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Genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing

The objective of this study was to determine genetic potentials in eight sets of cowpea lines for grain yield (GY), hundred seed weight (HSDWT) and days to 50% flowering (DT50FL). A total of 614 F(6) genotypes constituting the sets, grouped by maturity, were evaluated across two locations in Norther...

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Autores principales: Ongom, Patrick Obia, Fatokun, Christian, Togola, Abou, Oyebode, Oluwaseye Gideon, Ahmad, Mansur Sani, Jockson, Ishaya Daniel, Bala, Garba, Boukar, Ousmane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846544/
https://www.ncbi.nlm.nih.gov/pubmed/33603249
http://dx.doi.org/10.1007/s10681-020-02763-y
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author Ongom, Patrick Obia
Fatokun, Christian
Togola, Abou
Oyebode, Oluwaseye Gideon
Ahmad, Mansur Sani
Jockson, Ishaya Daniel
Bala, Garba
Boukar, Ousmane
author_facet Ongom, Patrick Obia
Fatokun, Christian
Togola, Abou
Oyebode, Oluwaseye Gideon
Ahmad, Mansur Sani
Jockson, Ishaya Daniel
Bala, Garba
Boukar, Ousmane
author_sort Ongom, Patrick Obia
collection PubMed
description The objective of this study was to determine genetic potentials in eight sets of cowpea lines for grain yield (GY), hundred seed weight (HSDWT) and days to 50% flowering (DT50FL). A total of 614 F(6) genotypes constituting the sets, grouped by maturity, were evaluated across two locations in Northern Nigeria, in an alpha lattice design, two replications each. Data were recorded on GY, HSDWT and DT50FL.Variance components, genotypic coefficient of variation (GCV), and genetic advance (G(A)) were used to decode the magnitude of genetic variance within and among sets. Genetic usefulness (Up) which depends on mean and variance to score the genetic merits in historically bi-parental populations was applied to groups of breeding lines with mixed parentage. Principal component analysis (PCA) was used to depict contribution of traits to observed variations. GY and DT50FL explained the variance within and between sets respectively. Genotypes were significantly different, although genotype-by-location and set-by-location interaction effects were also prominent. Genetic variance (δ(2)(G)) and GCV were high for GY in Prelim2 (δ(2)(G) = 45,897; GCV = 19.58%), HSDWT in Prelim11 (δ(2)(G) = 7.137; GCV = 17.07%) and DT50F in Prelim5 (δ(2)(G) = 4.54; GCV = 4.4%). Heritability varied among sets for GY (H = 0.21 to 0.57), HSDWT (H = 0.76 to 0.93) and DT50FL (H = 0.20 to 0.81). G(A) and percentage G(A) (G(APM)) were high for GY in Prelim2 (G(APM) = 24.59%; G(A) = 269.05Kg/ha), HSDWT in Prelim11 (G(APM) = 28.54%; G(A) = 4.47 g), and DT50F in Prelim10 (G(APM) = 6.49%; G(A) = 3.01 days). These sets also registered high values of genetic usefulness, suggesting potential application in non-full sib populations. These approaches can be used during preliminary performance tests to reinforce decisions in extracting promising lines and choose among defined groups of lines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s10681-020-02763-y)
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spelling pubmed-78465442021-02-16 Genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing Ongom, Patrick Obia Fatokun, Christian Togola, Abou Oyebode, Oluwaseye Gideon Ahmad, Mansur Sani Jockson, Ishaya Daniel Bala, Garba Boukar, Ousmane Euphytica Article The objective of this study was to determine genetic potentials in eight sets of cowpea lines for grain yield (GY), hundred seed weight (HSDWT) and days to 50% flowering (DT50FL). A total of 614 F(6) genotypes constituting the sets, grouped by maturity, were evaluated across two locations in Northern Nigeria, in an alpha lattice design, two replications each. Data were recorded on GY, HSDWT and DT50FL.Variance components, genotypic coefficient of variation (GCV), and genetic advance (G(A)) were used to decode the magnitude of genetic variance within and among sets. Genetic usefulness (Up) which depends on mean and variance to score the genetic merits in historically bi-parental populations was applied to groups of breeding lines with mixed parentage. Principal component analysis (PCA) was used to depict contribution of traits to observed variations. GY and DT50FL explained the variance within and between sets respectively. Genotypes were significantly different, although genotype-by-location and set-by-location interaction effects were also prominent. Genetic variance (δ(2)(G)) and GCV were high for GY in Prelim2 (δ(2)(G) = 45,897; GCV = 19.58%), HSDWT in Prelim11 (δ(2)(G) = 7.137; GCV = 17.07%) and DT50F in Prelim5 (δ(2)(G) = 4.54; GCV = 4.4%). Heritability varied among sets for GY (H = 0.21 to 0.57), HSDWT (H = 0.76 to 0.93) and DT50FL (H = 0.20 to 0.81). G(A) and percentage G(A) (G(APM)) were high for GY in Prelim2 (G(APM) = 24.59%; G(A) = 269.05Kg/ha), HSDWT in Prelim11 (G(APM) = 28.54%; G(A) = 4.47 g), and DT50F in Prelim10 (G(APM) = 6.49%; G(A) = 3.01 days). These sets also registered high values of genetic usefulness, suggesting potential application in non-full sib populations. These approaches can be used during preliminary performance tests to reinforce decisions in extracting promising lines and choose among defined groups of lines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s10681-020-02763-y) Springer Netherlands 2021-01-29 2021 /pmc/articles/PMC7846544/ /pubmed/33603249 http://dx.doi.org/10.1007/s10681-020-02763-y Text en © The Author(s) 2021 Open AccessThis 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/.
spellingShingle Article
Ongom, Patrick Obia
Fatokun, Christian
Togola, Abou
Oyebode, Oluwaseye Gideon
Ahmad, Mansur Sani
Jockson, Ishaya Daniel
Bala, Garba
Boukar, Ousmane
Genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing
title Genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing
title_full Genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing
title_fullStr Genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing
title_full_unstemmed Genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing
title_short Genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing
title_sort genetic worth of multiple sets of cowpea breeding lines destined for advanced yield testing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846544/
https://www.ncbi.nlm.nih.gov/pubmed/33603249
http://dx.doi.org/10.1007/s10681-020-02763-y
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