A high efficiency CO2 concentration interval optimization method for lettuce growth
The decline in carbon fertilization effects has shifted scientific focus toward the efficient and suitable regulation of CO2 concentration ([CO2]) for plant growth. In this study, the rapid A/CO2 response curve (RAC) data of lettuce were analyzed statistically under nine photosynthetic photon flux d...
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| Published in | The Science of the total environment Vol. 879; p. 162731 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
25.06.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0048-9697 1879-1026 1879-1026 |
| DOI | 10.1016/j.scitotenv.2023.162731 |
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| Abstract | The decline in carbon fertilization effects has shifted scientific focus toward the efficient and suitable regulation of CO2 concentration ([CO2]) for plant growth. In this study, the rapid A/CO2 response curve (RAC) data of lettuce were analyzed statistically under nine photosynthetic photon flux densities (PPFDs) and four temperatures. An efficient CO2 supplementation interval acquisition method based on the frequency distribution characteristics of RACs was proposed. The characteristic subsections of jumping were obtained depending on the frequency distribution of RACs. The cumulative contribution rate (CCR) of the characteristic subsections were >97 %, which showed the efficiency of the method. Additionally, U-chord curvature theory was used to simultaneously obtain the optimal regulated [CO2] for the same RAC curves, and the results showed that the [CO2] obtained by U-chord length were all within the interval obtained by the method, which proved the rationality of the method. The [CO2] interval supplement improved the daily CO2 exchange rate by 20.27 % and 21.64 % at 150 and 200 μmol·m−2·s−1, and increased the lettuce fresh biomass by 26.78 % at 150 μmol·m−2·s−1. Based on the interval of [CO2] efficient utilization regulation at various temperatures and PPFDs, a genetic algorithm-support vector regression model was built with R2 of the model was >0.84 and the root mean square error was <35.2256 μmol·mol−1. In conclusion, the [CO2] interval obtained by this method has a positive effect on lettuce growth. This work provides a new method for obtaining high-efficiency supplementary concentration of CO2 during the growth of lettuce.
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•An efficient CO2 interval acquisition method was proposed.•The frequency distribution of RAC can find the efficient [CO2] supplementation.•The [CO2] obtained by U-chord length were all within the [CO2] interval.•The [CO2] interval obtained by this method has a positive effect on lettuce growth. |
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| AbstractList | The decline in carbon fertilization effects has shifted scientific focus toward the efficient and suitable regulation of CO2 concentration ([CO2]) for plant growth. In this study, the rapid A/CO2 response curve (RAC) data of lettuce were analyzed statistically under nine photosynthetic photon flux densities (PPFDs) and four temperatures. An efficient CO2 supplementation interval acquisition method based on the frequency distribution characteristics of RACs was proposed. The characteristic subsections of jumping were obtained depending on the frequency distribution of RACs. The cumulative contribution rate (CCR) of the characteristic subsections were >97 %, which showed the efficiency of the method. Additionally, U-chord curvature theory was used to simultaneously obtain the optimal regulated [CO2] for the same RAC curves, and the results showed that the [CO2] obtained by U-chord length were all within the interval obtained by the method, which proved the rationality of the method. The [CO2] interval supplement improved the daily CO2 exchange rate by 20.27 % and 21.64 % at 150 and 200 μmol·m−2·s−1, and increased the lettuce fresh biomass by 26.78 % at 150 μmol·m−2·s−1. Based on the interval of [CO2] efficient utilization regulation at various temperatures and PPFDs, a genetic algorithm-support vector regression model was built with R2 of the model was >0.84 and the root mean square error was <35.2256 μmol·mol−1. In conclusion, the [CO2] interval obtained by this method has a positive effect on lettuce growth. This work provides a new method for obtaining high-efficiency supplementary concentration of CO2 during the growth of lettuce.
[Display omitted]
•An efficient CO2 interval acquisition method was proposed.•The frequency distribution of RAC can find the efficient [CO2] supplementation.•The [CO2] obtained by U-chord length were all within the [CO2] interval.•The [CO2] interval obtained by this method has a positive effect on lettuce growth. The decline in carbon fertilization effects has shifted scientific focus toward the efficient and suitable regulation of CO2 concentration ([CO2]) for plant growth. In this study, the rapid A/CO2 response curve (RAC) data of lettuce were analyzed statistically under nine photosynthetic photon flux densities (PPFDs) and four temperatures. An efficient CO2 supplementation interval acquisition method based on the frequency distribution characteristics of RACs was proposed. The characteristic subsections of jumping were obtained depending on the frequency distribution of RACs. The cumulative contribution rate (CCR) of the characteristic subsections were >97 %, which showed the efficiency of the method. Additionally, U-chord curvature theory was used to simultaneously obtain the optimal regulated [CO2] for the same RAC curves, and the results showed that the [CO2] obtained by U-chord length were all within the interval obtained by the method, which proved the rationality of the method. The [CO2] interval supplement improved the daily CO2 exchange rate by 20.27 % and 21.64 % at 150 and 200 μmol·m-2·s-1, and increased the lettuce fresh biomass by 26.78 % at 150 μmol·m-2·s-1. Based on the interval of [CO2] efficient utilization regulation at various temperatures and PPFDs, a genetic algorithm-support vector regression model was built with R2 of the model was >0.84 and the root mean square error was <35.2256 