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Volumn 11, Issue 2, 2015, Pages 1-25

Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and Statistical Model on Accuracy of Rice Genomic Selection in Elite, Tropical Rice Breeding Lines

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; GENE CLUSTER; GENE IDENTIFICATION; GENE MAPPING; GENE STRUCTURE; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC SELECTION; GENETIC TRAIT; GENOTYPE; GRAIN YIELD; NONHUMAN; PHENOTYPE; PLANT BREEDING; PLANT STRUCTURES; POPULATION GENETICS; QUANTITATIVE TRAIT LOCUS; RICE; ANIMAL; ANIMAL HUSBANDRY; BOVINE; BREEDING; CHROMOSOMAL MAPPING; GENETIC MARKER; GENETICS; GENOME-WIDE ASSOCIATION STUDY; ORYZA; PLANT GENOME;

EID: 84924428504     PISSN: 15537390     EISSN: 15537404     Source Type: Journal    
DOI: 10.1371/journal.pgen.1004982     Document Type: Article
Times cited : (386)

References (68)
  • 1
    • 0141570583 scopus 로고    scopus 로고
    • Four decades of breeding for varietal improvement of irrigated lowland rice in the international rice research institute
    • Peng SBaGSK, (2003) Four decades of breeding for varietal improvement of irrigated lowland rice in the international rice research institute. Plant Production Science 6: 157–164.
    • (2003) Plant Production Science , vol.6 , pp. 157-164
    • Peng, S.B.G.S.K.1
  • 5
    • 49149125700 scopus 로고    scopus 로고
    • Molecular markers and their use in marker-assisted selection in rice
    • Jena KK, Mackill DJ, (2008) Molecular markers and their use in marker-assisted selection in rice. Crop Science 48: 1266–1276.
    • (2008) Crop Science , vol.48 , pp. 1266-1276
    • Jena, K.K.1    Mackill, D.J.2
  • 6
    • 84875745446 scopus 로고    scopus 로고
    • Recent advances in rice science to design salinity and other abiotic stress tolerant rice varieties
    • Gregorio GB IM, Vergara GV, Thirumeni S, (2013) Recent advances in rice science to design salinity and other abiotic stress tolerant rice varieties. SABRAO Journal of Breeding and Genetics 45: 31–41.
    • (2013) SABRAO Journal of Breeding and Genetics , vol.45 , pp. 31-41
    • Gregorio, G.B.I.M.1    Vergara, G.V.2    Thirumeni, S.3
  • 7
    • 0035045051 scopus 로고    scopus 로고
    • Prediction of total genetic value using genome-wide dense marker maps
    • Meuwissen THE, Hayes BJ, Goddard ME, (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157: 1819–1829. 11290733
    • (2001) Genetics , vol.157 , pp. 1819-1829
    • Meuwissen, T.H.E.1    Hayes, B.J.2    Goddard, M.E.3
  • 9
    • 77749298694 scopus 로고    scopus 로고
    • Genomewide Selection with Minimal Crossing in Self-Pollinated Crops
    • Bernardo R, (2010) Genomewide Selection with Minimal Crossing in Self-Pollinated Crops. Crop Science 50: 624–627.
    • (2010) Crop Science , vol.50 , pp. 624-627
    • Bernardo, R.1
  • 11
    • 59349098163 scopus 로고    scopus 로고
    • Invited review: Genomic selection in dairy cattle: progress and challenges
    • Hayes BJ, Bowman PJ, Chamberlain AJ, Goddard ME, (2009) Invited review: Genomic selection in dairy cattle: progress and challenges. Journal of dairy science 92: 433–443. doi: 10.3168/jds.2008-1646 19164653
    • (2009) Journal of dairy science , vol.92 , pp. 433-443
    • Hayes, B.J.1    Bowman, P.J.2    Chamberlain, A.J.3    Goddard, M.E.4
  • 12
    • 63149172767 scopus 로고    scopus 로고
    • Genomewide Selection for Rapid Introgression of Exotic Germplasm in Maize
    • Bernardo R, (2009) Genomewide Selection for Rapid Introgression of Exotic Germplasm in Maize. Crop Science 49: 419–425.
    • (2009) Crop Science , vol.49 , pp. 419-425
    • Bernardo, R.1
  • 13
    • 78650127985 scopus 로고    scopus 로고
    • Plant Breeding with Genomic Selection: Gain per Unit Time and Cost
    • Heffner EL, Lorenz AJ, Jannink JL, Sorrells ME, (2010) Plant Breeding with Genomic Selection: Gain per Unit Time and Cost. Crop Science 50: 1681–1690. 21365924
    • (2010) Crop Science , vol.50 , pp. 1681-1690
    • Heffner, E.L.1    Lorenz, A.J.2    Jannink, J.L.3    Sorrells, M.E.4
  • 14
    • 31544479764 scopus 로고    scopus 로고
    • Improving drought tolerance in rainfed lowland rice: An example from Thailand
    • Jongdee B, Pantuwan G, Fukai S, Fischer K, (2006) Improving drought tolerance in rainfed lowland rice: An example from Thailand. Agricultural Water Management 80: 225–240.
    • (2006) Agricultural Water Management , vol.80 , pp. 225-240
    • Jongdee, B.1    Pantuwan, G.2    Fukai, S.3    Fischer, K.4
  • 15
    • 84860346263 scopus 로고    scopus 로고
    • Evaluation of genome-wide selection efficiency in maize nested association mapping populations
    • Guo ZG, Tucker DM, Lu JW, Kishore V, Gay G, (2012) Evaluation of genome-wide selection efficiency in maize nested association mapping populations. Theoretical and Applied Genetics 124: 261–275. doi: 10.1007/s00122-011-1702-9 21938474
    • (2012) Theoretical and Applied Genetics , vol.124 , pp. 261-275
    • Guo, Z.G.1    Tucker, D.M.2    Lu, J.W.3    Kishore, V.4    Gay, G.5
  • 16
    • 70949108214 scopus 로고    scopus 로고
    • Accuracy of genotypic value predictions for marker-based selection in biparental plant populations
    • Lorenzana RE, Bernardo R, (2009) Accuracy of genotypic value predictions for marker-based selection in biparental plant populations. Theoretical and Applied Genetics 120: 151–161. doi: 10.1007/s00122-009-1166-3 19841887
    • (2009) Theoretical and Applied Genetics , vol.120 , pp. 151-161
    • Lorenzana, R.E.1    Bernardo, R.2
  • 17
    • 84872203377 scopus 로고    scopus 로고
    • Genomewide Selection versus Marker-assisted Recurrent Selection to Improve Grain Yield and Stover-quality Traits for Cellulosic Ethanol in Maize
    • Massman JM, Jung HJG, Bernardo R, (2013) Genomewide Selection versus Marker-assisted Recurrent Selection to Improve Grain Yield and Stover-quality Traits for Cellulosic Ethanol in Maize. Crop Science 53: 58–66.
    • (2013) Crop Science , vol.53 , pp. 58-66
    • Massman, J.M.1    Jung, H.J.G.2    Bernardo, R.3
  • 18
    • 84863591750 scopus 로고    scopus 로고
    • Accuracy and Training Population Design for Genomic Selection on Quantitative Traits in Elite North American Oats
    • Asoro FG, Newell MA, Beavis WD, Scott MP, Jannink J-L, (2011) Accuracy and Training Population Design for Genomic Selection on Quantitative Traits in Elite North American Oats. The Plant Genome Journal 4: 132.
    • (2011) The Plant Genome Journal , vol.4 , pp. 132
    • Asoro, F.G.1    Newell, M.A.2    Beavis, W.D.3    Scott, M.P.4    Jannink, J.-L.5
  • 20
    • 85167520539 scopus 로고    scopus 로고
    • Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program
    • Heffner EL, Jannink JL, Sorrells ME, (2011) Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program. Plant Genome 4: 65–75.
    • (2011) Plant Genome , vol.4 , pp. 65-75
    • Heffner, E.L.1    Jannink, J.L.2    Sorrells, M.E.3
  • 21
    • 84863594529 scopus 로고    scopus 로고
    • Potential and Optimization of Genomic Selection for Fusarium Head Blight Resistance in Six-Row Barley
    • Lorenz AJ, Smith KP, Jannink JL, (2012) Potential and Optimization of Genomic Selection for Fusarium Head Blight Resistance in Six-Row Barley. Crop Science 52: 1609–1621.
    • (2012) Crop Science , vol.52 , pp. 1609-1621
    • Lorenz, A.J.1    Smith, K.P.2    Jannink, J.L.3
  • 22
    • 84878561724 scopus 로고    scopus 로고
    • Genomic Prediction of Genetic Values for Resistance to Wheat Rusts
    • Ornella L, Singh S, Perez P, Burgue√±o J, Singh R, et al. (2012) Genomic Prediction of Genetic Values for Resistance to Wheat Rusts. Plant Gen 5: 136–148.
    • (2012) Plant Gen , vol.5 , pp. 136-148
    • Ornella, L.1    Singh, S.2    Perez, P.3    Burgue√±o, J.4    Singh, R.5
  • 23
    • 84878558210 scopus 로고    scopus 로고
    • Evaluation of Genomic Prediction Methods for Fusarium Head Blight Resistance in Wheat
    • Rutkoski J, Benson J, Jia Y, Brown-Guedira G, Jannink JL, et al. (2012) Evaluation of Genomic Prediction Methods for Fusarium Head Blight Resistance in Wheat. Plant Genome 5: 51–61.
    • (2012) Plant Genome , vol.5 , pp. 51-61
    • Rutkoski, J.1    Benson, J.2    Jia, Y.3    Brown-Guedira, G.4    Jannink, J.L.5
  • 26
    • 84878750602 scopus 로고    scopus 로고
    • Relatedness and Genotype × Environment Interaction Affect Prediction Accuracies in Genomic Selection: A Study in Cassava
    • Ly D, Hamblin M, Rabbi I, Melaku G, Bakare M, et al. (2013) Relatedness and Genotype × Environment Interaction Affect Prediction Accuracies in Genomic Selection: A Study in Cassava. Crop Science 53: 1312.
    • (2013) Crop Science , vol.53 , pp. 1312
    • Ly, D.1    Hamblin, M.2    Rabbi, I.3    Melaku, G.4    Bakare, M.5
  • 28
    • 84878617144 scopus 로고    scopus 로고
    • Genomic Predictability of Interconnected Biparental Maize Populations
    • Riedelsheimer C, Endelman JB, Stange M, Sorrells ME, Jannink JL, et al. (2013) Genomic Predictability of Interconnected Biparental Maize Populations. Genetics 194: 493–+. doi: 10.1534/genetics.113.150227 23535384
    • (2013) Genetics , vol.194 , pp. 493
    • Riedelsheimer, C.1    Endelman, J.B.2    Stange, M.3    Sorrells, M.E.4    Jannink, J.L.5
  • 29
    • 84883177912 scopus 로고    scopus 로고
    • Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments
    • Windhausen VS, Atlin GN, Hickey JM, Crossa J, Jannink JL, et al. (2012) Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments. G3-Genes Genomes Genetics 2: 1427–1436. doi: 10.1534/g3.112.003699 23173094
    • (2012) G3-Genes Genomes Genetics , vol.2 , pp. 1427-1436
    • Windhausen, V.S.1    Atlin, G.N.2    Hickey, J.M.3    Crossa, J.4    Jannink, J.L.5
  • 30
    • 80053388300 scopus 로고    scopus 로고
    • Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa
    • Zhao K, Tung C-W, Eizenga GC, Wright MH, Ali ML, et al. (2011) Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. Nat Commun 2: 467. doi: 10.1038/ncomms1467 21915109
    • (2011) Nat Commun , vol.2 , pp. 467
    • Zhao, K.1    Tung, C.-W.2    Eizenga, G.C.3    Wright, M.H.4    Ali, M.L.5
  • 31
    • 77956295563 scopus 로고    scopus 로고
    • Genomic diversity and introgression in O. sativa reveal the impact of domestication and breeding on the rice genome
