Chapter 3. Constrained linear phenotypic selection indices

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 select parents for the next selection cycle. The LPSI is an unrestricted index, whereas the RLPSI and the PPG-LPSI allow restrictions equal to zero and predetermined proportional gain restrictions respectively to be imposed on the expected genetic gain values of the trait to make some traits change their mean values based on a predetermined level while the rest of the trait means remain without restrictions. One additional restricted index is the desired gains LPSI (DG-LPSI), which does not require economic weights and, in a similar manner to the PPG-LPSI, allows restrictions to be imposed on the expected genetic gain values of the trait to make some traits change their mean values based on a predetermined level. The aims of RLPSI and PPG-LPSI are to maximize the selection response, the expected genetic gains per trait, and provide the breeder with an objective rule for evaluating and selecting parents for the next selection cycle based on several traits. This chapter describes the theory and practice of the RLPSI, PPG-LPSI, and DG-LPSI. We show that the PPG-LPSI is the most general index and includes the LPSI and the RLPSI as particular cases. Finally, we describe the DG-LPSI as a modification of the PPG-LPSI. We illustrate the theoretical results of all the indices using real and simulated data.

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Main Authors: Ceron Rojas, J.J., Crossa, J.
Format: Book Chapter biblioteca
Language:English
Published: Springer 2018
Subjects:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, LINEAR MODELS, GENETIC GAIN, SELECTION CRITERIA,
Online Access:https://hdl.handle.net/10883/19802
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spelling dig-cimmyt-10883-198022021-03-31T14:27:09Z Chapter 3. Constrained linear phenotypic selection indices Ceron Rojas, J.J. Crossa, J. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY LINEAR MODELS GENETIC GAIN SELECTION CRITERIA 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 select parents for the next selection cycle. The LPSI is an unrestricted index, whereas the RLPSI and the PPG-LPSI allow restrictions equal to zero and predetermined proportional gain restrictions respectively to be imposed on the expected genetic gain values of the trait to make some traits change their mean values based on a predetermined level while the rest of the trait means remain without restrictions. One additional restricted index is the desired gains LPSI (DG-LPSI), which does not require economic weights and, in a similar manner to the PPG-LPSI, allows restrictions to be imposed on the expected genetic gain values of the trait to make some traits change their mean values based on a predetermined level. The aims of RLPSI and PPG-LPSI are to maximize the selection response, the expected genetic gains per trait, and provide the breeder with an objective rule for evaluating and selecting parents for the next selection cycle based on several traits. This chapter describes the theory and practice of the RLPSI, PPG-LPSI, and DG-LPSI. We show that the PPG-LPSI is the most general index and includes the LPSI and the RLPSI as particular cases. Finally, we describe the DG-LPSI as a modification of the PPG-LPSI. We illustrate the theoretical results of all the indices using real and simulated data. 43-69 2019-01-17T23:30:40Z 2019-01-17T23:30:40Z 2018 Book Chapter 978-3-319-91222-6 (Print) 978-3-319-91223-3 (Online) https://hdl.handle.net/10883/19802 10.1007/978-3-319-91223-3_3 English CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. Open Access PDF Switzerland Springer Linear selection indices in modern plant breeding
institution CIMMYT
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country México
countrycode MX
component Bibliográfico
access En linea
databasecode dig-cimmyt
tag biblioteca
region America del Norte
libraryname CIMMYT Library
language English
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
LINEAR MODELS
GENETIC GAIN
SELECTION CRITERIA
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
LINEAR MODELS
GENETIC GAIN
SELECTION CRITERIA
spellingShingle AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
LINEAR MODELS
GENETIC GAIN
SELECTION CRITERIA
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
LINEAR MODELS
GENETIC GAIN
SELECTION CRITERIA
Ceron Rojas, J.J.
Crossa, J.
Chapter 3. Constrained linear phenotypic selection indices
description 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 select parents for the next selection cycle. The LPSI is an unrestricted index, whereas the RLPSI and the PPG-LPSI allow restrictions equal to zero and predetermined proportional gain restrictions respectively to be imposed on the expected genetic gain values of the trait to make some traits change their mean values based on a predetermined level while the rest of the trait means remain without restrictions. One additional restricted index is the desired gains LPSI (DG-LPSI), which does not require economic weights and, in a similar manner to the PPG-LPSI, allows restrictions to be imposed on the expected genetic gain values of the trait to make some traits change their mean values based on a predetermined level. The aims of RLPSI and PPG-LPSI are to maximize the selection response, the expected genetic gains per trait, and provide the breeder with an objective rule for evaluating and selecting parents for the next selection cycle based on several traits. This chapter describes the theory and practice of the RLPSI, PPG-LPSI, and DG-LPSI. We show that the PPG-LPSI is the most general index and includes the LPSI and the RLPSI as particular cases. Finally, we describe the DG-LPSI as a modification of the PPG-LPSI. We illustrate the theoretical results of all the indices using real and simulated data.
format Book Chapter
topic_facet AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
LINEAR MODELS
GENETIC GAIN
SELECTION CRITERIA
author Ceron Rojas, J.J.
Crossa, J.
author_facet Ceron Rojas, J.J.
Crossa, J.
author_sort Ceron Rojas, J.J.
title Chapter 3. Constrained linear phenotypic selection indices
title_short Chapter 3. Constrained linear phenotypic selection indices
title_full Chapter 3. Constrained linear phenotypic selection indices
title_fullStr Chapter 3. Constrained linear phenotypic selection indices
title_full_unstemmed Chapter 3. Constrained linear phenotypic selection indices
title_sort chapter 3. constrained linear phenotypic selection indices
publisher Springer
publishDate 2018
url https://hdl.handle.net/10883/19802
work_keys_str_mv AT ceronrojasjj chapter3constrainedlinearphenotypicselectionindices
AT crossaj chapter3constrainedlinearphenotypicselectionindices
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