Comparative conventional and phenomics approaches to assess symbiotic effectiveness of Bradyrhizobia strains in soybean (Glycine max L. Merrill) to drought
Symbiotic effectiveness of rhizobitoxine (Rtx)-producing strains of Bradyrhizobium spp. in soybean (cultivar NRC-37/Ahilya-4) under limited soil moisture conditions was evaluated using phenomics tools such as infrared(IR) thermal and visible imaging. Red, green and blue (RGB) colour pixels were stan...
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Published in: | Scientific reports Vol. 7; no. 1; pp. 6958 - 14 |
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Abstract | Symbiotic effectiveness of rhizobitoxine (Rtx)-producing strains of
Bradyrhizobium
spp. in soybean (cultivar NRC-37/Ahilya-4) under limited soil moisture conditions was evaluated using phenomics tools such as infrared(IR) thermal and visible imaging. Red, green and blue (RGB) colour pixels were standardized to analyse a total of 1017 IR thermal and 692 visible images. Plants inoculated with the Rtx-producing strains
B. elkanii
USDA-61 and USDA-94 and successive inoculation by
B. diazoefficiens
USDA-110 resulted in cooler canopy temperatures and increased canopy greenness. The results of the image analysis of plants inoculated with Rtx-producing strains were correlated with effective nodulation, improved photosynthesis, plant nitrogen status and yield parameters. Principal component analysis (PCA) revealed the reliability of the phenomics approach over conventional destructive approaches in assessing the symbiotic effectiveness of
Bradyrhizobium
strains in soybean plants under watered (87.41–89.96%) and water-stressed (90.54–94.21%) conditions. Multivariate cluster analysis (MCA) revealed two distinct clusters denoting effective (Rtx) and ineffective (non-Rtx)
Bradyrhizobium
inoculation treatments in soybean. Furthermore, correlation analysis showed that this phenotyping approach is a dependable alternative for screening drought tolerant genotypes or drought resilience symbiosis. This is the first report on the application of non-invasive phenomics techniques, particularly RGB-based image analysis, in assessing plant-microbe symbiotic interactions to impart abiotic stress tolerance. |
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AbstractList | Symbiotic effectiveness of rhizobitoxine (Rtx)-producing strains of Bradyrhizobium spp. in soybean (cultivar NRC-37/Ahilya-4) under limited soil moisture conditions was evaluated using phenomics tools such as infrared(IR) thermal and visible imaging. Red, green and blue (RGB) colour pixels were standardized to analyse a total of 1017 IR thermal and 692 visible images. Plants inoculated with the Rtx-producing strains B. elkanii USDA-61 and USDA-94 and successive inoculation by B. diazoefficiens USDA-110 resulted in cooler canopy temperatures and increased canopy greenness. The results of the image analysis of plants inoculated with Rtx-producing strains were correlated with effective nodulation, improved photosynthesis, plant nitrogen status and yield parameters. Principal component analysis (PCA) revealed the reliability of the phenomics approach over conventional destructive approaches in assessing the symbiotic effectiveness of Bradyrhizobium strains in soybean plants under watered (87.41-89.96%) and water-stressed (90.54-94.21%) conditions. Multivariate cluster analysis (MCA) revealed two distinct clusters denoting effective (Rtx) and ineffective (non-Rtx) Bradyrhizobium inoculation treatments in soybean. Furthermore, correlation analysis showed that this phenotyping approach is a dependable alternative for screening drought tolerant genotypes or drought resilience symbiosis. This is the first report on the application of non-invasive phenomics techniques, particularly RGB-based image analysis, in assessing plant-microbe symbiotic interactions to impart abiotic stress tolerance. Symbiotic effectiveness of rhizobitoxine (Rtx)-producing strains of Bradyrhizobium spp. in soybean (cultivar NRC-37/Ahilya-4) under limited soil moisture conditions was evaluated using phenomics tools such as infrared(IR) thermal and visible imaging. Red, green and blue (RGB) colour pixels were standardized to analyse a total of 1017 IR thermal and 692 visible images. Plants inoculated with the Rtx-producing strains B. elkanii USDA-61 and USDA-94 and successive inoculation by B. diazoefficiens USDA-110 resulted in cooler canopy temperatures and increased canopy greenness. The results of the image analysis of plants inoculated with Rtx-producing strains were correlated with effective nodulation, improved photosynthesis, plant nitrogen status and yield parameters. Principal component analysis (PCA) revealed the reliability of the phenomics approach over conventional destructive approaches in assessing the symbiotic effectiveness of Bradyrhizobium strains in soybean plants under watered (87.41–89.96%) and water-stressed (90.54–94.21%) conditions. Multivariate cluster analysis (MCA) revealed two distinct clusters denoting effective (Rtx) and ineffective (non-Rtx) Bradyrhizobium inoculation treatments in soybean. Furthermore, correlation analysis