Oil palm is cultivated by agro-industries and smallholders for vegetable oil production. Good farm management practices with balanced soil and plant macronutrients are needed to attain optimum yields. Smallholder oil ...Oil palm is cultivated by agro-industries and smallholders for vegetable oil production. Good farm management practices with balanced soil and plant macronutrients are needed to attain optimum yields. Smallholder oil palm farmers of Dibombari Sub-Division, Cameroon, suffer from low on farm yields which could emanate from the agronomic practices implemented, which also has an influence on the soil and plant macronutrient status. This study provides information on the agronomic practices, soil and plant macronutrients status in smallholder oil palm fields. Structured questionnaires were administered to 200 farmers to collect data on their agronomic practices, using a stratified random sampling design. Soil and plants were sampled from plantations of different age groups (control, >0 - 4 years, >4 - 8 years and >8 - 15 years’ plantations) in four locations of the Sub-Division (i.e. Dibombari-central, Bonamateke, Bomono and Nkapa) using a randomized complete block design. Data collected, was analyzed using descriptive and inferential statistics. The results showed that 65% of farmers planted Tenera variety, with majority of them below the standards for weeding (81%), fertilizer use (100%), pruning (62%), pest/disease control (90.5%) and harvesting (96%) practices. Soil macronutrients were low across the different plantations except P which was optimal at >0 - 4 years and >4 - 8 years’ plantations but low at >8 - 15 years’ plantation. Similarly, for plant macronutrients, N and P were optimal across the different plantations, while K and Mg were optimal at >0 - 4 years’ plantation but low at >4 - 8 years and >8 - 15 years’ plantations. Thus, agronomic practices and macronutrient status of soil and plants were below standards in smallholder oil palm plantations of Dibombari, leading to low yields of fresh fruit bunches.展开更多
Soil quality determination and estimation is an important issue not only for terrestrial ecosystems but also for sustainable management of soils.In this study,soil quality was determined by linear and nonlinear standa...Soil quality determination and estimation is an important issue not only for terrestrial ecosystems but also for sustainable management of soils.In this study,soil quality was determined by linear and nonlinear standard scoring function methods integrated with a neutrosophic fuzzy analytic hierarchy process in the micro catchment.In addition,soil quality values were estimated using a support vector machine(SVM)in machine learning algorithms.In order to generate spatial distribution maps of soil quality indice values,different interpolation methods were evaluated to detect the most suitable semivariogram model.While the soil quality index values obtained by the linear method were determined between 0.458-0.717,the soil quality index with the nonlinear method showed variability at the levels of 0.433-0.651.There was no statistical difference between the two methods,and they were determined to be similar.In the estimation of soil quality with SVM,the normalized root means square error(NRMSE)values obtained in the linear and nonlinear method estimation were determined as 0.057 and 0.047,respectively.The spherical model of simple kriging was determined as the interpolation method with the lowest RMSE value in the actual and predicted values of the linear method while,in the nonlinear method,the lowest error in the distribution maps was determined with exponential of the simple kriging.展开更多
Tomato (Solanum lycopersicum Mill) is a staple fruit vegetable widely grown worldwide for its rich nutrients including vitamins, minerals and proteins. In spite of its importance, yield and fruit quality in Buea, Came...Tomato (Solanum lycopersicum Mill) is a staple fruit vegetable widely grown worldwide for its rich nutrients including vitamins, minerals and proteins. In spite of its importance, yield and fruit quality in Buea, Cameroon is quite low compared to other countries. Pests and diseases are responsible for these limitations. Those of high importance are pinworm (Tatu absoluta) and Fusarium wilt respectively. Synthetic chemicals have been used to manage this pest/disease on tomato but this has not been very successful because of high cost and unavailability of these chemicals. Botanicals are known to have anti-microbial properties. 