SAMPLING SYSTEMS FOR THE BIRCH CASEBEARER (LEPIDOPTERA: COLEOPHORIDAE)

1979 ◽  
Vol 111 (8) ◽  
pp. 875-882
Author(s):  
A. G. Raske ◽  
M. Alvo
Keyword(s):  
Maximum Likelihood ◽  
Sampling Plan ◽  
New Method ◽  
Betula Papyrifera ◽  
White Birch ◽  
Destructive Sampling ◽  
Damage Level ◽  
Sampling Systems ◽  
Non Destructive ◽  
Maximum Likelihood Technique

AbstractSample sizes needed to measure population levels of the birch casebearer, Coleophora fuscedinella Zeller, and its damage to white birch, Betula papyrifera Marsh, were calculated for various degrees of confidence and assurance. Both a non-destructive and a destructive sampling plan are presented and a new method to classify the damage level of a stand. This method uses a maximum likelihood technique to estimate the proportion of trees of various damage classes.

Duplex DNA barcoding allows accurate species determination of morphologically similar limpets (Patella spp.) from non-destructive sampling

2016 ◽  
Vol 97 (7) ◽  
pp. 1479-1482 ◽  
Author(s):  
Thomas J. Ashton ◽  
Meriem Kayoueche-Reeve ◽  
Andrew J. Blight ◽  
Jon Moore ◽  
David M. Paterson
Keyword(s):  
Dna Barcoding ◽  
Species Abundance ◽  
Microscopic Analysis ◽  
Cost Effective ◽  
Field Studies ◽  
Similar Species ◽  
Species Determination ◽  
Destructive Sampling ◽  
Species Specific ◽  
Non Destructive

Accurate discrimination of two morphologically similar species of Patella limpets has been facilitated by using qPCR amplification of species-specific mitochondrial genomic regions. Cost-effective and non-destructive sampling is achieved using a mucus swab and simple sample lysis and dilution to create a PCR template. Results show 100% concurrence with dissection and microscopic analysis, and the technique has been employed successfully in field studies. The use of highly sensitive DNA barcoding techniques such as this hold great potential for improving previously challenging field assessments of species abundance.

Statistically optimal event detection using small array data

1990 ◽  
Vol 80 (6B) ◽  
pp. 1934-1950 ◽  
Author(s):  
A. F. Kushnir ◽  
V. M. Lapshin ◽  
V. I. Pinsky ◽  
J. Fyen
Keyword(s):  
Maximum Likelihood ◽  
Power Spectrum ◽  
Event Detection ◽  
Underground Explosion ◽  
Seismic Signals ◽  
Array Data ◽  
On Line ◽  
Small Array ◽  
Maximum Likelihood Technique ◽  
Channel Filter

Abstract A generalization of Capon's maximum-likelihood technique for detection and estimation of seismic signals is introduced. By using a multi-dimensional autoregressive approximation of seismic array noise, we have developed a technique to use Capon's multi-channel filter for on-line processing. Such autoregressive adaptation to the curent noise matrix power spectrum is shown to yield good suppression of mutually correlated array noise processes. As an example, this technique is applied to detection of a small Semipalatinsk underground explosion recorded at the ARCESS array.

scholarly journals Recommendation of non-destructive sampling method for density estimation of the Eucalyptus wood

2019 ◽  
pp. 0-0
Author(s):  
Franciane Andrade de Pádua ◽  
João Otávio Poletto Tomeleri ◽  
Mariana Pires Franco ◽  
José Reinaldo Moreira da Silva ◽  
Paulo Fernando Trugilho
Keyword(s):  
Density Estimation ◽  
Sampling Method ◽  
Destructive Sampling ◽  
Eucalyptus Wood ◽  
Non Destructive

scholarly journals Comparison between Different Rotary Mowing Systems: Testing a New Method to Calculate Turfgrass Mowing Quality

Agriculture ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. 152
Author(s):  
Michel Pirchio ◽  
Marco Fontanelli ◽  
Fabio Labanca ◽  
Christian Frasconi ◽  
Luisa Martelloni ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Poor Quality ◽  
New Method ◽  
Damage Level ◽  
Visual Rating ◽  
Turf Quality ◽  
Innovative Method ◽  
Full Throttle ◽  
Nitrogen Rates

Poor quality in turfgrass mowing is highlighted by the shredded leaf tips with necrotic tissues that give an unsightly brownish colour to the turf and may also lead to turf disease. Mowing quality is also typically assessed by visual rating, thus the score depends on the person doing the assessment. To make the evaluation of mowing quality not subjective, an innovative method was developed. The aim of the trial was to examine the effects of different mowing systems and two different nitrogen rates (100 and 200 kg ha−1) on two turfgrass species in order to test the new mowing quality calculation. Three different mowing systems were used: a battery-powered rotary mower set at 3000 rpm and 5000 rpm respectively and a gasoline-powered rotary mower set at full throttle. The battery-powered mower at low blade rpm produced a poorer mowing quality and turf quality than the gasoline-powered mower and battery-powered mower at high rpm, which produced a similar mowing quality and turf quality. Leaf tip damage level values showed a significant correlation with the results of the visual mowing quality assessment. Lower leaf tip damage level values (slightly above 1) corresponded to higher visual mowing quality scores (around 8).

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