scholarly journals High Throughput Screening of Elite Loblolly Pine Families for Chemical and Bioenergy Traits with Near Infrared Spectroscopy

Forests ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 418
Author(s):  
Gifty Acquah ◽  
Brian Via ◽  
Tom Gallagher ◽  
Nedret Billor ◽  
Oladiran Fasina ◽  
...  
Keyword(s):  
High Throughput ◽  
Loblolly Pine ◽  
Environmental Sustainability ◽  
High Throughput Screening ◽  
Near Infrared ◽  
The United States ◽  
P Value ◽  
Cellulose Content ◽  
Forest Sites ◽  
Chemical Traits

Pinus taeda L. (loblolly pine) dominates 13.4 million ha of US southeastern forests and contributes over $30 billion to the economy of the region. The species will also form an important component of the renewable energy portfolio as the United States seeks national and energy security as well as environmental sustainability. This study employed NIR-based chemometric models as a high throughput screening tool to estimate the chemical traits and bioenergy potential of 351 standing loblolly pine trees representing 14 elite genetic families planted on two forest sites. The genotype of loblolly pine families affected the chemical, proximate and energy traits studied. With a range of 36.7% to 42.0%, the largest genetic variation (p-value < 0.0001) was detected in the cellulose content. Furthermore, although family by site interactions were significant for all traits, cellulose was the most stable across the two sites. Considering that cellulose content has strong correlations with other properties, selecting and breeding for cellulose could generate some gains.

scholarly journals A Near‐Infrared Organic Fluorescent Probe for Broad Applications for Blood Vessels Imaging by High‐Throughput Screening via 3D‐Blood Vessel Models (Small Methods 8/2021)

Small Methods ◽  
2021 ◽  
Vol 5 (8) ◽  
pp. 2170036
Author(s):  
Muhammad Asri Abdul Sisak ◽  
Fiona Louis ◽  
Ichio Aoki ◽  
Sun Hyeok Lee ◽  
Young‐Tae Chang ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Blood Vessels ◽  
Fluorescent Probe ◽  
High Throughput ◽  
High Throughput Screening ◽  
Near Infrared

scholarly journals Hypothesis Testing in High-Throughput Screening for Drug Discovery

2012 ◽  
Vol 17 (4) ◽  
pp. 519-529 ◽  
Author(s):  
Michael Prummer
Keyword(s):  
Drug Discovery ◽  
High Throughput ◽  
High Throughput Screening ◽  
Large Scale ◽  
Single Point ◽  
Error Rates ◽  
P Value ◽  
Distribution Analysis ◽  
Use Of Resources ◽  
Compound Screening

Following the success of small-molecule high-throughput screening (HTS) in drug discovery, other large-scale screening techniques are currently revolutionizing the biological sciences. Powerful new statistical tools have been developed to analyze the vast amounts of data in DNA chip studies, but have not yet found their way into compound screening. In HTS, characterization of single-point hit lists is often done only in retrospect after the results of confirmation experiments are available. However, for prioritization, for optimal use of resources, for quality control, and for comparison of screens it would be extremely valuable to predict the rates of false positives and false negatives directly from the primary screening results. Making full use of the available information about compounds and controls contained in HTS results and replicated pilot runs, the Z score and from it the p value can be estimated for each measurement. Based on this consideration, we have applied the concept of p-value distribution analysis (PVDA), which was originally developed for gene expression studies, to HTS data. PVDA allowed prediction of all relevant error rates as well as the rate of true inactives, and excellent agreement with confirmation experiments was found.

Near Infrared Chemical Imaging for High Throughput Screening of Food Bacteria

NIR news ◽  
2007 ◽  
Vol 18 (8) ◽  
pp. 4-6 ◽  
Author(s):  
Janie Dubois ◽  
E. Neil Lewis ◽  
Frederick S. Fry ◽  
Elizabeth M. Calvey
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Near Infrared ◽  
Chemical Imaging ◽  
Food Bacteria

A Near‐Infrared Organic Fluorescent Probe for Broad Applications for Blood Vessels Imaging by High‐Throughput Screening via 3D‐Blood Vessel Models

Small Methods ◽  
2021 ◽  
pp. 2100338
Author(s):  
Muhammad Asri Abdul Sisak ◽  
Fiona Louis ◽  
Ichio Aoki ◽  
Sun Hyeok Lee ◽  
Young‐Tae Chang ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Blood Vessels ◽  
Fluorescent Probe ◽  
High Throughput ◽  
High Throughput Screening ◽  
Near Infrared

scholarly journals Prediction of loblolly pine wood properties using transmittance near-infrared spectroscopy

2005 ◽  
Vol 35 (10) ◽  
pp. 2423-2431 ◽  
Author(s):  
Robert Sykes ◽  
Bailian Li ◽  
Gary Hodge ◽  
Barry Goldfarb ◽  
John Kadla ◽  
...  
Keyword(s):  
Loblolly Pine ◽  
Fiber Length ◽  
Near Infrared ◽  
Lignin Content ◽  
Nir Spectroscopy ◽  
Wood Properties ◽  
Cellulose Content ◽  
Nondestructive Technique ◽  
Wide Range ◽  
Calibration Equations

Near-infrared (NIR) spectroscopy is a rapid nondestructive technique that has been used to characterize chemical and physical properties of a wide range of materials. In this study, transmittance NIR spectra from thin wood wafers cut from increment cores were used to develop calibration models for the estimation of α-cellulose content, average fiber length, fiber coarseness, and lignin content in the laboratory. Eleven-year-old trees from two sites were sampled using 12-mm increment cores. Earlywood and latewood of ring 3 and ring 8 from these samples were analyzed in the laboratory using microanalytical methods for α-cellulose content, average fiber length, fiber coarseness, and lignin content. NIR calibrations and laboratory measurements based on one site were generally reliable, with coefficients of determination (R2) ranging from 0.54 to 0.88 for average fiber length and α-cellulose content, respectively. Predicting ring 8 properties using ring 3 calibration equations showed potential for predicting α-cellulose content and fiber coarseness, with R2 values of approximately 0.60, indicating the potential for early selection. Predicting the wood properties using the calibration equations from one site to predict another showed moderate success for α-cellulose content (R2 = 0.64) and fiber coarseness (R2 = 0.63), but predictions for fiber length were relatively poor (R2 = 0.43). Prediction of lignin content using transmittance NIR spectroscopy was not as reliable in this study, partially because of low variation in lignin content in these wood samples and large errors in measuring lignin content in the laboratory.

Near‐Infrared Imaging for High‐Throughput Screening of Moisture Induced Changes in Freeze‐Dried Formulations

2014 ◽  
Vol 103 (9) ◽  
pp. 2839-2846 ◽  
Author(s):  
Hjalte Trnka ◽  
Anna Palou ◽  
Pierre Emanuel Panouillot ◽  
Ari Kauppinen ◽  
Maunu Toiviainen ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Near Infrared Imaging ◽  
Freeze Dried ◽  
Induced Changes

High-throughput screening program for botanical extracts

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
L Hingorani ◽  
NP Seeram ◽  
B Ebersole
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Screening Program ◽  
Botanical Extracts
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