10% Leeks and marigold extracts were applied to tomato plants one week after planting. Five treatments were replicated four times in a randomized complete block. They include a control, a synthetic insecticide, leeks extract, marigold extract, and leeks/marigold extracts. Growth and yield parameters were evaluated and data obtained was analysed by descriptive statistics and ANOVA. Results showed that more tomato plant leaves were recorded in the leeks + marigold treatment (54) which differed significantly (P = 0.05) from the control (45). More fruits were harvested in the leeks + marigold treatment (32) which differed significantly (P = 0.05) from the control (18). Pinworm numbers were significantly higher in control (6) (P = 0.05) than the other treatments. Numerous leaf damage was observed in control (20) which differed significantly (P = 0.05) across treatments. More fruit damage was seen in control (14) and differed significantly (P = 0.05) from the other treatments. The least disease incidence was noted in Leeks + Marigold treatment (27.5%), and the most in control (72.5%) which differed significantly (P = 0.05) across treatments. Fusarium oxysporium and Fusarium semitectum were identified. There was a significant difference in pathogen number in control compared to other treatments. Thus leeks and marigold extract increased yield of tomato by mitigating the effects of leaf miner and fusarium wilt.展开更多
Maize being sub-tropical crop is sensitive to water deficit during the early growth stages;particularly clay-rich soil,due to the compaction of the soil.It is well-documented that potential sub-surface drip irrigation...Maize being sub-tropical crop is sensitive to water deficit during the early growth stages;particularly clay-rich soil,due to the compaction of the soil.It is well-documented that potential sub-surface drip irrigation(SDI)(Full irrigation;SDIFull(100%field capacity(FC)),Deficit irrigation;SDIDeficit(70%FC))improves water use efficiency,which leads to increased crop productivity;since it has a constraint that SDI excludes soil air around the root-zone during irrigation events,which alter the root function and crop performance.Additionally,in clay-rich soils,the root system of plants generally suffers the limitation of oxygen,particularly the temporal hypoxia,and occasionally from root anoxia;while SDI system accomplishes with the aerating stream of irrigation in the rhizosphere could provide oxygen root environment.The oxygen can be introduced into the irrigation stream of SDI through two ways:the venturi principle,or by using solutions of hydrogen peroxide through the air injection system.Therefore,the application of hydrogen peroxide(H_(2)O_(2);HP)can mitigate the adverse effect of soil compactness and also lead to improving the growth,yield and yield attributes of maize in clay-rich soil.Considering the burning issue,a field study was conducted in consecutive two seasons of 2017 and 2018;where hybrid maize was cultivated as a second crop,to evaluate the effect of liquid-injection of H_(2)O_(2)(HP)into the irrigation stream of SDI on the performance of maize in a clay-rich soil field of Adana,Turkey.When soil water content decreased in 50%of avail-able water,irrigation was performed.The amount of water applied to reach the soil water content to the field capacity is SDIFull(100%FC)and 70%FC of this water is SDIDeficit(70%FC).In the irrigation program,hydrogen peroxide(HP)was applied at intervals of 7 days on average according to available water with and without HP:SDIFull(100%FC)+0 ppm HP with full SDI irrigation;SDIFull(100%FC)+250 ppm HP with deficit SDI irrigation;SDIDeficit(70%FC)+0 ppm HP,SDIDeficit(70%FC)+250 ppm HP and SDIDeficit(70%FC)+500 ppm HP.Deficit irrigation(SDIDeficit(70%FC))program was started from tasseling stage and continued up to the physiological maturity stage with sub-soil drip irrigation.H_(2)O_(2) was applied 3 times during the growing season.Two years’results revealed that the liquid-injection of H_(2)O_(2) into the irrigation stream of SDI improved the growth and yield-related attributes and grain yield of maize.Based on the obtained results,during the extreme climatic condition in the year 2017,SDIFull(100%FC)+250 ppm HP was more effective than SDIFull(100%FC)+0 ppm HP on all traits for relative to full irrigation.While,during the favourable climatic condition in the 2018 season,SDIFull(100%FC)+250 ppm HP was more effective than full irrigation with SDIFull(100%FC)+0 ppm HP for the grain yield,grains,and SPAD value.Accordingly,the most effective treatment was SDIFull(100%FC)+250 ppm HP,as it gave the highest growth and yield-related attributes and grain yield of maize followed by SDIDeficit(70%FC)+250 ppm HP.Therefore,SDIFull with 250 ppm H_(2)O_(2) using as liquid-injection may be recommended to mitigate the adverse effect of soil compactness particularly water-deficit stress in clay-rich soil for the sustainability of maize production.展开更多
