Effect of agricultural wastes on some soil physicochemical properties of ultisol, growth parameters and yield of cocoyam (Xanthosoma mafafa) at Umudike, southeastern Nigeria

2020 ◽  
Vol 16 (7) ◽  
pp. 952-962
Author(s):  
Chidinma Susan Iroegbu ◽  
Damian O. Asawalam ◽  
Olasunkanmi Dada ◽  
Jephter E. Orji
Author(s):  
Afifi Nazeri ◽  
Ismail Jusoh ◽  
Mohd Effendi Wasli

The information on soil physicochemical properties is vital for the optimum wood biomass production in forest plantation management. The objective of this study was to determine the topsoil physicochemical properties under different Acacia mangium stand ages and their effect on the growth parameters. Five plots were established randomly within each five different stand ages. In all sample plots, the diameter at breast height (DBH) and the total height of standing trees were measured. Soil samples were collected at a depth of 0 to 20 cm at three random points in each plot, then mixed to get a composite before determining physical and chemical properties. DBH mean and the total height of A. mangium increased as stand age increased. The mean annual volume increment maximised at the 8.5 years old stand with 27.9 m3 ha-1 yr-1. Survival rate and stem density decreased as stand age increased. Principal component analysis (PCA) results showed that the most important soil physical properties were soil organic matter, silt and sand contents, bulk density, and moisture content. For soil chemical parameters, exchangeable magnesium (Mg), cation exchange capacity (CEC), total carbon (TC), total nitrogen (TN), and carbon-to-nitrogen (C/N) ratio were the influential soil variables. Soil pH, available phosphorus (P), and clay content were negatively correlated with the growth development of A. mangium trees. Observations suggest that multiple soil variables are essential for the success of the A. mangium plantation.


2020 ◽  
pp. 133-136
Author(s):  
Chime E.U ◽  
Nweke I.A ◽  
Ibeh C.U

Effects of different mulching materials on some growth parameters of maize and its influence on soil physicochemical properties were studied under Igbariamagro-ecology, during the rainy season of May to August 2019. The four types of mulches were laid out in a randomized complete Block design (RCBD), with four treatments and four replications. The four mulching treatments are Black polythene, while polythene, elephant grass, and no mulch, 5t/ha of cow dung manure was added to 18 experimental plots as Blank treatments. The growth, agronomic parameters, and soil physicochemical properties were monitored. Results indicated that elephant grass mulch significantly (P<0.5) increased the number of leaves, plant height, and stem girth when compared with other treatments. The treatments generally increased total porosity compared with the control. Bulk density and dispersion ratio significantly decreased in all treatments. There was a significant increase in aeration porosity. Field capacity and plant available water were significantly increased (p = 0.05). Buffer capacity, cation exchange capacity, and electrical conductivity were significantly increased with the application of treatments (p = 0.05). Particularly striking was the effect of Elephant grass mulch treatment on soil electrical conductivity which induced a 78.4±4.1 increase compared with the control 22.1±1.0. There was no significant increase in soluble cation. Therefore, elephant grass mulch could be applied alternatively in inorganic mulch and inorganic fertilizer for improved maize production.


Materials ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2617
Author(s):  
Alicja Szatanik-Kloc ◽  
Justyna Szerement ◽  
Agnieszka Adamczuk ◽  
Grzegorz Józefaciuk

Thousands of tons of zeolitic materials are used yearly as soil conditioners and components of slow-release fertilizers. A positive influence of application of zeolites on plant growth has been frequently observed. Because zeolites have extremely large cation exchange capacity, surface area, porosity and water holding capacity, a paradigm has aroused that increasing plant growth is caused by a long-lasting improvement of soil physicochemical properties by zeolites. In the first year of our field experiment performed on a poor soil with zeolite rates from 1 to 8 t/ha and N fertilization, an increase in spring wheat yield was observed. Any effect on soil cation exchange capacity (CEC), surface area (S), pH-dependent surface charge (Qv), mesoporosity, water holding capacity and plant available water (PAW) was noted. This positive effect of zeolite on plants could be due to extra nutrients supplied by the mineral (primarily potassium—1 ton of the studied zeolite contained around 15 kg of exchangeable potassium). In the second year of the experiment (NPK treatment on previously zeolitized soil), the zeolite presence did not impact plant yield. No long-term effect of the zeolite on plants was observed in the third year after soil zeolitization, when, as in the first year, only N fertilization was applied. That there were no significant changes in the above-mentioned physicochemical properties of the field soil after the addition of zeolite was most likely due to high dilution of the mineral in the soil (8 t/ha zeolite is only ~0.35% of the soil mass in the root zone). To determine how much zeolite is needed to improve soil physicochemical properties, much higher zeolite rates than those applied in the field were studied in the laboratory. The latter studies showed that CEC and S increased proportionally to the zeolite percentage in the soil. The Qv of the zeolite was lower than that of the soil, so a decrease in soil variable charge was observed due to zeolite addition. Surprisingly, a slight increase in PAW, even at the largest zeolite dose (from 9.5% for the control soil to 13% for a mixture of 40 g zeolite and 100 g soil), was observed. It resulted from small alterations of the soil macrostructure: although the input of small zeolite pores was seen in pore size distributions, the larger pores responsible for the storage of PAW were almost not affected by the zeolite addition.


CATENA ◽  
2021 ◽  
Vol 202 ◽  
pp. 105284
Author(s):  
Yafu Zhang ◽  
Jinman Wang ◽  
Yu Feng

2020 ◽  
Vol 112 (5) ◽  
pp. 4358-4372
Author(s):  
Meiqi Chen ◽  
Jisheng Xu ◽  
Zengqiang Li ◽  
Bingzi Zhao ◽  
Jiabao Zhang

2021 ◽  
Vol 10 (1) ◽  
pp. 3492-3500
Author(s):  
Vipin Y. Borole ◽  
◽  
Sonali B. Kulkarni ◽  

Soil properties may be varied by spatially and temporally with different agricultural practices. An accurate and reliable soil properties assessment is challenging issue in soil analysis. The soil properties assessment is very important for understanding the soil properties, nutrient management, influence of fertilizers and relation between soil properties which are affecting the plant growth. Conventional laboratory methods used to analyses soil properties are generally impractical because they are time-consuming, expensive and sometimes imprecise. On other hand, Visible and infrared spectroscopy can effectively characterize soil. Spectroscopic measurements are rapid, precise and inexpensive. Soil spectroscopy has shown to be a fast, cost-effective, environmentally friendly, non-destructive, reproducible and repeatable analytical technique. In the present research, we use spectroscopy techniques for soil properties analysis. The spectra of agglomerated farming soils were acquired by the ASD Field spec 4 spectroradiometer. Different fertilizers treatment applied soil samples are collected in pre monsoon and post monsoon season for 2 year (4 season) for banana and cotton crops in the form of DS-I and DS-II respectively. The soil spectra of VNIR region were preprocessed to get pure spectra. Then process the acquired spectral data by statistical methods for quantitative analysis of soil properties. The detected soil properties were carbon, Nitrogen, soil organic matter, pH, phosphorus, potassium, moisture sand, silt and clay. Soil pH is most important chemical properties that describe the relative acidity or alkalinity of the soil. It directly effect on plant growth and other soil properties. The relationship between pH properties on soil physical and chemical parameters and their influence were analyses by using linear regression model and show the performance of regression model with R2 and RMSE. Keywords soil; physicochemical properties; spectroscopy; pH


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