逆境模擬及植物生長監(jiān)測系統(tǒng) PlantArray

逆境模擬及植物生長監(jiān)測系統(tǒng)是一套高通量，以植物生理學為基礎的高精度表型系統(tǒng)，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(nèi)所有植物的監(jiān)測數(shù)據(jù)，實時監(jiān)控和及時調(diào)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(tǒng)的主要優(yōu)點:

生理學特征的監(jiān)測和數(shù)據(jù)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(zhì)）；

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(xiàn)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(tǒng)計分析-為了數(shù)據(jù)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(shù)；

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(xiàn)生理參數(shù)與環(huán)境條件的空間和時間關(guān)系，顯示趨勢、異常和比率。

       逆境模擬及植物生長監(jiān)測系統(tǒng)的應用領(lǐng)域:

非生物逆境脅迫研究，比如：干旱、淹水、營養(yǎng)、有毒物質(zhì)等脅迫研究；

在農(nóng)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(shù):

      逆境模擬及植物生長監(jiān)測系統(tǒng)的技術(shù)參數(shù):

l  PIU單元含有3個數(shù)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(jù)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(jù)植物生長時間或生長容器重量選擇灌溉模式，灌溉系統(tǒng)采用以色列精準的滴灌系統(tǒng)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(shù)；

      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：

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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

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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).

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