Since there are some signs of land degradation and desertification showing how soil sustainability is threatened, it is crucial to create a soil quality index(SQI) model in the semi-arid ?orum Basin, situated between ...Since there are some signs of land degradation and desertification showing how soil sustainability is threatened, it is crucial to create a soil quality index(SQI) model in the semi-arid ?orum Basin, situated between the Black Sea and Anatolia Region, Central Turkey. The primary aims of the study are:(1) to determine SQI values of the micro-basin in terms of land degradation and desertification.Moreover, the best-worst method(BWM) was used to determine the weighting score for each parameter;(2) to produce the soils' spatial distribution by utilizing different geostatistical models and GIS(geographic information system) techniques;and(3) to validate the obtained SQI values with biomass reflectance values. Therefore, the relationship of RE-OSAVI(red-edge optimized soil-adjusted vegetation index) and NDVI(normalized difference vegetation index) generated from Sentinel-2A satellite images at different time series with soil quality was examined. Results showed that SQI values were high in the areas that had almost a flat and slight slope. Moreover, the areas with high clay content and thick soil depth did not have salinity problems, and were generally distributed in the middle parts of the basin. However, the areas with a high slope, poor vegetation, high sand content, and low water holding capacity had low SQI values.Furthermore, a statistically high positive correlation of RE-OSAVI and NDVI indices with soil quality was found, and NDVI had the highest correlative value for June(R~2=0.802) compared with RE-OSAVI.展开更多
The name of Vertisol is derived from Latin “vertere” meaning to invert. This case restricts development of soil horizons in profile. These soils have the capacity to swell and shrink, inducing cracks in the upper pa...The name of Vertisol is derived from Latin “vertere” meaning to invert. This case restricts development of soil horizons in profile. These soils have the capacity to swell and shrink, inducing cracks in the upper parts of the soil and distinctive soil structure throughout the soil. The formation of these specific features are caused by a heavy texture, a dominance of swelling clay in the fine fraction and marked changes in moisture content. The swell-shrink behavior is attributed to the wetting and drying of the soil mass. In this study, morphology, physico-chemical characteristics and classification of vertisols that were formed on alluvial delta plains, were investigated. Those soils formed on the Bafra Plain found in the K?z?l?rmak Delta and located in the central Black Sea region of Turkey. All studied Vertisols are characterised by a dark colour in surface soil, a heavy clayey texture, hardpan formation under top soil (high bulk density a high compaction) and very high COLE values. In addition, they have deep wide-opened desiccation cracks at the surface, slickensides at the middle part of the profiles and a poor differentiation of their horizons. Physico-chemically, the studied soils are slightly basic to very basic, non-saline and poor in organic matter, which is slightly higher in the surface horizon. In addition, cation exchange capacity, sum of exchangeable bases and base saturation of soils are very high. On the basis of morphological and physicochemical analysis, soil profiles were classified as Sodic Haplustert, Typic Calciaquert, Sodic Calciustert according to Soil Taxonomy (Soil Survey Staff, 1975 and 1999) and as Sodic Vertisol and Calcic Vertisol according to FAO/ISRIC (2006) classification systems.展开更多
This study was carried out to evaluate the water quality of selected dam lakes as well as their suitability for agricultural irrigation.Seven dams were selected for water sampling and samples were collected monthly,in...This study was carried out to evaluate the water quality of selected dam lakes as well as their suitability for agricultural irrigation.Seven dams were selected for water sampling and samples were collected monthly,including during the irrigation season for a period of one year from March to September 2019.The samples were analyzed for temperature,pH,physicochemical parameters such as temperature,pH value,salinity(EC),anions(CO_(3),HCO_(3),CI,SO_(4),P,NO_(3)),cations(Na,K,Ca,Mg,B,NH_(4))and heavy metals.The irrigation suitability assessment was made using various indices such as SAR(sodium adsorption rate),TDS(total dissolved solids),Na%(sodium percentage),RSC(residual sodium bicarbonate),MAR(magnesium adsorption rate),KR(Kelly ratio),and PI(permeability index).The temperature values of the water samples varied between 5.8℃-25.1℃,pH and EC values changed between 7.51 and 8.46,282,and 