Rhizosphere and Root Colonization by Bacterial Inoculants and Their Monitoring Methods: A Critical Area in PGPR Research

A method and computer program ConRow, which prognostication of development of the dynamically CPLD economic transients is executed by, is described in the article. Such prognostication of economic processes is very important in the cases when their development can result in undesirable consequences, that to go out in the so-called critical area. Extrapolation in a critical area with the use of information about the conduct of the system at an area, near to it, allows to estimate to the lead through of experiment in the critical area of his consequence. For the imitation of conduct of object the function of review is set on entrance influence. For a concrete object this function can express, for example, dependence of change of level sale from time-history of charges on advertising and set as a numeral row. Statistics as a result of analysis of row are represented in a table, where the level of meaningfulness is set statistician, and also parameters of the handed over criteria. The graphic reflection of information is intended for visualization of analysis. Here represented on the points of graphic arts, the crooked smoothing which are calculated as полиномиальные regressions is added. The best approaching is controlled by sight on the proper graph, and also by minimization of their rms errors. Models of prognostication by sight and as formulas represented on graphic arts, the middle is here determined tailings and their chance is checked up on statistics of signs. After the got models determined also and prognosis values of influences and reviews. Establishing an order models of Сr(p) of co integrate regression is carried out separate custom controls. The coefficient of clay correlation of ruФ shows by itself pair correlation between lines with a successive change in relation to each other on a size to лагу of l = 1, 2, 3 . The program was tested on the example of ex-post prognosis at establishing an integration connection and possibility of prognostication of growth of nominal average monthly settlings on the basis of these statistical indexes of consumer inflation in Ukraine.

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Improved Monitoring Methods for Performance Assessment During Remediation of DNAPL Source Zones

10.21236/ada571375 ◽

2010 ◽

Author(s):

Robert Siegrist ◽

Ryan Oesterreich ◽

Leanna Woods ◽

Michele Crimi

Keyword(s):

Performance Assessment ◽

Monitoring Methods ◽

Source Zones

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Influence of Selected Endomycorrhizae from the Sonoran Desert and Glomus intraradices on Growth Response and Gas Exchange of Hibiscus rosa-sinensis L. cv. Leprechaun

HortScience ◽

10.21273/hortsci.33.3.501d ◽

1998 ◽

Vol 33 (3) ◽

pp. 501d-501

Author(s):

Jonathan N. Egilla ◽

Fred T. Davies

Keyword(s):

Gas Exchange ◽

Sonoran Desert ◽

Growth Response ◽

Glomus Intraradices ◽

Root Colonization ◽

Gas Exchange Parameters ◽

Hibiscus Rosa Sinensis ◽

Low Phosphorus ◽

The Relationship ◽

Exchange Parameters

Six endomycorrhiza isolates from the Sonoran Desert of Mexico [Desert-14(18)1, 15(9)1, 15(15)1, Palo Fierro, Sonoran, and G. geosporum] were evaluated with a pure isolate of Glomus intraradices for their effect on the growth and gas exchange of Hibiscus rosa-sinensis L. cv. Leprechaun under low phosphorus fertility (11 mg P/L). Rooted cuttings of Hibiscus plants were inoculated with the seven mycorrhiza isolates and grown for 122 days. Gas exchange measurements were made on days 26, 88, and 122 after inoculation, and plants were harvested on day 123 for growth analysis. Plants inoculated with the seven isolates had 70% to 80% root colonization at harvest. Plants inoculated with G. intraradices had significantly higher leaf, shoot and root dry matter (DM), leaf DM/area (P ≤ 0.05) than those inoculated with any of the six isolates, and greater leaf area (LA) than Desert-15(9)1 and 15(15)1. Uninoculated plants had significantly lower leaf, shoot, root DM, leaf DM/area and LA (P ≤ 0.05) than the inoculated plants. There were no differences among the seven isolates in any of the gas exchange parameters measured [photosynthesis (A) stomatal conductance (gs), the ratio of intercellular to external CO2 (ci/ca), A to transpiration (E) ratio (A/E)]. The relationship between inoculated and uninoculated plants in these gas exchange parameters were variable on day 122 after inoculation.

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Advances in Measurement and Monitoring Methods: Preface from the Guest Editors

Vadose Zone Journal ◽

10.2136/vzj2003.4430 ◽

2003 ◽

Vol 2 (4) ◽

pp. 443-443 ◽

Cited By ~ 4

Author(s):

Ty P. A. Ferré ◽

Gerard J. Kluitenberg

Keyword(s):

Monitoring Methods

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Advances in Measurement and Monitoring Methods

Vadose Zone Journal ◽

10.2136/vzj2003.0443 ◽

2003 ◽

Vol 2 (4) ◽

pp. 443

Author(s):

Ty P. A. Ferré ◽

Gerard J. Kluitenberg

Keyword(s):

Monitoring Methods

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Advances in standardizing and validating research techniques for pathogen monitoring in water

Water Science & Technology Water Supply ◽

10.2166/ws.2004.0023 ◽

2004 ◽

Vol 4 (2) ◽

pp. 23-30

Author(s):

K. Connell ◽

M. Pope ◽

K. Miller ◽

J. Scheller ◽

J. Pulz

Keyword(s):

Validation Studies ◽

Development Process ◽

Monitoring Methods ◽

Microbiological Method ◽

Validation Process ◽

Method Performance ◽

Target Analytes ◽

Interlaboratory Validation ◽

Quality Control Criteria ◽

Control Criteria

Designing and conducting standardized microbiological method interlaboratory validation studies is challenging because most methods are manual, rather than instrument-based, and results from the methods are typically subjective. Determinations of method recovery, in particular, are problematic, due to difficulties in assessing the true spike amount. The standardization and validation process used for the seven most recent USEPA 1600-series pathogen monitoring methods has begun to address these challenges. A staged development process was used to ensure that methods were adequately tested and standardized before resources were dedicated to interlaboratory validation. The interlaboratory validation studies for USEPA Method 1622, for Cryptosporidium, USEPA Method 1601 for coliphage, and USEPA Method 1605 for Aeromonas assessed method performance using different approaches, due the differences in the nature of the target analytes and the data quality needs of each study. However, the use of enumerated spikes in all of the studies allowed method recovery and precision to be assessed, and also provided the data needed to establish quantitative quality control criteria for the methods.

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