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Assessment of Phenotypic Diversity in the USDA Collection of Quinoa Links Genotypic Adaptation to Germplasm Origin
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 reg...
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Published in: | Plants (Basel) 2022-03, Vol.11 (6), p.738 |
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creator | Hafeez, Muhammad Bilal Iqbal, Shahid Li, Yuanyuan Saddiq, Muhammad Sohail Basra, Shahzad M A Zhang, Hui Zahra, Noreen Akram, Muhammad Z Bertero, Daniel Curti, Ramiro N |
description | 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 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×E data 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, G4 followed 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. |
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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 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×E data 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, G4 followed 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.</description><identifier>ISSN: 2223-7747</identifier><identifier>EISSN: 2223-7747</identifier><identifier>DOI: 10.3390/plants11060738</identifier><identifier>PMID: 35336620</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Agricultural production ; Agriculture ; breeding ; Chenopodium quinoa Willd ; Crop yield ; effects of genotype by environment interaction ; Environmental conditions ; Genetic structure ; Genotype & phenotype ; Genotypes ; Germplasm ; Growing season ; Harvest ; Heritability ; Highlands ; Ordination ; Performance evaluation ; Physiology ; Potassium ; Quinoa ; Sea level ; Seeds</subject><ispartof>Plants (Basel), 2022-03, Vol.11 (6), p.738</ispartof><rights>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/). 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Ordination and cluster analyses differentiated four 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×E data 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. 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Iqbal, Shahid ; Li, Yuanyuan ; Saddiq, Muhammad Sohail ; Basra, Shahzad M A ; Zhang, Hui ; Zahra, Noreen ; Akram, Muhammad Z ; Bertero, Daniel ; Curti, Ramiro N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-7a70bd0d5e66bdd999c6fc77d640dc9f0c72809c0d98aecb27a90d26c4858ca53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agricultural production</topic><topic>Agriculture</topic><topic>breeding</topic><topic>Chenopodium quinoa Willd</topic><topic>Crop yield</topic><topic>effects of genotype by environment interaction</topic><topic>Environmental conditions</topic><topic>Genetic structure</topic><topic>Genotype & phenotype</topic><topic>Genotypes</topic><topic>Germplasm</topic><topic>Growing season</topic><topic>Harvest</topic><topic>Heritability</topic><topic>Highlands</topic><topic>Ordination</topic><topic>Performance evaluation</topic><topic>Physiology</topic><topic>Potassium</topic><topic>Quinoa</topic><topic>Sea level</topic><topic>Seeds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hafeez, Muhammad Bilal</creatorcontrib><creatorcontrib>Iqbal, Shahid</creatorcontrib><creatorcontrib>Li, Yuanyuan</creatorcontrib><creatorcontrib>Saddiq, Muhammad Sohail</creatorcontrib><creatorcontrib>Basra, Shahzad M A</creatorcontrib><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>Zahra, Noreen</creatorcontrib><creatorcontrib>Akram, Muhammad Z</creatorcontrib><creatorcontrib>Bertero, Daniel</creatorcontrib><creatorcontrib>Curti, Ramiro N</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Plants (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hafeez, Muhammad Bilal</au><au>Iqbal, Shahid</au><au>Li, Yuanyuan</au><au>Saddiq, Muhammad Sohail</au><au>Basra, Shahzad M A</au><au>Zhang, Hui</au><au>Zahra, Noreen</au><au>Akram, Muhammad Z</au><au>Bertero, Daniel</au><au>Curti, Ramiro N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of Phenotypic Diversity in the USDA Collection of Quinoa Links Genotypic Adaptation to Germplasm Origin</atitle><jtitle>Plants (Basel)</jtitle><addtitle>Plants (Basel)</addtitle><date>2022-03-10</date><risdate>2022</risdate><volume>11</volume><issue>6</issue><spage>738</spage><pages>738-</pages><issn>2223-7747</issn><eissn>2223-7747</eissn><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 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×E data 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. 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subjects | Agricultural production Agriculture breeding Chenopodium quinoa Willd Crop yield effects of genotype by environment interaction Environmental conditions Genetic structure Genotype & phenotype Genotypes Germplasm Growing season Harvest Heritability Highlands Ordination Performance evaluation Physiology Potassium Quinoa Sea level Seeds |
title | Assessment of Phenotypic Diversity in the USDA Collection of Quinoa Links Genotypic Adaptation to Germplasm Origin |
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