Abstract
Binbin Du, Genlou Sun, Qingsong Xiong, Xifeng Ren, Baowei Lu
Abstract
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On the origin and domestication history of Barley (Hordeum vulgare)
10.1093/oxfordjournals.molbev.a026330 · 2000
Use of component analysis in QTL mapping of complex crop traits: a case study on yield in barley
10.1046/j.1439-0523.2002.729117.x · 2002
Analysis of QTLs for yield, yield components, and malting quality in a BC3-DH population of spring barley
10.1007/s00122-004-1847-x · 2005
Identification and verification of QTLs for agronomic traits using wild barley introgression lines
10.1007/s00122-008-0915-z · 2009
The barley Uniculme4 gene encodes a BLADE-ON-PETIOLE-like protein that controls tillering and leaf patterning
10.1104/pp.114.252882 · 2015
QTL underlying some agronomic traits in barley detected by SNP markers
10.1186/s12863-016-0409-y · 2016
Quantitative trait loci controlling agronomic traits in recombinant inbred lines from a cross of oriental- and occidental-type barley cultivars
10.1270/jsbbs.56.243 · 2006
Transgressive segregation for phenological traits in barley explained by two major QTL alleles with additivity
10.1111/j.1439-0523.2008.01520.x · 2008
FR-H3: a new QTL to assist in the development of fall-sown barley with superior low temperature tolerance
datacite
Confidence 0%
10.1007/s00122-012-1982-8 · 2013
Fine mapping of qGL5H, a major grain length locus in barley (Hordeum vulgare L.)
10.1007/s00122-018-3243-y · 2019
Meta-analysis of major QTL for abiotic stress tolerance in barley and implications for barley breeding
10.1007/s00425-016-2605-4 · 2017
Quantitative trait loci: a meta-analysis
10.1093/genetics/155.1.463 · 2000
BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms
10.1093/bioinformatics/bts313 · 2012
Genomic analysis of ionome-related QTLs in Arabidopsis thaliana
10.1038/s41598-021-98592-7 · 2021
Integrated meta-QTL and genome-wide association study analyses reveal candidate genes for maize yield
10.1007/s00344-019-09977-y · 2019
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
10.1186/s12870-022-03738-y · 2022
Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice
10.1186/s12864-020-6702-1 · 2020
Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification
10.1038/s41598-022-17402-w · 2022
Meta-analysis of QTLome for grain zinc and iron contents in wheat (Triticum aestivum L.)
10.1007/s10681-021-02818-8 · 2021
Comparative Genomic Analysis of Quantitative Trait Loci Associated With Micronutrient Contents, Grain Quality, and Agronomic Traits in Wheat (Triticum aestivum L.)
10.3389/fpls.2021.709817 · 2021
Genome-wide meta-analysis of QTL for morphological related traits of flag leaf in bread wheat
10.1371/journal.pone.0276602 · 2022
Meta-analysis of QTL associated with tolerance to abiotic stresses in barley
2012
Mega meta-QTLs: a strategy for the production of golden barley (Hordeum vulgare L.) tolerant to abiotic stresses
10.3390/genes13112087 · 2022
Genome-wide meta-analysis on yield and yield-related QTLs in barley (Hordeum vulgare L.)
10.1007/s11032-019-0962-y · 2019
Integrating coexpression networks with GWAS to prioritize causal genes in maize
10.1105/tpc.18.00299 · 2018
GWAS with principal component analysis identifies a gene comprehensively controlling rice architecture
10.1073/pnas.1904964116 · 2019
Multi-locus GWAS of quality traits in bread wheat: mining more candidate genes and possible regulatory network
10.3389/fpls.2020.01091 · 2020
Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus
10.1016/j.molp.2020.12.003 · 2021
Quantitative trait locus mapping of deep rooting by linkage and association analysis in rice
10.1093/jxb/erv246 · 2015
QTL mapping and candidate gene analysis of peduncle vascular bundle related traits in rice by genome-wide association study
10.1186/s12284-018-0204-7 · 2018
Genetic dissection of wheat panicle traits using linkage analysis and a genome-wide association study
10.1007/s00122-018-3059-9 · 2018
A novel QTL QTrl.saw-2D.2 associated with the total root length identified by linkage and association analyses in wheat (Triticum aestivum L.)