showed that this phenotyping approach is a dependable alternative for screening drought tolerant genotypes or drought resilience symbiosis. This is the first report on the application of non-invasive phenomics techniques, particularly RGB-based image analysis, in assessing plant-microbe symbiotic interactions to impart abiotic stress tolerance. Abstract Symbiotic effectiveness of rhizobitoxine (Rtx)-producing strains of Bradyrhizobium spp. in soybean (cultivar NRC-37/Ahilya-4) under limited soil moisture conditions was evaluated using phenomics tools such as infrared(IR) thermal and visible imaging. Red, green and blue (RGB) colour pixels were standardized to analyse a total of 1017 IR thermal and 692 visible images. Plants inoculated with the Rtx-producing strains B. elkanii USDA-61 and USDA-94 and successive inoculation by B. diazoefficiens USDA-110 resulted in cooler canopy temperatures and increased canopy greenness. The results of the image analysis of plants inoculated with Rtx-producing strains were correlated with effective nodulation, improved photosynthesis, plant nitrogen status and yield parameters. Principal component analysis (PCA) revealed the reliability of the phenomics approach over conventional destructive approaches in assessing the symbiotic effectiveness of Bradyrhizobium strains in soybean plants under watered (87.41–89.96%) and water-stressed (90.54–94.21%) conditions. Multivariate cluster analysis (MCA) revealed two distinct clusters denoting effective (Rtx) and ineffective (non-Rtx) Bradyrhizobium inoculation treatments in soybean. Furthermore, correlation analysis showed that this phenotyping approach is a dependable alternative for screening drought tolerant genotypes or drought resilience symbiosis. This is the first report on the application of non-invasive phenomics techniques, particularly RGB-based image analysis, in assessing plant-microbe symbiotic interactions to impart abiotic stress tolerance. |
ArticleNumber | 6958 |
Author | Govindasamy, Venkadasamy Aher, Lalitkumar Thangasamy, Arunachalam Kumar, Mahesh Minhas, Paramjit Singh George, Priya Anandan, Sivalingam Rane, Jagadish Annapurna, Kannepalli Raina, Susheel Kumar Ramesh, Shunmugiah V. |
Author_xml | – sequence: 1 givenname: Venkadasamy surname: Govindasamy fullname: Govindasamy, Venkadasamy email: govindasamy@iari.res.in organization: School of Drought Stress Management, ICAR-National Institute of Abiotic Stress Management, Baramati, Division of Microbiology, ICAR-Indian Agricultural Research Institute – sequence: 2 givenname: Priya surname: George fullname: George, Priya organization: School of Drought Stress Management, ICAR-National Institute of Abiotic Stress Management, Baramati – sequence: 3 givenname: Lalitkumar surname: Aher fullname: Aher, Lalitkumar organization: School of Drought Stress Management, ICAR-National Institute of Abiotic Stress Management, Baramati – sequence: 4 givenname: Shunmugiah V. surname: Ramesh fullname: Ramesh, Shunmugiah V. organization: ICAR-Indian Institute of Soybean Research – sequence: 5 givenname: Arunachalam surname: Thangasamy fullname: Thangasamy, Arunachalam organization: ICAR-Directorate of Onion and Garlic Research, Rajgurunagar – sequence: 6 givenname: Sivalingam surname: Anandan fullname: Anandan, Sivalingam organization: ICAR-Directorate of Onion and Garlic Research, Rajgurunagar – sequence: 7 givenname: Susheel Kumar surname: Raina fullname: Raina, Susheel Kumar organization: School of Drought Stress Management, ICAR-National Institute of Abiotic Stress Management, Baramati, ICAR-Central Institute of Temperate Horticulture – sequence: 8 givenname: Mahesh surname: Kumar fullname: Kumar, Mahesh organization: School of Drought Stress Management, ICAR-National Institute of Abiotic Stress Management, Baramati – sequence: 9 givenname: Jagadish surname: Rane fullname: Rane, Jagadish organization: School of Drought Stress Management, ICAR-National Institute of Abiotic Stress Management, Baramati – sequence: 10 givenname: Kannepalli surname: Annapurna fullname: Annapurna, Kannepalli organization: Division of Microbiology, ICAR-Indian Agricultural Research Institute – sequence: 11 givenname: Paramjit Singh surname: Minhas fullname: Minhas, Paramjit Singh organization: School of Drought Stress Management, ICAR-National Institute of Abiotic Stress Management, Baramati |
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Snippet | Symbiotic effectiveness of rhizobitoxine (Rtx)-producing strains of
Bradyrhizobium
spp. in soybean (cultivar NRC-37/Ahilya-4) under limited soil moisture... Symbiotic effectiveness of rhizobitoxine (Rtx)-producing strains of Bradyrhizobium spp. in soybean (cultivar NRC-37/Ahilya-4) under limited soil moisture... Abstract Symbiotic effectiveness of rhizobitoxine (Rtx)-producing strains of Bradyrhizobium spp. in soybean (cultivar NRC-37/Ahilya-4) under limited soil... |
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Title | Comparative conventional and phenomics approaches to assess symbiotic effectiveness of Bradyrhizobia strains in soybean (Glycine max L. Merrill) to drought |
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