Impact of depth of pedigree and inclusion of historical data on the estimation of additive variance and breeding values in a sugarcane breeding program

Theoretical and Applied Genetics

Volumn 119, Issue 3, 2009, Pages 555-565

  Atkin, Felicity Claire ^a,b   Dieters, Mark J ^a   Stringer, Joanne K ^b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b BSES LIMITED   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL MODEL; AUSTRALIA; BREEDING PROGRAM; GENETIC MODELS; HISTORICAL DATA; PEDIGREE INFORMATION; THREE GENERATIONS; VARIANCE COMPONENTS;

ESTIMATION;

POPULATION STATISTICS;

AGRICULTURE; ARTICLE; AUSTRALIA; BIOLOGICAL MODEL; BIOMETRY; CROP; GENETIC VARIABILITY; GENETICS; HYBRIDIZATION; METHODOLOGY; PEDIGREE; PREDICTION AND FORECASTING; STATISTICAL MODEL; SUGARCANE;

AGRICULTURE; AUSTRALIA; BIOMETRY; CROPS, AGRICULTURAL; GENETIC VARIATION; HYBRIDIZATION, GENETIC; MODELS, GENETIC; MODELS, STATISTICAL; PEDIGREE; PREDICTIVE VALUE OF TESTS; SACCHARUM;

ANIMALIA;

EID: 67749132416     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00122-009-1065-7     Document Type: Article

References (30)

1. H Akaike 1974 A new look at statistical model identification IEEE Trans Autom Control 19 716 722
2. Berding N, Skinner JC (1987) Traditional breeding methods. Copersucar International Sugarcane Workshop, Copersucar, Piracicaba, Brazil
3. G Bremer 1961 Problems in breeding and cytology of sugar cane Euphytica 10 59 78
4. J Costa e Silva NMG Borralho BM Potts 2004 Additive and non-additive genetic parameters from clonally replicated and seedling progenies of Eucalyptus globulus Theoret Appl Genet 108 1113 1119
5. J Davik BI Honne 2005 Genetic variance and breeding values for resistance to a wind-borne disease [Sphaerotheca macularis (Wallr. ex Fr.)] in strawberry (Fragaria × ananassa Duch.) estimated by exploring mixed and spatial models and pedigree information Theoret Appl Genet 111 256 264
6. CE Durel F Laurens A Fouillet Y Lespinasse 1998 Utilization of pedigree information to estimate genetic parameters from large unbalanced data sets in apple Theoret Appl Genet 96 1077 1085
7. T Ericsson 1999 The effect of pedigree error by misidentification of individual trees on genetic evaluation of a full-sib experiment Silvae Genet 48 239 242
8. Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics, 4th edn. Longman Group Ltd, London
9. RCM Furlani MLT de Moraes MDV de Resende E Furlani Jr P Goncalves WVV Filho JR de Paiva 2005 Estimation of variance components and prediction of breeding values in rubber tree breeding using the REML/BLUP procedure Genet Mol Biol 28 271 276
10. AR Gilmour BR Cullis AP Verbyla 1997 Accounting for natural and extraneous variation in the analysis of field experiments J Agric Biol Environ Stat 2 269 293
11. Gilmour AR, Gogel BJ, Cullis BR, Thompson R (2006) ASReml user guide, 2.0th edn. VSN International Ltd, Hemel Hempstead
12. Henderson CR (1984) Applications of linear models in animal breeding. University of Guelph, Guelph
13. CR Henderson 1985 Best linear unbiased prediction of nonadditive genetic merits in noninbred populations J Anim Sci 60 111 117
14. TE Long RK Johnson JW Keele 1990 Effects of errors in pedigree on three methods of estimating breeding value for litter size, backfat and average daily gain in swine J Anim Sci 68 4069 4078
15. H Mehrabani-Yeganeh JP Gibson LR Schaeffer 1999 Using recent versus complete pedigree data in genetic evaluation of a closed nucleus broiler line Poult Sci 78 937 941
16. K Meyer 1991 Estimating variances and covariances for multivariate animal models by restricted maximum likelihood Genet Select Evol 23 67 83
17. Mrode RA (2005) Linear models for the prediction of animal breeding values, 2nd edn. CABI Publishing, Wallingford
18. H Oakey A Verbyla W Pitchford B Cullis H Kuchel 2006 Joint modeling of additive and non-additive genetic line effects in single field trials Theoret Appl Genet 113 809 819
19. H Oakey AP Verbyla BR Cullis X Wei WS Pitchford 2007 Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials Theoret Appl Genet 114 1319 1332
20. HP Piepho J Mohring AE Melchinger A Buchse 2008 BLUP for phenotypic selection in plant breeding and variety testing Euphytica 161 209 228
21. AR Purba A Flori L Baudouin S Hamon 2001 Prediction of oil palm (Elaeis guineensis, Jacq.) agronomic performances using the best linear unbiased predictor (BLUP) Theoret Appl Genet 102 787 792
22. M Quinton C Smith 1997 An empirical check on best linear unbiased prediction genetic evaluation using pig field recording data Can J Anim Sci 77 211 216
23. BT Roach 1989 Origin and improvement of the genetic base of sugarcane Proc Aust Soc Sugar Cane Technol 11 34 48
24. JC Skinner 1959 Controlled pollination of sugar cane Bureau Sugar Exp Stations Tech Commun 1 1 19
25. JK Stringer BR Cullis 2002 Application of spatial analysis techniques to adjust for fertility trends and identify interplot competition in early stage sugarcane selection trials Aust J Agric Res 53 911 918
26. PM Visscher JA Woolliams D Smith JL Williams 2002 Estimation of pedigree errors in the UK dairy population using microsatellite markers and the impact on selection J Dairy Sci 85 2368 2375
27. M Wei JHJ Van der Werf 1993 Animal model estimation of additive and dominance variances in egg production traits of poultry J Anim Sci 71 57 65
28. X Wei NMG Borralho 2000 Genetic gains and levels of relatedness from best linear unbiased prediction of Eucalyptus urophylla for pulp production in southeastern China Can J For Res 30 1601 1607
29. X Wei PA Jackson CL [tmp] McIntyre KS Aitken B Croft 2006 Associations between DNA markers and resistance to diseases in sugarcane and effects of population structure Theoret Appl Genet 114 155 164
30. White TL, Hodge GR (1989) Predicting breeding values with applications in forest tree improvement. Kluwer Academic Publishers, Dordrecht