10.1007/s00425-019-03154-x · 2019
LPmerge: an R package for merging genetic maps by linear programming
10.1093/bioinformatics/btu091 · 2014
Revealing the genetic architecture of FHB resistance in hexaploid wheat (Triticum aestivum L.) by QTL meta-analysis
10.1007/s11032-008-9250-y · 2009
Meta-analysis of the QTLome of fusarium head blight resistance in bread wheat: Refining the current puzzle
10.3389/fpls.2019.00727 · 2019
Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population
10.1111/tpj.13174 · 2016
The coordinated KNR6–AGAP–ARF1 complex modulates vegetative and reproductive traits by participating in vesicle trafficking in maize
10.3390/cells10102601 · 2021
Identification through fine mapping and verification using CRISPR/Cas9-targeted mutagenesis for a minor QTL controlling grain weight in rice
10.1007/s00122-020-03699-6 · 2021
Tiller formation in rice is altered by overexpression of OsIAGLU gene encoding an IAA-conjugating enzyme or exogenous treatment of free IAA
10.1007/s12374-012-0238-0 · 2013
Over-expression of an S-domain receptor-like kinase extracellular domain improves panicle architecture and grain yield in rice
10.1093/jxb/erv417 · 2015
WheatOmics: A platform combining multiple omics data to accelerate functional genomics studies in wheat
10.1016/j.molp.2021.10.006 · doi-reference
BARLEYMAP: physical and genetic mapping of nucleotide sequences and annotation of surrounding loci in barley
10.1007/s11032-015-0253-1 · doi-reference
MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments
10.1186/1471-2105-8-49 · doi-reference
Development and evaluation of a barley 50k iselect SNP array
10.3389/fpls.2017.01792 · doi-reference
Development of genome-wide InDel markers and their integration with SSR, DArT and SNP markers in single barley map
10.1186/s12864-015-2027-x · doi-reference
Development and implementation of high-throughput SNP genotyping in barley
10.1186/1471-2164-10-582 · doi-reference
A high density barley microsatellite consensus map with 775 SSR loci
10.1007/s00122-007-0503-7 · doi-reference
A high-density consensus map of barley linking DArT markers to SSR, RFLP and STS loci and agricultural traits
10.1186/1471-2164-7-206 · doi-reference
QTLs associated with resistance to soybean cyst nematode in soybean: Meta-analysis of QTL locations
10.2135/cropsci2005.04-0036-2 · doi-reference
A simple method to calculate resolving power and confidence interval of QTL map location
10.1023/a:1025685324830 · doi-reference
ramosa2 encodes a LATERAL ORGAN BOUNDARY domain protein that determines the fate of stem cells in branch meristems of maize
10.1105/tpc.105.039032 · doi-reference
Comparative genomics of flowering time pathways using Brachypodium distachyon as a model for the temperate grasses
10.1371/journal.pone.0010065 · doi-reference
A pseudo-response regulator is misexpressed in the photoperiod insensitive Ppd-D1a mutant of wheat (Triticum aestivum L.)
10.1007/s00122-007-0603-4 · doi-reference
RING-Type E3 ubiqitin ligase barley Genes (HvYrg1-2) control characteristics of both vegetative organs and seeds as yield components
10.3390/plants9121693 · doi-reference
A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase
10.1038/ng2014 · doi-reference
Interaction between row-type genes in barley controls meristem determinacy and reveals novel routes to improved grain
10.1111/nph.15548 · doi-reference
Dissecting the genetic basis of grain size and weight in barley (Hordeum vulgare L.) by QTL and comparative genetic analyses
10.3389/fpls.2019.00469 · doi-reference
Photoperiod-H1 (Ppd-H1) Controls Leaf Size
10.1104/pp.16.00977 · doi-reference
Pleiotropic effects of the sdw1 locus in barley populations representing different rounds of recombination
10.1016/j.ejbt.2014.07.005 · doi-reference
Effects of the semi-dwarfing sdw1/denso gene in barley
10.1007/s13353-013-0165-x · doi-reference
VRS2 regulates hormone-mediated inflorescence patterning in barley
10.1038/ng.3717 · doi-reference
INTERMEDIUM-C, a modifier of lateral spikelet fertility in barley, is an ortholog of the maize domestication gene TEOSINTE BRANCHED 1
10.1038/ng.745 · doi-reference
Six-rowed spike4 (Vrs4) controls spikelet determinacy and row-type in barley
10.1073/pnas.1221950110 · doi-reference
Six-rowed barley originated from a mutation in a homeodomain-leucine zipper I-class homeobox gene
10.1073/pnas.0608580104 · doi-reference
The wheat and barley vernalization gene VRN3 is an orthologue of FT
10.1073/pnas.0607142103 · doi-reference
Direct links between the vernalization response and other key traits of cereal crops
10.1038/ncomms6882 · doi-reference
Phytochrome C is a key factor controlling long-day flowering in barley
10.1104/pp.113.222570 · doi-reference
A photoperiod-insensitive barley line contains a light-labile phytochrome B
10.1104/pp.119.3.1033 · doi-reference
HvLUX1 is a candidate gene underlying the early maturity 10 locus in barley: phylogeny, diversity, and interactions with the circadian clock and photoperiodic pathways
10.1111/nph.12346 · doi-reference
The pseudo-response regulator Ppd-H1 provides adaptation to photoperiod in barley
10.1126/science.1117619 · doi-reference
EARLY FLOWERING3 regulates flowering in spring barley by mediating gibberellin production and FLOWERING LOCUS T expression
10.1105/tpc.114.123794 · doi-reference
Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.)
10.1007/s00122-021-04018-3 · doi-reference
Mapping QTLs associated with agronomic and physiological traits under terminal drought and heat stress conditions in wheat (Triticum aestivum L.)
10.1139/gen-2016-0017 · doi-reference
Mapping QTL for grain yield, yield components, and spike features in a doubled haploid population of bread wheat
10.1139/g11-017 · doi-reference
Long-read sequence assembly: a technical evaluation in barley
10.1093/plcell/koab077 · doi-reference
A chromosome conformation capture ordered sequence of the barley genome
10.1038/nature22043 · doi-reference
Yield QTLome distribution correlates with gene density in maize
10.1016/j.plantsci.2015.09.022 · doi-reference
Accurate prediction of maize grain yield using its contributing genes for gene-based breeding
10.1016/j.ygeno.2019.02.001 · doi-reference
Genetic dissection of grain zinc concentration in spring wheat for mainstreaming biofortification in CIMMYT wheat breeding
10.1038/s41598-018-31951-z · doi-reference
Mapping of QTL controlling NIR predicted hot water extract and grain nitrogen content in a spring barley cross using marker-regression
10.1111/j.1439-0523.1997.tb02168.x · doi-reference