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Natural variation of TaGASR7-A1 affects grain length in common wheat under multiple cultivation conditions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Identification and development of a functional marker of TaGW2 associated with grain weight in bread wheat (Triticum aestivum L.)
inferredcites →https://doi.org/10.1007/s00122-012-1895-6openalex-snapshot
SNP identification and allelic-specific PCR markers development for TaGW2, a gene linked to wheat kernel weight
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Molecular characterization of a set of wheat deletion stocks for use in chromosome bin mapping of ESTs
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QTL analysis of kernel shape and weight using recombinant inbred lines in wheat
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Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL level?
inferredcites →https://doi.org/10.1016/j.jcs.2010.06.019openalex-snapshot
Molecular analysis of lipoxygenase (LOX) genes in common wheat and phylogenetic investigation of LOX proteins from model and crop plants
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Theoretical structural insights into the snakin/GASA family
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Genetic bases of rice grain shape: so many genes, so little known
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Genome sequencing and analysis of the model grass Brachypodium distachyon
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Draft genome of the wheat A-genome progenitor Triticum urartu
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Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm
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Molecular marker analysis of kernel size and shape in bread wheat
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inferredcites →https://doi.org/10.1094/mpmi.1999.12.1.16openalex-snapshot
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Snakin-2, an Antimicrobial Peptide from Potato Whose Gene Is Locally Induced by Wounding and Responds to Pathogen Infection
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Yield‐related QTLs and Their Applications in Rice Genetic ImprovementF
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Genetic and Molecular Bases of Rice Yield
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New Insights into the Organization, Recombination, Expression and Functional Mechanism of Low Molecular Weight Glutenin Subunit Genes in Bread Wheat
inferredcites →https://doi.org/10.1371/journal.pone.0031249openalex-snapshot
Genetic Insight into Yield-Associated Traits of Wheat Grown in Multiple Rain-Fed Environments
inferredcites →https://doi.org/10.1371/journal.pone.0057853openalex-snapshot
Association Analysis of Genomic Loci Important for Grain Weight Control in Elite Common Wheat Varieties Cultivated with Variable Water and Fertiliser Supply
inferredcites →https://doi.org/10.1534/genetics.105.044586openalex-snapshot
Association Mapping of Kernel Size and Milling Quality in Wheat (Triticum aestivum L.) Cultivars
inferredcites →https://doi.org/10.1534/genetics.109.103002openalex-snapshot
Evolutionary History of GS3 , a Gene Conferring Grain Length in Rice
inferredcites →https://doi.org/10.2135/cropsci1999.0011183x003900040039xopenalex-snapshot
Quantitative Trait Loci Associated with Kernel Traits in a Soft × Hard Wheat Cross
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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The decreased expression of GW2 homologous genes contributed to the increased grain width and thousand‑grain weight in wheat-Dasypyrum villosum 6VS·6DL translocation lines
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A superior allele of the wheat gene TaGL3.3-5B, selected in the breeding process, contributes to seed size and weight
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Fine mapping and characterization of a major QTL for grain weight on wheat chromosome arm 5DL
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TaTGW6-A1, an ortholog of rice TGW6, is associated with grain weight and yield in bread wheat
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Single nucleotide polymorphism tightly linked to a major QTL on chromosome 7A for both kernel length and kernel weight in wheat
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inferred← citeshttps://doi.org/10.1016/j.cj.2014.08.005openalex-snapshot
Divergence in homoeolog expression of the grain length-associated gene GASR7 during wheat allohexaploidization
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Natural variation in OsGASR7 regulates grain length in rice
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TaWUS‐like‐5D affects grain weight and filling by inhibiting the expression of sucrose and trehalose metabolism‐related genes in wheat grain endosperm
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Gene editing of the wheat homologs of TONNEAU 1‐recruiting motif encoding gene affects grain shape and weight in wheat
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TaFlo2-A1, an ortholog of rice Flo2, is associated with thousand grain weight in bread wheat (Triticum aestivum L.)
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ФЕНОТИПИЧЕСКАЯ И ГЕНОТИПИЧЕСКАЯ ОЦЕНКА ЛИ-НИЙ ГЕКСАПЛОИДНОЙ СИНТЕТИЧЕСКОЙ ПШЕНИЦЫ (AABBDD) ПО ПАРАМЕТРАМ ЗЕРНОВКИ В УСЛОВИЯХ ЗАПАДНОЙ СИБИРИ
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TaBG1 Increases Seed Size and Alters Nutritional Characteristics of the Grain in Wheat But Does Lead to Increased Yields.
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KASP genotyping of loci associated with the “1000-grain weight” trait in common wheat (Tríticum aestívum L.)
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Wheat genomics and breeding: bridging the gap.
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Dryness–Wetness Encounter Probabilities’ Analysis for Lake Ecological Water Replenishment Considering Non-Stationarity Effects
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Identification and Analysis of the GASR Gene Family in Common Wheat (Triticum aestivum L.) and Characterization of TaGASR34, a Gene Associated With Seed Dormancy and Germination
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Identification and Validation of New Stable QTLs for Grain Weight and Size by Multiple Mapping Models in Common Wheat
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QTL mapping for kernel-related traits in a durum wheat x T. dicoccum segregating population
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Meta-QTL mapping for wheat thousand kernel weight
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Traditional and Conditional QTL Analysis of Kernel Size- and Shape-Related Traits in Wheat (Triticum aestivum L.)
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Effects of Salt and Nitrogen Treatments on End Use Quality in Different End Use Types of Wheat
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Breaking Yield Ceiling in Wheat: Progress and Future Prospects
inferred← citeshttps://doi.org/10.6084/m9.figshare.13151775openalex-snapshot
Additional file 10 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 1 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 2 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 3 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 4 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 5 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 6 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 7 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 8 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 9 of Ecological genomics of Chinese wheat improvement: implications in breeding for adaptation
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Additional file 10 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 11 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 12 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 13 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 14 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 15 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 1 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 2 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 3 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 4 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 5 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 6 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 7 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 8 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 9 of Functional gene assessment of bread wheat: breeding implications in Ningxia Province
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Additional file 1 of Characterization of TaSPP-5A gene associated with sucrose content in wheat (Triticum aestivum L.)
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Additional file 1 of High-resolution detection of quantitative trait loci for seven important yield-related traits in wheat (Triticum aestivum L.) using a high-density SLAF-seq genetic map
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Additional file 2 of High-resolution detection of quantitative trait loci for seven important yield-related traits in wheat (Triticum aestivum L.) using a high-density SLAF-seq genetic map
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Additional file 10 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 11 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 12 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 13 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 1 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 2 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 3 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 4 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 5 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 6 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 7 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 8 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 9 of Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers
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Additional file 1 of Genome-wide identification and expression analysis of the GASA gene family in Chinese cabbage (Brassica rapa L. ssp. pekinensis)
inferred← citeshttps://doi.org/10.9787/kjbs.2020.52.4.362openalex-snapshot
Allelic Variation at Loci Associated with Grain Properties in Korean Wheat Cultivars
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