Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traits
IntroductionAmong the rice diseases, rice blast caused by the pathogen Magnaporthe oryzae is a major threat to the global rice cultivation. This experiment was aimed at investigating the genotype by environment interaction effects on the severity of blast disease and variability of the advanced blas...
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| Format: | Article |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Agronomy |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fagro.2022.990397/full |
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| author | Syafiqah Binti Salleh Mohd Yusop Rafii Mohd Yusop Rafii Mohd Razi Ismail Mohd Razi Ismail Asfaliza Ramli Samuel C. Chukwu Samuel C. Chukwu Oladosu Yusuff Nor’Aishah Hasan |
| author_facet | Syafiqah Binti Salleh Mohd Yusop Rafii Mohd Yusop Rafii Mohd Razi Ismail Mohd Razi Ismail Asfaliza Ramli Samuel C. Chukwu Samuel C. Chukwu Oladosu Yusuff Nor’Aishah Hasan |
| author_sort | Syafiqah Binti Salleh |
| collection | DOAJ |
| description | IntroductionAmong the rice diseases, rice blast caused by the pathogen Magnaporthe oryzae is a major threat to the global rice cultivation. This experiment was aimed at investigating the genotype by environment interaction effects on the severity of blast disease and variability of the advanced blast resistant rice lines using quantitative characters.Materials and methodsThe experiment was laid out in randomized complete block design conducted at three locations. Data were collected on 21 traits which included vegetative, physiological, yield and yield components and were subjected to analysis of variance and variance component analysis. Cluster analysis was authenticated using principal component analysis for genotypes’ classification.Results and discussionAll vegetative and yield traits showed highly significant variation among the advanced lines and the check. Seberang Prai showed the highest average yield (5.62t/ha), followed by Tanjung Karang (5.39t/ha) and UPM (4.97t/ha). All the advanced lines showed high resistance to blast disease. Evaluation across the three environments indicated that genotype G3, from MR219 based population, had the highest yield and resistance to blast infection. Genotype G21, from MR263 based population, performed best across the three environments studied and were selected for further breeding programme. The two selected lines, three and four clusters derived from MR219 and MR263 based populations, respectively, were recommended as new lines for further breeding programmes. |
| first_indexed | 2024-04-13T09:57:41Z |
| format | Article |
| id | doaj.art-8c65adefb80847178cad683befddd393 |
| institution | Directory Open Access Journal |
| issn | 2673-3218 |
| language | English |
| last_indexed | 2024-04-13T09:57:41Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Agronomy |
| spelling | doaj.art-8c65adefb80847178cad683befddd3932022-12-22T02:51:19ZengFrontiers Media S.A.Frontiers in Agronomy2673-32182022-12-01410.3389/fagro.2022.990397990397Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traitsSyafiqah Binti Salleh0Mohd Yusop Rafii1Mohd Yusop Rafii2Mohd Razi Ismail3Mohd Razi Ismail4Asfaliza Ramli5Samuel C. Chukwu6Samuel C. Chukwu7Oladosu Yusuff8Nor’Aishah Hasan9Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaInstitute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaDepartment of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaInstitute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaDepartment of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaRice Improvement Programme, Malaysia Agriculture Research and Development Institute (MARDI), Serdang, Selangor, MalaysiaInstitute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaDepartment of Crop Production and Landscape Management, Ebonyi State University, Abakaliki, NigeriaInstitute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang, Selangor, MalaysiaFaculty of Applied Science, Universiti Teknologi MARA (UiTM), Kuala Pilah, Negeri Sembilan, MalaysiaIntroductionAmong the rice diseases, rice blast caused by the pathogen Magnaporthe oryzae is a major threat to the global rice cultivation. This experiment was aimed at investigating the genotype by environment interaction effects on the severity of blast disease and variability of the advanced blast resistant rice lines using quantitative characters.Materials and methodsThe experiment was laid out in randomized complete block design conducted at three locations. Data were collected on 21 traits which included vegetative, physiological, yield and yield components and were subjected to analysis of variance and variance component analysis. Cluster analysis was authenticated using principal component analysis for genotypes’ classification.Results and discussionAll vegetative and yield traits showed highly significant variation among the advanced lines and the check. Seberang Prai showed the highest average yield (5.62t/ha), followed by Tanjung Karang (5.39t/ha) and UPM (4.97t/ha). All the advanced lines showed high resistance to blast disease. Evaluation across the three environments indicated that genotype G3, from MR219 based population, had the highest yield and resistance to blast infection. Genotype G21, from MR263 based population, performed best across the three environments studied and were selected for further breeding programme. The two selected lines, three and four clusters derived from MR219 and MR263 based populations, respectively, were recommended as new lines for further breeding programmes.https://www.frontiersin.org/articles/10.3389/fagro.2022.990397/fullG×Egenotypic coefficient of variation (GCV)phenotypic coefficient of variation (PCV)heritabilitygenetic advanceOryza sativa L. |
| spellingShingle | Syafiqah Binti Salleh Mohd Yusop Rafii Mohd Yusop Rafii Mohd Razi Ismail Mohd Razi Ismail Asfaliza Ramli Samuel C. Chukwu Samuel C. Chukwu Oladosu Yusuff Nor’Aishah Hasan Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traits Frontiers in Agronomy G×E genotypic coefficient of variation (GCV) phenotypic coefficient of variation (PCV) heritability genetic advance Oryza sativa L. |
| title | Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traits |
| title_full | Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traits |
| title_fullStr | Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traits |
| title_full_unstemmed | Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traits |
| title_short | Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traits |
| title_sort | genotype by environment interaction effects on blast disease severity and genetic diversity of advanced blast resistant rice lines based on quantitative traits |
| topic | G×E genotypic coefficient of variation (GCV) phenotypic coefficient of variation (PCV) heritability genetic advance Oryza sativa L. |
| url | https://www.frontiersin.org/articles/10.3389/fagro.2022.990397/full |
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