Leaf reflectance and physiological attributes monitoring differentiate rice cultivars under drought-stress and non-stress conditions
Rice production in Africa is unambiguously hampered by drought. This study aimed to monitor the efficiency of physiological traits (stomatal conductance (gsw), transpiration rate (E)), and leaf-reflectance (NDVI and RDVI) at vegetative (VS) and reproductive (RS) stages for selection of drought-toler...
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Taylor & Francis Group
2025-12-01
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| Series: | Cogent Food & Agriculture |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/23311932.2025.2453086 |
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| author | Kossi Lorimpo Adjah Maxwell Darko Asante Michael Frei Aboubacar Toure Mawuli Aziadekey Linbo Wu Andriele Wairich Daniel Dzorkpe Gamenyah Shailesh Yadav |
| author_facet | Kossi Lorimpo Adjah Maxwell Darko Asante Michael Frei Aboubacar Toure Mawuli Aziadekey Linbo Wu Andriele Wairich Daniel Dzorkpe Gamenyah Shailesh Yadav |
| author_sort | Kossi Lorimpo Adjah |
| collection | DOAJ |
| description | Rice production in Africa is unambiguously hampered by drought. This study aimed to monitor the efficiency of physiological traits (stomatal conductance (gsw), transpiration rate (E)), and leaf-reflectance (NDVI and RDVI) at vegetative (VS) and reproductive (RS) stages for selection of drought-tolerant genotypes. To achieve these objectives, we screened 14 rice genotypes under drought-stress and non-stress conditions in the greenhouse. At VS-drought-stress, the relative-gsw and relative-E consistently showed efficiency in differentiating drought-tolerant genotypes APO and UPLR-17 from the drought-sensitive ones at 11-, 18- and 27-days during VS-drought-stress, while NDVI, CRI1 and CRI2 at 18- and 27-days. At RS-drought-stress, genotypes APO and UPLR-17 were selected as drought-tolerant genotypes based on the multi-trait-genotype-ideotype-distance-index (MGIDI) confirming the selection at 11-, 18- and 27-days during VS-drought-stress. This consistency in selecting APO and UPLR-17 as drought-tolerant genotypes at both VS and RS proved the efficiency of gsw, E, NDVI, RDVI, CRI1 and CRI2 in selecting for drought-tolerant varieties at VS. Genotypes UPLR-17 and APO consistently showed homozygosity status for the favorable alleles G, A, G and C for drought-tolerant QTLs DTY1.1 (snpOS00400), DTY1.1 (snpOS00402), DTY1.1 (snpOS00408) and DTY12.1 (snpOS00483), respectively, confirming their drought tolerance status. At RS, with GYP recorded positive and significant correlation with RDVI, while regression analysis revealed that 34% of the variability in GYP is explained by RDVI. The regression analysis coupled with correlation analysis between LDS, DTF, RDVI and GYP implied that these traits can be used as predictors of GYP at RS-drought-stress. While gsw, E and NDVI are recommended for monitoring during VS-drought-stress screening. |
| format | Article |
| id | doaj-art-3f9549dfeac14138916abc66e54ccc4d |
| institution | Kabale University |
| issn | 2331-1932 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
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| series | Cogent Food & Agriculture |
| spelling | doaj-art-3f9549dfeac14138916abc66e54ccc4d2025-01-22T05:51:54ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322025-12-0111110.1080/23311932.2025.2453086Leaf reflectance and physiological attributes monitoring differentiate rice cultivars under drought-stress and non-stress conditionsKossi Lorimpo Adjah0Maxwell Darko Asante1Michael Frei2Aboubacar Toure3Mawuli Aziadekey4Linbo Wu5Andriele Wairich6Daniel Dzorkpe Gamenyah7Shailesh Yadav8West African Science Service Center on Climate Change and Adapted Land Use/Climate Change and Agriculture Program, IPR/IFRA, Katibougou, MaliCouncil for Scientific and Industrial Research-Crops Research Institute, Fumesua- Kumasi, GhanaInstitute of Agronomy and Plant Breeding, Justus-Liebig-University of Giessen, Giessen, GermanyInternational Crops Research Institute for the Semi-Arid Tropics, Bamako, MaliHigh School