SNP based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt-stress environments
Soil salinity is a major constraint to rice production in coastal areas around the globe, and modern high-yielding rice cultivars are more sensitive to high salt stress, which limits rice productivity. Traditional breeding programs find it challenging to develop stable salt-tolerant rice cultivars w...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/164076 |
| _version_ | 1855520074739220480 |
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| author | Debsharma, Sanjoy K. Rahman, Mohammad Akhlasur Quddus, Mohammad Ruhul Khatun, Hasina Disha, Ribed F. Roy, Popy R. Ahmed, Sharif El-Sharnouby, Mohamed Iftekharuddaula, Khandakar Md. Aloufi, Salman Alzuaibr, Fahad M. Alqurashi, Mohammed Sakran, Mohamed I. Kabir, Mohammad Shahjahan |
| author_browse | Ahmed, Sharif Aloufi, Salman Alqurashi, Mohammed Alzuaibr, Fahad M. Debsharma, Sanjoy K. Disha, Ribed F. El-Sharnouby, Mohamed Iftekharuddaula, Khandakar Md. Kabir, Mohammad Shahjahan Khatun, Hasina Quddus, Mohammad Ruhul Rahman, Mohammad Akhlasur Roy, Popy R. Sakran, Mohamed I. |
| author_facet | Debsharma, Sanjoy K. Rahman, Mohammad Akhlasur Quddus, Mohammad Ruhul Khatun, Hasina Disha, Ribed F. Roy, Popy R. Ahmed, Sharif El-Sharnouby, Mohamed Iftekharuddaula, Khandakar Md. Aloufi, Salman Alzuaibr, Fahad M. Alqurashi, Mohammed Sakran, Mohamed I. Kabir, Mohammad Shahjahan |
| author_sort | Debsharma, Sanjoy K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Soil salinity is a major constraint to rice production in coastal areas around the globe, and modern high-yielding rice cultivars are more sensitive to high salt stress, which limits rice productivity. Traditional breeding programs find it challenging to develop stable salt-tolerant rice cultivars with other stress-tolerant for the saline environment in Bangladesh due to large yield variations caused by excessive salinity fluctuations during the dry (boro) season. We examined trait characterization of 18 advanced breeding lines using SNP genotyping and among them, we found line G6 (BR9621-B-1-2-11) (single breeding line with multiple-stress-tolerant QTL/genes) possessed 9 useful QTLs/genes, and two lines (G4:BR9620-2-7-1-1 and G14: IR 103854-8-3-AJY1) carried 7 QTLs/genes that control the desirable traits. To evaluate yield efficiency and stability of 18 rice breeding lines, two years of field experiment data were analyzed using AMMI (additive main effect and multiplicative interaction) and GGE (Genotype, Genotype Environment) biplot analysis. The AMMI analysis of variance demonstrated significant genotype, environment, and their interaction, accounting for 14.48%, 62.38%, and 19.70% of the total variation, respectively, and revealed that among the genotypes G1, G13, G14, G17, and G18 were shown to some extent promising. Genotype G13 (IR 104002-CMU 28-CMU 1-CMU 3) was the most stable yield based on the AMMI stability value. The GGE biplot analysis indicates 76% of the total variation (PC1 48.5% and PC2 27.5%) which is performed for revealing genotype × environment interactions. In the GGE biplot analysis, genotypes were checked thoroughly in two mega-environments (ME). Genotype G14 (IR103854-8-3-AJY1) was the winning genotype in ME I, whereas G1 (BR9627-1-3-1-10) in ME II. Because of the salinity and stability factors, as well as the highest averages of grain yield, the GGE and AMMI biplot model can explain that G1 and G13 are the best genotypes. These (G1, G6, G13, G14, G17, and G18) improved multiple-stress-tolerant breeding lines with stable grain yield could be included in the variety release system in Bangladesh and be used as elite donor parents for the future breeding program as well as for commercial purposes with sustainable production. |
| format | Journal Article |
| id | CGSpace164076 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1640762025-12-08T10:29:22Z SNP based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt-stress environments Debsharma, Sanjoy K. Rahman, Mohammad Akhlasur Quddus, Mohammad Ruhul Khatun, Hasina Disha, Ribed F. Roy, Popy R. Ahmed, Sharif El-Sharnouby, Mohamed Iftekharuddaula, Khandakar Md. Aloufi, Salman Alzuaibr, Fahad M. Alqurashi, Mohammed Sakran, Mohamed I. Kabir, Mohammad Shahjahan plant science ecology evolution behavior and systematics Soil salinity is a major constraint to rice production in coastal areas around the globe, and modern high-yielding rice cultivars are more sensitive to high salt stress, which limits rice productivity. Traditional breeding programs find it challenging to develop stable salt-tolerant rice cultivars with other stress-tolerant for the saline environment in Bangladesh due to large yield variations caused by excessive salinity fluctuations during the dry (boro) season. We examined trait characterization of 18 advanced breeding lines using SNP genotyping and among them, we found line G6 (BR9621-B-1-2-11) (single breeding line with multiple-stress-tolerant QTL/genes) possessed 9 useful QTLs/genes, and two lines (G4:BR9620-2-7-1-1 and G14: IR 103854-8-3-AJY1) carried 7 QTLs/genes that control the desirable traits. To evaluate yield efficiency and stability of 18 rice breeding lines, two years of field experiment data were analyzed using AMMI (additive main effect and multiplicative interaction) and GGE (Genotype, Genotype Environment) biplot analysis. The AMMI analysis of variance demonstrated significant genotype, environment, and their interaction, accounting for 14.48%, 62.38%, and 19.70% of the total variation, respectively, and revealed that among the genotypes G1, G13, G14, G17, and G18 were shown to some extent promising. Genotype G13 (IR 104002-CMU 28-CMU 1-CMU 3) was the most stable yield based on the AMMI stability value. The GGE biplot analysis indicates 76% of the total variation (PC1 48.5% and PC2 27.5%) which is performed for revealing genotype × environment interactions. In the GGE biplot analysis, genotypes were checked thoroughly in two mega-environments (ME). Genotype G14 (IR103854-8-3-AJY1) was the winning genotype in ME I, whereas G1 (BR9627-1-3-1-10) in ME II. Because of the salinity and stability factors, as well as the highest averages of grain yield, the GGE and AMMI biplot model can explain that G1 and G13 are the best genotypes. These (G1, G6, G13, G14, G17, and G18) improved multiple-stress-tolerant breeding lines with stable grain yield could be included in the variety release system in Bangladesh and be used as elite donor parents for the future breeding program as well as for commercial purposes with sustainable production. 2022-04-24 2024-12-19T12:53:24Z 2024-12-19T12:53:24Z Journal Article https://hdl.handle.net/10568/164076 en Open Access MDPI Debsharma, Sanjoy K.; Rahman, Mohammad Akhlasur; Quddus, Mohammad Ruhul; Khatun, Hasina; Disha, Ribed F.; Roy, Popy R.; Ahmed, Sharif; El-Sharnouby, Mohamed; Iftekharuddaula, Khandakar Md.; Aloufi, Salman; Alzuaibr, Fahad M.; Alqurashi, Mohammed; Sakran, Mohamed I. and Kabir, Mohammad Shahjahan. 2022. SNP based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt-stress environments. Plants, Volume 11 no. 9 p. 1150 |
| spellingShingle | plant science ecology evolution behavior and systematics Debsharma, Sanjoy K. Rahman, Mohammad Akhlasur Quddus, Mohammad Ruhul Khatun, Hasina Disha, Ribed F. Roy, Popy R. Ahmed, Sharif El-Sharnouby, Mohamed Iftekharuddaula, Khandakar Md. Aloufi, Salman Alzuaibr, Fahad M. Alqurashi, Mohammed Sakran, Mohamed I. Kabir, Mohammad Shahjahan SNP based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt-stress environments |
| title | SNP based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt-stress environments |
| title_full | SNP based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt-stress environments |
| title_fullStr | SNP based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt-stress environments |
| title_full_unstemmed | SNP based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt-stress environments |
| title_short | SNP based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt-stress environments |
| title_sort | snp based trait characterization detects genetically important and stable multiple stress tolerance rice genotypes in salt stress environments |
| topic | plant science ecology evolution behavior and systematics |
| url | https://hdl.handle.net/10568/164076 |
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