Seaweed-Derived Bio-Stimulant (Kelpak®) Enhanced the Morphophysiological, Biochemical, and Nutritional Quality of Salt-Stressed Spinach (Spinacia oleracea L.) DOI Creative Commons
Avela Sogoni, Bonga Lewis Ngcobo, Muhali Olaide Jimoh

et al.

Horticulturae, Journal Year: 2024, Volume and Issue: 10(12), P. 1340 - 1340

Published: Dec. 13, 2024

Biostimulants such as seaweed extracts are emerging crop management products that can enhance productivity and nutritional quality under abiotic stress conditions. Therefore, this study aimed to assess the effectiveness of a seaweed-derived biostimulant (Kelpak®) in alleviating salinity spinach. A greenhouse experiment which consisted five treatments (T1 = Control plants (no NaCl or extract (SWE), T2 subjected 300 mM without SWE, T3 + 1% dilution T4 2.5% T5 5% SWE) was conducted. The results showed addition SWE reduced growth, relative water content, chlorophyll, quality. Similarly, induced severe oxidative stress, indicated by excessive amounts superoxide radicals, malondialdehyde upregulation catalase, peroxidase, polyphenols, flavonoids. Interestingly, treated with displayed substantial enhancement performance, reduction improved quality, characterised considerable minerals, proximate constituents, vitamins. These support use enhancing growth spinach saline cultivation.

Language: Английский

Distribution Characteristics and Relationship Between Soil Salinity and Soil Particle Size in Ebinur Lake Wetland, Xinjiang DOI Creative Commons

Duo Wen,

Jinjie Wang,

Jianli Ding

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 297 - 297

Published: Jan. 31, 2025

A comprehensive understanding of soil salinity characteristics and the vertical spatial distribution particle sizes in lakes wetlands within arid zones, as well elucidating their interrelationship, is crucial for effective wetland salinization management. In this study, typical salinized wetland, Ebinur Lake was selected research object. total 50 sampling points were established along edge Lake, resulting collection 200 samples from depths 0–60 cm. The size (PSD) obtained by laser sizer, fractal dimension structure deduced applying theory. soluble salt content (TSS) ions measured laboratory physicochemical experiments. Finally, Pearson correlation other methods used to explore relationship between size. results showed following: (1) Soil study area severe, accumulation surface salts obvious, with a mean value 46,410 mg/kg. TSS predominantly influenced Cl−, SO42−, Na+ + K+, Mg2+, Ca2+. (2) Across various depths, silt sand primary constituents, dimensions (Dsoil) ranging 1.91 2.76, averaging 2.54, poor textural structure. Dsoil closely mirrored that TSS. (3) According analysis results, increased, continued rise, an increasing clay, while decreased. Simultaneously, particles became finer, also suggesting sandy loam silty soils more prone accumulation.

Language: Английский

Citations

1
A Framework for Multiphase Pore-Scale Modeling Based on Micro-CT Imaging DOI Creative Commons
Sajjad Foroughi, Mohammad Javad Shojaei,

Nathan Lane

et al.

Transport in Porous Media, Journal Year: 2025, Volume and Issue: 152(3)

Published: Feb. 17, 2025

Language: Английский

Citations

1
Improved digital mapping of soil texture using the kernel temperature–vegetation dryness index and adaptive boosting DOI Creative Commons

Xu Zhai,

Yuzhong Liu,

Yuanyuan Hong

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: 87, P. 103083 - 103083

Published: Feb. 18, 2025

Language: Английский

Citations

1
The rising threat of subsoil salinization in drylands DOI Creative Commons
Jingzhe Wang, Jianli Ding, Iván Lizaga

et al.

International Soil and Water Conservation Research, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Citations

1
Impacts of groundwater storage variability on soil salinization in a semi-arid agricultural plain DOI Creative Commons
Geng Cui, Yan Liu,

Xiaojie Li

et al.

Geoderma, Journal Year: 2025, Volume and Issue: 454, P. 117162 - 117162

Published: Jan. 6, 2025

Language: Английский

Citations

0
Predicting Soil Salinity Based on Soil/Water Extracts in a Semi-Arid Region of Morocco DOI Creative Commons
Jamal-Eddine Ouzemou, Ahmed Laamrani,

Ali El Battay

et al.