μmol·mol-1. In conclusion, the [CO2] interval obtained by this method has a positive effect on lettuce growth. This work provides a new method for obtaining high-efficiency supplementary concentration of CO2 during the growth of lettuce.The decline in carbon fertilization effects has shifted scientific focus toward the efficient and suitable regulation of CO2 concentration ([CO2]) for plant growth. In this study, the rapid A/CO2 response curve (RAC) data of lettuce were analyzed statistically under nine photosynthetic photon flux densities (PPFDs) and four temperatures. An efficient CO2 supplementation interval acquisition method based on the frequency distribution characteristics of RACs was proposed. The characteristic subsections of jumping were obtained depending on the frequency distribution of RACs. The cumulative contribution rate (CCR) of the characteristic subsections were >97 %, which showed the efficiency of the method. Additionally, U-chord curvature theory was used to simultaneously obtain the optimal regulated [CO2] for the same RAC curves, and the results showed that the [CO2] obtained by U-chord length were all within the interval obtained by the method, which proved the rationality of the method. The [CO2] interval supplement improved the daily CO2 exchange rate by 20.27 % and 21.64 % at 150 and 200 μmol·m-2·s-1, and increased the lettuce fresh biomass by 26.78 % at 150 μmol·m-2·s-1. Based on the interval of [CO2] efficient utilization regulation at various temperatures and PPFDs, a genetic algorithm-support vector regression model was built with R2 of the model was >0.84 and the root mean square error was <35.2256 μmol·mol-1. In conclusion, the [CO2] interval obtained by this method has a positive effect on lettuce growth. This work provides a new method for obtaining high-efficiency supplementary concentration of CO2 during the growth of lettuce. The decline in carbon fertilization effects has shifted scientific focus toward the efficient and suitable regulation of CO₂ concentration ([CO₂]) for plant growth. In this study, the rapid A/CO₂ response curve (RAC) data of lettuce were analyzed statistically under nine photosynthetic photon flux densities (PPFDs) and four temperatures. An efficient CO₂ supplementation interval acquisition method based on the frequency distribution characteristics of RACs was proposed. The characteristic subsections of jumping were obtained depending on the frequency distribution of RACs. The cumulative contribution rate (CCR) of the characteristic subsections were >97 %, which showed the efficiency of the method. Additionally, U-chord curvature theory was used to simultaneously obtain the optimal regulated [CO₂] for the same RAC curves, and the results showed that the [CO₂] obtained by U-chord length were all within the interval obtained by the method, which proved the rationality of the method. The [CO₂] interval supplement improved the daily CO₂ exchange rate by 20.27 % and 21.64 % at 150 and 200 μmol·m⁻²·s⁻¹, and increased the lettuce fresh biomass by 26.78 % at 150 μmol·m⁻²·s⁻¹. Based on the interval of [CO₂] efficient utilization regulation at various temperatures and PPFDs, a genetic algorithm-support vector regression model was built with R² of the model was >0.84 and the root mean square error was <35.2256 μmol·mol⁻¹. In conclusion, the [CO₂] interval obtained by this method has a positive effect on lettuce growth. This work provides a new method for obtaining high-efficiency supplementary concentration of CO₂ during the growth of lettuce. |
| ArticleNumber | 162731 |
| Author | Chen, Danyan Lu, Youqi Zhang, Junhua Zhang, Zhongxiong Hu, Jin Zhang, Haihui |
| Author_xml | – sequence: 1 givenname: Danyan surname: Chen fullname: Chen, Danyan email: chendy@ahau.edu.cn organization: College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China – sequence: 2 givenname: Junhua surname: Zhang fullname: Zhang, Junhua email: zhangjunhua@ahau.edu.cn organization: College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China – sequence: 3 givenname: Zhongxiong surname: Zhang fullname: Zhang, Zhongxiong email: zzx9519@nwafu.edu.cn organization: College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China – sequence: 4 givenname: Youqi surname: Lu fullname: Lu, Youqi organization: College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China – sequence: 5 givenname: Haihui surname: Zhang fullname: Zhang, Haihui email: zhanghh@nwafu.edu.cn organization: College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China – sequence: 6 givenname: Jin surname: Hu fullname: Hu, Jin email: hujin007@nwafu.edu.cn organization: College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China |
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| Cites_doi | 10.1104/pp.18.00712 10.1038/ncomms13428 10.1007/s00366-019-00858-2 10.1111/pce.13206 10.1016/j.biosystemseng.2018.04.018 10.1111/pce.12911 10.21273/HORTSCI.46.2.158 10.1016/j.patcog.2020.107649 10.3390/su13105434 10.13031/aea.13091 10.1111/j.1469-8137.1985.tb02819.x 10.1046/j.1365-3040.1999.00408.x 10.1016/j.scienta.2022.110879 10.1111/pce.14178 10.1016/j.apor.2015.11.007 10.1007/s00500-020-05560-w 10.1049/iet-syb.2018.5064 10.1016/j.foodchem.2015.12.059 10.1016/j.scienta.2014.07.022 10.1111/gcb.13961 10.1016/j.envexpbot.2020.104326 10.1016/j.plantsci.2021.111118 10.1186/s12870-019-1788-9 10.1126/science.abb7772 10.1038/s41586-021-04096-9 10.1093/pcp/pci244 |
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| Keywords | R2 Interval regulation model Frequency distribution characteristics CO2 LED C.V RMSE GA-SVR Genetic algorithm-support vector regression eCO2 SD CCR RAC Rapid CO2 response curves PPFD Jumping EC Pn |
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| SubjectTerms | biomass carbon carbon dioxide environment frequency distribution Frequency distribution characteristics Genetic algorithm-support vector regression Interval regulation model Jumping lettuce photons photosynthesis plant growth Rapid CO2 response curves regression analysis system optimization |
| Title | A high efficiency CO2 concentration interval optimization method for lettuce growth |
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