The relationship between corn particle size and thermoregulation of laying hens in an equatorial semi-arid environment

2014 ◽  
Vol 59 (1) ◽  
pp. 121-125 ◽  
Author(s):  
João Batista Freire de Souza ◽  
Vanessa Raquel de Morais Oliveira ◽  
Alex Martins Varela de Arruda ◽  
Aurora de Melo Silva ◽  
Leonardo Lelis de Macedo Costa
Keyword(s):  
Particle Size ◽  
Laying Hens ◽  
Arid Environment ◽  
The Relationship ◽  
Semi Arid ◽  
Corn Particle Size

RETRACTED ARTICLE: Regional differences in the surface temperature of Naked Neck laying hens in a semi-arid environment

2012 ◽  
Vol 57 (3) ◽  
pp. 377-380 ◽  
Author(s):  
João Batista Freire de Souza ◽  
Alex Martins Varela de Arruda ◽  
Hérica Girlane Tertulino Domingos ◽  
Leonardo Lelis de Macedo Costa
Keyword(s):  
Surface Temperature ◽  
Regional Differences ◽  
Laying Hens ◽  
Arid Environment ◽  
Naked Neck ◽  
Retracted Article ◽  
Semi Arid

scholarly journals Retraction Note: Regional differences in the surface temperature of naked neck laying hens in a semi-arid environment

2014 ◽  
Vol 58 (7) ◽  
pp. 1709-1709
Author(s):  
João Batista Freire de Souza ◽  
Alex Martins Varela de Arruda ◽  
Hérica Girlane Tertulino Domingos ◽  
Leonardo Lelis de Macedo Costa
Keyword(s):  
Surface Temperature ◽  
Regional Differences ◽  
Laying Hens ◽  
Arid Environment ◽  
Naked Neck ◽  
Semi Arid

scholarly journals Application of Tasselled-Cap Transformation to Soil Textural Mapping of a Semi-Arid Environment: A Case of Usmanu Danfodiyo University Main Campus, Sokoto, Nigeria

2020 ◽  
Vol 4 (1) ◽  
pp. 97-110
Author(s):  
N. B. Eniolorunda ◽  
A. M. Jibrillah
Keyword(s):  
Particle Size ◽  
Soil Texture ◽  
Arid Environment ◽  
Google Earth ◽  
Soil Particle ◽  
Particle Sizes ◽  
Main Campus ◽  
Soil Particle Size ◽  
Semi Arid ◽  
Bare Surface

Information on soil attributes still largely relies on traditional methods of point sampling and subsequent laboratory test which are time and resource consuming. Thus, this study tested the applicability of Kauth-Thomas Tasseled-Cap Transformation (TCT) to soil textural mapping on the main campus of Usmanu Danfodiyo University, Sokoto as a faster method. We hypothesized that the TCT-Brightness image had no relationship individually with soil particle size and Land use/ Land Cover (LUC). Landsat 8 of 22-03-2019 was preprocessed with QGIS and subjected to TCT in Idrisi Terrset to produce the TCT-Brightness image. Soil samples were collected at 91 points based on stratified random sampling at 0-15cm depth. Soil particle size was determined by Bouyoucos Hydrometer method. Simple linear regression analysis was used to model soil particle sizes from the TCT-Brightness image, while soil textural map was produced in SAGA. LUC of the area was mapped at Level III within the Google Earth Engine (GEE). Cross map-tabulation was carried out to test for the relationship between LUC and soil texture. Four textural classes were obtained namely sandy-clay-loam, loamy sand, sand and sandy-loam, with sand being dominant. Soil particle sizes were modeled at 99.85% accuracy, while soil textural mapping yielded 95% accuracy. Five LUC classes namely built-up area, wetland, upland forest, bare surface and riparian forest were mapped at 98.3% accuracy, with bare surface being dominant. A significant (p<0.01) relationship between LUC and soil texture was obtained at 0.85 Kappa Index of Agreement. The study concluded that the TCT is sufficient for predicting soil texture in a largely sandy semi-arid environment. A repeat of this study for the wet season was recommended.

CASE STUDY: Evaluation of Different Cooling Systems in Lactating Heat-Stressed Dairy Cows in a Semi-Arid Environment

2007 ◽  
Vol 23 (5) ◽  
pp. 546-555 ◽  
Author(s):  
R. Burgos ◽  
L.J. Odens ◽  
R.J. Collier ◽  
L.H. Baumgard ◽  
M.J. VanBaale
Keyword(s):  
Dairy Cows ◽  
Arid Environment ◽  
Cooling Systems ◽  
Study Evaluation ◽  
Semi Arid

Simulation on Extrusion Comminution Model of Roller Press

2010 ◽  
Vol 156-157 ◽  
pp. 1702-1707
Author(s):  
Xiang Wen Cheng ◽  
Jinchao Liu ◽  
Qi Zhi Ding ◽  
Li Ming Song ◽  
Zhan Lin Wang
Keyword(s):  
Experimental Data ◽  
Particle Size ◽  
Field Experiments ◽  
Size Ratio ◽  
Optimum Operating ◽  
Extrusion Force ◽  
Particle Size Ratio ◽  
Small Constant ◽  
Working Parameters ◽  
The Relationship

How to predict the relationship among particle size and among product size, to establish the relationship between the granularity and working parameters in the process of grinding and to determine the optimum operating parameters. With proposing BS squeeze crush model by L. Bass and the idea of roll surface division as the material uneven extrusion force are adopted. Based on field experiments the experimental data is analyzed, the select function and the breakage functions are fitted with MATLAB software, and obtaining their model. The comminution model is determined by the roller division. We obtain the model parameter through the experimental data. Through model analysis shows: the relationship between particle breakage and energy absorption, namely the smaller size of the same power, the lower broken; the breakage diminishes with the decrease of particle size ratio and it will be tending to a small constant when the smaller particle size ratio. The breakage functions rapidly decrease within ratio of between 0.2-0.7. This shows: the energy consumption will rapidly increase when the particle size of less than 0.2 in broken; the selection diminish with the decrease of particle size. Pressure (8-9MPa) should be the most appropriate value.

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