Soil Systems, Journal Year: 2025, Volume and Issue: 9(1), P. 3 - 3

Published: Jan. 8, 2025

Soil salinity is a major constraint to soil health and crop productivity, especially in arid semi-arid regions. The most accurate measurement of considered be the electrical conductivity saturated extracts (ECe). Because this method labor-intensive, it unsuitable for routine analysis large sampling campaigns. This study aimed identify best models estimate based on ECe relation rapid (EC) soil/water (referred as S:W henceforward) extracts. We evaluated relationship between ECS:W extract ratios (1:1, 1:2, 1:5) salt-affected soils from Sehb El Masjoune region Morocco. 0.5 235 dS/m, determined by method. A total 125 samples, topsoil (0–15 cm) subsoil (15–30 with mainly fine medium textures, were analyzed using linear, logarithmic, second-order polynomial regression models. included all samples or grouped according texture (fine, medium) specific textural classes. mean values 2.6, 3.1, 7.9 times greater than EC 1:1, 1:5 extracts, respectively. Polynomial had predictive accuracy, R2 = 0.98, lowest root square error 10.6 10.7 dS/m 1:2. could represent non-linear relationships indicators, 80–170 range, where other typically underestimate salinity. These results confirm that advanced techniques are suitable predicting region. site-specific outperformed previously published models, because they consider spatial variability heterogeneity area explicitly. confirms importance calibrating local environmental conditions. Consequently, we can undertake assessments hundreds simple, extraction direct indicator extrapolate model. Our approach enables widespread needed land-use planning, irrigation management, selection landscapes.

Language: Английский

Citations

0
Integrating intelligent algorithms in music education to analyze and improve posture and motion in instrumental training DOI Open Access

Panle Yang

Molecular & cellular biomechanics, Journal Year: 2025, Volume and Issue: 22(1), P. 762 - 762

Published: Jan. 15, 2025

This paper presents an innovative Artificial Intelligence (AI)—based system for real-time posture analysis and correction in instrumental music training. The integrates OpenPose-based Convolutional Neural Networks (CNN) skeletal tracking, Dynamic Time Warping motion pattern analysis, K-Nearest Neighbors (K-NN) classification. Through a 16-week experimental study involving 18 students, the demonstrated significant improvements learning outcomes compared to traditional methods. Key findings include (a) 33.3% faster technique acquisition AI-assisted methods; (b) 18.6% higher improvement rates by week 16; (c) 40.2% better self-correction capabilities; (d) 95.1% retention rate of correct after 6 months. processes video input at 120 fps with total latency 30 ms, achieving 94.3% accuracy detection 91.2% matching. research establishes comprehensive framework integrating AI technology education, providing continuous, objective feedback during practice sessions. approach addresses critical gap between supervised instruction individual practice, potentially reducing risk performance-related injuries through early deviations.

Language: Английский

Citations

0
Sustainability Nexus AID: soil health DOI Creative Commons
Nima Shokri, Milad Aminzadeh, Markus Flury

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 33(1)

Published: Feb. 2, 2025

Abstract The Sustainability Nexus Analytics, Informatics, and Data (AID) Programme of the United Nations University (UNU), aims to provide information, data, computational, analytical tools support sustainable management long-term security natural resources using a nexus approach. This paper introduces Soil Health Module AID Programme. Healthy soil is crucial for life on Earth, it essential ecosystem services functioning, access clean water, socioeconomic structure, biodiversity, food growing population world. soils contribute mitigating effects climate change reduce consequences extreme events such as flooding drought. influence hydrologic cycle by regulating transpiration, water infiltration, evaporation affecting land–atmosphere interactions. UNU evolve into ultimate focal point, supporting diverse array stakeholders with state-of-the-art data that are health monitoring projection. discusses importance adopting approach ensuring health, explores currently at our disposal quantifying predicting concludes recommendations future effort direction within concerning health.

Language: Английский

Citations

0
Comparative Transcriptomic and Physiological Analyses Reveal Salt Tolerance Mechanisms of Beta vulgaris L DOI
Ningning Li, Jiamin Cheng, Zijian Zhang

et al.

Sugar Tech, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

Citations

0
Unveiling the potential of Bacillus safensis PG-54 isolated from fermented panchagavya on Sorghum bicolor under salinity stress DOI Creative Commons

Drashti Patel,

Dimple S. Pardhi,

Tejalba Rathod

et al.

Discover Plants., Journal Year: 2025, Volume and Issue: 2(1)

Published: March 26, 2025

Language: Английский

Citations

0