1400μS/cm respectively.The water samples were evaluated as C_(2)S_(1) and C_(3)S_(1) irrigation water classes.The heavy metal contents of the water samples were determined below the limit values.Selected dams were found suitable for irrigation in terms of EC(salinity),SAR(sodium adsorption rate),TDS(total dissolved solids),Na%(sodium percentage),RSC(residual sodium bicarbonate),MAR(magnesium adsorption rate),and KR(Kelly ratio).Water samples were determined as the second class of PI(permeability index).Güllübağdam was not found suitable as irrigation water in terms of EC,Na%,RSC,and KR values.As a result,it specifically points to the restrictions on the use of water from the Güllübağdam for irrigation purposes.展开更多
The Burdur Lake is located in the southwest of Turkey,and its area has decreased by 40% from 211 km^(2) in 1975 to 126 km^(2) in 2019.In this study,we investigated how the soil has changed in the lacustrine material.T...The Burdur Lake is located in the southwest of Turkey,and its area has decreased by 40% from 211 km^(2) in 1975 to 126 km^(2) in 2019.In this study,we investigated how the soil has changed in the lacustrine material.Three soil profiles were sampled from the former lakebed(chronosequence profiles:P1,2007;P2,1994;and P3,1975),and three soil profiles under different land use types(biosequence profiles:P4,native forest vegetation;P5,agriculture;and P6,lakebed)were sampled.The chronosequence and biosequence soil profiles represented various distances from the Burdur Lake and showed different stages of lacustrine evolution.Soil electrical conductivity(EC;18.1 to 0.4 dS m^(-1)),exchangeable Na^(+)(34.7 to 1.4 cmol kg^(-1))and K^(+)(0.61 to 0.56 cmol kg^(-1)),and water-soluble Cl^(-)(70.3 to 2.1 cmol L^(-1))and SO_(4)^(2-)(275.9 to 25.0 cmol L^(-1))decreased with increasing distance from the Burdur Lake,whereas the A horizon thickness(10 to 48 cm),structure formation(0 to 48 cm),gleization-oxidation depth(0 to 79 cm),and montmorillonite and organic matter(OM;25.9 to 46.0 g kg^(-1))contents increased in the chronosequence soil profiles.The formation of P3 in the chronosequence and P5 in the biosequence soil profiles increased due to longer exposure to pedogenic processes(time,land use,vegetation,etc.).Changes in EC,exchangeable cation(Na^(+) and K^(+))and water-soluble anion(Cl^(-) and SO_(4)^(2-))concentrations of the salt-enriched horizon,OM,gleization-oxidation depth,A horizon thickness,and structure formation of the chronosequence and biosequence soil profiles(especially the topsoil horizon)were highly related to the distance from the Burdur Lake,time,and land use.展开更多
Visible near-infrared (vis-NIR) and portable X-ray fluorescence (pXRF) spectrometers have been increasingly utilized for predicting soil properties worldwide. However, only a few studies have focused on splitting the ...Visible near-infrared (vis-NIR) and portable X-ray fluorescence (pXRF) spectrometers have been increasingly utilized for predicting soil properties worldwide. However, only a few studies have focused on splitting the predictive models by horizons to evaluate prediction performance and systematically compare prediction performance for A, B, and combined A+B horizons. Therefore, we investigated the performance of pXRF and vis-NIR spectra, as individual or combined, for predicting the clay, silt, sand, total carbon (TC), and pH of soils developed in loess, and compared their prediction performance for A, B, and A+B horizons. Soil samples (176 in A horizon and 172 in B horizon) were taken from Mollisols and Alfisols in 136 pedons in Wisconsin, USA and analyzed for clay, silt, sand, pH, and TC. The pXRF and vis-NIR spectrometers were used to measure the pXRF and vis-NIR soil spectra. Data were separated into calibration (n = 244, 70%) and validation (n = 104, 30%) datasets. The Savitzky-Golay filter was applied to preprocess the pXRF and vis-NIR spectra, and the first 10 principal components (PCs) were selected through principal component analysis (PCA). Five types of predictor, i.e., PCs from vis-NIR spectra, pXRF of beams at 0–40 and 0–10 keV (XRF40 and XRF10, respectively) spectra, combined XRF40 and XRF10 (XRF40+XRF10) spectra, and combined XRF40, XRF10, and vis-NIR (XRF40+XRF10+vis-NIR) spectra, were compared for predicting soil properties using a machine learning algorithm (Cubist model). A multiple linear regression (MLR) model was applied to predict clay, silt, sand, pH, and TC using pXRF elements. The results suggested that pXRF spectra had better prediction performance for clay, silt, and sand, whereas vis-NIR spectra produced better TC and pH predictions. The best prediction performance for sand (R2= 0.97), silt (R2= 0.95), and clay (R2= 0.84) was achieved using vis-NIR+XRF40+XRF10 spectra in B horizon, whereas the best prediction performance for TC (R2= 0.93) and pH (R2= 0.79) was achieved using vis-NIR+XRF40+XRF10 spectra in A+B horizon. For all soil properties, the best MLR model had a lower prediction accuracy than the Cubist model. It was concluded that pXRF and vis-NIR spectra can be successfully applied for predicting clay, silt, sand, pH, and TC with high accuracy for soils developed in loess, and that spectral models should be developed for different horizons to achieve high prediction accuracy.展开更多
