scholarly journals High-Throughput Non-destructive Phenotyping of Traits that Contribute to Salinity Tolerance in Arabidopsis thaliana

2016 ◽  
Vol 7 ◽  
Author(s):  
Mariam Awlia ◽  
Arianna Nigro ◽  
Jiří Fajkus ◽  
Sandra M. Schmoeckel ◽  
Sónia Negrão ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Salinity Tolerance ◽  
High Throughput ◽  
Non Destructive

scholarly journals Mapping the osmotic component of salinity tolerance in Arabidopsis thaliana

2015 ◽  
Author(s):  
Mariam Awlia ◽  
Mark Tester
Keyword(s):  
Arabidopsis Thaliana ◽  
Salt Stress ◽  
Salinity Tolerance ◽  
High Throughput ◽  
Imaging Techniques ◽  
Early Response ◽  
Photochemical Quenching ◽  
Tolerance Index ◽  
Contributing Factors ◽  
Model Plant Arabidopsis Thaliana

Salt stress significantly reduces plant growth, as well as crop yield, and is becoming an increasing problem with the growing presence of salt-affected and arid land. To enhance and better understand the mechanisms of salinity tolerance, we propose to dissect the early responses to salinity. This early response phase is termed the osmotic component of salinity tolerance (sensu Munns & Tester, 2008), which has been further described as the shoot ion independent tolerance (Roy et al., 2014). High throughput and non-destructive imaging techniques have been utilised to discover the genes affecting the osmotic component of salinity tolerance in the model plant Arabidopsis thaliana. Non-invasive phenotyping can capture multiple growth measurements and other phenotypic parameters upon imposition of salt stress, enabling quantification of “osmotic tolerance”. Doing this for members of association mapping populations enables the identification of quantitative trait loci (QTL), and ultimately genes, underlying the shoot ion independent tolerance, thus, providing insights into the controlling processes. By testing the high-throughput phenotyping system at Photon Systems Instruments (PSI), we have been able to optimise the GWAS experimental design and select the most promising parameters that best illustrate the salt effect in the early shoot ion independent phase. The acquired data from these experiments will be presented, including general observations on the shoot ion independent tolerance index and other contributing factors such as changes in leaf colour, rosette temperature and non-photochemical quenching. The analysis of these datasets has facilitated for us to design a GWAS experiment using 350 Arabidopsis accessions that will be evaluated in terms of their shoot ion independent response.

scholarly journals The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4550
Author(s):  
Huajian Liu ◽  
Brooke Bruning ◽  
Trevor Garnett ◽  
Bettina Berger
Keyword(s):  
Hyperspectral Imaging ◽  
High Throughput ◽  
Management Practices ◽  
Leaf Tissue ◽  
Plant Phenotyping ◽  
Proximal Sensing ◽  
N Content ◽  
Hyperspectral Sensors ◽  
Wheat Leaves ◽  
Non Destructive

The accurate and high throughput quantification of nitrogen (N) content in wheat using non-destructive methods is an important step towards identifying wheat lines with high nitrogen use efficiency and informing agronomic management practices. Among various plant phenotyping methods, hyperspectral sensing has shown promise in providing accurate measurements in a fast and non-destructive manner. Past applications have utilised non-imaging instruments, such as spectrometers, while more recent approaches have expanded to hyperspectral cameras operating in different wavelength ranges and at various spectral resolutions. However, despite the success of previous hyperspectral applications, some important research questions regarding hyperspectral sensors with different wavelength centres and bandwidths remain unanswered, limiting wide application of this technology. This study evaluated the capability of hyperspectral imaging and non-imaging sensors to estimate N content in wheat leaves by comparing three hyperspectral cameras and a non-imaging spectrometer. This study answered the following questions: (1) How do hyperspectral sensors with different system setups perform when conducting proximal sensing of N in wheat leaves and what aspects have to be considered for optimal results? (2) What types of photonic detectors are most sensitive to N in wheat leaves? (3) How do the spectral resolutions of different instruments affect N measurement in wheat leaves? (4) What are the key-wavelengths with the highest correlation to N in wheat? Our study demonstrated that hyperspectral imaging systems with satisfactory system setups can be used to conduct proximal sensing of N content in wheat with sufficient accuracy. The proposed approach could reduce the need for chemical analysis of leaf tissue and lead to high-throughput estimation of N in wheat. The methodologies here could also be validated on other plants with different characteristics. The results can provide a reference for users wishing to measure N content at either plant- or leaf-scales using hyperspectral sensors.

Rapid, Microscale, Acetyl Bromide-Based Method for High-Throughput Determination of Lignin Content in Arabidopsis thaliana

2008 ◽  
Vol 56 (16) ◽  
pp. 6825-6834 ◽  
Author(s):  
Xue Feng Chang ◽  
Richard Chandra ◽  
Thomas Berleth ◽  
Rodger P. Beatson
Keyword(s):  
Arabidopsis Thaliana ◽  
High Throughput ◽  
Lignin Content ◽  
Acetyl Bromide

High-throughput genetic mapping in Arabidopsis thaliana

1999 ◽  
Vol 261 (2) ◽  
pp. 408-415 ◽  
Author(s):  
M. R. Ponce ◽  
P. Robles ◽  
J. L. Micol
Keyword(s):  
Arabidopsis Thaliana ◽  
Genetic Mapping ◽  
High Throughput

Prediction of Stilbene Content from Heartwood Increment Cores of Scots Pine Using near Infrared Spectroscopy Methodology

2016 ◽  
Vol 24 (6) ◽  
pp. 517-528 ◽  
Author(s):  
Susanna Pulkka ◽  
Vincent Segura ◽  
Anni Harju ◽  
Tarja Tapanila ◽  
Johanna Tanner ◽  
...  
Keyword(s):  
Scots Pine ◽  
High Throughput ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Tree Breeding ◽  
Decay Resistance ◽  
Increment Core ◽  
Automatic Selection ◽  
Non Destructive ◽  
Selection Of

High-throughput and non-destructive methods for quantifying the content of the stilbene compounds of Scots pine ( Pinus sylvestris L.) heartwood are needed in the breeding for decay resistance of heartwood timber. In this study, near infrared (NIR) spectroscopy calibrations were developed for a large collection of solid heartwood increment core samples in order to predict the amount of the stilbene pinosylvin (PS), its monomethyl ether (PSM) and their sum (STB). The resulting models presented quite accurate predictions in an independent validation set with R2V values ranging between 0.79 and 0.91. The accuracy of the models strongly depended on the chemical being calibrated, with the lowest accuracy for PS, intermediate accuracy for PSM and highest accuracy for STB. The effect of collecting one, two or more (up to five) spectra per sample on the calibration models was studied and it was found that averaging multiple spectra yielded better accuracy as it may account for the heterogeneity of wood along the increment core within and between rings. Several statistical pretreatments of the spectra were tested and an automatic selection of wavenumbers prior to calibration. Without the automatic selection of wavenumbers, a first derivative of normalised spectra yielded the best accuracies, whereas after the automatic selection of wavenumbers, no particular statistical pretreatment appeared to yield better results than any other. Finally, the automatic selection of wavenumbers slightly improved the accuracy of the models for all traits. These results demonstrate the potential of NIR spectroscopy as a high-throughput and non-destructive phenotyping technique in tree breeding for the improvement of decay resistance in heartwood timber.

Interaction network of antimicrobial peptides of Arabidopsis thaliana, based on high-throughput yeast two-hybrid screening

2012 ◽  
Vol 58 ◽  
pp. 245-252 ◽  
Author(s):  
Coralie Damon ◽  
Julia Dmitrieva ◽  
Yordan Muhovski ◽  
Frédéric Francis ◽  
Laurence Lins ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Antimicrobial Peptides ◽  
High Throughput ◽  
Interaction Network ◽  
Yeast Two Hybrid ◽  
Two Hybrid ◽  
Hybrid Screening
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