| 000 | 03284nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-91223-3 | ||
| 003 | DE-He213 | ||
| 005 | 20200127152618.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180926s2018 gw | s |||| 0|eng d | ||
| 020 |
_a9783319912233 _9978-3-319-91223-3 |
||
| 024 | 7 |
_a10.1007/978-3-319-91223-3 _2doi |
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| 050 | 4 | _aQH323.5 | |
| 072 | 7 |
_aPSA _2bicssc |
|
| 072 | 7 |
_aSCI086000 _2bisacsh |
|
| 072 | 7 |
_aPSA _2thema |
|
| 082 | 0 | 4 |
_a570.15195 _223 |
| 100 | 1 |
_aCéron-Rojas, J. Jesus. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aLinear Selection Indices in Modern Plant Breeding _h[electronic resource] / _cby J. Jesus Céron-Rojas, José Crossa. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
| 300 |
_aXXII, 256 p. 45 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aGeneral introduction -- The linear phenotypic selection index theory -- Constrained linear phenotypic selection indices -- Constrained linear phenotypic selection indices -- Linear marker and genomic selection indices -- Linear genomic selection indices -- Constrained linear genomic selection indices -- Linear phenotypic eigen selection index methods -- Linear molecular and genomic eigen selection index methods -- Multistage linear selection indices -- Stochastic simulation of four linear phenotypic selection indices -- RIndSel: Selection indices with R. | |
| 506 | 0 | _aOpen Access | |
| 520 | _aThis open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights are fixed and known - or fixed, but unknown - to predict the net genetic merit in the phenotypic, marker and genomic context. Further, it shows how to combine the LSI theory with the independent culling method to develop the multistage selection index theory. The final two chapters present simulation results and SAS and R codes, respectively, to estimate the parameters and make selections using some of the LSIs described. It is essential reading for plant quantitative geneticists, but is also a valuable resource for animal breeders. | ||
| 650 | 0 | _aBiostatistics. | |
| 650 | 0 | _aPlant breeding. | |
| 650 | 0 | _aAnimal genetics. | |
| 650 | 1 | 4 |
_aBiostatistics. _0http://scigraph.springernature.com/things/product-market-codes/L15020 |
| 650 | 2 | 4 |
_aPlant Breeding/Biotechnology. _0http://scigraph.springernature.com/things/product-market-codes/L24060 |
| 650 | 2 | 4 |
_aAnimal Genetics and Genomics. _0http://scigraph.springernature.com/things/product-market-codes/L32030 |
| 700 | 1 |
_aCrossa, José. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319912226 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319912240 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030082024 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-91223-3 |
| 912 | _aZDB-2-SBL | ||
| 912 | _aZDB-2-SOB | ||
| 999 |
_c524316 _d524314 |
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