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185 related items for PubMed ID: 30826444

  • 1. Accurate prediction of maize grain yield using its contributing genes for gene-based breeding.
    Zhang M, Cui Y, Liu YH, Xu W, Sze SH, Murray SC, Xu S, Zhang HB.
    Genomics; 2020 Jan; 112(1):225-236. PubMed ID: 30826444
    [Abstract] [Full Text] [Related]

  • 2. Genome-wide identification of genes enabling accurate prediction of hybrid performance from parents across environments and populations for gene-based breeding in maize.
    Zhang M, Liu YH, Wang Y, Sze SH, Scheuring CF, Qi X, Ekinci O, Pekar J, Murray SC, Zhang HB.
    Plant Sci; 2022 Nov; 324():111424. PubMed ID: 35995113
    [Abstract] [Full Text] [Related]

  • 3. Accurate prediction of complex traits for individuals and offspring from parents using a simple, rapid, and efficient method for gene-based breeding in cotton and maize.
    Liu YH, Zhang M, Scheuring CF, Cilkiz M, Sze SH, Smith CW, Murray SC, Xu W, Zhang HB.
    Plant Sci; 2022 Mar; 316():111153. PubMed ID: 35151437
    [Abstract] [Full Text] [Related]

  • 4. Estimation of physiological genomic estimated breeding values (PGEBV) combining full hyperspectral and marker data across environments for grain yield under combined heat and drought stress in tropical maize (Zea mays L.).
    Trachsel S, Dhliwayo T, Gonzalez Perez L, Mendoza Lugo JA, Trachsel M.
    PLoS One; 2019 Mar; 14(3):e0212200. PubMed ID: 30893307
    [Abstract] [Full Text] [Related]

  • 5. Optimum breeding strategies using genomic selection for hybrid breeding in wheat, maize, rye, barley, rice and triticale.
    Marulanda JJ, Mi X, Melchinger AE, Xu JL, Würschum T, Longin CF.
    Theor Appl Genet; 2016 Oct; 129(10):1901-13. PubMed ID: 27389871
    [Abstract] [Full Text] [Related]

  • 6. Development of sub-tropically adapted diverse provitamin-A rich maize inbreds through marker-assisted pedigree selection, their characterization and utilization in hybrid breeding.
    Duo H, Hossain F, Muthusamy V, Zunjare RU, Goswami R, Chand G, Mishra SJ, Chhabra R, Gowda MM, Pal S, Baveja A, Bhat JS, Kamboj MC, Kumar B, Amalraj JJ, Khulbe R, Prakash B, Neeraja CN, Rakshit S, Yadav OP.
    PLoS One; 2021 Oct; 16(2):e0245497. PubMed ID: 33539427
    [Abstract] [Full Text] [Related]

  • 7. Genome-wide association studies of grain yield and quality traits under optimum and low-nitrogen stress in tropical maize (Zea mays L.).
    Ndlovu N, Spillane C, McKeown PC, Cairns JE, Das B, Gowda M.
    Theor Appl Genet; 2022 Dec; 135(12):4351-4370. PubMed ID: 36131140
    [Abstract] [Full Text] [Related]

  • 8. Teosinte confers specific alleles and yield potential to maize improvement.
    Wang Q, Liao Z, Zhu C, Gou X, Liu Y, Xie W, Wu F, Feng X, Xu J, Li J, Lu Y.
    Theor Appl Genet; 2022 Oct; 135(10):3545-3562. PubMed ID: 36121453
    [Abstract] [Full Text] [Related]

  • 9. Selection of Drought Tolerant Maize Hybrids Using Path Coefficient Analysis and Selection Index.
    Dao A, Sanou J, V S Traore E, Gracen V, Danquah EY.
    Pak J Biol Sci; 2017 Oct; 20(3):132-139. PubMed ID: 29023004
    [Abstract] [Full Text] [Related]

  • 10. REML/BLUP and sequential path analysis in estimating genotypic values and interrelationships among simple maize grain yield-related traits.
    Olivoto T, Nardino M, Carvalho IR, Follmann DN, Ferrari M, Szareski VJ, de Pelegrin AJ, de Souza VQ.
    Genet Mol Res; 2017 Mar 22; 16(1):. PubMed ID: 28340272
    [Abstract] [Full Text] [Related]

