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Journal Abstract Search

449 related items for PubMed ID: 30111287

  • 41. Hotspot Regions of Quantitative Trait Loci and Candidate Genes for Ear-Related Traits in Maize: A Literature Review.
    Zhang X, Sun J, Zhang Y, Li J, Liu M, Li L, Li S, Wang T, Shaw RK, Jiang F, Fan X.
    Genes (Basel); 2023 Dec 21; 15(1):. PubMed ID: 38275597
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  • 42. Analysis of the genetic architecture of maize ear and grain morphological traits by combined linkage and association mapping.
    Zhang C, Zhou Z, Yong H, Zhang X, Hao Z, Zhang F, Li M, Zhang D, Li X, Wang Z, Weng J.
    Theor Appl Genet; 2017 May 21; 130(5):1011-1029. PubMed ID: 28215025
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  • 43. Construction of genetic linkage map and identification of QTLs related to agronomic traits in DH population of maize (Zea mays L.) using SSR markers.
    Choi JK, Sa KJ, Park DH, Lim SE, Ryu SH, Park JY, Park KJ, Rhee HI, Lee M, Lee JK.
    Genes Genomics; 2019 Jun 21; 41(6):667-678. PubMed ID: 30953340
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  • 44. Linkage mapping combined with GWAS revealed the genetic structural relationship and candidate genes of maize flowering time-related traits.
    Shi J, Wang Y, Wang C, Wang L, Zeng W, Han G, Qiu C, Wang T, Tao Z, Wang K, Huang S, Yu S, Wang W, Chen H, Chen C, He C, Wang H, Zhu P, Hu Y, Zhang X, Xie C, Lu X, Li P.
    BMC Plant Biol; 2022 Jul 08; 22(1):328. PubMed ID: 35799118
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  • 45. Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice (Oryza Sativa L.) Using SNPs Markers.
    Ashfaq M, Rasheed A, Zhu R, Ali M, Javed MA, Anwar A, Tabassum J, Shaheen S, Wu X.
    Genes (Basel); 2023 May 15; 14(5):. PubMed ID: 37239449
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  • 46. 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 May 15; 8(1):e53770. PubMed ID: 23320103
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  • 47. Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines.
    Zhou Z, Zhang C, Zhou Y, Hao Z, Wang Z, Zeng X, Di H, Li M, Zhang D, Yong H, Zhang S, Weng J, Li X.
    BMC Genomics; 2016 Mar 03; 17():178. PubMed ID: 26940065
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  • 48. Detection of quantitative trait loci for ear row number in F2 populations of maize.
    Yang C, Liu J, Rong TZ.
    Genet Mol Res; 2015 Nov 13; 14(4):14229-38. PubMed ID: 26600480
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  • 49. Mapping quantitative trait loci for yield-related traits and predicting candidate genes for grain weight in maize.
    Zhao Y, Su C.
    Sci Rep; 2019 Nov 06; 9(1):16112. PubMed ID: 31695075
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  • 50. Flooding tolerance in interspecific introgression lines containing chromosome segments from teosinte (Zea nicaraguensis) in maize (Zea mays subsp. mays).
    Mano Y, Omori F.
    Ann Bot; 2013 Oct 06; 112(6):1125-39. PubMed ID: 23877074
    [Abstract] [Full Text] [Related]

  • 51. Genome-wide association mapping in a diverse spring barley collection reveals the presence of QTL hotspots and candidate genes for root and shoot architecture traits at seedling stage.
    Abdel-Ghani AH, Sharma R, Wabila C, Dhanagond S, Owais SJ, Duwayri MA, Al-Dalain SA, Klukas C, Chen D, Lübberstedt T, von Wirén N, Graner A, Kilian B, Neumann K.
    BMC Plant Biol; 2019 May 23; 19(1):216. PubMed ID: 31122195
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  • 52. Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population.
    Fang H, Fu X, Ge H, Zhang A, Shan T, Wang Y, Li P, Wang B.
    BMC Plant Biol; 2021 Jul 21; 21(1):344. PubMed ID: 34289812
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  • 53. QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.).
    Marathi B, Guleria S, Mohapatra T, Parsad R, Mariappan N, Kurungara VK, Atwal SS, Prabhu KV, Singh NK, Singh AK.
    BMC Plant Biol; 2012 Aug 09; 12():137. PubMed ID: 22876968
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  • 54. Genetic Architecture of Grain Yield-Related Traits in Sorghum and Maize.
    Baye W, Xie Q, Xie P.
    Int J Mol Sci; 2022 Feb 22; 23(5):. PubMed ID: 35269548
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  • 55. Genetic mapping with testcrossing associations and F2:3 populations reveals the importance of heterosis in chilling tolerance at maize seedling stage.
    Yan J, Wu Y, Li W, Qin X, Wang Y, Yue B.
    Sci Rep; 2017 Jun 12; 7(1):3232. PubMed ID: 28607429
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  • 56. QTL mapping analysis of maize plant type based on SNP molecular marker.
    Zhu W, Zhao Y, Liu J, Huang L, Lu X, Kang D.
    Cell Mol Biol (Noisy-le-grand); 2019 Feb 28; 65(2):18-27. PubMed ID: 30860467
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  • 57. Genome wide association study for drought, aflatoxin resistance, and important agronomic traits of maize hybrids in the sub-tropics.
    Farfan ID, De La Fuente GN, Murray SC, Isakeit T, Huang PC, Warburton M, Williams P, Windham GL, Kolomiets M.
    PLoS One; 2015 Feb 28; 10(2):e0117737. PubMed ID: 25714370
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  • 58. Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice.
    Khahani B, Tavakol E, Shariati V, Fornara F.
    BMC Genomics; 2020 Apr 10; 21(1):294. PubMed ID: 32272882
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  • 59. Characterization of root-yield-1.06, a major constitutive QTL for root and agronomic traits in maize across water regimes.
    Landi P, Giuliani S, Salvi S, Ferri M, Tuberosa R, Sanguineti MC.
    J Exp Bot; 2010 Aug 10; 61(13):3553-62. PubMed ID: 20627896
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  • 60. QTL mapping and phenotypic variation of root anatomical traits in maize (Zea mays L.).
    Burton AL, Johnson J, Foerster J, Hanlon MT, Kaeppler SM, Lynch JP, Brown KM.
    Theor Appl Genet; 2015 Jan 10; 128(1):93-106. PubMed ID: 25326723
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