of Agriculture, University of Lomé (UL), Lomé, TogoInstitute of Agronomy and Plant Breeding, Justus-Liebig-University of Giessen, Giessen, GermanyInstitute of Agronomy and Plant Breeding, Justus-Liebig-University of Giessen, Giessen, GermanyCouncil for Scientific and Industrial Research-Crops Research Institute, Fumesua- Kumasi, GhanaAfrica Rice Center (AfricaRice), M’bé Research Station 01 BP 2551 Bouaké 01, Cote d’IvoireRice production in Africa is unambiguously hampered by drought. This study aimed to monitor the efficiency of physiological traits (stomatal conductance (gsw), transpiration rate (E)), and leaf-reflectance (NDVI and RDVI) at vegetative (VS) and reproductive (RS) stages for selection of drought-tolerant genotypes. To achieve these objectives, we screened 14 rice genotypes under drought-stress and non-stress conditions in the greenhouse. At VS-drought-stress, the relative-gsw and relative-E consistently showed efficiency in differentiating drought-tolerant genotypes APO and UPLR-17 from the drought-sensitive ones at 11-, 18- and 27-days during VS-drought-stress, while NDVI, CRI1 and CRI2 at 18- and 27-days. At RS-drought-stress, genotypes APO and UPLR-17 were selected as drought-tolerant genotypes based on the multi-trait-genotype-ideotype-distance-index (MGIDI) confirming the selection at 11-, 18- and 27-days during VS-drought-stress. This consistency in selecting APO and UPLR-17 as drought-tolerant genotypes at both VS and RS proved the efficiency of gsw, E, NDVI, RDVI, CRI1 and CRI2 in selecting for drought-tolerant varieties at VS. Genotypes UPLR-17 and APO consistently showed homozygosity status for the favorable alleles G, A, G and C for drought-tolerant QTLs DTY1.1 (snpOS00400), DTY1.1 (snpOS00402), DTY1.1 (snpOS00408) and DTY12.1 (snpOS00483), respectively, confirming their drought tolerance status. At RS, with GYP recorded positive and significant correlation with RDVI, while regression analysis revealed that 34% of the variability in GYP is explained by RDVI. The regression analysis coupled with correlation analysis between LDS, DTF, RDVI and GYP implied that these traits can be used as predictors of GYP at RS-drought-stress. While gsw, E and NDVI are recommended for monitoring during VS-drought-stress screening.https://www.tandfonline.com/doi/10.1080/23311932.2025.2453086Ricestomatal conductancetranspiration raterenormalized difference vegetation indexleaf drying score and drought tolerancePlant & Animal Ecology |
| spellingShingle | Kossi Lorimpo Adjah Maxwell Darko Asante Michael Frei Aboubacar Toure Mawuli Aziadekey Linbo Wu Andriele Wairich Daniel Dzorkpe Gamenyah Shailesh Yadav Leaf reflectance and physiological attributes monitoring differentiate rice cultivars under drought-stress and non-stress conditions Cogent Food & Agriculture Rice stomatal conductance transpiration rate renormalized difference vegetation index leaf drying score and drought tolerance Plant & Animal Ecology |
| title | Leaf reflectance and physiological attributes monitoring differentiate rice cultivars under drought-stress and non-stress conditions |
| title_full | Leaf reflectance and physiological attributes monitoring differentiate rice cultivars under drought-stress and non-stress conditions |
| title_fullStr | Leaf reflectance and physiological attributes monitoring differentiate rice cultivars under drought-stress and non-stress conditions |
| title_full_unstemmed | Leaf reflectance and physiological attributes monitoring differentiate rice cultivars under drought-stress and non-stress conditions |
| title_short | Leaf reflectance and physiological attributes monitoring differentiate rice cultivars under drought-stress and non-stress conditions |
| title_sort | leaf reflectance and physiological attributes monitoring differentiate rice cultivars under drought stress and non stress conditions |
| topic | Rice stomatal conductance transpiration rate renormalized difference vegetation index leaf drying score and drought tolerance Plant & Animal Ecology |
| url | https://www.tandfonline.com/doi/10.1080/23311932.2025.2453086 |
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