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Now showing items 1-10 of 10

Book Chapter

#### Chapter 1. General introduction

(Springer, 2018)

We describe the main characteristics of two approaches to the linear selection indices theory. The first approach is called standard linear selection indices whereas the second of them is called eigen selection index ...

Book Chapter

#### Chapter 2. The linear phenotypic selection index theory

(Springer, 2018)

The main distinction in the linear phenotypic selection index (LPSI) theory is between the net genetic merit and the LPSI. The net genetic merit is a linear combination of the true unobservable breeding values of the traits ...

Book Chapter

#### Chapter 3. Constrained linear phenotypic selection indices

(Springer, 2018)

The linear phenotypic selection index (LPSI), the null restricted LPSI (RLPSI), and the predetermined proportional gains LPSI (PPG-LPSI) are the main phenotypic selection indices used to predict the net genetic merit and ...

Book Chapter

#### Chapter 7. Linear phenotypic eigen selection index methods

(Springer, 2018)

Based on the canonical correlation, on the singular value decomposition (SVD), and on the linear phenotypic selection indices theory, we describe the eigen selection index method (ESIM), the restricted ESIM (RESIM), and ...

Book Chapter

#### Chapter 8. Linear molecular and genomic eigen selection index methods

(Springer, 2018)

The three main linear phenotypic eigen selection index methods are the eigen selection index method (ESIM), the restricted ESIM (RESIM) and the predetermined proportional gain ESIM (PPG-ESIM). The ESIM is an unrestricted ...

Book Chapter

#### Chapter 9. Multistage linear selection indices

(Springer, 2018)

Multistage linear selection indices select individual traits available at different times or stages and are applied mainly in animals and tree breeding, where the traits under consideration become evident at different ages. ...

Book Chapter

#### Chapter 6. Constrained linear genomic selection indices

(Springer, 2018)

The constrained linear genomic selection indices are null restricted and predetermined proportional gain linear genomic selection indices (RLGSI and PPG-LGSI respectively), which are a linear combination of genomic estimated ...

Book Chapter

#### Chapter 5. Linear genomic selection indices

(Springer, 2018)

The linear genomic selection index (LGSI) is a linear combination of genomic estimated breeding values (GEBVs) used to predict the individual net genetic merit and select individual candidates from a nonphenotyped testing ...

Book Chapter

#### Chapter 11. RIndSel: selection Indices with R

(Springer, 2018)

RIndSel is a graphical unit interface that uses selection index theory to select individual candidates as parents for the next selection cycle. The index can be a linear combination of phenotypic values, genomic estimated ...

Book Chapter

#### Chapter 10. Stochastic simulation of four linear phenotypic selection indices

(Springer, 2018)

Stochastic simulation can contribute to a better understanding of the problem, and has already been successfully applied to evaluate other breeding scenarios. Despite all the theories developed in this book concerning ...