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

Abstract 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 Internatio...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Elizabeth Akinyi Msundi, James Otieno Owuoche, Maurice Edwards Oyoo, Godwin Macharia, Ravi Prakash Singh, Mandeep Singh Randhawa
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5793e297fa024be6ad67788fdefc1a36
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:5793e297fa024be6ad67788fdefc1a36
record_format	dspace
spelling	oai:doaj.org-article:5793e297fa024be6ad67788fdefc1a362021-11-08T10:52:11ZIdentification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya10.1038/s41598-021-00785-72045-2322https://doaj.org/article/5793e297fa024be6ad67788fdefc1a362021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00785-7https://doaj.org/toc/2045-2322Abstract 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.Elizabeth Akinyi MsundiJames Otieno OwuocheMaurice Edwards OyooGodwin MachariaRavi Prakash SinghMandeep Singh RandhawaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Elizabeth Akinyi Msundi James Otieno Owuoche Maurice Edwards Oyoo Godwin Macharia Ravi Prakash Singh Mandeep Singh Randhawa Identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in Kenya
description	Abstract 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	article
author	Elizabeth Akinyi Msundi James Otieno Owuoche Maurice Edwards Oyoo Godwin Macharia Ravi Prakash Singh Mandeep Singh Randhawa
author_facet	Elizabeth Akinyi Msundi James Otieno Owuoche Maurice Edwards Oyoo Godwin Macharia Ravi Prakash Singh Mandeep Singh Randhawa
author_sort	Elizabeth Akinyi Msundi
title	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_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_sort	identification of bread wheat genotypes with superior grain yield and agronomic traits through evaluation under rust epiphytotic conditions in kenya
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/5793e297fa024be6ad67788fdefc1a36
work_keys_str_mv	AT elizabethakinyimsundi identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya AT jamesotienoowuoche identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya AT mauriceedwardsoyoo identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya AT godwinmacharia identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya AT raviprakashsingh identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya AT mandeepsinghrandhawa identificationofbreadwheatgenotypeswithsuperiorgrainyieldandagronomictraitsthroughevaluationunderrustepiphytoticconditionsinkenya
_version_	1718442523142127616

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

Ejemplares similares