    • Zhao K, Wright M, Kimball J, Eizenga G, McClung A, et al. (2010) Genomic diversity and introgression in O. sativa reveal the impact of domestication and breeding on the rice genome. PloS one 5: e10780. doi: 10.1371/journal.pone.0010780 20520727
    • (2010) PloS one , vol.5 , pp. 10780
    • Zhao, K.1    Wright, M.2    Kimball, J.3    Eizenga, G.4    McClung, A.5
  • 33
    • 84901631120 scopus 로고    scopus 로고
    • The impact of population structure on genomic prediction in stratified populations
    • Guo Z, Tucker D, Basten C, Gandhi H, Ersoz E, et al. (2014) The impact of population structure on genomic prediction in stratified populations. Theoretical and Applied Genetics 127: 749–762. doi: 10.1007/s00122-013-2255-x 24452438
    • (2014) Theoretical and Applied Genetics , vol.127 , pp. 749-762
    • Guo, Z.1    Tucker, D.2    Basten, C.3    Gandhi, H.4    Ersoz, E.5
  • 34
    • 37249066099 scopus 로고    scopus 로고
    • Linkage mapping of domestication loci in a large maize-teosinte backcross resource
    • Briggs WH, McMullen MD, Gaut BS, Doebley J, (2007) Linkage mapping of domestication loci in a large maize-teosinte backcross resource. Genetics 177: 1915–1928. 17947434
    • (2007) Genetics , vol.177 , pp. 1915-1928
    • Briggs, W.H.1    McMullen, M.D.2    Gaut, B.S.3    Doebley, J.4
  • 35
    • 0023339337 scopus 로고
    • Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action
    • Edwards MD, Stuber CW, Wendel JF, (1987) Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action. Genetics 116: 113–125. 3596228
    • (1987) Genetics , vol.116 , pp. 113-125
    • Edwards, M.D.1    Stuber, C.W.2    Wendel, J.F.3
  • 36
    • 68449094455 scopus 로고    scopus 로고
    • Genetic Properties of the Maize Nested Association Mapping Population
    • McMullen MD, Kresovich S, Villeda HS, Bradbury P, Li H, et al. (2009) Genetic Properties of the Maize Nested Association Mapping Population. Science 325: 737–740. doi: 10.1126/science.1174320 19661427
    • (2009) Science , vol.325 , pp. 737-740
    • McMullen, M.D.1    Kresovich, S.2    Villeda, H.S.3    Bradbury, P.4    Li, H.5
  • 37
    • 0001159582 scopus 로고
    • Epistasis in Maize (Zea mays L.): III. Significance in Predictions of Hybrid Performances
    • Stuber CW, Williams WP, Moll RH, (1973) Epistasis in Maize (Zea mays L.): III. Significance in Predictions of Hybrid Performances. Crop Sci 13: 195–200.
    • (1973) Crop Sci , vol.13 , pp. 195-200
    • Stuber, C.W.1    Williams, W.P.2    Moll, R.H.3
  • 38
    • 80052334114 scopus 로고    scopus 로고
    • Genetic architecture of aluminum tolerance in rice (Oryza sativa) determined through genome-wide association analysis and QTL mapping
    • Famoso AN, Zhao K, Clark RT, Tung CW, Wright MH, et al. (2011) Genetic architecture of aluminum tolerance in rice (Oryza sativa) determined through genome-wide association analysis and QTL mapping. PLoS genetics 7: e1002221. doi: 10.1371/journal.pgen.1002221 21829395
    • (2011) PLoS genetics , vol.7 , pp. 1002221
    • Famoso, A.N.1    Zhao, K.2    Clark, R.T.3    Tung, C.W.4    Wright, M.H.5
  • 39
    • 84861736043 scopus 로고    scopus 로고
    • A large-effect QTL for rice grain yield under upland drought stress on chromosome 1
    • Venuprasad R, Bool ME, Quiatchon L, Cruz MTS, Amante M, et al. (2012) A large-effect QTL for rice grain yield under upland drought stress on chromosome 1. Molecular Breeding 30: 535–547.
