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003			ESmaUEC
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040			_aES-MaUEC _bspa _cES-MaUEC
336			_aTexto _btxt _2rdacontent
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729 _9106996
999			_c100761 _d100761 _x1
001			100761
005			20230102113010.0
008			180926s2018 gw | s |||| 0|eng d
020			_a9783319912233
024	7		_a10.1007/978-3-319-91223-3 _2doi
050		4	_aQH323.5 2018 EB
100	1		_aCéron-Rojas, J. Jesus _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aLinear Selection Indices in Modern Plant Breeding _cby J. Jesus Céron-Rojas, José Crossa.
264		1	_aCham, Switzerland _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XXII, 256 páginas 45 ilustraciones a color)
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aBiomedical and Life Sciences (Springer-11642)
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	3		_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		7	_aBiometría _9139105 _2embne
650		7	_aPlantas _xMejora genética _2embne _9667619
700	1		_aCrossa, José _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iEdición impresa: _z9783319912226
776	0	8	_iEdición impresa: _z9783319912240
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-91223-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _b02/2019 _cm _dz _ea _feng _ggw _h0