive Wheat Genes that Brought Us to Modern Wheat
Since its first cultivation, hexaploid wheat has evolved, allowing for its widespread cultivation and contributing to global food security. The...
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X-linked genes influence various complex traits in dairy cattle
BackgroundThe search for quantitative trait loci (QTL) affecting traits of interest in mammals is frequently limited to autosomes, with the X...
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Mouse phenome database: curated data repository with interactive multi-population and multi-trait analyses
The Mouse Phenome Database continues to serve as a curated repository and analysis suite for measured attributes of members of diverse mouse...
