逆境模擬及植物生長監(jiān)測系統 PlantArray
逆境模擬及植物生長監(jiān)測系統是一套高通量,以植物生理學為基礎的高精度表型系統,可以完成整個植物生長周期中不同環(huán)境下的SPAC因子的測量。連續(xù)不間斷的獲取陣列內所有植物的監(jiān)測數據,實時監(jiān)控和及時調整每個培養(yǎng)容器中的土壤條件,包含土壤水分、鹽分。
Israeli Center of Research Excellence facility in Rehovot
逆境模擬及植物生長監(jiān)測系統的主要優(yōu)點:
生理學特征的監(jiān)測和數據高通量分析,如生長速率、蒸騰速率、水分利用率、氣孔導度等特征;
連續(xù)控制不同的土壤和水分環(huán)境(如干旱、鹽分或化學物質);
理想的實驗平臺:
全自動;
均一檢測;
適用于不同類型植物;
精確測量;
非破壞性;
實現隨機分組實驗設計;
3-4周的實驗相當于4-6個月的人工工作;
操作簡單,維護費用幾可忽略;
靈活的設計能夠滿足任何溫室中不同方面的科學研究需求。
實時統計分析-為了數據的可靠快速分析,提供多階乘ANOVA或配對T檢驗;
實驗目的-在實驗運行中為了確保處理的效果可以獲取優(yōu)化的實驗參數;
快速定量選擇-提供植物對于不同環(huán)境需求生理反應的評級和評分的簡況;
復雜實驗通過簡要圖像呈現生理參數與環(huán)境條件的空間和時間關系,顯示趨勢、異常和比率。
逆境模擬及植物生長監(jiān)測系統的應用領域:
非生物逆境脅迫研究,比如:干旱、淹水、營養(yǎng)、有毒物質等脅迫研究;
在農作物、蔬菜、樹木、藥用植物、燃料作物等方面的育種研究;
根系的土壤穿透力、水通量研究;
生物激素與養(yǎng)分研究;
生理生態(tài)學研究等。
測量參數:
直接測量參數: | ||
重量 | 空氣濕度 | 空氣溫度 |
輻射(PAR) | 氣壓 | 土壤水分 |
土壤電導率 | 土壤溫度 | 日蒸騰 |
計算參數: | ||
植物生物量增益 | 日蒸騰 | 水分利用效率 |
氣孔導度 | 抗脅迫因子 | 水分相對含量 |
根穿透力 | 根系水通量 | VPD |
逆境模擬及植物生長監(jiān)測系統的技術參數:
l PIU單元含有3個數字通道、1個模擬通道、1個稱重式蒸滲儀通道,所有的傳感器可以同時連續(xù)工作;
l 德國高精度稱重模塊,最大測重量50kg(測量范圍根據具體配置而定),測量精確度±0.02%稱重量;
l 植物生長容器滿足多種植物的生長需求,容積1.5-60L,具有防漏水、濺水設計;
l 可以根據植物生長時間或生長容器重量選擇灌溉模式,灌溉系統采用以色列精準的滴灌系統控制,能夠精確的控制澆水、施肥或施加生物激素的量;
l 土壤類、氣象類傳感器選擇美國高精度傳感器測量土壤含水量、溫度、電導率,空氣溫濕度、PAR、氣壓等參數;
應用案例
生物刺激劑在充分灌溉和干旱條件下對甜椒的定量研究
代表文獻:
1. Alemu, M. D. et. al., (2024) Dynamic physiological response of tef to contrasting water availabilities Front. Plant Sci. Frontiers. DOI: 10.3389/fpls.2024.1406173,
2. Paul, M. et. al., (2024), Precision phenotyping of a barley diversity set reveals distinct drought response strategies Front. Plant Sci. Frontiers. DOI: 10.3389/fpls.2024.1393991,
3. Jiang. R. et. al., (2024) Leveraging "golden-hour" WUE for developing superior vegetable varieties with optimal water-saving and growth traits Vegetable Research. DOI: 10.48130/vegres-0024-0001
4. Dewi, E.S. et al. (2023) Agronomic and Physiological Traits Response of Three Tropical Sorghum (Sorghum bicolor L.) Cultivars to Drought and Salinity Agronomy, 13(11), p. 2788. DOI: 10.3390/agronomy13112788.
5. Kahit Itzhak, et. al., (2023) Sounds emitted by plants under stress are airborne and informative Cell. DOI: 10.1016/j.cell.2023.03.009
6. Yaara, A. et. al., (2023) Leaf hydraulic maze: Abscisic acid effects on bundle sheath, palisade, and spongy mesophyll conductance. Plant Physiology. DOI: 10.1093/kiad372
7. Fang, P. et. al., (2023) Understanding water conservation vs. profligation traits in vegetable legumes through a physio-transcriptomic-functional approach Horticulture Research, DOI: 10.1093/hr/uhac287
8. Negin, B. et. al., (2022) Tree tobacco (Nicotiana glauca) cuticular wax composition is essential for leaf retention during drought, facilitating a speedy recovery following rewatering New Phytologist DOI: 10.1111/nph.18615
9. Markovich, O et. al., (2022) Low Si combined with drought causes reduced transpiration in sorghum Lsi1 mutant Plant Soil DOI: 10.1007/s11104-022-05298-4
10. Mishra R. et. al., (2021) Interplay between abiotic (drought) and biotic (virus) stresses in tomato plants Molecular Plant Pathology DOI: 10.1111/mpp.13172
11. Shahar Weksler et. al., (2021) Continuous seasonal monitoring of nitrogen and water content in lettuce using a dual phenomics system Jornal of Experimental Botany DOI: 10.1093/jxb/erab561
12. Xinyi Wu. et al. Unraveling the Genetic Architecture of Two Complex, Stomata-Related Drought-Responsive Traits by High-Throughput Physiological Phenotyping and GWAS in Cowpea. Frontiers in Genetics, 743758(2021)
13. AK Pandey. et al. Functional physiological phenotyping with functional mapping: a general framework to bridge the phenotype-genotype gap in plant physiology. iScience, 102846(2021).
14. Yanwei Li. et al. High-Throughput physiology-based stress response phenotyping: Advantages, applications and prospective in horticultural plants. Horticultural Plant Journal (2020)
15. Weksler, S. et al. A Hyperspectral-Physiological Phenomics System: Measuring Diurnal Transpiration Rates and Diurnal Reflectance. Remote Sensing 12, 1493 (2020).
16. Illouz-Eliaz, N. et al. Mutations in the tomato gibberellin receptors suppress xylem proliferation and reduce water loss under water-deficit conditions. Journal of Experimental Botany (2020).
17. Dalal, A. et al. A High Throughput Gravimetric Phenotyping Platform for Real Time Physiological Screening of Plant Environment Dynamic Responses. bioRxiv (2020).
18 . Yaaran, A., Negin, B. & Moshelion, M. Role of guard-cell ABA in determining steady-state stomatal aperture and prompt vapor-pressure-deficit response. Plant Science 281, 31-40, doi:https://doi.org/10.1016/j.plantsci.2018.12.027 (2019).
19 . Illouz-Eliaz, N. et al. Multiple Gibberellin Receptors Contribute to Phenotypic Stability under Changing Environments. The Plant Cell 31, 1506, doi:10.1105/tpc.19.00235 (2019).
20 . Gosa, S. C., Lupo, Y. & Moshelion, M. Quantitative and comparative analysis of whole-plant performance for functional physiological traits phenotyping: New tools to support pre-breeding and plant stress physiology studies. Plant Science 282, 49-59, doi:https://doi.org/10.1016/j.plantsci.2018.05.008 (2019).
21 . Dalal, A. et al. Dynamic Physiological Phenotyping of Drought-stressed Pepper Plants Treated with'Productivity-Enhancing’and'Survivability-Enhancing’Biostimulants. Frontiers in Plant Science 10, 905 (2019).
22 . Dalal, A. et al. A High-Throughput Physiological Functional Phenotyping System for Time-and Cost-Effective Screening of Potential Biostimulants. bioRxiv, 525592 (2019).
23 . Galkin, E. et al. Risk‐management strategies and transpiration rates of wild barley in uncertain environments. Physiologia plantarum (2018).
24 . Yaaran, A., Negin, B. & Moshelion, M. Role of guard-cell ABA in determining maximal stomatal aperture and prompt vapor-pressure-deficit response. bioRxiv, 218719 (2017).
25 . Nir, I. et al. The tomato DELLA protein PROCERA acts in guard cells to promote stomatal closure. The Plant Cell, tpc. 00542.02017 (2017).
以色列 Plant-Ditech