scholarly journals The BELT and phenoSEED platforms: shape and colour phenotyping of seed samples

2019 ◽  
Author(s):  
Keith Halcro ◽  
Kaitlin McNabb ◽  
Ashley Lockinger ◽  
Didier Socquet-Juglard ◽  
Kirstin E Bett ◽  
...  

AbstractBackgroundSeed analysis is currently a bottleneck in phenotypic analysis of seeds. Measurements are slow and imprecise with potential for bias to be introduced when gathered manually. New acquisition tools were requested to improve phenotyping efficacy with an emphasis on obtaining colour information.ResultsA portable imaging system (BELT) supported by image acquisition and analysis software (phenoSEED) was created for small-seed optical analysis. Lentil (Lens culinaris L.) phenotyping was used as the primary test case. Seeds were loaded into the system and all seeds in a sample were automatically and individually imaged to acquire top and side views as they passed through an imaging chamber. A Python analysis script applied a colour calibration and extracted quantifiable traits of seed colour, size and shape. Extraction of lentil seed coat patterning was implemented to further describe the seed coat. The use of this device was forecasted to eliminate operator biases, increase the rate of acquisition of traits, and capture qualitative information about traits that have been historically analyzed by eye.ConclusionsIncreased precision and higher rates of data acquisition compared to traditional techniques will help breeders to develop more productive cultivars. The system presented is available as an open-source project for academic and non-commercial use.

2000 ◽  
Vol 51 (1) ◽  
pp. 85 ◽  
Author(s):  
C. J. Lambrides ◽  
B. C. Imrie

Twenty-six mungbean varieties and accessions were screened for resistance to 4 bruchid species (Coleoptera : Chrysomelidae). On the basis of the percentage of seeds damaged all Australian commercial mungbean varieties tested here were highly susceptible to strains of Callosobruchus maculatus and C. chinensis, the 2 species that cause most damage worldwide to mungbean in storage. In addition, 3 accessions of wild mungbean appeared to have bruchid resistance. The texture layer present on the seed coat of some mungbean varieties and small seed size may act as oviposition deterrents. Consequently, these assays for determining resistance to bruchid infestation may not be suitable for identifying biochemical resistance of some mungbean genotypes.


2002 ◽  
Vol 82 (1) ◽  
pp. 103-104 ◽  
Author(s):  
A. Vandenberg ◽  
F. A. Kiehn ◽  
C. Vera ◽  
R. Gaudiel ◽  
L. Buchwaldt ◽  
...  

CDC Glamis is a high-yielding, yellow cotyledon lentil (Lens culinaris Medik.) cultivar developed by the Crop Development Centre, University of Saskatchewan. It is intended for cultivation in all lentil production areas of western Canada. It has large seeds with green seed coat and is suitable for the large green market class of lentil. CDC Glamis wa s issued registration #4835 on 8 December 1998 by the Variety Section, Plant Health and Plant Products Division, Canadian Food Inspection Agency. Key words: Lentil, cultivar description, Lens culinaris


1999 ◽  
Vol 5 (S2) ◽  
pp. 1238-1239
Author(s):  
R. Underwood ◽  
L. Muffley ◽  
H. Predd ◽  
M. Piepkorn ◽  
J. Olerud

The Derm Imaging Center uses various light and electron microscopic techniques to determine meaningful morphologic differences in skin samples received from multiple investigators. Qualitative comparisons required laborious hand measurements, which, in time gave way to computer assisted image capture, enhancement and analysis. The ability to attach a numerical value to a morphologic observation has made quantification an expected component of the experimental results. Laboratory personnel are now spending more time in front of computers than microscopes. This fact prompted a reevaluation of our current methods resulting in a faster, user-friendly computer assisted imaging system.One software program that has become ubiquitous within the field of scientific imaging is Adobe® Photoshop®. Although a multitude of different image capture and analysis software programs are in use, a version of Photoshop® can invariably be found residing in most laboratories involved in imaging. A disadvantage of many image analysis software programs is the lack of image enhancement capability that we have grown to know and love within the Photoshop® environment.


Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4577
Author(s):  
Florentin Delaine ◽  
Bérengère Lebental ◽  
Hervé Rivano

The drastically increasing availability of low-cost sensors for environmental monitoring has fostered a large interest in the literature. One particular challenge for such devices is the fast degradation over time of the quality of their data. Therefore, the instruments require frequent calibrations. Traditionally, this operation is carried out on each sensor in dedicated laboratories. This is not economically sustainable for dense networks of low-cost sensors. An alternative that has been investigated is in situ calibration: exploiting the properties of the sensor network, the instruments are calibrated while staying in the field and preferably without any physical intervention. The literature indicates there is wide variety of in situ calibration strategies depending on the type of sensor network deployed. However, there is a lack for a systematic benchmark of calibration algorithms. In this paper, we propose the first framework for the simulation of sensor networks enabling a systematic comparison of in situ calibration strategies with reproducibility, and scalability. We showcase it on a primary test case applied to several calibration strategies for blind and static sensor networks. The performances of calibration are shown to be tightly related to the deployment of the network itself, the parameters of the algorithm and the metrics used to evaluate the results. We study the impact of the main modelling choices and adjustments of parameters in our framework and highlight their influence on the results of the calibration algorithms. We also show how our framework can be used as a tool for the design of a network of low-cost sensors.


2021 ◽  
Author(s):  
Audrey Creff ◽  
Olivier Ali ◽  
Vincent Bayle ◽  
Gwyneth Ingram ◽  
Benoit Landrein

AbstractOrgan size depends on complex biochemical and mechanical interactions between cells and tissues. Here, we investigate the control of seed size, a key agronomic trait, by mechanical interactions between two compartments: the endosperm and the testa. By combining experiments with computational modelling, we tested an incoherent mechanical feedforward loop hypothesis in which pressure-induced stresses play two antagonistic roles; directly driving seed growth, but indirectly inhibiting it through mechanosensitive stiffening of the seed coat. We show that our model can recapitulate wild type growth patterns and explain the small seed phenotype of the haiku2 mutant. Our work further reveals that the developmental regulation of endosperm pressure is needed to prevent a precocious reduction of seed growth rate induced by force-dependent seed coat stiffening.


2013 ◽  
Vol 20 (3) ◽  
pp. 405-412 ◽  
Author(s):  
Brian E. Bewer

Analyzer-based imaging has improved tissue X-ray imaging beyond what conventional radiography was able to achieve. The extent of the improvement is dependent on the crystal reflection used in the monochromator and analyzer combination, the imaging photon energy, the geometry of the sample and the imaging detector. These many factors determine the ability of the system to distinguish between various bone tissues or soft tissues with a specified statistical certainty between pixels in a counting detector before any image processing. The following discussion will detail changes in the required number of imaging photons and the resulting surface absorbed dose when the imaging variables are altered. The process whereby the optimal imaging parameters to deliver the minimum surface absorbed dose to a sample while obtaining a desired statistical certainty between sample materials for an arbitrary analyzer-based imaging system will be described. Two-component samples consisting of bone and soft tissue are discussed as an imaging test case. The two-component approach will then be generalized for a multiple-component sample.


1986 ◽  
Vol 66 (2) ◽  
pp. 241-246 ◽  
Author(s):  
R. VAILLANCOURT ◽  
A. E. SLINKARD ◽  
R. D. REICHERT

In lentil (Lens culinaris Medik.) condensed tannins are responsible for seed coat darkening during storage and the associated reduction in crop quality. The vanillin-HCl method was used to measure tannin concentration. Tannins were present only in the seed coat. Tannin concentration in the seed coat of 87 lines from the USDA World Lentil Collection ranged from 35 to 93 g kg−1 and averaged 63.3 g kg−1. The zero-tannin trait of PI 345635 lentil was controlled by a single recessive gene (tan tan) that had pleiotropic effects on plant pigmentation and seed coat thickness. Heritability of tannin concentration among lines containing tannin was 66.4 ± 4.4%, based on the components of variance method. Selection for lower or higher tannin concentration in lentil should be effective.Key words: Lentil, tannin, tannin genetics, proanthocyanidin, Lens culinaris


2014 ◽  
Vol 50 (No. 2) ◽  
pp. 130-134 ◽  
Author(s):  
G. Suvorova

Cultivated lentil L. culinaris was crossed to the wild species L. tomentosus ILWL90 and ILWL120. An ovule rescue technique was used to overcome interspecific incompatibility. Out of 296 hybrid ovules being planted in vitro 27 explants began to grow and three hybrids were recovered. A hybrid between L. culinaris and L. tomentosus accession ILWL90 was obtained by means of ovule recovery only. F<sub>1</sub> plant and next generations of the hybrid were either sterile or partly fertile. Hybridization with L. tomentosus accession ILWL120 was achieved by ovule culture as well as in a usual way i.e. without ovule culture. Seed progenies of these hybrids were fertile in both cases. Breeding lines recombinant in flower, seed coat and cotyledon coloring were developed as a result of multiple regular selection for highly productive plants in F<sub>2</sub>&ndash;F<sub>7</sub> (L. culinaris &times; L. tomentosus ILWL120).


2002 ◽  
Vol 82 (1) ◽  
pp. 107-108 ◽  
Author(s):  
A. Vandenberg ◽  
F. A. Kiehn ◽  
C. Vera ◽  
R. Gaudiel ◽  
L. Buchwaldt ◽  
...  

CDC Sovereign is a high-yielding, yellow cotyledon lentil (Lens culinaris Medik.) cultivar developed by the Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan. It is intended for cultivation in all lentil-growing areas of western Canada. It has large, plump seeds with green seed coat, suitable for the large green market class of lentil. CDC Sovereign was issued registration #5019 on 26 November 1999 by the Variety Section, Plant Health and Plant Products Division, Canadian Food Inspection Agency. Key words: Lentil, cultivar description, Lens culinaris


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