Seed Vitality Determination Device—Q2
Date:2017-03-03 17:27:27

Main functions

The metabolism of seeds during germination can be automatically measured in 1.5 ml, 2 ml glass vials or in microplate (48/96-well plate).

Seed quality evaluation: Normal germination seeds, high oxygen consumption seeds, incomplete germination seeds, abnormal germination seeds, dormant seeds, and dead seeds can be automatically classified.


Measurement parameters

Oxygen consumption during seed germination under closed conditions.

The oxygen consumption curve is automatically generated, and germination start time (IMT), oxygen consumption rate (OMR), critical oxygen pressure (COP), theoretical germination time (RGT), temperature, etc. can be obtained.Statistical analysis of IMT, OMR, COP, RGT, etc. between seeds with different repetitions and different treatments can be performed.


Application areas

Rapid germination measurement

Seed Vitality

Standard monitoring of seed processing and treatment process

Seed initiation and other technologies screening

Assisted breeding

Seed inventory management

Seed bacteria and fungal contamination level check

Determination of seed consistency and seed germination uniformity


Main technical parameters

Measurement range: 0-100% O2

Accuracy: 0.0001 ppm

Distance from sensor to sample cover: 0-50 mm

Flux: Up to 1536 seed activity can be detected at one time every 15 minutes (oxygen consumption)


Purchase Guide:

Standard configuration:

Q2 Scan and read device (including heating function)

Small glass bottle fixing rack

Heat sealer

Zone 4 heating device



外观1.png外观2.png


Q2 Appearance (left: side; right: top)



Consumables:

1.5ml small glass bottle; 2.0ml small glass bottle; coated nuts; 48-well plate or 96-well plate; for 48-well plate or 96-well plate sealing ring.


Application case:

1.Seed Vitality Evaluation


应用案例1.png

Oxygen consumption curves for different physiological states

Each curve represents the oxygen consumption during the germination of a seed. The oxygen consumption curve of the dormant and more vibrant seeds is generally in an inverse S-shaped shape.



1_副本.jpgmtxx2.jpg
mtxx3.jpgmtxx4.jpg

Oxygen metabolism value related to oxygen consumption curve


According to the characteristics of the oxygen consumption curve, different oxygen metabolic values ​​can be set, including germination initiation time (IMT), oxygen consumption rate (OMR), critical oxygen pressure (COP), theoretical germination time (RGT), etc.IMT means that the oxygen consumption rate increases rapidly from the initial slow speed; OMR is the respiration rate between the slowing oxygen consumption rate after the seed radicle breaks through the seeds and the COP is when the respiration rate begins to slow down.Oxygen concentration, which reflects the seed's ability to withstand hypoxia stress; RGT is the theoretical germination time under non-hypoxia stress conditions.Generally speaking, the higher the seed vitality, the higher the OMR value, and the lower the IMT, COP and RGT values.


2.Seed priming method filtering


应用案例3.png


Seed-induced oxygen consumption curve



Compared with the control seeds, the oxygen consumption curve of the triggered and aged seeds has obvious characteristics, which is obviously ahead of the germination of the triggered seeds, and the germination of the aged seeds is obviously lagging behind.This technique can be used to screen the best seed initiation method.



3.Coating agent screening

Zhao Guangwu et al. used this technology to study the effects of different agent disinfection and different coating methods on the vitality of vegetable seeds. The results show that the oxygen consumption curve of vegetable seeds with good treatment effect did not change significantly compared with the control seeds, indicating that the treatmentGood-effect agents or coating agents have no toxic effects on vegetable seeds and can be used to treat seeds to improve the disease resistance, insect resistance and adversity of seedlings.

4.Photosynthesis research


应用案例4.png


Q2 Photosynthesis study



Put the leaves or small plants into microplate or reagent bottles (Figure 4ml plastic bottle) while providing an LED light source to study its photosynthesis through changes in oxygen in the bottle.





Origin: Astec, Netherlands



References

Johan Van Asbrouck, Patcharin Taridno (2009). Using the single seed oxygen consumption measurement as a method of determination of different seed quality parameters for commercial tomato seed samples. As. J. Food Ag-Ind, Special Issue, S88-S95.

Guang-wu Zhao, Tai-lin Zhong (2012). Improving the assessment method of seed vigor in Cunninghamia lanceolata and Pinus massoniana based on oxygen sensing technology. Journal of Forestry Research, 23(1), 95-101.

Guangwu Zhao, Linlin Yang, Jianhua Wang, Zhujun Zhu (2008). Studies on the rapid methods for evaluating seed vigor of sweet corn. International Conference on Computer and Computing Technologies in Agriculture II, 3,1729-1738.

Zhao GW, Cao DD, Chen HY, Ruan GH, Yang MJ (2013). A study on the rapid assessment of conventional rice seed vigour based on oxygen-sensing technology. Seed Science and Technology, 41(2), 257-269.

Bradford KJ, Bell op, F u JC, Barros M (2013). single-seed respiration: anew method to assess seed quality. seed science and technology, 41(3), 420-438.

Guangwu Zhao, Tailin Zhong (2013). Influence of exogenous IAA and GA on seed germination, vigor and their endogenous levels in Cunninghamia lanceolata. Scandinavian Journal of Forest Research, 28(6), 511-517.

Vinodkumars B, Hipparagi Yegappa, Sushma PP, Sooganna, Sunnadagudi Ramagondappa (2014). Non-Invasive Techniques for Seed Quality Analysis. Trends in Biosciences, 7(10), 838-845.

Guangwu Zhao, Xuwen Jiang (2014). Roles of Gibberellin and Auxin in Promoting Seed Germination and Seedling Vigor in Pinus massoniana. Forest Science, 60(2), 367-373.

João Alexandre Lopes Dranski, Artur Soares Pinto Júnior, Neusa Francisca Michelon Herzog, Ubirajara Contro Malavasi, Marlene de Matos Malavasi, Vandeir Francisco Guimarães (2013). Vigor of canola seeds through quantification of CO2emission. Ciência e Agrotecnologia, 37(3).



Collection