| 000 | 02510nab a22003737a 4500 | ||
|---|---|---|---|
| 999 |
_c58163 _d58155 |
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| 001 | 58163 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240919020949.0 | ||
| 008 | 150722s2016 xxu|||p|op||| 00| 0 eng d | ||
| 024 | 8 | _ahttps://doi.org/10.1534/g3.116.028118 | |
| 040 | _aMX-TxCIM | ||
| 100 | 1 |
_92702 _aMontesinos-Lopez, A. |
|
| 245 | 1 | 0 | _aGenomic bayesian prediction model for count data with genotype X environment interaction |
| 260 |
_aBethesda, MD : _bGenetics Society of America, _c2016. |
||
| 500 | _aOpen Access | ||
| 500 | _aPeer review | ||
| 520 | _aGenomic tools allow the study of the whole genome and are facilitating the study of genotype-environment combinations and their relationship with phenotype. However, most genomic prediction models developed so far are appropriate for Gaussian phenotypes. For this reason, appropriate genomic prediction models are needed for count data, since the conventional regression models used on count data with a large sample size (nT) and a small number of parameters (p) cannot be used for genomic-enabled prediction where the number of parameters (p) is larger than the sample size (nT). Here we propose a Bayesian mixed negative binomial (BMNB) genomic regression model for counts that takes into account genotype by environment (G×E) interaction. We also provide all the full conditional distributions to implement a Gibbs sampler. We evaluated the proposed model using a simulated data set and a real wheat data set from the International Maize and Wheat Improvement Center (CIMMYT) and collaborators. Results indicate that our BMNB model is a viable alternative for analyzing count data. | ||
| 526 |
_aWC _cFP2 |
||
| 546 | _aText in English | ||
| 650 | 7 |
_94013 _aBayesian theory _2AGROVOC |
|
| 650 | 7 |
_91132 _aGenomics _2AGROVOC |
|
| 650 | 7 |
_91133 _aGenotype environment interaction _2AGROVOC |
|
| 700 | 1 |
_92700 _aMontesinos-Lopez, O.A. _gGenetic Resources Program _8I1706800 |
|
| 700 | 1 |
_9907 _aBurgueño, J. _gGenetic Resources Program _8INT3239 |
|
| 700 | 1 |
_92704 _aEskridge, K. |
|
| 700 | 1 |
_92681 _aFalconi, E.E. |
|
| 700 | 1 |
_9913 _aXinyao He _gGlobal Wheat Program _8INT3297 |
|
| 700 | 1 |
_aPawan Kumar Singh _gGlobal Wheat Program _8INT2868 _9868 |
|
| 700 | 1 |
_94014 _aCichy, K. |
|
| 700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
|
| 773 | 0 |
_wu56922 _x2160-1836 _dBethesda, MD : Genetics Society of America, _tG3 _gv. 7, no. 2, p. 1165-1177 |
|
| 856 | 4 |
_uhttp://hdl.handle.net/10883/18637 _yOpen Access through DSpace |
|
| 942 |
_2ddc _cJA _n0 |
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