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dc.contributor.author
Hafeez, Muhammad Bilal  
dc.contributor.author
Iqbal, Shahid  
dc.contributor.author
Li, Yuanyuan  
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Saddiq, Muhammad Sohail  
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Basra, Shahzad M. A.  
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Zhang, Hui  
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Zahra, Noreen  
dc.contributor.author
Akram, Muhammad Z.  
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Bertero, Hector Daniel  
dc.contributor.author
Curti, Ramiro Nestor  
dc.date.available
2022-06-23T19:18:35Z  
dc.date.issued
2022-03  
dc.identifier.citation
Hafeez, Muhammad Bilal; Iqbal, Shahid; Li, Yuanyuan; Saddiq, Muhammad Sohail; Basra, Shahzad M. A.; et al.; Assessment of phenotypic diversity in the USDA collection of quinoa links genotypic adaptation to germplasm origin; Multidisciplinary Digital Publishing Institute; Plants; 11; 6; 3-2022; 1-13  
dc.identifier.uri
http://hdl.handle.net/11336/160411  
dc.description.abstract
Quinoa’s germplasm evaluation is the first step towards determining its suitability under new environmental conditions. The aim of this study was to introduce suitable germplasm to the lowland areas of the Faisalabad Plain that could then be used to introduce quinoa more effectively to that region. A set of 117 quinoa genotypes belonging to the USDA quinoa collection was evaluated for 11 phenotypic quantitative traits (grain yield (Y), its biological and numerical components plus phenological variables) in a RCBD during two consecutive growing seasons at the University of Agriculture, Faisalabad, Pakistan under mid-autumn sowings. Genotypic performance changed across the years, however most phenotypic traits showed high heritability, from 0.75 for Harvest Index (HI) to 0.97 for aerial biomass (B) and Y. Ordination and cluster analyses differentiated four Academic Editors: Cataldo Pulvento and Didier Bazile Received: 28 January 2022 Accepted: 3 March 2022 Published: 10 March 2022 Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Copyright: © 2022 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/). groups dominated by genotypes from: Peru and the Bolivian Highlands (G1); the Bolivian Highlands (G2); the Ballón collection (regarded as a cross between Bolivian and Sea Level (Chilean) genotypes) plus Bolivian Highlands (G3); and Ballón plus Sea Level (G4), this latter group being the most differentiated one. This genetic structure shared similarities with previous groups identified using SSR markers and G×Edata from an international quinoa test. G4 genotypes showed the highest Y associated with higher B and seed numbers (SN), while HI made a significant contribution to yield determination in G2 and seed weight (SW) in G3. G1 and G2 showed the lowest Y associated with a lower B and SN. Moreover, SW showed a strongly negative association with SN in G2. Accordingly, G4followed by G3 are better suited to the lowland areas of Faisalabad plain and the physiological traits underlying yield determination among genotypic groups should be considered in future breeding programs.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Multidisciplinary Digital Publishing Institute  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
BREEDING  
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CHENOPODIUM QUINOA WILLD.  
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GENETIC STRUCTURE  
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GERMPLASM  
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HERITABILITY  
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EFFECTS OF GENOTYPE BY ENVIRONMENT INTERACTION  
dc.subject.classification
Agricultura  
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Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Assessment of phenotypic diversity in the USDA collection of quinoa links genotypic adaptation to germplasm origin  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-06-21T18:32:41Z  
dc.identifier.eissn
2223-7747  
dc.journal.volume
11  
dc.journal.number
6  
dc.journal.pagination
1-13  
dc.journal.pais
Suiza  
dc.journal.ciudad
Basilea  
dc.description.fil
Fil: Hafeez, Muhammad Bilal. University Of Agriculture; Pakistán  
dc.description.fil
Fil: Iqbal, Shahid. University Of Agriculture; Pakistán  
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Fil: Li, Yuanyuan. Shandong Normal University. College of Life Science. Shandong Provincial Key Laboratory of Plant Stress Research; China  
dc.description.fil
Fil: Saddiq, Muhammad Sohail. Ghazi University. Department of Agronomy; Pakistán  
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Fil: Basra, Shahzad M. A.. University Of Agriculture; Pakistán  
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Fil: Zhang, Hui. Shandong Normal University. College of Life Science. Shandong Provincial Key Laboratory of Plant Stress Research; China  
dc.description.fil
Fil: Zahra, Noreen. University Of Agriculture; Pakistán  
dc.description.fil
Fil: Akram, Muhammad Z.. University Of Agriculture; Pakistán  
dc.description.fil
Fil: Bertero, Hector Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Producción Vegetal; Argentina  
dc.description.fil
Fil: Curti, Ramiro Nestor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta; Argentina. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Escuela de Agronomía. Laboratorio de Investigaciones Botánicas; Argentina  
dc.journal.title
Plants  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2223-7747/11/6/738  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/plants11060738