The main aims of the current study are to determine the morphological features of the periglacial landforms(non-sorted step,mud circle,stony earth circle,thufur,and congeliturbation)located on the Ilgaz Mountains,exam...The main aims of the current study are to determine the morphological features of the periglacial landforms(non-sorted step,mud circle,stony earth circle,thufur,and congeliturbation)located on the Ilgaz Mountains,examine the physicochemical and mineralogical properties with pedological processes of the soils,and assess of the effects of climatic conditions controlling the development of landforms.The Ilgaz Mountains(2587 m a.s.l.),located in the Western Black Sea Region,within the Anatolian Mountains,are important in terms of periglacial landforms(mud circles,stony earth circles,thufurs,non-sorted steps,non-sorted stripes,congeliturbation deposits,and block currents).The descriptive statistics of 123 periglacial landforms measured by fieldworks were analyzed.The distribution of freezing and thawing in the Ilgaz Mountains throughout the year was evaluated,and it was found that freezing takes place between December and March,freezing-thawing takes place in April,May,October and November,and thawing takes place between June and October.Accoding to soil properties,organic matter content changes from 1.88%to 12.72%in non-sorted step soils,while it is between 2.03%and 12.24%in stony earth circle soils.The organic matter is observed to be close to congeliturbation deposits at lower ratios compared to non-sorted steps,stony earth circles and mud circles.The soil reactions on stony earth circles and non-sorted steps vary between slightly acidic and slightly alkaline.On the other hand,soil samples taken from the mud circles are different from those taken from the non-sorted steps and stony earth circles.Their soil reaction is acidic,and pH changes between 4.86 and 6.25.The lime content also varies between 2.81%and 32.08%,with an average of 12.02%.The texture properties of soils are dominantly loam and clay loam,as in the non-sorted steps,stony earth circles,and mud circles.Considering their mineralogical properties,the XRD study was carried out to determine the primer mineral types and abundance degrees of soils of periglacial landforms.Quartz,muscovite and albite minerals were found in soils in the stony earth circle,while quartz,muscovite,orthoclase and albite minerals were determined as primary minerals in soils formed on the thufur landforms.展开更多
This paper introduces biogas potential of animal waste in Bursa,an important agricultural,industrial and tourism centre in northwest Turkey.This research has focused on Bursa’s biogas potential from animal wastes.The...This paper introduces biogas potential of animal waste in Bursa,an important agricultural,industrial and tourism centre in northwest Turkey.This research has focused on Bursa’s biogas potential from animal wastes.The potential quantity of electric energy,the potential amount of biogas as well as potential bio-electric energy per capita to be obtained from animal wastes were studied.If the evaluation of biogas potential is conducted thoroughly,1.12% of the electricity consumption of Bursa can be met with the conversion of biogas from animal wastes into electricity.This study also revealed that the power for 95% of street lighting,approximately twofold of the electricity consumed in official apartments and all of the agricultural irrigation operations can be provided with electrical energy obtained from biogas obtained from animal wastes in Bursa.In addition,the research efficiency was improved by creating thematic maps in GIS,which enabled differences in data among the districts to be observed more clearly.展开更多
