A linear mixed effect (LME) model for soil nutrients and soil salinity changes based on two localized irrigation techniques (drip irrigation and buried diffuser)

2019 ◽  
Vol 12 (11) ◽  
Author(s):  
Ines Gasmi ◽  
Basem Aljoumani ◽  
Jose A. Sànchez-Espigares ◽  
Mohamed Mechergui ◽  
Mohamed Moussa
Keyword(s):  
Soil Nutrients ◽  
Soil Salinity ◽  
Drip Irrigation ◽  
Mixed Effect ◽  
Linear Mixed Effect ◽  
Salinity Changes

Change on detection of vegetation cover and soil salinity using GIS technique in Diyala Governorate, Iraq

2021 ◽  
Vol 30 (1) ◽  
pp. 148-158
Author(s):  
Haneen Adeeb ◽  
Yaseen Al-Timimi
Keyword(s):  
Soil Salinity ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Inverse Correlation ◽  
Salinity Changes ◽  
Gis Technique ◽  
Salinity Index ◽  
Remote Sensing Techniques ◽  
Strong Inverse Correlation

Soil salinity is one of the most important problems of land degradation, that threatening the environmental, economic and social system. The aim of this study to detect the changes in soil salinity and vegetation cover for Diyala Governorate over the period from 2005 to 2020, through the use of remote sensing techniques and geographic information system. The normalized difference vegetation index (NDVI) and salinity index (SI) were used, which were applied to four of the Landsat ETM+ and Landsat OLI satellite imagery. The results showed an increase in soil salinity from 7.27% in the period 2005–2010 to 27.03% in 2015–2020, as well as an increase in vegetation from 10% to 24% in the same period. Also the strong inverse correlation between the NDVI and the SI showed that vegetation is significantly affected and directly influenced by soil salinity changes

Detecting soil salinity changes in irrigated Vertisols by electrical resistivity prospection during a desalinisation experiment

2012 ◽  
Vol 109 ◽  
pp. 1-10 ◽  
Author(s):  
I. Adam ◽  
D. Michot ◽  
Y. Guero ◽  
B. Soubega ◽  
I. Moussa ◽  
...  
Keyword(s):  
Electrical Resistivity ◽  
Soil Salinity ◽  
Salinity Changes

scholarly journals Relationship between β-amyloid and structural network topology in decedents without dementia

Neurology ◽  
2020 ◽  
Vol 95 (5) ◽  
pp. e532-e544
Author(s):  
Laura E. Jonkman ◽  
Martijn D. Steenwijk ◽  
Nicky Boesen ◽  
Annemieke J.M. Rozemuller ◽  
Frederik Barkhof ◽  
...  
Keyword(s):  
Network Topology ◽  
Pathologic Change ◽  
Mixed Effect ◽  
Linear Mixed Effect ◽  
Local Efficiency ◽  
Mixed Effect Models ◽  
Global Efficiency ◽  
Structural Network ◽  
Β Amyloid ◽  
Linear Mixed Effect Models

ObjectiveTo investigate the association between β-amyloid (Aβ) load and postmortem structural network topology in decedents without dementia.MethodsFourteen decedents (mean age at death 72.6 ± 7.2 years) without known clinical diagnosis of neurodegenerative disease and meeting pathology criteria only for no or low Alzheimer disease (AD) pathologic change were selected from the Normal Aging Brain Collection Amsterdam database. In situ brain MRI included 3D T1-weighted images for anatomical registration and diffusion tensor imaging for probabilistic tractography with subsequent structural network construction. Network topologic measures of centrality (degree), integration (global efficiency), and segregation (clustering and local efficiency) were calculated. Tissue sections from 12 cortical regions were sampled and immunostained for Aβ and hyperphosphorylated tau (p-tau), and histopathologic burden was determined. Linear mixed effect models were used to assess the relationship between Aβ and p-tau load and network topologic measures.ResultsAβ was present in 79% of cases and predominantly consisted of diffuse plaques; p-tau was sparsely present. Linear mixed effect models showed independent negative associations between Aβ load and global efficiency (β = −0.83 × 10−3, p = 0.014), degree (β = −0.47, p = 0.034), and clustering (β = −0.55 × 10−2, p = 0.043). A positive association was present between Aβ load and local efficiency (β = 3.16 × 10−3, p = 0.035). Regionally, these results were significant in the posterior cingulate cortex (PCC) for degree (β = −2.22, p < 0.001) and local efficiency (β = 1.01 × 10−2, p = 0.014) and precuneus for clustering (β = −0.91 × 10−2, p = 0.017). There was no relationship between p-tau and network topology.ConclusionThis study in deceased adults with AD-related pathologic change provides evidence for a relationship among early Aβ accumulation, predominantly of the diffuse type, and structural network topology, specifically of the PCC and precuneus.

