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020 _a9783030839406
_9978-3-030-83940-6
024 7 _a10.1007/978-3-030-83940-6
_2doi
050 4 _aQH324.2-324.25
072 7 _aUY
_2bicssc
072 7 _aPS
_2bicssc
072 7 _aCOM082000
_2bisacsh
072 7 _aPSAX
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082 0 4 _a570.285
_223
100 1 _aXu, Shizhong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aQuantitative Genetics
_h[electronic resource] /
_cby Shizhong Xu.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXVII, 414 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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).
650 0 _aBioinformatics.
650 0 _aPlant genetics.
650 0 _aMedical genetics.
650 0 _aLife sciences.
650 0 _aAgricultural genome mapping.
650 1 4 _aBioinformatics.
650 2 4 _aComputational and Systems Biology.
650 2 4 _aPlant Genetics.
650 2 4 _aMedical Genetics.
650 2 4 _aLife Sciences.
650 2 4 _aAgricultural Genetics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030839390
776 0 8 _iPrinted edition:
_z9783030839413
776 0 8 _iPrinted edition:
_z9783030839420
856 4 0 _uhttps://doi.org/10.1007/978-3-030-83940-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178857
_d178857