Phenotyping cowpea accessions at the seedling stage for drought tolerance in controlled environments
One of the most important screening techniques used in cowpea selection for drought tolerance is screening at the seedling stage. The objective of this study was to phenotype 60 cowpea genotypes for seedling drought tolerance in screen houses (glasshouse and greenhouse). Principal component analysis...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2022-06-01
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| Series: | Open Agriculture |
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| Online Access: | https://doi.org/10.1515/opag-2022-0093 |
| _version_ | 1811235755789385728 |
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| author | Nkomo Gabriel V. Sedibe Moosa M. Mofokeng Maletsema A. |
| author_facet | Nkomo Gabriel V. Sedibe Moosa M. Mofokeng Maletsema A. |
| author_sort | Nkomo Gabriel V. |
| collection | DOAJ |
| description | One of the most important screening techniques used in cowpea selection for drought tolerance is screening at the seedling stage. The objective of this study was to phenotype 60 cowpea genotypes for seedling drought tolerance in screen houses (glasshouse and greenhouse). Principal component analysis revealed that of the 14 variables, the first 4 expressed more than 1 eigenvalue. Data showed that PC1, PC2, and PC3 contributed 39.3, 15.2, and 10%, respectively, with 64.68% total variation. A PCA plot and biplot showed that the number of pods (NP), seeds per pod (SP), survival count (SC), pod weight (PWT), and stem wilting in week 1 (WWK1) had the most significant contributions to genetic variability to drought tolerance and to yield after stress imposition based on the PCA, biplot, and cluster plot, the accessions IT 07-292-10, IT 07-274-2-9, IT90K-59, 835-911, RV 343, and IT 95K-2017-15 had the maximum variability in terms of NP, SP, SC, PWT, and WWK1 after drought imposition. Cowpea accessions 835-911, IT 07-292-10, RV 344, Kangorongondo, and IT 90K-59 were the major individuals that contributed mainly to domain information model (DIM) 1 and 2. The accessions that contributed the least were IT 89KD288, Chibundi mavara, and TVU12746. Thirty-six cowpea accessions from both screen houses were tolerant to drought, 15 were moderately tolerant, while 23 were susceptible. The findings of the study provided a useful tool for screening and determining drought-tolerant and susceptible accessions at the seedling stage. |
| first_indexed | 2024-04-12T11:57:20Z |
| format | Article |
| id | doaj.art-d2f8eb0412b64b4f969dd8f5ca3d6a9b |
| institution | Directory Open Access Journal |
| issn | 2391-9531 |
| language | English |
| last_indexed | 2024-04-12T11:57:20Z |
| publishDate | 2022-06-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Agriculture |
| spelling | doaj.art-d2f8eb0412b64b4f969dd8f5ca3d6a9b2022-12-22T03:33:57ZengDe GruyterOpen Agriculture2391-95312022-06-017143344410.1515/opag-2022-0093Phenotyping cowpea accessions at the seedling stage for drought tolerance in controlled environmentsNkomo Gabriel V.0Sedibe Moosa M.1Mofokeng Maletsema A.2Department of Agriculture, Central University of Technology Free State, Bloemfontein, South AfricaDepartment of Agriculture, Central University of Technology Free State, Bloemfontein, South AfricaDepartment of Plant Breeding, Agriculture Research Council Grain Crops, Potchefstroom, South AfricaOne of the most important screening techniques used in cowpea selection for drought tolerance is screening at the seedling stage. The objective of this study was to phenotype 60 cowpea genotypes for seedling drought tolerance in screen houses (glasshouse and greenhouse). Principal component analysis revealed that of the 14 variables, the first 4 expressed more than 1 eigenvalue. Data showed that PC1, PC2, and PC3 contributed 39.3, 15.2, and 10%, respectively, with 64.68% total variation. A PCA plot and biplot showed that the number of pods (NP), seeds per pod (SP), survival count (SC), pod weight (PWT), and stem wilting in week 1 (WWK1) had the most significant contributions to genetic variability to drought tolerance and to yield after stress imposition based on the PCA, biplot, and cluster plot, the accessions IT 07-292-10, IT 07-274-2-9, IT90K-59, 835-911, RV 343, and IT 95K-2017-15 had the maximum variability in terms of NP, SP, SC, PWT, and WWK1 after drought imposition. Cowpea accessions 835-911, IT 07-292-10, RV 344, Kangorongondo, and IT 90K-59 were the major individuals that contributed mainly to domain information model (DIM) 1 and 2. The accessions that contributed the least were IT 89KD288, Chibundi mavara, and TVU12746. Thirty-six cowpea accessions from both screen houses were tolerant to drought, 15 were moderately tolerant, while 23 were susceptible. The findings of the study provided a useful tool for screening and determining drought-tolerant and susceptible accessions at the seedling stage.https://doi.org/10.1515/opag-2022-0093accessionscowpeadrought tolerancephenotypescreen houses |
| spellingShingle | Nkomo Gabriel V. Sedibe Moosa M. Mofokeng Maletsema A. Phenotyping cowpea accessions at the seedling stage for drought tolerance in controlled environments Open Agriculture accessions cowpea drought tolerance phenotype screen houses |
| title | Phenotyping cowpea accessions at the seedling stage for drought tolerance in controlled environments |
| title_full | Phenotyping cowpea accessions at the seedling stage for drought tolerance in controlled environments |
| title_fullStr | Phenotyping cowpea accessions at the seedling stage for drought tolerance in controlled environments |
| title_full_unstemmed | Phenotyping cowpea accessions at the seedling stage for drought tolerance in controlled environments |
| title_short | Phenotyping cowpea accessions at the seedling stage for drought tolerance in controlled environments |
| title_sort | phenotyping cowpea accessions at the seedling stage for drought tolerance in controlled environments |
| topic | accessions cowpea drought tolerance phenotype screen houses |
| url | https://doi.org/10.1515/opag-2022-0093 |
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