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Assessing onion genotypes stability and potential in diverse Indian environments
The current study investigates how genotype by environment interaction (GEI) complicates superior cultivar selection in onion breeding. Employing a randomized block design with three replications, we assessed GEI effects on onion yield and identified adaptable, stable genotypes. The sensitivity of o...
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Published in: | Cogent food & agriculture 2024-12, Vol.10 (1) |
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description | The current study investigates how genotype by environment interaction (GEI) complicates superior cultivar selection in onion breeding. Employing a randomized block design with three replications, we assessed GEI effects on onion yield and identified adaptable, stable genotypes. The sensitivity of onion genotypes to environmental changes significantly influences yield and quality, necessitating adaptability across diverse climatic conditions. We conducted multilocation trials evaluating 28 onion genotypes across four distinct locations, each representing varying environmental factors. Through phylogenetic analysis, genotypes were categorized into four clusters: cluster I (3), cluster II (4), cluster III (15), and cluster IV (6). Rigorous assessment of yield performance, employing additive main effects and multiplicative interaction models, particularly the AMMI model, revealed five genotypes demonstrating remarkable stability and potential across diverse environmental conditions: RO-1626, RO-1623, RO-1639, RO-1625, and RO-1627. Notably, genotypes from cluster II exhibited the highest marketable yield (277.06 q/ha) and total yield (295.66 q/ha), indicating adaptability to varied environmental conditions. These findings hold promise for breeding high-yielding onion varieties resilient to diverse environments, ensuring stability, adaptability, and quality in cultivation. |
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Employing a randomized block design with three replications, we assessed GEI effects on onion yield and identified adaptable, stable genotypes. The sensitivity of onion genotypes to environmental changes significantly influences yield and quality, necessitating adaptability across diverse climatic conditions. We conducted multilocation trials evaluating 28 onion genotypes across four distinct locations, each representing varying environmental factors. Through phylogenetic analysis, genotypes were categorized into four clusters: cluster I (3), cluster II (4), cluster III (15), and cluster IV (6). Rigorous assessment of yield performance, employing additive main effects and multiplicative interaction models, particularly the AMMI model, revealed five genotypes demonstrating remarkable stability and potential across diverse environmental conditions: RO-1626, RO-1623, RO-1639, RO-1625, and RO-1627. Notably, genotypes from cluster II exhibited the highest marketable yield (277.06 q/ha) and total yield (295.66 q/ha), indicating adaptability to varied environmental conditions. These findings hold promise for breeding high-yielding onion varieties resilient to diverse environments, ensuring stability, adaptability, and quality in cultivation.</description><identifier>ISSN: 2331-1932</identifier><identifier>EISSN: 2331-1932</identifier><identifier>DOI: 10.1080/23311932.2024.2360606</identifier><language>eng</language><publisher>London: Cogent</publisher><subject>Adaptability ; Agriculture ; Agriculture & Environmental Sciences ; Agriculture and Food ; Agronomy ; Allium cepa ; AMMI ; Climatic conditions ; Cluster analysis ; Crop yield ; Cultivars ; Environmental changes ; Environmental conditions ; Environmental factors ; GEI ; genotype-environment interaction ; Genotype-environment interactions ; Genotypes ; Horticulture ; Interaction models ; Manuel Tejada, Universidad de Sevilla, Spain ; METs ; Onions ; phylogeny ; Plant breeding ; Sensitivity analysis ; Stability ; stable lines ; Vegetables</subject><ispartof>Cogent food & agriculture, 2024-12, Vol.10 (1)</ispartof><rights>2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2024</rights><rights>2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). 