scholarly journals Effects of Alternating Irrigation with Fresh and Saline Water on the Soil Salt, Soil Nutrients, and Yield of Tomatoes

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1693
Author(s):  
Jingang Li ◽  
Jing Chen ◽  
Zhongyi Qu ◽  
Shaoli Wang ◽  
Pingru He ◽  
...  
Keyword(s):  
Fresh Water ◽  
Soil Nutrients ◽  
Drip Irrigation ◽  
Growth Stage ◽  
Fruit Set ◽  
Saline Water ◽  
Total Dissolved Solids ◽  
Dissolved Solids ◽  
Saline Water Irrigation ◽  
Soil Salt

Saline water irrigation has become extremely important in arid and semi-arid areas in northwestern China. To study the effect of alternating irrigation models on the soil nutrients, soil salts, and yield of tomatoes with fresh water (total dissolved solids of 0.50 g·L−1) and saline water (total dissolved solids of 3.01 g·L−1), a two-year field experiment was carried out for tomatoes in the Hetao Irrigation District (HID), containing six drip irrigation models: T1 (all freshwater irrigation), T2 (saline water used in the seedling and flowering stages; fresh water in the fruit-set and breaker stages), T3 (saline water in the flowering and fruit-set stages; fresh water in the seedling and breaker stages), T4 (saline water in the fruit-set and breaker stages; fresh water in the seedling and flowering stages), T5 (saline water in the flowering and breaker stages; fresh water in the seedling and fruit-set stages), T6 (saline water in the seedling and fruit-set stages; fresh water in the flowering and breaker stages). The study found that saline water irrigation tends to have a positive effect on soil total nitrogen and a negative influence on soil total phosphorus at each growth stage of the tomato. Soil Na+, Mg2+, Ca2+, K+, and Cl− increased over the growth period, soil HCO3− decreased gradually by growth stage, and the salt ions increased with the amount of saline water applied in alternating irrigation. Though the soil salt accumulated in all experimentally designed alternating irrigation models, soil alkalization did not occur in the tomato root zone under the soil matric potential threshold of −25 kPa. The utilization of saline water resulted in about a 1.9–18.2% decline in fruit yield, but the total soluble solids, lycopene, and sugar in the tomato fruits increased. Ultimately, drip irrigation with fresh water at the seedling to flowering stages and saline water at the fruit-set to breaker stages was suggested for tomato cultivation in HID.

The impact of comorbid chronic kidney disease and diabetes on health-related quality-of-life: a 12-year community cohort study

2020 ◽  
Author(s):  
Melanie L R Wyld ◽  
Rachael L Morton ◽  
Leyla Aouad ◽  
Dianna Magliano ◽  
Kevan R Polkinghorne ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Short Form ◽  
Mixed Effect ◽  
Linear Mixed Effect ◽  
Prospective Longitudinal ◽  
The Impact

Abstract Background Quality-of-life is an essential outcome for clinical care. Both chronic kidney disease (CKD) and diabetes have been associated with poorer quality-of-life. The combined impact of having both diseases is less well understood. As diabetes is the most common cause of CKD, it is imperative that we deepen our understanding of their joint impact. Methods This was a prospective, longitudinal cohort study of community-based Australians aged ≥25 years who participated in the Australian Diabetes, Obesity and Lifestyle study. Quality-of-life was measured by physical component summary (PCS) and mental component summary sub-scores of the Short Form (36) Health Survey. Univariate and multivariate linear mixed effect regressions were performed. Results Of the 11 081 participants with quality-of-life measurements at baseline, 1112 had CKD, 1001 had diabetes and of these 271 had both. Of the 1112 with CKD 421 had Stage 1, 314 had Stage 2, 346 had Stage 3 and 31 had Stages 4/5. Adjusted linear mixed effect models showed baseline PCS was lower for those with both CKD and diabetes compared with either disease alone (P &lt; 0.001). Longitudinal analysis demonstrated a more rapid decline in PCS in those with both diseases. Conclusions The combination of CKD and diabetes has a powerful adverse impact on quality-of-life, and participants with both diseases had significantly poorer quality-of-life than those with one condition.

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