000 03151nam a22005415i 4500
001 978-3-319-91223-3
003 DE-He213
005 20250526092115.0
007 cr nn 008mamaa
008 180926s2018 sz | s |||| 0|eng d
020 _a9783319912233
_9978-3-319-91223-3
024 7 _a10.1007/978-3-319-91223-3
_2doi
050 4 _aQH323.5
072 7 _aPBT
_2bicssc
072 7 _aMED090000
_2bisacsh
072 7 _aPBT
_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
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _aBiometry.
650 0 _aPlant biotechnology.
650 0 _aGenetics.
650 1 4 _aBiostatistics.
650 2 4 _aPlant Biotechnology.
650 2 4 _aGenetics and Genomics.
700 1 _aCrossa, José.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
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-SXB
912 _aZDB-2-SOB
999 _c23
_d23