國立虎尾科技大學 |

Quantitative Genetics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Quantitative Genetics/ by Shizhong Xu.
作者:	Xu, Shizhong.
面頁冊數:	XVII, 414 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Agricultural Genetics. -
電子資源:	https://doi.org/10.1007/978-3-030-83940-6
ISBN:	9783030839406

Quantitative Genetics
Xu, Shizhong.

Quantitative Genetics[electronic resource] /by Shizhong Xu. - 1st ed. 2022. - XVII, 414 p. 1 illus.online resource.

Preface -- 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.

The 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).

ISBN: 9783030839406

Standard No.: 10.1007/978-3-030-83940-6doiSubjects--Topical Terms:

1387634
Agricultural Genetics.

LC Class. No.: QH324.2-324.25

Dewey Class. No.: 570.285

Quantitative Genetics
LDR:02973nam a22004095i 4500 001 1092942
003 DE-He213
005 20220118234011.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030839406 $9 978-3-030-83940-6
024 7 $a 10.1007/978-3-030-83940-6 $2 doi
035 $a 978-3-030-83940-6
050 4 $a QH324.2-324.25
072 7 $a UY $2 bicssc
072 7 $a PS $2 bicssc
072 7 $a SCI086000 $2 bisacsh
072 7 $a PSAX $2 thema
082 0 4 $a 570.285 $2 23
100 1 $a Xu, Shizhong. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1071623
245 1 0 $a Quantitative Genetics $h [electronic resource] / $c by Shizhong Xu.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XVII, 414 p. 1 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Preface -- 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 $a The 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 2 4 $a Agricultural Genetics. $3 1387634
650 2 4 $a Life Sciences. $3 593888
650 2 4 $a Medical Genetics. $3 1366169
650 2 4 $a Plant Genetics. $3 1366467
650 2 4 $a Computational and Systems Biology. $3 1365723
650 0 $a Agricultural genome mapping. $3 1387632
650 0 $a Life sciences. $3 815602
650 0 $a Medical genetics. $3 678508
650 0 $a Plant genetics. $3 743629
650 0 $a Bioinformatics. $3 583857
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030839390
776 0 8 $i Printed edition: $z 9783030839413
776 0 8 $i Printed edition: $z 9783030839420
856 4 0 $u https://doi.org/10.1007/978-3-030-83940-6
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)