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Journal Abstract Search
449 related items for PubMed ID: 30111287
61. Identification of quantitative trait loci for kernel-related traits and the heterosis for these traits in maize (Zea mays L.). Liu Y, Yi Q, Hou X, Hu Y, Li Y, Yu G, Liu H, Zhang J, Huang Y. Mol Genet Genomics; 2020 Jan; 295(1):121-133. PubMed ID: 31511973 [Abstract] [Full Text] [Related]
62. Enhancing phosphorus uptake efficiency through QTL-based selection for root system architecture in maize. Gu R, Chen F, Long L, Cai H, Liu Z, Yang J, Wang L, Li H, Li J, Liu W, Mi G, Zhang F, Yuan L. J Genet Genomics; 2016 Nov 20; 43(11):663-672. PubMed ID: 27889500 [Abstract] [Full Text] [Related]
63. The genetic architecture of amino acids dissection by association and linkage analysis in maize. Deng M, Li D, Luo J, Xiao Y, Liu H, Pan Q, Zhang X, Jin M, Zhao M, Yan J. Plant Biotechnol J; 2017 Oct 20; 15(10):1250-1263. PubMed ID: 28218981 [Abstract] [Full Text] [Related]
64. Linkage mapping combined with association analysis reveals QTL and candidate genes for three husk traits in maize. Cui Z, Xia A, Zhang A, Luo J, Yang X, Zhang L, Ruan Y, He Y. Theor Appl Genet; 2018 Oct 20; 131(10):2131-2144. PubMed ID: 30043259 [Abstract] [Full Text] [Related]
65. The construction of a maize-teosinte introgression population and quantitative trait loci analysis of their 21 agronomic traits. Cui Y, Xiao X, Wang M, Zhu M, Yuyama N, Zheng J, Xiong C, Liu J, Wang S, Yang Y, Chen J, Cai H. Plant Sci; 2024 Nov 20; 348():112226. PubMed ID: 39153574 [Abstract] [Full Text] [Related]
66. Genome-Wide Association Analysis of Senescence-Related Traits in Maize. Yannam VRR, Caicedo M, Malvar RA, Ordás B. Int J Mol Sci; 2022 Dec 14; 23(24):. PubMed ID: 36555534 [Abstract] [Full Text] [Related]
68. A Systemic Investigation of Genetic Architecture and Gene Resources Controlling Kernel Size-Related Traits in Maize. Wang C, Li H, Long Y, Dong Z, Wang J, Liu C, Wei X, Wan X. Int J Mol Sci; 2023 Jan 05; 24(2):. PubMed ID: 36674545 [Abstract] [Full Text] [Related]
69. Identification of minor effect QTLs for plant architecture related traits using super high density genotyping and large recombinant inbred population in maize (Zea mays). Wang B, Liu H, Liu Z, Dong X, Guo J, Li W, Chen J, Gao C, Zhu Y, Zheng X, Chen Z, Chen J, Song W, Hauck A, Lai J. BMC Plant Biol; 2018 Jan 18; 18(1):17. PubMed ID: 29347909 [Abstract] [Full Text] [Related]
70. Dynamic QTL analysis of seed reserve utilization in sh2 sweet corn germination stages. Cheng XX, He S, Geng GH. Genet Mol Res; 2016 Aug 26; 15(3):. PubMed ID: 27706613 [Abstract] [Full Text] [Related]
71. Genetic analysis of roots and shoots in rice seedling by association mapping. Zhao Y, Jiang CH, Rehman RMA, Zhang HL, Li J, Li ZC. Genes Genomics; 2019 Jan 26; 41(1):95-105. PubMed ID: 30242741 [Abstract] [Full Text] [Related]
72. Integration of high-throughput phenotyping, GWAS, and predictive models reveals the genetic architecture of plant height in maize. Wang W, Guo W, Le L, Yu J, Wu Y, Li D, Wang Y, Wang H, Lu X, Qiao H, Gu X, Tian J, Zhang C, Pu L. Mol Plant; 2023 Feb 06; 16(2):354-373. PubMed ID: 36447436 [Abstract] [Full Text] [Related]
73. Genetic properties of the MAGIC maize population: a new platform for high definition QTL mapping in Zea mays. Dell'Acqua M, Gatti DM, Pea G, Cattonaro F, Coppens F, Magris G, Hlaing AL, Aung HH, Nelissen H, Baute J, Frascaroli E, Churchill GA, Inzé D, Morgante M, Pè ME. Genome Biol; 2015 Sep 11; 16(1):167. PubMed ID: 26357913 [Abstract] [Full Text] [Related]
74. Genetic Architecture of Ear Fasciation in Maize (Zea mays) under QTL Scrutiny. Mendes-Moreira P, Alves ML, Satovic Z, Dos Santos JP, Santos JN, Souza JC, Pêgo SE, Hallauer AR, Vaz Patto MC. PLoS One; 2015 Sep 11; 10(4):e0124543. PubMed ID: 25923975 [Abstract] [Full Text] [Related]
75. Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations. Zhang H, Cui F, Wang L, Li J, Ding A, Zhao C, Bao Y, Yang Q, Wang H. J Genet; 2013 Sep 11; 92(2):213-31. PubMed ID: 23970077 [Abstract] [Full Text] [Related]
76. Genome-wide association analysis of grain yield and Striga hermonthica and S. asiatica resistance in tropical and sub-tropical maize populations. Dossa EN, Shimelis H, Shayanowako AIT. BMC Plant Biol; 2024 Sep 19; 24(1):871. PubMed ID: 39294608 [Abstract] [Full Text] [Related]
77. QTL mapping and phenotypic variation for root architectural traits in maize (Zea mays L.). Burton AL, Johnson JM, Foerster JM, Hirsch CN, Buell CR, Hanlon MT, Kaeppler SM, Brown KM, Lynch JP. Theor Appl Genet; 2014 Nov 19; 127(11):2293-311. PubMed ID: 25230896 [Abstract] [Full Text] [Related]
78. Genetic Dissection of Grain Yield and Agronomic Traits in Maize under Optimum and Low-Nitrogen Stressed Environments. Tadesse Ertiro B, Olsen M, Das B, Gowda M, Labuschagne M. Int J Mol Sci; 2020 Jan 15; 21(2):. PubMed ID: 31952130 [Abstract] [Full Text] [Related]
79. Genetic dissection of the maize kernel development process via conditional QTL mapping for three developing kernel-related traits in an immortalized F2 population. Zhang Z, Wu X, Shi C, Wang R, Li S, Wang Z, Liu Z, Xue Y, Tang G, Tang J. Mol Genet Genomics; 2016 Feb 15; 291(1):437-54. PubMed ID: 26420507 [Abstract] [Full Text] [Related]