259 related articles for article (PubMed ID: 35451771)
1. Genetic Bases of Complex Traits: From Quantitative Trait Loci to Prediction.
Ahmadi N
Methods Mol Biol; 2022; 2467():1-44. PubMed ID: 35451771
[TBL] [Abstract][Full Text] [Related]
2. Marker assisted selection for the improvement of two antagonistic traits under mixed inheritance.
Verrier E
Genet Sel Evol; 2001; 33(1):17-38. PubMed ID: 11268312
[TBL] [Abstract][Full Text] [Related]
3. Trait Mapping Approaches Through Association Analysis in Plants.
Saba Rahim M; Sharma H; Parveen A; Roy JK
Adv Biochem Eng Biotechnol; 2018; 164():83-108. PubMed ID: 29511776
[TBL] [Abstract][Full Text] [Related]
4. Ensemble Learning of QTL Models Improves Prediction of Complex Traits.
Bian Y; Holland JB
G3 (Bethesda); 2015 Aug; 5(10):2073-84. PubMed ID: 26276383
[TBL] [Abstract][Full Text] [Related]
5. Family-based mapping of quantitative trait loci in plant breeding populations with resistance to Fusarium head blight in wheat as an illustration.
Rosyara UR; Gonzalez-Hernandez JL; Glover KD; Gedye KR; Stein JM
Theor Appl Genet; 2009 May; 118(8):1617-31. PubMed ID: 19322557
[TBL] [Abstract][Full Text] [Related]
6. Barcoded bulk QTL mapping reveals highly polygenic and epistatic architecture of complex traits in yeast.
Nguyen Ba AN; Lawrence KR; Rego-Costa A; Gopalakrishnan S; Temko D; Michor F; Desai MM
Elife; 2022 Feb; 11():. PubMed ID: 35147078
[TBL] [Abstract][Full Text] [Related]
7. Deciphering the Genetics of Major End-Use Quality Traits in Wheat.
Naraghi SM; Simsek S; Kumar A; Al Rabbi SMH; Alamri MS; Elias EM; Mergoum M
G3 (Bethesda); 2019 May; 9(5):1405-1427. PubMed ID: 30804024
[TBL] [Abstract][Full Text] [Related]
8. Crop management impacts the efficiency of quantitative trait loci (QTL) detection and use: case study of fruit load×QTL interactions.
Kromdijk J; Bertin N; Heuvelink E; Molenaar J; de Visser PH; Marcelis LF; Struik PC
J Exp Bot; 2014 Jan; 65(1):11-22. PubMed ID: 24227339
[TBL] [Abstract][Full Text] [Related]
9. Detection and validation of EST-SSR markers associated with sugar-related traits in sugarcane using linkage and association mapping.
Ukoskit K; Posudsavang G; Pongsiripat N; Chatwachirawong P; Klomsa-Ard P; Poomipant P; Tragoonrung S
Genomics; 2019 Jan; 111(1):1-9. PubMed ID: 29608956
[TBL] [Abstract][Full Text] [Related]
10. Genome‑wide association study and genomic prediction for growth traits in yellow-plumage chicken using genotyping-by-sequencing.
Yang R; Xu Z; Wang Q; Zhu D; Bian C; Ren J; Huang Z; Zhu X; Tian Z; Wang Y; Jiang Z; Zhao Y; Zhang D; Li N; Hu X
Genet Sel Evol; 2021 Oct; 53(1):82. PubMed ID: 34706641
[TBL] [Abstract][Full Text] [Related]
11. Prediction of complex human traits using the genomic best linear unbiased predictor.
de Los Campos G; Vazquez AI; Fernando R; Klimentidis YC; Sorensen D
PLoS Genet; 2013; 9(7):e1003608. PubMed ID: 23874214
[TBL] [Abstract][Full Text] [Related]
12. Different models of genetic variation and their effect on genomic evaluation.
Clark SA; Hickey JM; van der Werf JH
Genet Sel Evol; 2011 May; 43(1):18. PubMed ID: 21575265
[TBL] [Abstract][Full Text] [Related]
13. Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix.
Tiezzi F; Maltecca C
Genet Sel Evol; 2015 Apr; 47(1):24. PubMed ID: 25886167
[TBL] [Abstract][Full Text] [Related]
14. Genetic architecture of the maize kernel row number revealed by combining QTL mapping using a high-density genetic map and bulked segregant RNA sequencing.
Liu C; Zhou Q; Dong L; Wang H; Liu F; Weng J; Li X; Xie C
BMC Genomics; 2016 Nov; 17(1):915. PubMed ID: 27842488
[TBL] [Abstract][Full Text] [Related]
15. Characterizing the oligogenic architecture of plant growth phenotypes informs genomic selection approaches in a common wheat population.
DeWitt N; Guedira M; Lauer E; Murphy JP; Marshall D; Mergoum M; Johnson J; Holland JB; Brown-Guedira G
BMC Genomics; 2021 May; 22(1):402. PubMed ID: 34058974
[TBL] [Abstract][Full Text] [Related]
16. QTL mapping for grain yield-related traits in bread wheat via SNP-based selective genotyping.
Yang L; Zhao D; Meng Z; Xu K; Yan J; Xia X; Cao S; Tian Y; He Z; Zhang Y
Theor Appl Genet; 2020 Mar; 133(3):857-872. PubMed ID: 31844965
[TBL] [Abstract][Full Text] [Related]
17. Application of a new IBD-based QTL mapping method to common wheat breeding population: analysis of kernel hardness and dough strength.
Crepieux S; Lebreton C; Flament P; Charmet G
Theor Appl Genet; 2005 Nov; 111(7):1409-19. PubMed ID: 16142465
[TBL] [Abstract][Full Text] [Related]
18. Using sequence variants of a QTL region improves the accuracy of genomic evaluation in French Saanen goats.
Talouarn E; Teissier M; Bardou P; Larroque H; Clément V; Palhière I; Tosser-Klopp G; Rupp R; Robert-Granié C
J Dairy Sci; 2021 Jan; 104(1):588-601. PubMed ID: 33131807
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Genetic mapping of quantitative trait loci for resistance to Haemonchus contortus in sheep.
Marshall K; Maddox JF; Lee SH; Zhang Y; Kahn L; Graser HU; Gondro C; Walkden-Brown SW; van der Werf JH
Anim Genet; 2009 Jun; 40(3):262-72. PubMed ID: 19291139
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
