Haijian Yang¹, Mingzhi Zhang^1,*, Na Xiao¹, Yuan Li²

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2813-2836, 2024, DOI:10.32604/phyton.2024.057795 - 30 November 2024

Abstract Moistube irrigation was driven by the gradient of water potential inside and outside the pipe wall, which has the advantages of continuous irrigation during the crop growth period. However, the response mechanism of soil nutrients and enzyme activities of greenhouse tomatoes under the integration of water and fertilizer by moistube irrigation is still unclear. In order to explore the changes in soil nutrients and enzyme activities of greenhouse tomatoes regulated by irrigation and fertilization in moistube irrigation greenhouse, a completely randomized experimental design was conducted to explore the effects of different irrigation amounts (I, controlling… More >

Zirui Chen^1,2, Jiale Liu^1,2, Haijun Sun^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.10, pp. 2557-2569, 2024, DOI:10.32604/phyton.2024.056868 - 30 October 2024

Abstract Clarifying the soil nutrient dynamics caused by forest type variations in the coastal region helps scientifically to apply fertilizer to forest plantations and enhance the carbon (C) sink capacity. Pure forests of Ligustrum and Metasequoia, as well as their mixed forests, in a coastal region of China were investigated by collecting 0–20 and 20–40 cm soil samples and analyzing their differences in bulk density, water content, pH, soil organic matter (SOM), ammonium (NH₄⁺–N), nitrate (NO₃^––N) and total nitrogen (TN), available phosphorus (AP) and potassium (AK), microbial biomass C (MBC) and N (MBN), and enzyme activity. The results… More >

Wissal Benaffari^1,2,3, Fatima-Ezzahra Soussani^1,2,4, Abderrahim Boutasknit^1,2,5, Salma Toubali^1,2,3, Abir Ben Hassine³, Hala Ben Ahmed³, Rachid Lahlali^7,*, Abdelilah Meddich^1,2,6,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2285-2302, 2024, DOI:10.32604/phyton.2024.055052 - 30 September 2024

Abstract Quinoa (Chenopodium quinoa) has recently gained popularity as a pseudo-cereal cultivated in various countries due to the nutritional and antioxidant benefits of its seeds, and its capacity to persist in water-stressed environments. Our study aimed to assess the effects of native arbuscular mycorrhizal fungi (AMF) and local organic amendments on the metabolic responses and antioxidant activity of quinoa seeds under water-stressed conditions. To this end, quinoa plants were grown in soils inoculated with an indigenous mycorrhizal consortium AMF and amended with two types of compost from horse manure (HM) and green waste (GW) under two water… More >

Lianhua Ma¹, Min Huang¹, Linfeng Han^2,*

Structural Durability & Health Monitoring, Vol.18, No.6, pp. 853-869, 2024, DOI:10.32604/sdhm.2024.051374 - 20 September 2024

Abstract Given the complexities of reinforced soil materials’ constitutive relationships, this paper compares reinforced soil composite materials to a sliding structure between steel bars and soil and proposes a reinforced soil constitutive model that takes this sliding into account. A finite element dynamic time history calculation software for composite response analysis was created using the Fortran programming language, and time history analysis was performed on reinforced soil retaining walls and gravity retaining walls. The vibration time histories of reinforced soil retaining walls and gravity retaining walls were computed, and the dynamic reactions of the two types More >

Shilpa Suman¹, Abhishek Rawat^2,*, Anil Kumar³, S. K. Tiwari⁴

Revue Internationale de Géomatique, Vol.33, pp. 363-381, 2024, DOI:10.32604/rig.2024.053981 - 18 September 2024

Abstract In this study, the impact of the training sample selection method on the performance of fuzzy-based Possibilistic c-means (PCM) and Noise Clustering (NC) classifiers were examined and mapped the cumin and fennel rabi crop. Two training sample selection approaches that have been investigated in this study are “mean” and “individual sample as mean”. Both training sample techniques were applied to the PCM and NC classifiers to classify the two indices approach. Both approaches have been studied to decrease spectral information in temporal data processing. The Modified Soil Adjusted Vegetation Index 2 (MSAVI-2) and Class-Based Sensor… More >

Emre Ozsahin^1,*, Huseyin Sarı², Duygu Boyraz Erdem², Mikayil Ozturk²

Revue Internationale de Géomatique, Vol.33, pp. 341-361, 2024, DOI:10.32604/rig.2024.054197 - 13 September 2024

