CGA-362622: Soil Behavior and Foliar Versus Root Absorption by Torpedograss (Panicum repens)1

2003 ◽  
Vol 17 (2) ◽  
pp. 366-372 ◽  
Author(s):  
WALKER WILLIAMS ◽  
GLENN WEHTJE ◽  
ROBERT H. WALKER
Keyword(s):  
Soil Behavior ◽  
Root Absorption ◽  
Panicum Repens

Quinclorac: Soil Behavior and Foliar vs. Root Absorption by Torpedograss (Panicum repens)

2004 ◽  
Vol 18 (3) ◽  
pp. 626-633 ◽  
Author(s):  
Walker Williams ◽  
Glenn Wehtje ◽  
Robert H. Walker
Keyword(s):  
Soil Solution ◽  
Solution Concentration ◽  
Wetting Front ◽  
Soil Behavior ◽  
Foliar Absorption ◽  
Root Absorption ◽  
Panicum Repens ◽  
Treated Leaf ◽  
Selective Placement ◽  
Radiotracer Techniques

Selective placement studies were conducted under greenhouse conditions to determine the relative importance of root vs. foliar absorption of postemergence-applied quinclorac by torpedograss. Foliar + soil and soil-only applications were more effective than foliar-only in reducing torpedograss foliage at 4 wk after treatment (WAT). However, foliar-only and foliar + soil were more effective than soil-only in suppressing regrowth at 10 WAT. Quinclorac foliar absorption by torpedograss and subsequent translocation, as determined with radiotracer techniques, was minimal. After 72 h, only 26% of the applied quinclorac had been absorbed, and 13.7% of the amount applied remained within the treated leaf. Only 0.3% of applied was recovered in the roots, and none was detected in the developing rhizomes. Quinclorac was readily root absorbed and translocated. After 6 h, a 26.7 μg/plant dose of quinclorac had been absorbed, and 54% of this quantity remained in the roots; the remaining 46% having been translocated throughout the plant. The youngest leaf and the immature rhizomes accumulated 5 and 9% of the amount absorbed, respectively. Quinclorac was not readily soil sorbed as determined by soil solution experiments. Quinclorac was displaced nearly concomitant with the wetting front in soil chromatography. Soil solution concentration and soil mobility were greater at pH 6.7 than at 5.7. Results establish that consistent control of torpedograss with quinclorac is dependent on soil entry and root absorption. Unfortunately, the propensity of quinclorac to be water displaced could negatively affect this control.

Analysis of the Weak Soil Behavior, Modified Through Cementation

2019 ◽  
Vol 7 (1) ◽  
pp. 27-36
Author(s):  
Nadiia Kopiika ◽  
Yuriy Petrenko
Keyword(s):  
Soil Stabilization ◽  
Theoretical Research ◽  
Soil Behavior ◽  
Weak Soil ◽  
Calculation Technique ◽  
Literature Overview ◽  
Weak Soils ◽  
Chemical Technique ◽  
Increasing Demand

The purpose of the study is to conduct thorough theoretical research and literature overview regarding possible ways of soil stabilization on the basis of this practice increasing demand. In particular an emphasis is made on the chemical technique for weak soils strengthening, due to its prevalence and various practical and economic advantages. Great amount of promiscuous data was analyzed and organized; in addition on its basis an attempt is made to provide convincing calculation technique for further usage in engineering soils` stabilization practice. Besides, various factors which could influence on the results` accuracy are identified with corresponding recommendations for further possible research on this issue.

scholarly journals Produção e composição químico-bromatológica do capim-furachão (Panicum repens L.) sob adubação e diferentes idades de corte

2000 ◽  
Vol 29 (2) ◽  
pp. 325-333 ◽  
Author(s):  
Rogério da Silva Aguiar ◽  
Hernán Maldonado Vasquez ◽  
José Fernando Coelho da Silva
Keyword(s):  
Panicum Repens

O objetivo deste trabalho foi avaliar a produção de matéria seca (MS) e a composição químico-bromatológica do capim-furachão (Panicum repens L.) em diferentes idades de corte (15, 30, 45, 60 e 75 dias), na presença e ausência de adubação. Para as análises de produção e composição química, utilizou-se delineamento em blocos casualizados, em um fatorial 5 x 2 (cinco idades de corte e dois níveis de adubação), com três repetições. A adubação proporcionou aumento na produção e redução nos teores de MS. Os teores de proteína bruta (PB) foram reduzidos com o avanço da idade da gramínea. Aos 60 dias, encontraram-se produções de 541,87 kg/ha de PB e 5343,92 kg/ha de MS e teores médios de FDN e FDA de 69,70 e 34,25% na MS, respectivamente. As idades de corte influíram nos teores de FDN e FDA, mas a adubação não influenciou os teores de FDN. Os teores de Ca não diferiram na presença ou ausência de adubação, com média de 0,13% na MS, e aumentaram com a idade de corte. Os teores de P diminuíram com o avanço da idade da gramínea, sendo o maior valor 0,22% na MS, na condição sem adubo.

Soil behavior and related effects in the Peru earthquake of May 31, 1970

1971 ◽  
Vol 61 (3) ◽  
pp. 579-590 ◽  
Author(s):  
William Enkeboll
Keyword(s):  
Water Table ◽  
High Water ◽  
Soil Behavior ◽  
High Water Table ◽  
Water Conditions ◽  
Degree Of Damage ◽  
Soil And Water

abstract Soil and water conditions had an effect on the degree of damage to structures. Most structures were located on alluvium with a high water table. Settlements occurred in dike and causeway fill in Chimbote harbor. Severe problems to communication occurred in some areas through embankment failures and road slides.

A Bayesian unsupervised learning approach for identifying soil stratification using cone penetration data

2019 ◽  
Vol 56 (8) ◽  
pp. 1184-1205 ◽  
Author(s):  
Hui Wang ◽  
Xiangrong Wang ◽  
J. Florian Wellmann ◽  
Robert Y. Liang
Keyword(s):  
Computational Cost ◽  
Physical Space ◽  
Soil Classification ◽  
Feature Space ◽  
Soil Behavior ◽  
Cone Penetration ◽  
Soil Layers ◽  
Tip Resistance ◽  
Input Dataset ◽  
Spatial Configurations

This paper presents a novel perspective to understanding the spatial and statistical patterns of a cone penetration dataset and identifying soil stratification using these patterns. Both local consistency in physical space (i.e., along depth) and statistical similarity in feature space (i.e., logQt–logFrspace, where Qtis the normalized tip resistance and Fris the normalized friction ratio, or the Robertson chart) between data points are considered simultaneously. The proposed approach, in essence, consists of two parts: (i) a pattern detection approach using the Bayesian inferential framework and (ii) a pattern interpretation protocol using the Robertson chart. The first part is the mathematical core of the proposed approach, which infers both spatial pattern in physical space and statistical pattern in feature space from the input dataset; the second part converts the abstract patterns into intuitive spatial configurations of multiple soil layers having different soil behavior types. The advantages of the proposed approach include probabilistic soil classification and identification of soil stratification in an automatic and fully unsupervised manner. The proposed approach has been implemented in MATLAB R2015b and Python 3.6, and tested using various datasets including both synthetic and real-world cone penetration test soundings. The results show that the proposed approach can accurately and automatically detect soil layers with quantified uncertainty and reasonable computational cost.

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