    • (2012) Molecular Breeding , vol.30 , pp. 535-547
    • Venuprasad, R.1    Bool, M.E.2    Quiatchon, L.3    Cruz, M.T.S.4    Amante, M.5
  • 40
    • 0000747499 scopus 로고    scopus 로고
    • A major locus for submergence tolerance mapped on rice chromosome 9
    • Xu KN, Mackill DJ, (1996) A major locus for submergence tolerance mapped on rice chromosome 9. Molecular Breeding 2: 219–224. 9160626
    • (1996) Molecular Breeding , vol.2 , pp. 219-224
    • Xu, K.N.1    Mackill, D.J.2
  • 41
    • 0031022245 scopus 로고    scopus 로고
    • Epistasis for three grain yield components in rice
    • Li Z, Pinson Shannon R., Park William D., Paterson Andrew H., Stansel James W., (1997) Epistasis for three grain yield components in rice. Genetics 145: 453–465. 9071598
    • (1997) Genetics , vol.145 , pp. 453-465
    • Li, Z.1    Pinson, S.R.2    Park, W.D.3    Paterson, A.H.4    Stansel, J.W.5
  • 42
    • 0036067016 scopus 로고    scopus 로고
    • Loss-of-function of a rice gibberellin biosynthetic gene, GA20 oxidase (GA20ox-2), led to the rice 'green revolution'
    • Ashikari M, Sasaki A, Ueguchi-Tanaka M, Itoh H, Nishimura A, et al. (2002) Loss-of-function of a rice gibberellin biosynthetic gene, GA20 oxidase (GA20ox-2), led to the rice 'green revolution'. Breeding Science 52: 143–150.
    • (2002) Breeding Science , vol.52 , pp. 143-150
    • Ashikari, M.1    Sasaki, A.2    Ueguchi-Tanaka, M.3    Itoh, H.4    Nishimura, A.5
  • 43
    • 84897594867 scopus 로고    scopus 로고
    • Characterization of Epistatic Interaction of QTLs LH8 and EH3 Controlling Heading Date in Rice
    • Chen JB, Li XY, Cheng C, Wang YH, Qin M, et al. (2014) Characterization of Epistatic Interaction of QTLs LH8 and EH3 Controlling Heading Date in Rice. Scientific Reports 4. doi: 10.1038/srep07387 25552271
    • (2014) Scientific Reports , vol.4
    • Chen, J.B.1    Li, X.Y.2    Cheng, C.3    Wang, Y.H.4    Qin, M.5
  • 44
    • 0034486611 scopus 로고    scopus 로고
    • Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the arabidopsis flowering time gene CONSTANS
    • Yano M, Katayose Y, Ashikari M, Yamanouchi U, Monna L, et al. (2000) Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the arabidopsis flowering time gene CONSTANS. Plant Cell 12: 2473–2483. 11148291
    • (2000) Plant Cell , vol.12 , pp. 2473-2483
    • Yano, M.1    Katayose, Y.2    Ashikari, M.3    Yamanouchi, U.4    Monna, L.5
  • 47
    • 84859210032 scopus 로고    scopus 로고
    • Fast gapped-read alignment with Bowtie 2
    • Langmead B, Salzberg SL, (2012) Fast gapped-read alignment with Bowtie 2. Nat Meth 9: 357–359.