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Employing a randomized block design with three replications, we assessed GEI effects on onion yield and identified adaptable, stable genotypes. The sensitivity of onion genotypes to environmental changes significantly influences yield and quality, necessitating adaptability across diverse climatic conditions. We conducted multilocation trials evaluating 28 onion genotypes across four distinct locations, each representing varying environmental factors. Through phylogenetic analysis, genotypes were categorized into four clusters: cluster I (3), cluster II (4), cluster III (15), and cluster IV (6). Rigorous assessment of yield performance, employing additive main effects and multiplicative interaction models, particularly the AMMI model, revealed five genotypes demonstrating remarkable stability and potential across diverse environmental conditions: RO-1626, RO-1623, RO-1639, RO-1625, and RO-1627. Notably, genotypes from cluster II exhibited the highest marketable yield (277.06 q/ha) and total yield (295.66 q/ha), indicating adaptability to varied environmental conditions. These findings hold promise for breeding high-yielding onion varieties resilient to diverse environments, ensuring stability, adaptability, and quality in cultivation.</description><subject>Adaptability</subject><subject>Agriculture</subject><subject>Agriculture & Environmental Sciences</subject><subject>Agriculture and Food</subject><subject>Agronomy</subject><subject>Allium cepa</subject><subject>AMMI</subject><subject>Climatic conditions</subject><subject>Cluster analysis</subject><subject>Crop yield</subject><subject>Cultivars</subject><subject>Environmental changes</subject><subject>Environmental conditions</subject><subject>Environmental factors</subject><subject>GEI</subject><subject>genotype-environment interaction</subject><subject>Genotype-environment interactions</subject><subject>Genotypes</subject><subject>Horticulture</subject><subject>Interaction models</subject><subject>Manuel Tejada, Universidad de Sevilla, Spain</subject><subject>METs</subject><subject>Onions</subject><subject>phylogeny</subject><subject>Plant breeding</subject><subject>Sensitivity analysis</subject><subject>Stability</subject><subject>stable lines</subject><subject>Vegetables</subject><issn>2331-1932</issn><issn>2331-1932</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kU1rGzEQhpfSQEKanxAQ9NKLXX2udm8NoU0NgfbQnsWsNDIya8mV5BT_-2rjtJQeig4SM8-8M6O3624ZXTM60PdcCMZGwdeccrnmoqftvOqulvhqSbz-633Z3ZSyo5Qyqfte9lfd17tSsJQQtyTFkCLZYkz1dMBCSoUpzKGeCERHDqlirAFmEiJx4QlzQbKJLkAkGJ9CTnHfgPKmu_AwF7x5ua-7758-frv_vHr88rC5v3tcWSl4XSH2bXqnAMZe95NHCnwSgG7iVnptGbceGQVFvdVaqREtYz3TfrCiH60W193mrOsS7Mwhhz3kk0kQzHMg5a2BXIOd0YCkMLGBKT6MUgAfHGhQyg9Cj8I53rTenbUOOf04YqlmH4rFeYaI6ViMYEpyyfVIG_r2H3SXjjm2TRdqUJy372-UOlM2p1Iy-j8DMmoW28xv28xim3mxrdV9ONeF6FPew8-UZ2cqnOaUfYZow9LmvxK_AEitnek</recordid><startdate>20241231</startdate><enddate>20241231</enddate><creator>Gupta, Amar Jeet</creator><creator>Khade, Yogesh P.</creator><creator>Benke, Ashwini P.</creator><creator>Mainkar, Pawan</creator><creator>Gedam, Pranjali A.</creator><creator>Mahajan, Vijay</creator><creator>Singh, Major</creator><general>Cogent</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>0YH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7S9</scope><scope>L.6</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4285-6248</orcidid><orcidid>https://orcid.org/0000-0002-8207-8471</orcidid><orcidid>https://orcid.org/0000-0001-7762-4987</orcidid><orcidid>https://orcid.org/0000-0001-6215-0985</orcidid><orcidid>https://orcid.org/0009-0009-4550-4564</orcidid><orcidid>https://orcid.org/0000-0002-0247-861X</orcidid><orcidid>https://orcid.org/0000-0002-4974-3652</orcidid></search><sort><creationdate>20241231</creationdate><title>Assessing onion genotypes stability and potential in diverse Indian environments</title><author>Gupta, Amar Jeet ; Khade, Yogesh P. ; Benke, Ashwini P. ; Mainkar, Pawan ; Gedam, Pranjali A. ; Mahajan, Vijay ; Singh, Major</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c432t-ee6080d5aa9676bfe0a2b3aedb2c4f7c12cfe10a50fc77559ec11617f8c369c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adaptability</topic><topic>Agriculture</topic><topic>Agriculture & Environmental Sciences</topic><topic>Agriculture and Food</topic><topic>Agronomy</topic><topic>Allium cepa</topic><topic>AMMI</topic><topic>Climatic conditions</topic><topic>Cluster analysis</topic><topic>Crop yield</topic><topic>Cultivars</topic><topic>Environmental changes</topic><topic>Environmental conditions</topic><topic>Environmental factors</topic><topic>GEI</topic><topic>genotype-environment interaction</topic><topic>Genotype-environment interactions</topic><topic>Genotypes</topic><topic>Horticulture</topic><topic>Interaction models</topic><topic>Manuel Tejada, Universidad de Sevilla, Spain</topic><topic>METs</topic><topic>Onions</topic><topic>phylogeny</topic><topic>Plant breeding</topic><topic>Sensitivity analysis</topic><topic>Stability</topic><topic>stable lines</topic><topic>Vegetables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gupta, Amar Jeet</creatorcontrib><creatorcontrib>Khade, Yogesh P.</creatorcontrib><creatorcontrib>Benke, Ashwini P.</creatorcontrib><creatorcontrib>Mainkar, Pawan</creatorcontrib><creatorcontrib>Gedam, Pranjali A.</creatorcontrib><creatorcontrib>Mahajan, Vijay</creatorcontrib><creatorcontrib>Singh, Major</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Cogent food & agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gupta, Amar Jeet</au><au>Khade, Yogesh P.</au><au>Benke, Ashwini P.</au><au>Mainkar, Pawan</au><au>Gedam, Pranjali A.</au><au>Mahajan, Vijay</au><au>Singh, Major</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing onion genotypes stability and potential in diverse Indian environments</atitle><jtitle>Cogent food & agriculture</jtitle><date>2024-12-31</date><risdate>2024</risdate><volume>10</volume><issue>1</issue><issn>2331-1932</issn><eissn>2331-1932</eissn><abstract>The current study investigates how genotype by environment interaction (GEI) complicates superior cultivar selection in onion breeding. Employing a randomized block design with three replications, we assessed GEI effects on onion yield and identified adaptable, stable genotypes. The sensitivity of onion genotypes to environmental changes significantly influences yield and quality, necessitating adaptability across diverse climatic conditions. We conducted multilocation trials evaluating 28 onion genotypes across four distinct locations, each representing varying environmental factors. Through phylogenetic analysis, genotypes were categorized into four clusters: cluster I (3), cluster II (4), cluster III (15), and cluster IV (6). Rigorous assessment of yield performance, employing additive main effects and multiplicative interaction models, particularly the AMMI model, revealed five genotypes demonstrating remarkable stability and potential across diverse environmental conditions: RO-1626, RO-1623, RO-1639, RO-1625, and RO-1627. Notably, genotypes from cluster II exhibited the highest marketable yield (277.06 q/ha) and total yield (295.66 q/ha), indicating adaptability to varied environmental conditions. These findings hold promise for breeding high-yielding onion varieties resilient to diverse environments, ensuring stability, adaptability, and quality in cultivation.</abstract><cop>London</cop><pub>Cogent</pub><doi>10.1080/23311932.2024.2360606</doi><orcidid>https://orcid.org/0000-0003-4285-6248</orcidid><orcidid>https://orcid.org/0000-0002-8207-8471</orcidid><orcidid>https://orcid.org/0000-0001-7762-4987</orcidid><orcidid>https://orcid.org/0000-0001-6215-0985</orcidid><orcidid>https://orcid.org/0009-0009-4550-4564</orcidid><orcidid>https://orcid.org/0000-0002-0247-861X</orcidid><orcidid>https://orcid.org/0000-0002-4974-3652</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptability Agriculture Agriculture & Environmental Sciences Agriculture and Food Agronomy Allium cepa AMMI Climatic conditions Cluster analysis Crop yield Cultivars Environmental changes Environmental conditions Environmental factors GEI genotype-environment interaction Genotype-environment interactions Genotypes Horticulture Interaction models Manuel Tejada, Universidad de Sevilla, Spain METs Onions phylogeny Plant breeding Sensitivity analysis Stability stable lines Vegetables |
title | Assessing onion genotypes stability and potential in diverse Indian environments |
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