메뉴 건너뛰기




Volumn 154, Issue , 2013, Pages 12-22

The use of unbalanced historical data for genomic selection in an international wheat breeding program

Author keywords

CIMMYT; FA; G E; G BLUP; Genomic selection; Genotype by environment interaction; GID; GL; GS; IN; ME; Mega environments; SAWYT; SP; Unbalanced data; Wheat breeding

Indexed keywords

ACCURACY ASSESSMENT; DATA SET; ECOLOGICAL MODELING; GENOMICS; GENOTYPE; POPULATION GENETICS; POPULATION STRUCTURE; PREDICTION; REPRODUCTIVE BEHAVIOR; SEMIARID REGION; WHEAT;

EID: 84887819645     PISSN: 03784290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fcr.2013.07.020     Document Type: Article
Times cited : (88)

References (40)
  • 2
    • 84989051638 scopus 로고
    • Stability analysis in plant breeding
    • Becker H.C., Leon J. Stability analysis in plant breeding. Plant Breeding 1988, 101:1-23.
    • (1988) Plant Breeding , vol.101 , pp. 1-23
    • Becker, H.C.1    Leon, J.2
  • 3
    • 78649304672 scopus 로고    scopus 로고
    • Analysis of yield and oil from a series of canola breeding trials. Part I. fitting factor analytic mixed models with pedigree information
    • Beeck C., Cowling W., Smith A., Cullis B. Analysis of yield and oil from a series of canola breeding trials. Part I. fitting factor analytic mixed models with pedigree information. Genome 2010, 53:992-1001.
    • (2010) Genome , vol.53 , pp. 992-1001
    • Beeck, C.1    Cowling, W.2    Smith, A.3    Cullis, B.4
  • 4
    • 84867465117 scopus 로고    scopus 로고
    • Detection of two major grain yield QTL in bread wheat (Triticum aestivum L.) under heat, drought and high yield potential environments
    • Bennett D., Reynolds M., Mullan D., Izanloo A., Kuchel H., Langridge P., Schnurbusch T. Detection of two major grain yield QTL in bread wheat (Triticum aestivum L.) under heat, drought and high yield potential environments. TAG Theor. Appl. Genet. 2012, 10.1007/s00122-012-1927-2.
    • (2012) TAG Theor. Appl. Genet.
    • Bennett, D.1    Reynolds, M.2    Mullan, D.3    Izanloo, A.4    Kuchel, H.5    Langridge, P.6    Schnurbusch, T.7
  • 5
    • 84856866301 scopus 로고    scopus 로고
    • Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers
    • Burgueño J., de los Campos G., Weigel K., Crossa J. Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers. Crop Sci. 2012, 52:1-13.
    • (2012) Crop Sci. , vol.52 , pp. 1-13
    • Burgueño, J.1    de los Campos, G.2    Weigel, K.3    Crossa, J.4
  • 7
    • 84856690273 scopus 로고    scopus 로고
    • Crop improvement in the CGIAR as a global success story of open access and international collaboration
    • Byerlee D., Dubin H. Crop improvement in the CGIAR as a global success story of open access and international collaboration. Int. J. Commons 2009, 4:452-480.
    • (2009) Int. J. Commons , vol.4 , pp. 452-480
    • Byerlee, D.1    Dubin, H.2
  • 8
    • 84863581942 scopus 로고    scopus 로고
    • The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes
    • Clark S.A., Hickey J.M., Daetwyler H.D., van der Werf J.H. The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes. Genet. Selec. Evol. 2012, 44:1-9.
    • (2012) Genet. Selec. Evol. , vol.44 , pp. 1-9
    • Clark, S.A.1    Hickey, J.M.2    Daetwyler, H.D.3    van der Werf, J.H.4
  • 9
    • 36849039475 scopus 로고    scopus 로고
    • Prediction of response to marker-assisted and genomic selection using selection index theory
    • Dekkers J.C.M. Prediction of response to marker-assisted and genomic selection using selection index theory. J. Anim. Breeding Genet. 2007, 124:331-341.
    • (2007) J. Anim. Breeding Genet. , vol.124 , pp. 331-341
    • Dekkers, J.C.M.1
  • 11
    • 85136354327 scopus 로고    scopus 로고
    • Ridge regression and other kernels for genomic selection with R package rrBLUP
    • Endelman J.B. Ridge regression and other kernels for genomic selection with R package rrBLUP. Plant Genome 2011, 4:250-255.
    • (2011) Plant Genome , vol.4 , pp. 250-255
    • Endelman, J.B.1
  • 12
    • 84883199029 scopus 로고    scopus 로고
    • Shrinkage estimation of the realized relationship matrix. G3: genes Genomes
    • Endelman J.B., Jannink J.L. Shrinkage estimation of the realized relationship matrix. G3: genes Genomes. Genetics (Bethesda) 2012, 2:1405-1413.
