BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

226 related articles for article (PubMed ID: 36420042)

  • 1. Genome-wide association studies of five free amino acid levels in rice.
    He L; Wang H; Sui Y; Miao Y; Jin C; Luo J
    Front Plant Sci; 2022; 13():1048860. PubMed ID: 36420042
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genome-wide association study of cooking-caused grain expansion in rice (
    Zheng Y; Thi KM; Lin L; Xie X; Khine EE; Nyein EE; Lin MHW; New WW; Aye SS; Wu W
    Front Plant Sci; 2023; 14():1250854. PubMed ID: 37711286
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Genome-Wide Association Studies Using 3VmrMLM Model Provide New Insights into Branched-Chain Amino Acid Contents in Rice Grains.
    Sui Y; Che Y; Zhong Y; He L
    Plants (Basel); 2023 Aug; 12(16):. PubMed ID: 37631180
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Application of Multi-Locus GWAS for the Detection of Salt-Tolerance Loci in Rice.
    Cui Y; Zhang F; Zhou Y
    Front Plant Sci; 2018; 9():1464. PubMed ID: 30337936
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of QTNs, QTN-by-environment interactions and genes for yield-related traits in rice using 3VmrMLM.
    Zhang J; Wang S; Wu X; Han L; Wang Y; Wen Y
    Front Plant Sci; 2022; 13():995609. PubMed ID: 36325550
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genome-Wide Association Studies of Free Amino Acid Levels by Six Multi-Locus Models in Bread Wheat.
    Peng Y; Liu H; Chen J; Shi T; Zhang C; Sun D; He Z; Hao Y; Chen W
    Front Plant Sci; 2018; 9():1196. PubMed ID: 30154817
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Genome-Wide Association Study of QTLs Conferring Resistance to Bacterial Leaf Streak in Rice.
    Xie X; Zheng Y; Lu L; Yuan J; Hu J; Bu S; Lin Y; Liu Y; Guan H; Wu W
    Plants (Basel); 2021 Sep; 10(10):. PubMed ID: 34685848
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Genome-wide association studies reveal novel QTLs, QTL-by-environment interactions and their candidate genes for tocopherol content in soybean seed.
    Yu K; Miao H; Liu H; Zhou J; Sui M; Zhan Y; Xia N; Zhao X; Han Y
    Front Plant Sci; 2022; 13():1026581. PubMed ID: 36388509
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-locus genome-wide association studies for five yield-related traits in rice.
    Zhong H; Liu S; Sun T; Kong W; Deng X; Peng Z; Li Y
    BMC Plant Biol; 2021 Aug; 21(1):364. PubMed ID: 34376143
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of QTNs, QTN-by-environment interactions, and their candidate genes for grain size traits in main crop and ratoon rice.
    Zhao Q; Shi XS; Wang T; Chen Y; Yang R; Mi J; Zhang YW; Zhang YM
    Front Plant Sci; 2023; 14():1119218. PubMed ID: 36818826
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-Locus Genome-Wide Association Study and Genomic Selection of Kernel Moisture Content at the Harvest Stage in Maize.
    Zhou G; Zhu Q; Mao Y; Chen G; Xue L; Lu H; Shi M; Zhang Z; Song X; Zhang H; Hao D
    Front Plant Sci; 2021; 12():697688. PubMed ID: 34305987
    [TBL] [Abstract][Full Text] [Related]  

  • 12. New Insights into the Genetic Basis of Lysine Accumulation in Rice Revealed by Multi-Model GWAS.
    He L; Sui Y; Che Y; Liu L; Liu S; Wang X; Cao G
    Int J Mol Sci; 2024 Apr; 25(9):. PubMed ID: 38731885
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combination of multi-locus genome-wide association study and QTL mapping reveals genetic basis of tassel architecture in maize.
    Wang Y; Chen J; Guan Z; Zhang X; Zhang Y; Ma L; Yao Y; Peng H; Zhang Q; Zhang B; Liu P; Zou C; Shen Y; Ge F; Pan G
    Mol Genet Genomics; 2019 Dec; 294(6):1421-1440. PubMed ID: 31289944
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Genome-wide association studies using multi-models and multi-SNP datasets provide new insights into pasmo resistance in flax.
    He L; Sui Y; Che Y; Wang H; Rashid KY; Cloutier S; You FM
    Front Plant Sci; 2023; 14():1229457. PubMed ID: 37954993
    [TBL] [Abstract][Full Text] [Related]  

  • 15. New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study.
    Sachdeva S; Singh R; Maurya A; Singh VK; Singh UM; Kumar A; Singh GP
    BMC Plant Biol; 2024 Feb; 24(1):124. PubMed ID: 38373874
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-omics analysis reveals novel loci and a candidate regulatory gene of unsaturated fatty acids in soybean (Glycine max (L.) Merr).
    Zhao X; Zhan Y; Li K; Zhang Y; Zhou C; Yuan M; Liu M; Li Y; Zuo P; Han Y; Zhao X
    Biotechnol Biofuels Bioprod; 2024 Mar; 17(1):43. PubMed ID: 38493136
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-model genome-wide association studies for appearance quality in rice.
    Sachdeva S; Singh R; Maurya A; Singh VK; Singh UM; Kumar A; Singh GP
    Front Plant Sci; 2023; 14():1304388. PubMed ID: 38273959
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-locus genome-wide association study and genomic prediction for flowering time in chrysanthemum.
    Su J; Lu Z; Zeng J; Zhang X; Yang X; Wang S; Zhang F; Jiang J; Chen F
    Planta; 2023 Dec; 259(1):13. PubMed ID: 38063918
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of QTNs Associated With Flowering Time, Maturity, and Plant Height Traits in
    Saroha A; Pal D; Gomashe SS; Akash ; Kaur V; Ujjainwal S; Rajkumar S; Aravind J; Radhamani J; Kumar R; Chand D; Sengupta A; Wankhede DP
    Front Genet; 2022; 13():811924. PubMed ID: 35774513
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of QTNs, QTN-by-environment interactions, and their candidate genes for salt tolerance related traits in soybean.
    Chen Y; Yue XL; Feng JY; Gong X; Zhang WJ; Zuo JF; Zhang YM
    BMC Plant Biol; 2024 Apr; 24(1):316. PubMed ID: 38654195
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.