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Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches

Selection and breeding for high‐yielding in oilseed rape have always been one of the leading objectives for oilseed rape breeders. This process becomes more complicated when all quantitative traits are considered in selection in addition to grain yield. In the present study, 18 oilseed rape genotype...

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Autores principales: Bakhshi, Behnam, Amiri Oghan, Hassan, Rameeh, Valiollah, Zeinalzadeh Tabrizi, Hossein, Askari, Abdolhossein, Faraji, Abolfazl, Ghodrati, Gholamreza, Fanaei, Hamid Reza, Danaei, Amir Khosro, Khatoon Kazerani, Narjes, Payghamzadeh, Kamal, Kiani, Davood, Sadeghi, Hossein, Shariati, Farnaz, Dalili, Alireza, Aghajani Nasab Afrouzi, Mohammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261743/
https://www.ncbi.nlm.nih.gov/pubmed/37324925
http://dx.doi.org/10.1002/fsn3.3290
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author Bakhshi, Behnam
Amiri Oghan, Hassan
Rameeh, Valiollah
Zeinalzadeh Tabrizi, Hossein
Askari, Abdolhossein
Faraji, Abolfazl
Ghodrati, Gholamreza
Fanaei, Hamid Reza
Danaei, Amir Khosro
Khatoon Kazerani, Narjes
Payghamzadeh, Kamal
Kiani, Davood
Sadeghi, Hossein
Shariati, Farnaz
Dalili, Alireza
Aghajani Nasab Afrouzi, Mohammad Ali
author_facet Bakhshi, Behnam
Amiri Oghan, Hassan
Rameeh, Valiollah
Zeinalzadeh Tabrizi, Hossein
Askari, Abdolhossein
Faraji, Abolfazl
Ghodrati, Gholamreza
Fanaei, Hamid Reza
Danaei, Amir Khosro
Khatoon Kazerani, Narjes
Payghamzadeh, Kamal
Kiani, Davood
Sadeghi, Hossein
Shariati, Farnaz
Dalili, Alireza
Aghajani Nasab Afrouzi, Mohammad Ali
author_sort Bakhshi, Behnam
collection PubMed
description Selection and breeding for high‐yielding in oilseed rape have always been one of the leading objectives for oilseed rape breeders. This process becomes more complicated when all quantitative traits are considered in selection in addition to grain yield. In the present study, 18 oilseed rape genotypes along with 2 check cultivars (RGS003 and Dalgan) were evaluated across 16 environments (a combination of 2 years and eight locations) in the tropical climate regions of Iran during 2018–2019 and 2019–2020 cropping seasons. The experiments were conducted in a format of randomized complete block design (RCBD) with three replications. The obtained multienvironmental trial data were utilized to conduct multivariate analysis, genotype by trait (GT) biplot, and genotype by yield*trait (GYT) biplot (Breeding, Genetics and Genomics, 1:2019). The GT and GYT biplot accounted for 55.5% and 93.6% of the total variation in the first two main components. Based on multivariate analysis and GT biplot, pod numbers in plant (PNP) and plant height (PH) were chosen as two key traits in spring oilseed rape genotypes for indirect selection due to high variation, strong positive correlation with grain yield (GY), and their high representatively and discriminability in genotype selection. The mean × stability GT biplot represented G10 (SRL‐96‐17) as the superior genotype. Based on the mean × stability GYT biplot, eight above‐average genotypes were identified that took high scores in stability, high‐yielding, and all evaluated quantitative traits at the same time. Based on the superiority index of GYT data, G10 (SRL‐96‐17) and G5 (SRL‐96‐11) indicated the best yield–trait combinations profile and ranked above check cultivars and then selected as superior genotypes. Similarly, cluster analysis using the WARD method also separated eight superior genotypes. Based on the result of the present study, GT ad GYT methodologies are recommended for trait profiling and genotype selection in oilseed rape breeding projects, respectively.
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spelling pubmed-102617432023-06-15 Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches Bakhshi, Behnam Amiri Oghan, Hassan Rameeh, Valiollah Zeinalzadeh Tabrizi, Hossein Askari, Abdolhossein Faraji, Abolfazl Ghodrati, Gholamreza Fanaei, Hamid Reza Danaei, Amir Khosro Khatoon Kazerani, Narjes Payghamzadeh, Kamal Kiani, Davood Sadeghi, Hossein Shariati, Farnaz Dalili, Alireza Aghajani Nasab Afrouzi, Mohammad Ali Food Sci Nutr Original Articles Selection and breeding for high‐yielding in oilseed rape have always been one of the leading objectives for oilseed rape breeders. This process becomes more complicated when all quantitative traits are considered in selection in addition to grain yield. In the present study, 18 oilseed rape genotypes along with 2 check cultivars (RGS003 and Dalgan) were evaluated across 16 environments (a combination of 2 years and eight locations) in the tropical climate regions of Iran during 2018–2019 and 2019–2020 cropping seasons. The experiments were conducted in a format of randomized complete block design (RCBD) with three replications. The obtained multienvironmental trial data were utilized to conduct multivariate analysis, genotype by trait (GT) biplot, and genotype by yield*trait (GYT) biplot (Breeding, Genetics and Genomics, 1:2019). The GT and GYT biplot accounted for 55.5% and 93.6% of the total variation in the first two main components. Based on multivariate analysis and GT biplot, pod numbers in plant (PNP) and plant height (PH) were chosen as two key traits in spring oilseed rape genotypes for indirect selection due to high variation, strong positive correlation with grain yield (GY), and their high representatively and discriminability in genotype selection. The mean × stability GT biplot represented G10 (SRL‐96‐17) as the superior genotype. Based on the mean × stability GYT biplot, eight above‐average genotypes were identified that took high scores in stability, high‐yielding, and all evaluated quantitative traits at the same time. Based on the superiority index of GYT data, G10 (SRL‐96‐17) and G5 (SRL‐96‐11) indicated the best yield–trait combinations profile and ranked above check cultivars and then selected as superior genotypes. Similarly, cluster analysis using the WARD method also separated eight superior genotypes. Based on the result of the present study, GT ad GYT methodologies are recommended for trait profiling and genotype selection in oilseed rape breeding projects, respectively. John Wiley and Sons Inc. 2023-02-28 /pmc/articles/PMC10261743/ /pubmed/37324925 http://dx.doi.org/10.1002/fsn3.3290 Text en © 2023 The Authors. Food Science & Nutrition published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Bakhshi, Behnam
Amiri Oghan, Hassan
Rameeh, Valiollah
Zeinalzadeh Tabrizi, Hossein
Askari, Abdolhossein
Faraji, Abolfazl
Ghodrati, Gholamreza
Fanaei, Hamid Reza
Danaei, Amir Khosro
Khatoon Kazerani, Narjes
Payghamzadeh, Kamal
Kiani, Davood
Sadeghi, Hossein
Shariati, Farnaz
Dalili, Alireza
Aghajani Nasab Afrouzi, Mohammad Ali
Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches
title Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches
title_full Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches
title_fullStr Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches
title_full_unstemmed Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches
title_short Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches
title_sort trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261743/
https://www.ncbi.nlm.nih.gov/pubmed/37324925
http://dx.doi.org/10.1002/fsn3.3290
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