文摘Oil palm is cultivated by agro-industries and smallholders for vegetable oil production. Good farm management practices with balanced soil and plant macronutrients are needed to attain optimum yields. Smallholder oil palm farmers of Dibombari Sub-Division, Cameroon, suffer from low on farm yields which could emanate from the agronomic practices implemented, which also has an influence on the soil and plant macronutrient status. This study provides information on the agronomic practices, soil and plant macronutrients status in smallholder oil palm fields. Structured questionnaires were administered to 200 farmers to collect data on their agronomic practices, using a stratified random sampling design. Soil and plants were sampled from plantations of different age groups (control, >0 - 4 years, >4 - 8 years and >8 - 15 years’ plantations) in four locations of the Sub-Division (i.e. Dibombari-central, Bonamateke, Bomono and Nkapa) using a randomized complete block design. Data collected, was analyzed using descriptive and inferential statistics. The results showed that 65% of farmers planted Tenera variety, with majority of them below the standards for weeding (81%), fertilizer use (100%), pruning (62%), pest/disease control (90.5%) and harvesting (96%) practices. Soil macronutrients were low across the different plantations except P which was optimal at >0 - 4 years and >4 - 8 years’ plantations but low at >8 - 15 years’ plantation. Similarly, for plant macronutrients, N and P were optimal across the different plantations, while K and Mg were optimal at >0 - 4 years’ plantation but low at >4 - 8 years and >8 - 15 years’ plantations. Thus, agronomic practices and macronutrient status of soil and plants were below standards in smallholder oil palm plantations of Dibombari, leading to low yields of fresh fruit bunches.
文摘Soil quality determination and estimation is an important issue not only for terrestrial ecosystems but also for sustainable management of soils.In this study,soil quality was determined by linear and nonlinear standard scoring function methods integrated with a neutrosophic fuzzy analytic hierarchy process in the micro catchment.In addition,soil quality values were estimated using a support vector machine(SVM)in machine learning algorithms.In order to generate spatial distribution maps of soil quality indice values,different interpolation methods were evaluated to detect the most suitable semivariogram model.While the soil quality index values obtained by the linear method were determined between 0.458-0.717,the soil quality index with the nonlinear method showed variability at the levels of 0.433-0.651.There was no statistical difference between the two methods,and they were determined to be similar.In the estimation of soil quality with SVM,the normalized root means square error(NRMSE)values obtained in the linear and nonlinear method estimation were determined as 0.057 and 0.047,respectively.The spherical model of simple kriging was determined as the interpolation method with the lowest RMSE value in the actual and predicted values of the linear method while,in the nonlinear method,the lowest error in the distribution maps was determined with exponential of the simple kriging.
文摘Tomato (Solanum lycopersicum Mill) is a staple fruit vegetable widely grown worldwide for its rich nutrients including vitamins, minerals and proteins. In spite of its importance, yield and fruit quality in Buea, Cameroon is quite low compared to other countries. Pests and diseases are responsible for these limitations. Those of high importance are pinworm (Tatu absoluta) and Fusarium wilt respectively. Synthetic chemicals have been used to manage this pest/disease on tomato but this has not been very successful because of high cost and unavailability of these chemicals. Botanicals are known to have anti-microbial properties. 10% Leeks and marigold extracts were applied to tomato plants one week after planting. Five treatments were replicated four times in a randomized complete block. They include a control, a synthetic insecticide, leeks extract, marigold extract, and leeks/marigold extracts. Growth and yield parameters were evaluated and data obtained was analysed by descriptive statistics and ANOVA. Results showed that more tomato plant leaves were recorded in the leeks + marigold treatment (54) which differed significantly (P = 0.05) from the control (45). More fruits were harvested in the leeks + marigold treatment (32) which differed significantly (P = 0.05) from the control (18). Pinworm numbers were significantly higher in control (6) (P = 0.05) than the other treatments. Numerous leaf damage was observed in control (20) which differed significantly (P = 0.05) across treatments. More fruit damage was seen in control (14) and differed significantly (P = 0.05) from the other treatments. The least disease incidence was noted in Leeks + Marigold treatment (27.5%), and the most in control (72.5%) which differed significantly (P = 0.05) across treatments. Fusarium oxysporium and Fusarium semitectum were identified. There was a significant difference in pathogen number in control compared to other treatments. Thus leeks and marigold extract increased yield of tomato by mitigating the effects of leaf miner and fusarium wilt.
