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Cited by 217

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Joint modeling of additive and non-additive genetic line effects in single field trials

Oakey, Helena, Verbyla, Arūnas, Pitchford, Wayne, Cullis, Brian, Kuchel, Haydn·2006·Theoretical and Applied Genetics
DOI 10.1007/s00122-006-0333-z
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Research works printed but not linked: 22

  1. Cooper M, Hammer GL (2005) Preface to special issue: complex traits and plant breeding—can we understand the complexities of gene-to-phenotype relationships and use such knowledge to enhance plant breeding outcomes? Aust J Agric Res 56:869–872 · DOI
  2. Costa e Silva J, Borralho NMG, Potts BM (1994) Additive and non-additive genetic parameters from clonally replicated and seedling progenies of Eucalyptus globulus. Genetics 138:963–971 · DOI · Paper page
  3. Crepieux S, Lebreton C, Servin B, Charmet G (2004) Quantitative trait loci QTL detection in multicross inbred designs: recovering QTL identical-by-descent status information from marker data. Genetics 168:1737–1749 · DOI
  4. Crianiceanu CM, Ruppert D (2004) Likelihood ratio tests in linear mixed models with one variance component. J Roy Stat Soc B66:165–185 · DOI · Paper page
  5. Cullis BR, Smith A, Coombes N (2006) On the design of early generation variety trials with correlated data. J Agric Biol Environ Stat (in press) · DOI · Paper page
  6. Davik J, Honne B (2005) Genetic variance and breeding values for resistance to wind-borne disease [Sphaeotheca macularis (wallr. exfr.)] in strawberry (Fragaria x ananassa duch.) estimated by exploring mixed models and spatial models and pedigree information. Theor Appl Genet 111:256–264 · DOI
  7. Durel CE, Laurens F, Fouillet A, Lespinasse Y (1998) Utilization of pedigree information to estimate genetic parameters from large unbalanced data sets in apple. Theor Appl Genet 96:1077–1085 · doi:10.1007/s001220050842
  8. Dutkowski GW, Costa e Silva J, Gilmour AR, Lopez GA (2002) Spatial analysis methods for forest genetic trials. Can J For Res 32:2201–2214 · DOI · Paper page
  9. Eckermann PJ, Verbyla AP, Cullis BR, Thompson R (2001) The analysis of quantitative traits in wheat mapping populations. Aust J Agric Res 52:1195–1206 · DOI
  10. Henderson CR (1976) A simple method for computing the inverse of a numerator relationship matrix used in the prediction of breeding values. Biometrics 32:69–83 · DOI · Paper page
  11. John J, Ruggiero K, Williams E (2002) ALPHA(n)-designs. Aust NZ J Stat 44:457–465 · doi:10.1111/1467-842x.00247
  12. Martin R, Eccleston J, Chan B (2004) Efficient factorial experiments when the data are spatially correlated. J Stat Plan Inference 126:377–395 · DOI
  13. Meuwissen THE, Luo Z (1992) Computing inbreeding coefficients in large populations. Genet Sel Evol 24:305–313 · DOI · Paper page
  14. Patterson HD, Thompson R (1971) Recovery of inter-block information when block sizes are unequal. Biometrika 58:545–554 · DOI · Paper page
  15. Self SG, Liang K-Y (1987) Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. J Am Stat Assoc 82:605–610 · DOI · Paper page
  16. Sneller CH (1994) SAS programs for calculating coefficients of parentage. Crop Sci 34:1679–1680 · doi:10.2135/cropsci1994.0011183x003400060047x
  17. Stram DO, Lee JW (1994) Variance components testing in the longitudinal mixed effects model. Biometrics 50:1171–1177 · DOI · Paper page
  18. Topal A, Aydin C, Akgun N, Babaoglu M (2004) Diallel cross analysis in durum wheat (Triticum durum Desf.) identification of best parents for some kernel physical features. Field Crops Res 87:1–12 · doi:10.1016/j.fcr.2003.08.015
  19. Viana JMS (2005) Dominance, epistasis, heritabilities and expected genetic gain. Genet Mol Biol 28:67–74 · doi:10.1590/s1415-47572005000100012
  20. Walsh B (2005) The struggle to exploit non-additive variation. Aust J Agric Res 56:873–881 · DOI
  21. van der Werf J, de Boer IJM (1990) Estimation of additive genetic variances when base populations are selected. J Anim Sci 68:3124–3132 · doi:10.2527/1990.68103124x
  22. Wright S (1922) Coefficients of inbreeding and relationship. Am Nat 56:330–338 · DOI · Paper page

Cited by

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Metadata

Authors
Oakey, H., Verbyla, A., Pitchford, W., Cullis, B., & Kuchel, H.
Venue
Theoretical and Applied Genetics
Publisher
Springer Science and Business Media LLC
Published
2006-08-02
Volume
113
Issue
5
Pages
809-819
ISSN
  • 0040-5752 (ISSN-L)
  • 1432-2242
DOI
10.1007/s00122-006-0333-z
OpenAlex
W2036619265
Cited by
217
References
5
FWCI
7.36
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)

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CoChat. (2026). Citation check: Joint modeling of additive and non-additive genetic line effects in single field trials. https://app.cochat.ai/papers/10.1007/s00122-006-0333-z
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Oakey, H., Verbyla, A., Pitchford, W., Cullis, B., & Kuchel, H. (2006). Joint modeling of additive and non-additive genetic line effects in single field trials. Theoretical and Applied Genetics. https://doi.org/10.1007/s00122-006-0333-z

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