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008			220118s2022 sz | s |||| 0|eng d
020			_a9783030839406
024	7		_a10.1007/978-3-030-83940-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH430 _b2022 EB
100	1		_aXu, Shizhong _eautor _984261 _c(Geneticist)
245	1	0	_aQuantitative Genetics _cby Shizhong Xu
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (XVII, 414 páginas) _b1 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
505	0		_aPreface -- About the Author -- 1 Introduction to Quantitative Genetics -- 2 Review of Mendelian Genetics -- 3 Basic Concept of Population Genetics -- 4 Review of Elementary Statistics -- 5 Genetic Effects of Quantitative Traits -- 6 Genetic Variances of Quantitative Traits 7 Environmental Effects and Environmental Errors -- 8 Major Gene Detection and Segregation Analysis -- 9 Resemblance Between Relatives -- 10 Estimation of Heritability -- 11 Identity-by-Descent and Coancestry Coefficient -- 12 Mixed Model Analysis of Genetic Variances -- 13 Multiple Traits and Genetic Correlation Between Traits -- 14 Concept and Theory of Selection -- 15 Methods of Artificial Selection -- 16 Selection Index and Best Linear Unbiased Prediction -- 17 Methods of Multiple Trait Selection -- 18 Mapping Quantitative Trait Loci -- 19 Genome-wide Association Studies -- 20 Genomic Selection -- Index.
520			_aThe intended audience of this textbook are plant and animal breeders, upper-level undergraduate and graduate students in biological and agricultural science majors. Statisticians who are interested in understanding how statistical methods are applied to genetics and agriculture can benefit substantially by reading this book. One characteristic of this textbook is represented by three chapters of technical reviews for Mendelian genetics, population genetics and preliminary statistics, which are prerequisites for studying quantitative genetics. Numerous examples are provided to illustrate different methods of data analysis and estimation of genetic parameters. Along with each example of data analyses is the program code of SAS (statistical analysis system).
988			_aSpringer_Computer_2022
650		7	_2embne _aGenética _9138044
650		7	_2embne _9185585 _aInvestigación _xMetodología
773	0		_tSpringer Nature eBook
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-83940-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _eu _zSI