Abstract This study assessed and mapped the spatial distribution of soil types and properties developed under the forest cover of the Strandzha Mountains of Türkiye. The study was conducted on a micro-scale in the riparian zone of the Balaban River, which characterizes the soils distributed in the mountainous area. The effect of environmental factors on the spatial distribution of soil types and properties was also determined. To gather data, soil sampling, laboratory analysis, data processing and mapping were sequentially performed. These data were analyzed using the Geographical Information System (GIS) based Random Forest (RF) machine learning… More > Graphic Abstract

Yi Xi, Li Zhang, Yanhong Xu, Wei Cheng, Chao Chen^*

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1749-1765, 2024, DOI:10.32604/phyton.2024.051793 - 30 July 2024

Abstract In artificially controlled pot experiments, perennial ryegrass was mixed with other leguminous plants (white clover and alfalfa) and treated with lead, zinc and cadmium (337 mg·kg, 648 mg·kg, and 9 mg·kg, respectively) to simulate compound pollution conditions. The results showed that the concentrations of heavy metals, transport factors, and bioconcentration factors in mixed planting of ryegrass decreased compared with those in monoculture. Regardless of whether heavy metal pollution was introduced, mixed planting increased the aboveground and underground biomasses of ryegrass. The different mixed planting treatments had no significant impact on the chlorophyll concentration of ryegrass.… More >

Jin Tao¹, Jiatai Tian¹, Dongmei Li¹, Jinlei Zhu², Qun Ma³, Zhiming Zhang¹, Jungang Chen⁴, Yipeng Liu⁵, Jianqiang Qian^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1129-1141, 2024, DOI:10.32604/phyton.2024.051405 - 27 June 2024

Abstract Human activities and industrialization have significantly increased soil nutrients, such as nitrogen (N) and phosphorus (P), profoundly impacting the composition and structure of plant community, as well as the ecosystem functions, especially in nutrient-limited ecosystems. However, as the key propagule pool of perennial grasslands, how belowground bud bank and its relationship with aboveground vegetation respond to short-term changes in soil nutrients was still unclear. In this study, we conducted a short-term (2021–2022) soil fertilization experiment with N addition (10 g N m yr) and P addition (5 g N m yr) in the meadow steppe… More >

Anindita Das¹, Kanu Murmu², Biplab Mitra³, Pintoo Bandopadhyay², Ritesh Kundu⁴, Moupiya Roy⁵, Saleh Alfarraj⁶, Mohammad Javed Ansari⁷, Marian Brestic⁸, Akbar Hossain^9,*

Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 763-776, 2024, DOI:10.32604/phyton.2024.049473 - 29 April 2024

Abstract Nutrient management plays a crucial role in the yield and quality of sweet corn. A field experiment was conducted in consecutive two kharif seasons in 2018 and 2019 to investigate the effect of various organic sources of nutrients in combination with inorganic sources on the yield and quality of sweet corn under new alluvial soils of West Bengal, India. Treatments were: T: Control (without fertilizers); T: 100% recommended dose (RDF) of chemical fertilizers (CF) (RDF CF); T: 100% recommended dose of N (RDN) through vermicompost (VC) (RDN VC); T: 50 RDN through CF + 50%… More >

Chengbao Hu^1,2,3, Shilin Gong^4,*, Bin Chen^1,2,3, Zhongling Zong⁴, Xingwang Bao⁵, Xiaojian Ru⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 997-1015, 2024, DOI:10.32604/cmes.2024.048640 - 16 April 2024

Abstract Strain localization frequently occurs in cohesive materials with friction (e.g., composites, soils, rocks) and is widely recognized as a fundamental cause of progressive structural failure. Nonetheless, achieving high-fidelity simulation for this issue, particularly concerning strong discontinuities and tension-compression-shear behaviors within localized zones, remains significantly constrained. In response, this study introduces an integrated algorithm within the finite element framework, merging a coupled cohesive zone model (CZM) with the nonlinear augmented finite element method (N-AFEM). The coupled CZM comprehensively describes tension-compression and compression-shear failure behaviors in cohesive, frictional materials, while the N-AFEM allows nonlinear coupled intra-element discontinuities More >