000			03929cam a2200469Ii 4500
988			_aEbook_one2one
999			_c96516 _d96516 _x1
001			96516
003			ES-MaUEC
005			20240611040152.0
006			m o d
007			cr bn|||||||||
008			170913s2017 sz a ob 001 0 eng d
020			_a3319551779 _q(electronic bk.)
020			_a9783319551777 _q(electronic bk.)
020			_z3319551752 _q(print)
020			_z9783319551753 _q(print)
040			_aYDX _beng _erda _cYDX _dN$T _dEBLCP _dGW5XE _dN$T _dOCLCF _dNJR _dEMU _dYDX _dAZU _dUPM _dOCL _dMERER _dSTF _dNHM _dIOG _dCOO _dOCLCO _dOCLCQ _dJG0 _dOCLCO _dOCLCA _dES-MaUEC _bspa
050		4	_aQH430 _b2017 EB
100	1		_aIsik, Fikret, _eautor
245	1	0	_aGenetic data analysis for plant and animal breeding _cFikret Isik, James Holland, Christian Maltecca.
264		1	_aCham, Switzerland _bSpringer International Publishing Nature _c2017
300			_a1 recurso en línea (xvii, 400 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
500			_a"Plant and animal illustrations: Professor Hüsnü Dokak"--Page x.
500			_a"Software Requirements"--Page xi.
500			_a
504			_aIncluye referencias bibliográficas (páginas 389-393) e índice
505	0		_aIntroduction to ASReml Software -- A Review of Linear Mixed Models -- Variance Modeling in ASReml -- Breeding Values -- Genetic Values -- Multivariate Models -- Spatial Analysis -- Multi Environmental Trials -- Exploratory Marker Data Analysis -- Imputing Missing Genotypes -- Genomic Relationships and GBLUP -- Genomic Selection.
520	3		_a"This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses."--Provided by publisher.
588	0		_aOnline resource; title from digital title page (ProQuest Ebook Central, viewed November 13, 2017).
988			_aEBOOK, EBSPRINGER_2017
650		7	_2embne _aGenética _9138044
650		7	_2embne _aBiología _9138150
700	1		_aDokak, Hüsnü, _eillustrator.
700	1		_aHolland, J. B. _q(James Brendan), _d1967- _eautor
700	1		_aMaltecca, Christian, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-55177-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI