710 related articles for article (PubMed ID: 32106624)
21. 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; 20(1):889. PubMed ID: 31771502
[TBL] [Abstract][Full Text] [Related]
22. Genome-Wide Association Studies for Pasmo Resistance in Flax (
He L; Xiao J; Rashid KY; Yao Z; Li P; Jia G; Wang X; Cloutier S; You FM
Front Plant Sci; 2018; 9():1982. PubMed ID: 30693010
[TBL] [Abstract][Full Text] [Related]
23. Using markers with large effect in genetic and genomic predictions.
Lopes MS; Bovenhuis H; van Son M; Nordbø Ø; Grindflek EH; Knol EF; Bastiaansen JW
J Anim Sci; 2017 Jan; 95(1):59-71. PubMed ID: 28177367
[TBL] [Abstract][Full Text] [Related]
24. Accuracy of genomic selection for a sib-evaluated trait using identity-by-state and identity-by-descent relationships.
Vela-Avitúa S; Meuwissen TH; Luan T; Ødegård J
Genet Sel Evol; 2015 Feb; 47(1):9. PubMed ID: 25888184
[TBL] [Abstract][Full Text] [Related]
25. An innovative procedure of genome-wide association analysis fits studies on germplasm population and plant breeding.
He J; Meng S; Zhao T; Xing G; Yang S; Li Y; Guan R; Lu J; Wang Y; Xia Q; Yang B; Gai J
Theor Appl Genet; 2017 Nov; 130(11):2327-2343. PubMed ID: 28828506
[TBL] [Abstract][Full Text] [Related]
26. Identification of quantitative trait nucleotides and candidate genes for tuber yield and mosaic virus tolerance in an elite population of white guinea yam (Dioscorea rotundata) using genome-wide association scan.
Agre PA; Norman PE; Asiedu R; Asfaw A
BMC Plant Biol; 2021 Nov; 21(1):552. PubMed ID: 34809560
[TBL] [Abstract][Full Text] [Related]
27. Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean.
Zhang Y; He J; Wang H; Meng S; Xing G; Li Y; Yang S; Zhao J; Zhao T; Gai J
Front Plant Sci; 2018; 9():1793. PubMed ID: 30568668
[TBL] [Abstract][Full Text] [Related]
28. Identification of quantitative trait nucleotides and candidate genes for soybean seed weight by multiple models of genome-wide association study.
Karikari B; Wang Z; Zhou Y; Yan W; Feng J; Zhao T
BMC Plant Biol; 2020 Sep; 20(1):404. PubMed ID: 32873245
[TBL] [Abstract][Full Text] [Related]
29. Genome-Wide Association Studies (GWAS).
He J; Gai J
Methods Mol Biol; 2023; 2638():123-146. PubMed ID: 36781639
[TBL] [Abstract][Full Text] [Related]
30. The Genetic Dissection of Nitrogen Use-Related Traits in Flax (
Soto-Cerda BJ; Larama G; Cloutier S; Fofana B; Inostroza-Blancheteau C; Aravena G
Int J Mol Sci; 2023 Dec; 24(24):. PubMed ID: 38139451
[TBL] [Abstract][Full Text] [Related]
31. Mapping Quantitative Trait Loci onto Chromosome-Scale Pseudomolecules in Flax.
You FM; Cloutier S
Methods Protoc; 2020 Apr; 3(2):. PubMed ID: 32260372
[TBL] [Abstract][Full Text] [Related]
32. Genome-Wide Association and Prediction of Grain and Semolina Quality Traits in Durum Wheat Breeding Populations.
Fiedler JD; Salsman E; Liu Y; Michalak de Jiménez M; Hegstad JB; Chen B; Manthey FA; Chao S; Xu S; Elias EM; Li X
Plant Genome; 2017 Nov; 10(3):. PubMed ID: 29293807
[TBL] [Abstract][Full Text] [Related]
33. Multi-locus genome-wide association study and genomic prediction for flowering time in chrysanthemum.
Su J; Lu Z; Zeng J; Zhang X; Yang X; Wang S; Zhang F; Jiang J; Chen F
Planta; 2023 Dec; 259(1):13. PubMed ID: 38063918
[TBL] [Abstract][Full Text] [Related]
34. Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment.
Tadesse W; Gataa ZE; Rachdad FE; Baouchi AE; Kehel Z; Alemu A
Mol Genet Genomics; 2023 Nov; 298(6):1515-1526. PubMed ID: 37851098
[TBL] [Abstract][Full Text] [Related]
35. Multi-trait meta-analyses reveal 25 quantitative trait loci for economically important traits in Brown Swiss cattle.
Fang ZH; Pausch H
BMC Genomics; 2019 Sep; 20(1):695. PubMed ID: 31481029
[TBL] [Abstract][Full Text] [Related]
36. Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing.
Garcia A; Tsuruta S; Gao G; Palti Y; Lourenco D; Leeds T
Genet Sel Evol; 2023 Feb; 55(1):11. PubMed ID: 36759760
[TBL] [Abstract][Full Text] [Related]
37. Genome-wide association analyses identify known and novel loci for teat number in Duroc pigs using single-locus and multi-locus models.
Zhuang Z; Ding R; Peng L; Wu J; Ye Y; Zhou S; Wang X; Quan J; Zheng E; Cai G; Huang W; Yang J; Wu Z
BMC Genomics; 2020 May; 21(1):344. PubMed ID: 32380955
[TBL] [Abstract][Full Text] [Related]
38. Genome-wide association study and genomic selection for yield and related traits in soybean.
Ravelombola W; Qin J; Shi A; Song Q; Yuan J; Wang F; Chen P; Yan L; Feng Y; Zhao T; Meng Y; Guan K; Yang C; Zhang M
PLoS One; 2021; 16(8):e0255761. PubMed ID: 34388193
[TBL] [Abstract][Full Text] [Related]
39. Use of a Bayesian model including QTL markers increases prediction reliability when test animals are distant from the reference population.
Ma P; Lund MS; Aamand GP; Su G
J Dairy Sci; 2019 Aug; 102(8):7237-7247. PubMed ID: 31155255
[TBL] [Abstract][Full Text] [Related]
40. Genome-wide association studies for yield component traits in a macadamia breeding population.
O'Connor K; Hayes B; Hardner C; Nock C; Baten A; Alam M; Henry R; Topp B
BMC Genomics; 2020 Mar; 21(1):199. PubMed ID: 32131725
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