    • (2012) Genetics (Bethesda) , vol.2 , pp. 1405-1413
    • Endelman, J.B.1    Jannink, J.L.2
  • 13
    • 84970558538 scopus 로고
    • The analysis of adaptation in a plant breeding programme
    • Finlay K.W., Wilkinson G.N. The analysis of adaptation in a plant breeding programme. Aust. J. Agric. Res. 1963, 14:742-754.
    • (1963) Aust. J. Agric. Res. , vol.14 , pp. 742-754
    • Finlay, K.W.1    Wilkinson, G.N.2
  • 15
    • 0000502954 scopus 로고
    • Model selection and validation for yield trials with interaction
    • Gauch H.G. Model selection and validation for yield trials with interaction. Biometrics 1988, 44:705-715.
    • (1988) Biometrics , vol.44 , pp. 705-715
    • Gauch, H.G.1
  • 18
    • 84876436922 scopus 로고    scopus 로고
    • Using genomic prediction to characterize environments and optimize prediction accuracy in applied breeding data
    • Heslot N., Jannink J., Sorrells M.E. Using genomic prediction to characterize environments and optimize prediction accuracy in applied breeding data. Crop Sci. 2013, 53:921-933.
    • (2013) Crop Sci. , vol.53 , pp. 921-933
    • Heslot, N.1    Jannink, J.2    Sorrells, M.E.3
  • 19
    • 0014129195 scopus 로고
    • Hierarchical clustering schemes
    • Johnson S.C. Hierarchical clustering schemes. Psychometrika 1967, 32:241-254.
    • (1967) Psychometrika , vol.32 , pp. 241-254
    • Johnson, S.C.1
  • 20
    • 3843129519 scopus 로고    scopus 로고
    • Associations among international CIMMYT bread wheat yield testing locations in high rainfall areas and their implications for wheat breeding
    • Lillemo M., Van Ginkel M., Trethowan R.M., Hernandez E., Rajaram S. Associations among international CIMMYT bread wheat yield testing locations in high rainfall areas and their implications for wheat breeding. Crop Sci. 2004, 44:1163-1169.
    • (2004) Crop Sci. , vol.44 , pp. 1163-1169
    • Lillemo, M.1    Van Ginkel, M.2    Trethowan, R.M.3    Hernandez, E.4    Rajaram, S.5
  • 22
    • 84863603880 scopus 로고    scopus 로고
    • Genetic yield gains of the CIMMYT international semi-arid wheat yield trials from 1994 to 2010
    • Manès Y., Gomez H.F., Puhl L., Reynolds M., Braun H.J., Trethowan R. Genetic yield gains of the CIMMYT international semi-arid wheat yield trials from 1994 to 2010. Crop Sci. 2012, 52:1543-1552.
    • (2012) Crop Sci. , vol.52 , pp. 1543-1552
    • Manès, Y.1    Gomez, H.F.2    Puhl, L.3    Reynolds, M.4    Braun, H.J.5    Trethowan, R.6
  • 23
    • 77949844022 scopus 로고    scopus 로고
    • Factor-analytic models for genotype×environment type problems and structured covariance matrices
    • 10.1186/1297-9686-41-21
    • Meyer K. Factor-analytic models for genotype×environment type problems and structured covariance matrices. Genet. Selec. Evol. 2009, 41:1-11. 10.1186/1297-9686-41-21.
    • (2009) Genet. Selec. Evol. , vol.41 , pp. 1-11
    • Meyer, K.1
  • 24
    • 0031874045 scopus 로고    scopus 로고
    • Empirical best linear unbiased prediction in cultivar trials using factor-analytic variance-covariance structures
    • Piepho H.P. Empirical best linear unbiased prediction in cultivar trials using factor-analytic variance-covariance structures. Theor. Appl. Genet. 1998, 97:195-201.
    • (1998) Theor. Appl. Genet. , vol.97 , pp. 195-201
    • Piepho, H.P.1
  • 25
    • 18744366974 scopus 로고    scopus 로고
    • Best linear unbiased prediction of cultivar effects for subdivided target regions
    • Piepho H.P., Mohring J. Best linear unbiased prediction of cultivar effects for subdivided target regions. Crop Sci. 2005, 45:1151-1159.
    • (2005) Crop Sci. , vol.45 , pp. 1151-1159
    • Piepho, H.P.1    Mohring, J.2
  • 26
    • 84875444971 scopus 로고    scopus 로고
    • Genotyping-by-sequencing for plant breeding and genetics
    • Poland J.A., Rife T.W. Genotyping-by-sequencing for plant breeding and genetics. Plant Genome 2012, 5:92-102.
    • (2012) Plant Genome , vol.5 , pp. 92-102
    • Poland, J.A.1    Rife, T.W.2
  • 28
    • 84884285374 scopus 로고    scopus 로고
    • R Development Core Team
    • R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0
