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991 related items for PubMed ID: 34591233
1. 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 [Abstract] [Full Text] [Related]
2. High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.). Zhang K, Kuraparthy V, Fang H, Zhu L, Sood S, Jones DC. BMC Genomics; 2019 Nov 21; 20(1):889. PubMed ID: 31771502 [Abstract] [Full Text] [Related]
3. 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 [Abstract] [Full Text] [Related]
4. TeoNAM: A Nested Association Mapping Population for Domestication and Agronomic Trait Analysis in Maize. Chen Q, Yang CJ, York AM, Xue W, Daskalska LL, DeValk CA, Krueger KW, Lawton SB, Spiegelberg BG, Schnell JM, Neumeyer MA, Perry JS, Peterson AC, Kim B, Bergstrom L, Yang L, Barber IC, Tian F, Doebley JF. Genetics; 2019 Nov 21; 213(3):1065-1078. PubMed ID: 31481533 [Abstract] [Full Text] [Related]
5. 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 [Abstract] [Full Text] [Related]
6. High-density genetic map construction and QTLs analysis of grain yield-related traits in sesame (Sesamum indicum L.) based on RAD-Seq techonology. Wu K, Liu H, Yang M, Tao Y, Ma H, Wu W, Zuo Y, Zhao Y. BMC Plant Biol; 2014 Oct 10; 14():274. PubMed ID: 25300176 [Abstract] [Full Text] [Related]
8. 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 [Abstract] [Full Text] [Related]
9. 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 28; 133(10):2881-2895. PubMed ID: 32594266 [Abstract] [Full Text] [Related]
10. Mapping quantitative trait loci associated with stem-related traits in maize (Zea mays L.). Shang Q, Zhang D, Li R, Wang K, Cheng Z, Zhou Z, Hao Z, Pan J, Li X, Shi L. Plant Mol Biol; 2020 Dec 28; 104(6):583-595. PubMed ID: 32901412 [Abstract] [Full Text] [Related]
11. Genetic analysis of agronomic traits associated with plant architecture by QTL mapping in maize. Zheng ZP, Liu XH. Genet Mol Res; 2013 Apr 17; 12(2):1243-53. PubMed ID: 23661449 [Abstract] [Full Text] [Related]
12. Development of a High-Density SNP-Based Linkage Map and Detection of QTL for β-Glucans, Protein Content, Grain Yield per Spike and Heading Time in Durum Wheat. Marcotuli I, Gadaleta A, Mangini G, Signorile AM, Zacheo SA, Blanco A, Simeone R, Colasuonno P. Int J Mol Sci; 2017 Jun 21; 18(6):. PubMed ID: 28635630 [Abstract] [Full Text] [Related]
13. High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 × Beinong6. Wu QH, Chen YX, Zhou SH, Fu L, Chen JJ, Xiao Y, Zhang D, Ouyang SH, Zhao XJ, Cui Y, Zhang DY, Liang Y, Wang ZZ, Xie JZ, Qin JX, Wang GX, Li DL, Huang YL, Yu MH, Lu P, Wang LL, Wang L, Wang H, Dang C, Li J, Zhang Y, Peng HR, Yuan CG, You MS, Sun QX, Wang JR, Wang LX, Luo MC, Han J, Liu ZY. PLoS One; 2015 Jun 21; 10(2):e0118144. PubMed ID: 25675376 [Abstract] [Full Text] [Related]
14. 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 [Abstract] [Full Text] [Related]
15. 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 12; 15():288. PubMed ID: 26654531 [Abstract] [Full Text] [Related]
16. Genome-wide SNP identification, linkage map construction and QTL mapping for seed mineral concentrations and contents in pea (Pisum sativum L.). Ma Y, Coyne CJ, Grusak MA, Mazourek M, Cheng P, Main D, McGee RJ. BMC Plant Biol; 2017 Feb 13; 17(1):43. PubMed ID: 28193168 [Abstract] [Full Text] [Related]
17. Teosinte-Derived Advanced Backcross Population Harbors Genomic Regions for Grain Yield Attributing Traits in Maize. Kumar P, Choudhary M, Sheoran S, Longmei N, Kumar B, Jat BS, Dagla MC, Bhushan B, Aggarwal SK, Bagaria PK, Sharma A, Singh SB. Int J Mol Sci; 2024 Sep 25; 25(19):. PubMed ID: 39408630 [Abstract] [Full Text] [Related]
18. 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 25; 130(5):1011-1029. PubMed ID: 28215025 [Abstract] [Full Text] [Related]
19. High Density Linkage Map Construction and Mapping of Yield Trait QTLs in Maize (Zea mays) Using the Genotyping-by-Sequencing (GBS) Technology. Su C, Wang W, Gong S, Zuo J, Li S, Xu S. Front Plant Sci; 2017 May 25; 8():706. PubMed ID: 28533786 [Abstract] [Full Text] [Related]
20. An ultra-high-density map as a community resource for discerning the genetic basis of quantitative traits in maize. Liu H, Niu Y, Gonzalez-Portilla PJ, Zhou H, Wang L, Zuo T, Qin C, Tai S, Jansen C, Shen Y, Lin H, Lee M, Ware D, Zhang Z, Lübberstedt T, Pan G. BMC Genomics; 2015 Dec 21; 16():1078. PubMed ID: 26691201 [Abstract] [Full Text] [Related] Page: [Next] [New Search]