Aromaticity of secondary products as the marker for sweet sorghum [Sorghum bicolor (L.) Moench] genotype and environment effects
Although data analytics and systems modeling are increasingly being utilized to interpret genotype × environment interactions in plant breeding, chemometrics is currently underutilized. Prior reports indicated correlations between redox-active polyphenols in stem juice of sweet sorghum [Sorghum bico...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Journal of Agriculture and Food Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154322000710 |
| _version_ | 1817999644007858176 |
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| author | Minori Uchimiya |
| author_facet | Minori Uchimiya |
| author_sort | Minori Uchimiya |
| collection | DOAJ |
| description | Although data analytics and systems modeling are increasingly being utilized to interpret genotype × environment interactions in plant breeding, chemometrics is currently underutilized. Prior reports indicated correlations between redox-active polyphenols in stem juice of sweet sorghum [Sorghum bicolor (L.) Moench] and its resistance against sugarcane aphid [Melanaphis sacchari (Zehntner)]. However, such correlations are often confounded by the outperforming genotype (outlier in correlations) capable of accumulating several-fold higher secondary metabolites than other cultivars examined. To investigate the underlying chemical characteristics responsible for the pest resistance, this study first employed principal component analysis (PCA) as the exploratory analysis to visualize the primary factors affecting genotype and environmental (April, May, and June planting months) dependence of juice extracted from 24 sweet sorghum cultivars. Chemical parameters arising from redox reactivity were primarily responsible for distinguishing a resistant genotype. The distance of dendrogram based on the genotype-dependent electrochemistry (cyclic voltammetry) was then used as the perturbation parameter in 2D correlation analysis to understand the controlling chemical structures; both genotype and environment were controlled by the redox reactivity and aromaticity of sweet sorghum. Aromatic structures detectable by UV/visible spectrophotometry were then used to build calibrations based on machine learning. The workflow of data analytics in this study could be applied to expedite the biomarker-driven plant breeding without repeating chemical analysis of new field samples. |
| first_indexed | 2024-04-14T03:11:26Z |
| format | Article |
| id | doaj.art-369b0dd0754a43e09a5d10ce17198a21 |
| institution | Directory Open Access Journal |
| issn | 2666-1543 |
| language | English |
| last_indexed | 2024-04-14T03:11:26Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Agriculture and Food Research |
| spelling | doaj.art-369b0dd0754a43e09a5d10ce17198a212022-12-22T02:15:35ZengElsevierJournal of Agriculture and Food Research2666-15432022-09-019100338Aromaticity of secondary products as the marker for sweet sorghum [Sorghum bicolor (L.) Moench] genotype and environment effectsMinori Uchimiya0USDA-ARS Southern Regional Research Center, 1100 Allen Toussaint Boulevard, New Orleans, LA, 70124, USAAlthough data analytics and systems modeling are increasingly being utilized to interpret genotype × environment interactions in plant breeding, chemometrics is currently underutilized. Prior reports indicated correlations between redox-active polyphenols in stem juice of sweet sorghum [Sorghum bicolor (L.) Moench] and its resistance against sugarcane aphid [Melanaphis sacchari (Zehntner)]. However, such correlations are often confounded by the outperforming genotype (outlier in correlations) capable of accumulating several-fold higher secondary metabolites than other cultivars examined. To investigate the underlying chemical characteristics responsible for the pest resistance, this study first employed principal component analysis (PCA) as the exploratory analysis to visualize the primary factors affecting genotype and environmental (April, May, and June planting months) dependence of juice extracted from 24 sweet sorghum cultivars. Chemical parameters arising from redox reactivity were primarily responsible for distinguishing a resistant genotype. The distance of dendrogram based on the genotype-dependent electrochemistry (cyclic voltammetry) was then used as the perturbation parameter in 2D correlation analysis to understand the controlling chemical structures; both genotype and environment were controlled by the redox reactivity and aromaticity of sweet sorghum. Aromatic structures detectable by UV/visible spectrophotometry were then used to build calibrations based on machine learning. The workflow of data analytics in this study could be applied to expedite the biomarker-driven plant breeding without repeating chemical analysis of new field samples.http://www.sciencedirect.com/science/article/pii/S2666154322000710PhytochemicalsData miningSugar cropsInsect pestFluorescence |
| spellingShingle | Minori Uchimiya Aromaticity of secondary products as the marker for sweet sorghum [Sorghum bicolor (L.) Moench] genotype and environment effects Journal of Agriculture and Food Research Phytochemicals Data mining Sugar crops Insect pest Fluorescence |
| title | Aromaticity of secondary products as the marker for sweet sorghum [Sorghum bicolor (L.) Moench] genotype and environment effects |
| title_full | Aromaticity of secondary products as the marker for sweet sorghum [Sorghum bicolor (L.) Moench] genotype and environment effects |
| title_fullStr | Aromaticity of secondary products as the marker for sweet sorghum [Sorghum bicolor (L.) Moench] genotype and environment effects |
| title_full_unstemmed | Aromaticity of secondary products as the marker for sweet sorghum [Sorghum bicolor (L.) Moench] genotype and environment effects |
| title_short | Aromaticity of secondary products as the marker for sweet sorghum [Sorghum bicolor (L.) Moench] genotype and environment effects |
| title_sort | aromaticity of secondary products as the marker for sweet sorghum sorghum bicolor l moench genotype and environment effects |
| topic | Phytochemicals Data mining Sugar crops Insect pest Fluorescence |
| url | http://www.sciencedirect.com/science/article/pii/S2666154322000710 |
| work_keys_str_mv | AT minoriuchimiya aromaticityofsecondaryproductsasthemarkerforsweetsorghumsorghumbicolorlmoenchgenotypeandenvironmenteffects |