These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 30887095)

  • 1. QTL mapping for maize starch content and candidate gene prediction combined with co-expression network analysis.
    Lin F; Zhou L; He B; Zhang X; Dai H; Qian Y; Ruan L; Zhao H
    Theor Appl Genet; 2019 Jul; 132(7):1931-1941. PubMed ID: 30887095
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genetic basis of maize kernel starch content revealed by high-density single nucleotide polymorphism markers in a recombinant inbred line population.
    Wang T; Wang M; Hu S; Xiao Y; Tong H; Pan Q; Xue J; Yan J; Li J; Yang X
    BMC Plant Biol; 2015 Dec; 15():288. PubMed ID: 26654531
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combined GWAS and QTL analysis for dissecting the genetic architecture of kernel test weight in maize.
    Zhang X; Guan Z; Wang L; Fu J; Zhang Y; Li Z; Ma L; Liu P; Zhang Y; Liu M; Li P; Zou C; He Y; Lin H; Yuan G; Gao S; Pan G; Shen Y
    Mol Genet Genomics; 2020 Mar; 295(2):409-420. PubMed ID: 31807910
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A combination of linkage mapping and GWAS brings new elements on the genetic basis of yield-related traits in maize across multiple environments.
    Zhang X; Guan Z; Li Z; Liu P; Ma L; Zhang Y; Pan L; He S; Zhang Y; Li P; Ge F; Zou C; He Y; Gao S; Pan G; Shen Y
    Theor Appl Genet; 2020 Oct; 133(10):2881-2895. PubMed ID: 32594266
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combining genome-wide association study and linkage mapping in the genetic dissection of amylose content in maize (Zea mays L.).
    Dai W; Li Q; Liu T; Long P; He Y; Sang M; Zou C; Chen Z; Yuan G; Ma L; Pan G; Shen Y
    Theor Appl Genet; 2024 Jun; 137(7):159. PubMed ID: 38872054
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Verification of QTL for grain starch content and its genetic correlation with oil content using two connected RIL populations in high-oil maize.
    Yang G; Dong Y; Li Y; Wang Q; Shi Q; Zhou Q
    PLoS One; 2013; 8(1):e53770. PubMed ID: 23320103
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Analysis of the genetic architecture of maize kernel size traits by combined linkage and association mapping.
    Liu M; Tan X; Yang Y; Liu P; Zhang X; Zhang Y; Wang L; Hu Y; Ma L; Li Z; Zhang Y; Zou C; Lin H; Gao S; Lee M; Lübberstedt T; Pan G; Shen Y
    Plant Biotechnol J; 2020 Jan; 18(1):207-221. PubMed ID: 31199064
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mapping of QTL for agronomic traits using high-density SNPs with an RIL population in maize.
    Sa KJ; Choi IY; Park JY; Choi JK; Ryu SH; Lee JK
    Genes Genomics; 2021 Dec; 43(12):1403-1411. PubMed ID: 34591233
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.).
    Foerster JM; Beissinger T; de Leon N; Kaeppler S
    Theor Appl Genet; 2015 Mar; 128(3):529-38. PubMed ID: 25575839
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fine-mapping of qGW4.05, a major QTL for kernel weight and size in maize.
    Chen L; Li YX; Li C; Wu X; Qin W; Li X; Jiao F; Zhang X; Zhang D; Shi Y; Song Y; Li Y; Wang T
    BMC Plant Biol; 2016 Apr; 16():81. PubMed ID: 27068015
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genetic basis of kernel starch content decoded in a maize multi-parent population.
    Hu S; Wang M; Zhang X; Chen W; Song X; Fu X; Fang H; Xu J; Xiao Y; Li Y; Bai G; Li J; Yang X
    Plant Biotechnol J; 2021 Nov; 19(11):2192-2205. PubMed ID: 34077617
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Quantitative Trait Loci and Candidate Genes for Maize Starch Granule Size through Association Mapping.
    Liu N; Zhang Z; Xue Y; Meng S; Huang Y; Li W; Huang J; Tang J
    Sci Rep; 2018 Sep; 8(1):14236. PubMed ID: 30250035
    [TBL] [Abstract][Full Text] [Related]  

  • 13. QTLs and candidate genes for desiccation and abscisic acid content in maize kernels.
    Capelle V; Remoué C; Moreau L; Reyss A; Mahé A; Massonneau A; Falque M; Charcosset A; Thévenot C; Rogowsky P; Coursol S; Prioul JL
    BMC Plant Biol; 2010 Jan; 10():2. PubMed ID: 20047666
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification and validation of genomic regions influencing kernel zinc and iron in maize.
    Hindu V; Palacios-Rojas N; Babu R; Suwarno WB; Rashid Z; Usha R; Saykhedkar GR; Nair SK
    Theor Appl Genet; 2018 Jul; 131(7):1443-1457. PubMed ID: 29574570
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Genome-wide association studies and QTL mapping uncover the genetic architecture of ear tip-barrenness in maize.
    Li Z; Liu P; Zhang X; Zhang Y; Ma L; Liu M; Guan Z; Zhang Y; Li P; Zou C; He Y; Gao S; Pan G; Shen Y
    Physiol Plant; 2020 Sep; 170(1):27-39. PubMed ID: 32175598
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fine mapping of qKRN8, a QTL for maize kernel row number, and prediction of the candidate gene.
    Han X; Qin Y; Sandrine AMN; Qiu F
    Theor Appl Genet; 2020 Nov; 133(11):3139-3150. PubMed ID: 32857170
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fine mapping and candidate gene analysis of qhkw5-3, a major QTL for kernel weight in maize.
    Li W; Bai Q; Zhan W; Ma C; Wang S; Feng Y; Zhang M; Zhu Y; Cheng M; Xi Z
    Theor Appl Genet; 2019 Sep; 132(9):2579-2589. PubMed ID: 31187154
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-environment QTL analysis of grain morphology traits and fine mapping of a kernel-width QTL in Zheng58 × SK maize population.
    Raihan MS; Liu J; Huang J; Guo H; Pan Q; Yan J
    Theor Appl Genet; 2016 Aug; 129(8):1465-77. PubMed ID: 27154588
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Genome-wide association analysis and QTL mapping reveal the genetic control of cadmium accumulation in maize leaf.
    Zhao X; Luo L; Cao Y; Liu Y; Li Y; Wu W; Lan Y; Jiang Y; Gao S; Zhang Z; Shen Y; Pan G; Lin H
    BMC Genomics; 2018 Jan; 19(1):91. PubMed ID: 29370753
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Combined linkage mapping and association analysis reveals genetic control of maize kernel moisture content.
    Zhang Y; Hu Y; Guan Z; Liu P; He Y; Zou C; Li P; Gao S; Peng H; Yang C; Pan G; Shen Y; Ma L
    Physiol Plant; 2020 Dec; 170(4):508-518. PubMed ID: 32754968
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.