Cargando…

Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya

Bread wheat (Triticum aestivum L.) cultivars adapted to specific environments and resistant to prevalent pathogens are preferred for obtaining high yield. This study aimed to identify wheat genotypes with superior grain yield (GY) and yield associated traits from 168 genotypes of International Maize...

Descripción completa

Detalles Bibliográficos
Autores principales: Msundi, Elizabeth Akinyi, Owuoche, James Otieno, Oyoo, Maurice Edwards, Macharia, Godwin, Singh, Ravi Prakash, Randhawa, Mandeep Singh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560913/
https://www.ncbi.nlm.nih.gov/pubmed/34725387
http://dx.doi.org/10.1038/s41598-021-00785-7
_version_ 1784593021548888064
author Msundi, Elizabeth Akinyi
Owuoche, James Otieno
Oyoo, Maurice Edwards
Macharia, Godwin
Singh, Ravi Prakash
Randhawa, Mandeep Singh
author_facet Msundi, Elizabeth Akinyi
Owuoche, James Otieno
Oyoo, Maurice Edwards
Macharia, Godwin
Singh, Ravi Prakash
Randhawa, Mandeep Singh
author_sort Msundi, Elizabeth Akinyi
collection PubMed
description Bread wheat (Triticum aestivum L.) cultivars adapted to specific environments and resistant to prevalent pathogens are preferred for obtaining high yield. This study aimed to identify wheat genotypes with superior grain yield (GY) and yield associated traits from 168 genotypes of International Maize and Wheat Improvement Center’s 13th Stem Rust Resistance Screening Nursery evaluated over two seasons during 2019 and 2020 under high disease pressure of both stem rust (SR) and yellow rust (YR) in a 21 × 8 α-lattice design with 3 replications in Kenya. Effects due to seasons were significant for YR(Aud), SR(Aud), 1000-kernel weight (TKW), days to heading (DH), plant height (PH) and number of spikelets spike(−1) (SS), while genotypes and genotypes × season interaction effects were significant for all traits except number of kernels spike(−1). Respectively, heritability values of 0.95, 0.93, 0.87, 0.86, 0.77 and 0.75 were observed for area under disease progress curve for SR (SR(Aud)), YR (YR(Aud)), TKW, DH, biomass (BM) and GY. Path analysis showed positive direct effects on GY via PH, SS, BM, and TKW. Biplot analysis identified 16 genotypes with superior desirable traits GY, BM and harvest index. The SR contributed the highest reduction in GY and TKW while YR contributed the most reduction in BM. These identified genotypes with superior GY combined with adequate resistance to both SR and YR are potentially valuable resources for improvement of locally adapted wheat cultivars.
format Online
Article
Text
id pubmed-8560913
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-85609132021-11-03 Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya Msundi, Elizabeth Akinyi Owuoche, James Otieno Oyoo, Maurice Edwards Macharia, Godwin Singh, Ravi Prakash Randhawa, Mandeep Singh Sci Rep Article Bread wheat (Triticum aestivum L.) cultivars adapted to specific environments and resistant to prevalent pathogens are preferred for obtaining high yield. This study aimed to identify wheat genotypes with superior grain yield (GY) and yield associated traits from 168 genotypes of International Maize and Wheat Improvement Center’s 13th Stem Rust Resistance Screening Nursery evaluated over two seasons during 2019 and 2020 under high disease pressure of both stem rust (SR) and yellow rust (YR) in a 21 × 8 α-lattice design with 3 replications in Kenya. Effects due to seasons were significant for YR(Aud), SR(Aud), 1000-kernel weight (TKW), days to heading (DH), plant height (PH) and number of spikelets spike(−1) (SS), while genotypes and genotypes × season interaction effects were significant for all traits except number of kernels spike(−1). Respectively, heritability values of 0.95, 0.93, 0.87, 0.86, 0.77 and 0.75 were observed for area under disease progress curve for SR (SR(Aud)), YR (YR(Aud)), TKW, DH, biomass (BM) and GY. Path analysis showed positive direct effects on GY via PH, SS, BM, and TKW. Biplot analysis identified 16 genotypes with superior desirable traits GY, BM and harvest index. The SR contributed the highest reduction in GY and TKW while YR contributed the most reduction in BM. These identified genotypes with superior GY combined with adequate resistance to both SR and YR are potentially valuable resources for improvement of locally adapted wheat cultivars. Nature Publishing Group UK 2021-11-01 /pmc/articles/PMC8560913/ /pubmed/34725387 http://dx.doi.org/10.1038/s41598-021-00785-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Msundi, Elizabeth Akinyi
Owuoche, James Otieno
Oyoo, Maurice Edwards
Macharia, Godwin
Singh, Ravi Prakash
Randhawa, Mandeep Singh
Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya
title Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya
title_full Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya
title_fullStr Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya
title_full_unstemmed Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya
title_short Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya
title_sort identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in kenya
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560913/
https://www.ncbi.nlm.nih.gov/pubmed/34725387
http://dx.doi.org/10.1038/s41598-021-00785-7
work_keys_str_mv AT msundielizabethakinyi identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya
AT owuochejamesotieno identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya
AT oyoomauriceedwards identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya
AT machariagodwin identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya
AT singhraviprakash identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya
AT randhawamandeepsingh identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya