Comparing durum wheat cultivars by genotype x yield x trait and genotype x trait biplot method

dc.contributor.author Kendal, Enver
dc.contributor.other 16.02. Department of Seed Production / Tohumculuk Teknolojisi Bölümü
dc.contributor.other 16. School of Vocational Higher School of Kızıltepe/ Kızıltepe Meslek Yüksekokulu
dc.contributor.other 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
dc.date.accessioned 2021-07-05T10:52:36Z
dc.date.available 2021-07-05T10:52:36Z
dc.date.issued 2019
dc.description.abstract The specification of the most convenient cultivars based on multiple trait indices is a new approach in durum wheat (Triticum durum Desf.) adaptation and stability studies. This approach helps to define the best cultivar based on multiple traits and multiple locations because cultivars are affected by unpredictable climatic conditions. Some traits (ears per square meter, spike length, number of grains per spike, spike yield, and leaf chlorophyll content among others) can be produced for primary breeding purposes because they are influenced by environmental factors and indirectly affect grain yield and quality. Therefore, in the present study, the new genotype × yield trait (GYT) biplot approach was used to identify the best cultivar among 10 durum wheat cultivars based on multiple environments (8) and multiple traits (18). Cultivar ranking was examined by a superiority index that combined yield and other target traits with the GYT biplot. The general adaptability of each cultivar in terms of all the traits indicated differences based on environment means, and significant differences were found between varieties for the GYT biplot. In the GYT biplot, yield-trait combinations clearly indicated the most stable cultivars, whereas in the genotype × trait (GT) biplot, the best cultivars were not defined for all traits. ‘Sariçanak’ was ranked as the best combination of physio-morphological traits with grain yield, ‘Zühre’ was the best for more quality traits, and ‘Güneyyildizi’ was the best for both physio-morphological and quality traits in the GYT biplot. The GYT biplot combines traits with yield and can help the visual identification of the best cultivars; it is better than the GT biplot method. en_US
dc.identifier.citation Kendal, Enver. (2019). Comparing durum wheat cultivars by genotype × yield ×trait and genotype × trait biplot method. Chilean journal of agricultural research, 79(4), 512-522. https://dx.doi.org/10.4067/S0718-58392019000400512 en_US
dc.identifier.doi 10.4067/S0718-58392019000400512
dc.identifier.scopus 2-s2.0-85075290406
dc.identifier.uri https://dx.doi.org/10.4067/S0718-58392019000400512
dc.identifier.uri https://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=11&SID=C6BtXWrjaq3DaciuQrK&page=1&doc=1
dc.identifier.uri https://hdl.handle.net/20.500.12514/2645
dc.indekslendigikaynak Web of Science en_US
dc.indekslendigikaynak Scopus en_US
dc.language.iso en en_US
dc.publisher CHILEAN JOURNAL OF AGRICULTURAL RESEARCH en_US
dc.relation.ispartof CHILEAN JOURNAL OF AGRICULTURAL RESEARCH en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Durum; cultivar; multiple; environment; trait; genotype × yield × trait. en_US
dc.title Comparing durum wheat cultivars by genotype x yield x trait and genotype x trait biplot method en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0002-8812-8847
gdc.author.institutional Kendal, Enver
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department MAÜ, Meslek Yüksekokulları, Kızıltepe Meslek Yüksekokulu, Bitkisel ve Hayvansal Üretim Bölümü en_US
gdc.description.endpage 522 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.startpage 512 en_US
gdc.description.volume 79 en_US
gdc.description.wosquality Q3
gdc.identifier.wos WOS:000492756200002
gdc.openalex.fwci 4.263
gdc.scopus.citedcount 64
gdc.wos.citedcount 51
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relation.isAuthorOfPublication.latestForDiscovery 1fd3426d-db3d-45ce-a101-a622abc48afa
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