    • (2012) Nat Meth , vol.9 , pp. 357-359
    • Langmead, B.1    Salzberg, S.L.2
  • 48
    • 84878685948 scopus 로고    scopus 로고
    • Comprehensive genotyping of the USA national maize inbred seed bank
    • Romay MC, Millard MJ, Glaubitz JC, Peiffer JA, Swarts KL, et al. (2013) Comprehensive genotyping of the USA national maize inbred seed bank. Genome Biol 14: R55. doi: 10.1186/gb-2013-14-6-r55 23759205
    • (2013) Genome Biol , vol.14 , pp. 55
    • Romay, M.C.1    Millard, M.J.2    Glaubitz, J.C.3    Peiffer, J.A.4    Swarts, K.L.5
  • 50
    • 84883167942 scopus 로고    scopus 로고
    • Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat. G3-
    • Perez-Rodriguez P, Gianola D, Gonzalez-Camacho JM, Crossa J, Manes Y, et al. (2012) Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat. G3-Genes Genomes Genetics 2: 1595–1605. doi: 10.1534/g3.112.003665 23275882
    • (2012) Genes Genomes Genetics , vol.2 , pp. 1595-1605
    • Perez-Rodriguez, P.1    Gianola, D.2    Gonzalez-Camacho, J.M.3    Crossa, J.4    Manes, Y.5
  • 51
    • 84901019284 scopus 로고    scopus 로고
    • Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat
    • Zhao Y, Mette MF, Gowda M, Longin CFH, Reif JC, (2014) Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat. Heredity 112: 638–645. doi: 10.1038/hdy.2014.1 24518889
    • (2014) Heredity , vol.112 , pp. 638-645
    • Zhao, Y.1    Mette, M.F.2    Gowda, M.3    Longin, C.F.H.4    Reif, J.C.5
  • 52
    • 78649325488 scopus 로고    scopus 로고
    • Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers
    • Crossa J, de los Campos G, Perez P, Gianola D, Burgueno J, et al. (2010) Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers. Genetics 186: 713–U406. doi: 10.1534/genetics.110.118521 20813882
    • (2010) Genetics , vol.186 , pp. 406-713
    • Crossa, J.1    de los Campos, G.2    Perez, P.3    Gianola, D.4    Burgueno, J.5
  • 54
    • 75149176440 scopus 로고    scopus 로고
    • Use of Wrapper Algorithms Coupled with a Random Forests Classifier for Variable Selection in Large-Scale Genomic Association Studies
    • Rodin AS, Litvinenko A, Klos K, Morrison AC, Woodage T, et al. (2009) Use of Wrapper Algorithms Coupled with a Random Forests Classifier for Variable Selection in Large-Scale Genomic Association Studies. Journal of Computational Biology 16: 1705–1718. doi: 10.1089/cmb.2008.0037 20047492
    • (2009) Journal of Computational Biology , vol.16 , pp. 1705-1718
    • Rodin, A.S.1    Litvinenko, A.2    Klos, K.3    Morrison, A.C.4    Woodage, T.5
  • 55
    • 84890396289 scopus 로고    scopus 로고
    • Genomewide Selection when Major Genes Are Known
    • Bernardo R, (2014) Genomewide Selection when Major Genes Are Known. Crop Science 54: 68.
    • (2014) Crop Science , vol.54 , pp. 68
    • Bernardo, R.1
  • 56
    • 84924420104 scopus 로고    scopus 로고
    • High-Throughput SNP Genotyping to Accelerate Crop Improvement
    • Thomson MJ, (2014) High-Throughput SNP Genotyping to Accelerate Crop Improvement. Plant Breed Biotech 2: 195–212.
    • (2014) Plant Breed Biotech , vol.2 , pp. 195-212
    • Thomson, M.J.1
  • 57
    • 84893162902 scopus 로고    scopus 로고
    • Multiple major QTL lead to stable yield performance of rice cultivars across varying drought intensities
    • Dixit S, Singh A, Cruz MTS, Maturan PT, Amante M, et al. (2014) Multiple major QTL lead to stable yield performance of rice cultivars across varying drought intensities. Bmc Genetics 15. 25551672
    • (2014) Bmc Genetics , vol.15
    • Dixit, S.1    Singh, A.2    Cruz, M.T.S.3    Maturan, P.T.4    Amante, M.5
  • 58
    • 77950019463 scopus 로고    scopus 로고
    • Dissection of a QTL reveals an adaptive, interacting gene complex associated with transgressive variation for flowering time in rice
