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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Main Authors: A. Zatybekov, S. Anuarbek, S. Abugalieva, Y. Turuspekov
Format: Article
Language:English
Published: Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2020-10-01
Series:Вавиловский журнал генетики и селекции
Subjects:
Online Access:https://vavilov.elpub.ru/jour/article/view/2776
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author A. Zatybekov
S. Anuarbek
S. Abugalieva
Y. Turuspekov
author_facet A. Zatybekov
S. Anuarbek
S. Abugalieva
Y. Turuspekov
author_sort A. Zatybekov
collection DOAJ
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 doaj.art-76767724b0af4123a533b187385ded7d2024-04-11T15:31:03ZengSiberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and BreedersВавиловский журнал генетики и селекции2500-32592020-10-0124660561210.18699/VJ20.6541088Phenotypic and genetic variability of a tetraploid wheat collection grown in KazakhstanA. Zatybekov0S. Anuarbek1S. Abugalieva2Y. Turuspekov3Institute of Plant Biology and BiotechnologyInstitute of Plant Biology and Biotechnology; Al-Farabi Kazakh National UniversityInstitute of Plant Biology and BiotechnologyInstitute of Plant Biology and Biotechnology; Al-Farabi Kazakh National UniversityNew 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.https://vavilov.elpub.ru/jour/article/view/2776triticum turgidumgenetic diversityssr markersagronomic traits
spellingShingle A. Zatybekov
S. Anuarbek
S. Abugalieva
Y. Turuspekov
Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan
Вавиловский журнал генетики и селекции
triticum turgidum
genetic diversity
ssr markers
agronomic traits
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 triticum turgidum
genetic diversity
ssr markers
agronomic traits
url https://vavilov.elpub.ru/jour/article/view/2776
work_keys_str_mv AT azatybekov phenotypicandgeneticvariabilityofatetraploidwheatcollectiongrowninkazakhstan
AT sanuarbek phenotypicandgeneticvariabilityofatetraploidwheatcollectiongrowninkazakhstan
AT sabugalieva phenotypicandgeneticvariabilityofatetraploidwheatcollectiongrowninkazakhstan
AT yturuspekov phenotypicandgeneticvariabilityofatetraploidwheatcollectiongrowninkazakhstan