A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families
BACKGROUND: Selection is one of the essential skills whereby breeders reduce the population size and increase the chance of success. Various selection methods with special applications have been developed. Superior genotypes are assessed according to interesting traits, including univariate, multiva...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012525/ https://www.ncbi.nlm.nih.gov/pubmed/36915142 http://dx.doi.org/10.1186/s13007-023-00992-5 |
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author | Eynizadeh, Peyman Dehghani, Hamid Dehghani, Ali |
author_facet | Eynizadeh, Peyman Dehghani, Hamid Dehghani, Ali |
author_sort | Eynizadeh, Peyman |
collection | PubMed |
description | BACKGROUND: Selection is one of the essential skills whereby breeders reduce the population size and increase the chance of success. Various selection methods with special applications have been developed. Superior genotypes are assessed according to interesting traits, including univariate, multivariate, phenotypic, genotypic, etc. METHODS: Mathematical calculation of the traits' importance based on the genetic makeup of investigated population (average degree of dominance/additive involved in the action of genes) and arbitrary genetic parameters is functional. In this paper, a general model for multivariate selection has been presented whereby the selection can be made for (a) more than one interesting trait, (b) the trait(s) with complex inheritance, (c) finding superior genotypes from among a large-scale population, (d) finding superior genotypes in segregating generations and (f) finding tolerant genotypes to stresses. This model is developed based on biometric concepts in four steps. MATLAB script is provided for the model, and users can easily apply that to identify the most suitable genotypes after data collection according to the breeding purposes. RESULTS: The main features of this model are simplicity, precision, repeatability, and speed (improving several traits simultaneously). All the steps and the analysis of the results are explained step by step in a case study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-023-00992-5. |
format | Online Article Text |
id | pubmed-10012525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100125252023-03-15 A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families Eynizadeh, Peyman Dehghani, Hamid Dehghani, Ali Plant Methods Methodology BACKGROUND: Selection is one of the essential skills whereby breeders reduce the population size and increase the chance of success. Various selection methods with special applications have been developed. Superior genotypes are assessed according to interesting traits, including univariate, multivariate, phenotypic, genotypic, etc. METHODS: Mathematical calculation of the traits' importance based on the genetic makeup of investigated population (average degree of dominance/additive involved in the action of genes) and arbitrary genetic parameters is functional. In this paper, a general model for multivariate selection has been presented whereby the selection can be made for (a) more than one interesting trait, (b) the trait(s) with complex inheritance, (c) finding superior genotypes from among a large-scale population, (d) finding superior genotypes in segregating generations and (f) finding tolerant genotypes to stresses. This model is developed based on biometric concepts in four steps. MATLAB script is provided for the model, and users can easily apply that to identify the most suitable genotypes after data collection according to the breeding purposes. RESULTS: The main features of this model are simplicity, precision, repeatability, and speed (improving several traits simultaneously). All the steps and the analysis of the results are explained step by step in a case study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-023-00992-5. BioMed Central 2023-03-13 /pmc/articles/PMC10012525/ /pubmed/36915142 http://dx.doi.org/10.1186/s13007-023-00992-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Eynizadeh, Peyman Dehghani, Hamid Dehghani, Ali A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families |
title | A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families |
title_full | A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families |
title_fullStr | A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families |
title_full_unstemmed | A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families |
title_short | A novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families |
title_sort | novel selection model based on multivariate methods and arbitrary genetic parameters: a case study on tomato families |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012525/ https://www.ncbi.nlm.nih.gov/pubmed/36915142 http://dx.doi.org/10.1186/s13007-023-00992-5 |
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