    • Maas L, McClung A, McCouch S, (2010) Dissection of a QTL reveals an adaptive, interacting gene complex associated with transgressive variation for flowering time in rice. Theoretical and Applied Genetics 120: 895–908. doi: 10.1007/s00122-009-1219-7 19949767
    • (2010) Theoretical and Applied Genetics , vol.120 , pp. 895-908
    • Maas, L.1    McClung, A.2    McCouch, S.3
  • 59
    • 33646174055 scopus 로고    scopus 로고
    • Substitution Mapping of dth1.1, a Flowering-Time Quantitative Trait Locus (QTL) Associated With Transgressive Variation in Rice, Reveals Multiple Sub-QTL
    • Thomson MJ, Edwards JD, Septiningsih EM, Harrington SE, McCouch SR, (2006) Substitution Mapping of dth1.1, a Flowering-Time Quantitative Trait Locus (QTL) Associated With Transgressive Variation in Rice, Reveals Multiple Sub-QTL. Genetics 172: 2501–2514. 16452146
    • (2006) Genetics , vol.172 , pp. 2501-2514
    • Thomson, M.J.1    Edwards, J.D.2    Septiningsih, E.M.3    Harrington, S.E.4    McCouch, S.R.5
  • 60
    • 40049100503 scopus 로고    scopus 로고
    • Fine mapping of a yield-enhancing QTL cluster associated with transgressive variation in an Oryza sativa¬†√ó¬†O. rufipogon cross
    • Xie X, Jin F, Song M-H, Suh J-P, Hwang H-G, et al. (2008) Fine mapping of a yield-enhancing QTL cluster associated with transgressive variation in an Oryza sativa¬†√ó¬†O. rufipogon cross. Theoretical and Applied Genetics 116: 613–622. 18092146
    • (2008) Theoretical and Applied Genetics , vol.116 , pp. 613-622
    • Xie, X.1    Jin, F.2    Song, M.-H.3    Suh, J.-P.4    Hwang, H.-G.5
  • 61
    • 84887611798 scopus 로고    scopus 로고
    • Optimal Design of Preliminary Yield Trials with Genome-Wide Markers
    • Endelman JB, Atlin GN, Beyene Y, Semagn K, Zhang X, et al. (2014) Optimal Design of Preliminary Yield Trials with Genome-Wide Markers. Crop Sci 54: 48–59.
    • (2014) Crop Sci , vol.54 , pp. 48-59
    • Endelman, J.B.1    Atlin, G.N.2    Beyene, Y.3    Semagn, K.4    Zhang, X.5
  • 62
    • 79955783956 scopus 로고    scopus 로고
    • A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species
    • Elshire RJ, Glaubitz JC, Sun Q, Poland JA, Kawamoto K, et al. (2011) A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PloS one 6: e19379. doi: 10.1371/journal.pone.0019379 21573248
    • (2011) PloS one , vol.6 , pp. 19379
    • Elshire, R.J.1    Glaubitz, J.C.2    Sun, Q.3    Poland, J.A.4    Kawamoto, K.5
  • 63
    • 84904109725 scopus 로고    scopus 로고
    • Spindel J, Wright M, Chen C, Cobb J, Gage J, et al. (2013) Bridging the genotyping gap: using genotyping by sequencing (GBS) to add high-density SNP markers and new value to traditional bi-parental mapping and breeding populations. Theoretical and Applied Genetics: 1–18. doi: 10.1007/s13197-013-0993-z 25593984
    • (2013)
  • 64
  • 65
    • 45849117254 scopus 로고    scopus 로고
    • Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits
    • Gianola D, van Kaam JB, (2008) Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits. Genetics 178: 2289–2303. doi: 10.1534/genetics.107.084285 18430950
    • (2008) Genetics , vol.178 , pp. 2289-2303
    • Gianola, D.1    van Kaam, J.B.2
  • 66
    • 70350136780 scopus 로고    scopus 로고
    • Additive genetic variability and the Bayesian alphabet
    • Gianola D, de los Campos G, Hill WG, Manfredi E, Fernando R, (2009) Additive genetic variability and the Bayesian alphabet. Genetics 183: 347–363. doi: 10.1534/genetics.109.103952 19620397
    • (2009) Genetics , vol.183 , pp. 347-363
    • Gianola, D.1    de los Campos, G.2    Hill, W.G.3    Manfredi, E.4    Fernando, R.5
  • 67
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L, (2001) Random forests. Machine Learning 45: 5–32.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.