    • R Development Core Team R: A Language and Environment for Statistical Computing 2012, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0.
    • (2012) R: A Language and Environment for Statistical Computing
  • 30
    • 78650728721 scopus 로고    scopus 로고
    • SAS Institute Inc.
    • SAS Institute Inc, Cary, NC
    • SAS Institute Inc. SAS-STAT 9.3 Procedures Guide 2012, SAS Institute Inc, Cary, NC.
    • (2012) SAS-STAT 9.3 Procedures Guide
  • 31
    • 34548591216 scopus 로고    scopus 로고
    • High yielding spring bread wheat germplasm for global irrigated and rainfed production systems
    • Singh R., Huerta-Espino J., Sharma R., Joshi A., Trethowan R. High yielding spring bread wheat germplasm for global irrigated and rainfed production systems. Euphytica 2007, 157:351-363. 10.1007/s10681-006-9346-6.
    • (2007) Euphytica , vol.157 , pp. 351-363
    • Singh, R.1    Huerta-Espino, J.2    Sharma, R.3    Joshi, A.4    Trethowan, R.5
  • 32
    • 30444432667 scopus 로고    scopus 로고
    • The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches
    • Smith A.B., Cullis B.R., Thompson R. The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches. J. Agric. Sci. 2005, 143:449-462.
    • (2005) J. Agric. Sci. , vol.143 , pp. 449-462
    • Smith, A.B.1    Cullis, B.R.2    Thompson, R.3
  • 33
    • 34548571917 scopus 로고    scopus 로고
    • Lessons learnt from forty years of international spring wheat bread wheat trials
    • Trethowan R., Crossa J. Lessons learnt from forty years of international spring wheat bread wheat trials. Euphytica 2007, 157:385-390.
    • (2007) Euphytica , vol.157 , pp. 385-390
    • Trethowan, R.1    Crossa, J.2
  • 34
    • 0034816454 scopus 로고    scopus 로고
    • Relationships among bread wheat international yield testing locations in dry areas
    • Trethowan R.M., van Ginkel J., Rajaram M., et al. Relationships among bread wheat international yield testing locations in dry areas. Crop Sci. 2001, 41:1461-1469.
    • (2001) Crop Sci. , vol.41 , pp. 1461-1469
    • Trethowan, R.M.1    van Ginkel, J.2    Rajaram, M.3    et, A.4
  • 35
    • 0036715212 scopus 로고    scopus 로고
    • Progress in breeding wheat for yield and adaptation in global drought affected environments
    • Trethowan R.M., Rajaram M., et al. Progress in breeding wheat for yield and adaptation in global drought affected environments. Crop Sci. 2002, 42:1441-1446.
    • (2002) Crop Sci. , vol.42 , pp. 1441-1446
    • Trethowan, R.M.1    Rajaram, M.2
  • 37
    • 0035700919 scopus 로고    scopus 로고
    • Some vocabulary and grammar for the analysis of multi-environment trials, as applied to the analysis of FPB and PPB trials
    • van Eeuwijk F., Cooper M., DeLacy I., Ceccarelli S., Grando S. Some vocabulary and grammar for the analysis of multi-environment trials, as applied to the analysis of FPB and PPB trials. Euphytica 2001, 122:477-490.
    • (2001) Euphytica , vol.122 , pp. 477-490
    • van Eeuwijk, F.1    Cooper, M.2    DeLacy, I.3    Ceccarelli, S.4    Grando, S.5
  • 38
    • 55849133422 scopus 로고    scopus 로고
    • Efficient methods to compute genomic predictions
    • VanRaden P.M. Efficient methods to compute genomic predictions. J. Dairy Sci. 2008, 91:4414-4423.
    • (2008) J. Dairy Sci. , vol.91 , pp. 4414-4423
    • VanRaden, P.M.1
  • 39
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward J.H. Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 1963, 58:236-244.
    • (1963) J. Am. Stat. Assoc. , vol.58 , pp. 236-244
    • Ward, J.H.1
  • 40
    • 84864717381 scopus 로고    scopus 로고
    • Strategies to subdivide a target population of environments: results from the CIMMYT-led maize hybrid testing programs in Africa
    • Windhausen V.S., Wagener S., Magorokosho C., Makumbi D., Vivek B., Piepho H.P., Melchinger A.E., Atlin G.N. Strategies to subdivide a target population of environments: results from the CIMMYT-led maize hybrid testing programs in Africa. Crop Sci. 2012, 52:2143-2152.
    • (2012) Crop Sci. , vol.52 , pp. 2143-2152
    • Windhausen, V.S.1    Wagener, S.2    Magorokosho, C.3    Makumbi, D.4    Vivek, B.5    Piepho, H.P.6    Melchinger, A.E.7    Atlin, G.N.8


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.