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Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan

New cultivars adapted to major durum wheat growing environments are essential for the cultivation of this crop. The development of new cultivars has required the availability of diverse genetic material and their extensive field trials. In this work, a collection of tetraploid wheat consisting of 85...

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Autores principales: Zatybekov, A., Anuarbek, S., Abugalieva, S., Turuspekov, Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716525/
https://www.ncbi.nlm.nih.gov/pubmed/33659846
http://dx.doi.org/10.18699/VJ20.654
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author Zatybekov, A.
Anuarbek, S.
Abugalieva, S.
Turuspekov, Y.
author_facet Zatybekov, A.
Anuarbek, S.
Abugalieva, S.
Turuspekov, Y.
author_sort Zatybekov, A.
collection PubMed
description New cultivars adapted to major durum wheat growing environments are essential for the cultivation of this crop. The development of new cultivars has required the availability of diverse genetic material and their extensive field trials. In this work, a collection of tetraploid wheat consisting of 85 accessions was tested in the field conditions of Almaty region during 2018 and 2019. The accessions were ranged according to nine agronomic traits studied, and accessions with the highest yield performance for Almaty region of Kazakhstan were revealed. The ANOVA suggested that the performance of agronomic traits were influenced both by Environment and Genotype. Also, the collection was analyzed using seven SSR (simple sequence repeats) markers. From 3 to 6 alleles per locus were revealed, with an average of 4.6, while the effective number of alleles was 2.8. Nei’s genetic diversity was in the range of 0.45–0.69. The results showed high values of polymorphism index content (PIC) in the range of 0.46–0.70, with an average of 0.62, suggesting that 6 out of 7 SSRs were highly informative (PIC > 0.5). Phylogenetic analysis of the collection has allowed the separation of accessions into six clusters. The local accessions were presented in all six clusters with the majority of them grouped in the first three clusters designated as A, B, and C, respectively. The relations between SSR markers and agronomic traits in the collection were studied. The results can be efficiently used for the enhancement of local breeding projects for the improvement of yield productivity in durum wheat.
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spelling pubmed-77165252021-03-02 Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan Zatybekov, A. Anuarbek, S. Abugalieva, S. Turuspekov, Y. Vavilovskii Zhurnal Genet Selektsii Original Article New cultivars adapted to major durum wheat growing environments are essential for the cultivation of this crop. The development of new cultivars has required the availability of diverse genetic material and their extensive field trials. In this work, a collection of tetraploid wheat consisting of 85 accessions was tested in the field conditions of Almaty region during 2018 and 2019. The accessions were ranged according to nine agronomic traits studied, and accessions with the highest yield performance for Almaty region of Kazakhstan were revealed. The ANOVA suggested that the performance of agronomic traits were influenced both by Environment and Genotype. Also, the collection was analyzed using seven SSR (simple sequence repeats) markers. From 3 to 6 alleles per locus were revealed, with an average of 4.6, while the effective number of alleles was 2.8. Nei’s genetic diversity was in the range of 0.45–0.69. The results showed high values of polymorphism index content (PIC) in the range of 0.46–0.70, with an average of 0.62, suggesting that 6 out of 7 SSRs were highly informative (PIC > 0.5). Phylogenetic analysis of the collection has allowed the separation of accessions into six clusters. The local accessions were presented in all six clusters with the majority of them grouped in the first three clusters designated as A, B, and C, respectively. The relations between SSR markers and agronomic traits in the collection were studied. The results can be efficiently used for the enhancement of local breeding projects for the improvement of yield productivity in durum wheat. The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences 2020-10 /pmc/articles/PMC7716525/ /pubmed/33659846 http://dx.doi.org/10.18699/VJ20.654 Text en Copyright © AUTHORS http://creativecommons.org/licenses/by/2.5/ This work is licensed under a Creative Commons Attribution 4.0 License
spellingShingle Original Article
Zatybekov, A.
Anuarbek, S.
Abugalieva, S.
Turuspekov, Y.
Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan
title Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan
title_full Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan
title_fullStr Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan
title_full_unstemmed Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan
title_short Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan
title_sort phenotypic and genetic variability of a tetraploid wheat collection grown in kazakhstan
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716525/
https://www.ncbi.nlm.nih.gov/pubmed/33659846
http://dx.doi.org/10.18699/VJ20.654
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AT turuspekovy phenotypicandgeneticvariabilityofatetraploidwheatcollectiongrowninkazakhstan