  • 11. A serine/threonine protein kinase encoding gene KERNEL NUMBER PER ROW6 regulates maize grain yield.
    Jia H, Li M, Li W, Liu L, Jian Y, Yang Z, Shen X, Ning Q, Du Y, Zhao R, Jackson D, Yang X, Zhang Z.
    Nat Commun; 2020 Feb 20; 11(1):988. PubMed ID: 32080171
    [Abstract] [Full Text] [Related]

  • 12. Dominance Effects and Functional Enrichments Improve Prediction of Agronomic Traits in Hybrid Maize.
    Ramstein GP, Larsson SJ, Cook JP, Edwards JW, Ersoz ES, Flint-Garcia S, Gardner CA, Holland JB, Lorenz AJ, McMullen MD, Millard MJ, Rocheford TR, Tuinstra MR, Bradbury PJ, Buckler ES, Romay MC.
    Genetics; 2020 May 20; 215(1):215-230. PubMed ID: 32152047
    [Abstract] [Full Text] [Related]

  • 13. Genome optimization via virtual simulation to accelerate maize hybrid breeding.
    Cheng Q, Jiang S, Xu F, Wang Q, Xiao Y, Zhang R, Zhao J, Yan J, Ma C, Wang X.
    Brief Bioinform; 2022 Jan 17; 23(1):. PubMed ID: 34676389
    [Abstract] [Full Text] [Related]

  • 14. Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize.
    Adak A, DeSalvio AJ, Arik MA, Murray SC.
    G3 (Bethesda); 2024 Jul 08; 14(7):. PubMed ID: 38776257
    [Abstract] [Full Text] [Related]

  • 15. Selection index based on the relative importance of traits and possibilities in breeding popcorn.
    Vieira RA, Rocha R, Scapim CA, Amaral Júnior AT, Vivas M.
    Genet Mol Res; 2016 Apr 26; 15(2):. PubMed ID: 27173260
    [Abstract] [Full Text] [Related]

  • 16. Identification of QTL for maize grain yield and kernel-related traits.
    Yang C, Zhang L, Jia A, Rong T.
    J Genet; 2016 Jun 26; 95(2):239-47. PubMed ID: 27350665
    [Abstract] [Full Text] [Related]

  • 17. Genome wide association mapping for grain shape traits in indica rice.
    Feng Y, Lu Q, Zhai R, Zhang M, Xu Q, Yang Y, Wang S, Yuan X, Yu H, Wang Y, Wei X.
    Planta; 2016 Oct 26; 244(4):819-30. PubMed ID: 27198135
    [Abstract] [Full Text] [Related]

  • 18. Comprehensive phenotypic analysis and quantitative trait locus identification for grain mineral concentration, content, and yield in maize (Zea mays L.).
    Gu R, Chen F, Liu B, Wang X, Liu J, Li P, Pan Q, Pace J, Soomro AA, Lübberstedt T, Mi G, Yuan L.
    Theor Appl Genet; 2015 Sep 26; 128(9):1777-89. PubMed ID: 26058362
    [Abstract] [Full Text] [Related]

  • 19. Testcross performance and combining ability of early-medium maturing quality protein maize inbred lines in Eastern and Southern Africa.
    Mebratu A, Wegary D, Teklewold A, Tarekegne A.
    Sci Rep; 2024 Apr 21; 14(1):9151. PubMed ID: 38644368
    [Abstract] [Full Text] [Related]

  • 20. Diallel and prediction (REML/BLUP) for yield components in intervarietal maize hybrids.
    Carvalho IR, de Pelegrin AJ, Szareski VJ, Ferrari M, da Rosa TC, Martins TS, Dos Santos NL, Nardino M, de Souza VQ, de Oliveira AC, da Maia LC.
    Genet Mol Res; 2017 Aug 31; 16(3):. PubMed ID: 28873210
    [Abstract] [Full Text] [Related]

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