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The Development of Thematic Core Collections in Cassava Based on Yield, Disease Resistance, and Root Quality Traits
Thematic collections (TCs), which are composed of genotypes with superior agronomic traits and reduced size, offer valuable opportunities for parental selection in plant breeding programs. Three TCs were created to focus on crucial attributes: root yield (CC_Yield), pest and disease resistance (CC_D...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574880/ https://www.ncbi.nlm.nih.gov/pubmed/37836214 http://dx.doi.org/10.3390/plants12193474 |
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author | dos Santos, Caroline Cardoso de Andrade, Luciano Rogerio Braatz do Carmo, Cátia Dias de Oliveira, Eder Jorge |
author_facet | dos Santos, Caroline Cardoso de Andrade, Luciano Rogerio Braatz do Carmo, Cátia Dias de Oliveira, Eder Jorge |
author_sort | dos Santos, Caroline Cardoso |
collection | PubMed |
description | Thematic collections (TCs), which are composed of genotypes with superior agronomic traits and reduced size, offer valuable opportunities for parental selection in plant breeding programs. Three TCs were created to focus on crucial attributes: root yield (CC_Yield), pest and disease resistance (CC_Disease), and root quality traits (CC_Root_quality). The genotypes were ranked using the best linear unbiased predictors (BLUP) method, and a truncated selection was implemented for each collection based on specific traits. The TCs exhibited minimal overlap, with each collection comprising 72 genotypes (CC_Disease), 63 genotypes (CC_Root_quality), and 64 genotypes (CC_Yield), representing 4%, 3.5%, and 3.5% of the total individuals in the entire collection, respectively. The Shannon–Weaver Diversity Index values generally varied but remained below 10% when compared to the entire collection. Most TCs exhibited observed heterozygosity, genetic diversity, and the inbreeding coefficient that closely resembled those of the entire collection, effectively retaining 90.76%, 88.10%, and 88.99% of the alleles present in the entire collection (CC_Disease, CC_Root_quality, and CC_Disease, respectively). A PCA of molecular and agro-morphological data revealed well-distributed and dispersed genotypes, while a discriminant analysis of principal components (DAPC) displayed a high discrimination capacity among the accessions within each collection. The strategies employed in this study hold significant potential for advancing crop improvement efforts. |
format | Online Article Text |
id | pubmed-10574880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105748802023-10-14 The Development of Thematic Core Collections in Cassava Based on Yield, Disease Resistance, and Root Quality Traits dos Santos, Caroline Cardoso de Andrade, Luciano Rogerio Braatz do Carmo, Cátia Dias de Oliveira, Eder Jorge Plants (Basel) Article Thematic collections (TCs), which are composed of genotypes with superior agronomic traits and reduced size, offer valuable opportunities for parental selection in plant breeding programs. Three TCs were created to focus on crucial attributes: root yield (CC_Yield), pest and disease resistance (CC_Disease), and root quality traits (CC_Root_quality). The genotypes were ranked using the best linear unbiased predictors (BLUP) method, and a truncated selection was implemented for each collection based on specific traits. The TCs exhibited minimal overlap, with each collection comprising 72 genotypes (CC_Disease), 63 genotypes (CC_Root_quality), and 64 genotypes (CC_Yield), representing 4%, 3.5%, and 3.5% of the total individuals in the entire collection, respectively. The Shannon–Weaver Diversity Index values generally varied but remained below 10% when compared to the entire collection. Most TCs exhibited observed heterozygosity, genetic diversity, and the inbreeding coefficient that closely resembled those of the entire collection, effectively retaining 90.76%, 88.10%, and 88.99% of the alleles present in the entire collection (CC_Disease, CC_Root_quality, and CC_Disease, respectively). A PCA of molecular and agro-morphological data revealed well-distributed and dispersed genotypes, while a discriminant analysis of principal components (DAPC) displayed a high discrimination capacity among the accessions within each collection. The strategies employed in this study hold significant potential for advancing crop improvement efforts. MDPI 2023-10-04 /pmc/articles/PMC10574880/ /pubmed/37836214 http://dx.doi.org/10.3390/plants12193474 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article dos Santos, Caroline Cardoso de Andrade, Luciano Rogerio Braatz do Carmo, Cátia Dias de Oliveira, Eder Jorge The Development of Thematic Core Collections in Cassava Based on Yield, Disease Resistance, and Root Quality Traits |
title | The Development of Thematic Core Collections in Cassava Based on Yield, Disease Resistance, and Root Quality Traits |
title_full | The Development of Thematic Core Collections in Cassava Based on Yield, Disease Resistance, and Root Quality Traits |
title_fullStr | The Development of Thematic Core Collections in Cassava Based on Yield, Disease Resistance, and Root Quality Traits |
title_full_unstemmed | The Development of Thematic Core Collections in Cassava Based on Yield, Disease Resistance, and Root Quality Traits |
title_short | The Development of Thematic Core Collections in Cassava Based on Yield, Disease Resistance, and Root Quality Traits |
title_sort | development of thematic core collections in cassava based on yield, disease resistance, and root quality traits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10574880/ https://www.ncbi.nlm.nih.gov/pubmed/37836214 http://dx.doi.org/10.3390/plants12193474 |
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