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© 2021 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Quinoa is an ancestral crop in the Andean region, characterized by its adaptability to different agroclimatic conditions, great nutritional value, and broad genetic variability. A preliminary approach for understanding the genetics of quinoa materials entails a morphologic characterization, which can provide the basis for the selection of materials that satisfy the needs of farmers and consumers. Therefore, this study aimed to evaluate the phenotypic characteristics of thirty genetic C. quinoa accessions for the selection of outstanding accessions in terms of yield and grain quality. A randomized complete block design was used, with nine replications for each accession under greenhouse conditions. Nine quantitative and twelve qualitative descriptors were evaluated with descriptive analysis, Spearman correlation variance, and multivariate and cluster analysis. The results showed that the accessions with heights greater than the average (>176.72 cm) and long panicles (>57.94 cm) presented lower yields and smaller seed sizes, thus decreasing the grain quality. The multivariate and cluster analyses established groups of accessions with good yields (>62.02 g of seeds per plant) and stable morphological characteristics. The proposed selection index, based on yield components and morphological descriptors, indicated four accessions as potential parents for quinoa breeding programs in Colombia.

Details

Title
Phenotypic Characterization of Quinoa (Chenopodium quinoa Willd.) for the Selection of Promising Materials for Breeding Programs
Author
Manjarres-Hernández, Elsa Helena 1   VIAFID ORCID Logo  ; Arias-Moreno, Diana Marcela 2   VIAFID ORCID Logo  ; Ana Cruz Morillo-Coronado 1 ; Ojeda-Pérez, Zaida Zarely 2   VIAFID ORCID Logo  ; Cárdenas-Chaparro, Agobardo 3 

 Grupo CIDE Competitividad Innovación y Desarrollo empresarial, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia; [email protected] 
 Grupo de Investigación BIOPLASMA, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia; [email protected] (D.M.A.-M.); [email protected] (Z.Z.O.-P.) 
 Grupo de Química—Física Molecular y Modelamiento Computacional QUIMOL, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia; [email protected] 
First page
1339
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
22237747
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2554765110
Copyright
© 2021 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.