基金This publication was supported by Award Number(BAP,FÖA-2016-6152)from the Research Foundation of the Cukurova University,Adana,Turkey and Principal Investigator,Prof.Dr.Alhan Sariyev“https://bap.cu.edu.tr/.”
文摘Maize being sub-tropical crop is sensitive to water deficit during the early growth stages;particularly clay-rich soil,due to the compaction of the soil.It is well-documented that potential sub-surface drip irrigation(SDI)(Full irrigation;SDIFull(100%field capacity(FC)),Deficit irrigation;SDIDeficit(70%FC))improves water use efficiency,which leads to increased crop productivity;since it has a constraint that SDI excludes soil air around the root-zone during irrigation events,which alter the root function and crop performance.Additionally,in clay-rich soils,the root system of plants generally suffers the limitation of oxygen,particularly the temporal hypoxia,and occasionally from root anoxia;while SDI system accomplishes with the aerating stream of irrigation in the rhizosphere could provide oxygen root environment.The oxygen can be introduced into the irrigation stream of SDI through two ways:the venturi principle,or by using solutions of hydrogen peroxide through the air injection system.Therefore,the application of hydrogen peroxide(H_(2)O_(2);HP)can mitigate the adverse effect of soil compactness and also lead to improving the growth,yield and yield attributes of maize in clay-rich soil.Considering the burning issue,a field study was conducted in consecutive two seasons of 2017 and 2018;where hybrid maize was cultivated as a second crop,to evaluate the effect of liquid-injection of H_(2)O_(2)(HP)into the irrigation stream of SDI on the performance of maize in a clay-rich soil field of Adana,Turkey.When soil water content decreased in 50%of avail-able water,irrigation was performed.The amount of water applied to reach the soil water content to the field capacity is SDIFull(100%FC)and 70%FC of this water is SDIDeficit(70%FC).In the irrigation program,hydrogen peroxide(HP)was applied at intervals of 7 days on average according to available water with and without HP:SDIFull(100%FC)+0 ppm HP with full SDI irrigation;SDIFull(100%FC)+250 ppm HP with deficit SDI irrigation;SDIDeficit(70%FC)+0 ppm HP,SDIDeficit(70%FC)+250 ppm HP and SDIDeficit(70%FC)+500 ppm HP.Deficit irrigation(SDIDeficit(70%FC))program was started from tasseling stage and continued up to the physiological maturity stage with sub-soil drip irrigation.H_(2)O_(2) was applied 3 times during the growing season.Two years’results revealed that the liquid-injection of H_(2)O_(2) into the irrigation stream of SDI improved the growth and yield-related attributes and grain yield of maize.Based on the obtained results,during the extreme climatic condition in the year 2017,SDIFull(100%FC)+250 ppm HP was more effective than SDIFull(100%FC)+0 ppm HP on all traits for relative to full irrigation.While,during the favourable climatic condition in the 2018 season,SDIFull(100%FC)+250 ppm HP was more effective than full irrigation with SDIFull(100%FC)+0 ppm HP for the grain yield,grains,and SPAD value.Accordingly,the most effective treatment was SDIFull(100%FC)+250 ppm HP,as it gave the highest growth and yield-related attributes and grain yield of maize followed by SDIDeficit(70%FC)+250 ppm HP.Therefore,SDIFull with 250 ppm H_(2)O_(2) using as liquid-injection may be recommended to mitigate the adverse effect of soil compactness particularly water-deficit stress in clay-rich soil for the sustainability of maize production.
文摘Since there are some signs of land degradation and desertification showing how soil sustainability is threatened, it is crucial to create a soil quality index(SQI) model in the semi-arid ?orum Basin, situated between the Black Sea and Anatolia Region, Central Turkey. The primary aims of the study are:(1) to determine SQI values of the micro-basin in terms of land degradation and desertification.Moreover, the best-worst method(BWM) was used to determine the weighting score for each parameter;(2) to produce the soils' spatial distribution by utilizing different geostatistical models and GIS(geographic information system) techniques;and(3) to validate the obtained SQI values with biomass reflectance values. Therefore, the relationship of RE-OSAVI(red-edge optimized soil-adjusted vegetation index) and NDVI(normalized difference vegetation index) generated from Sentinel-2A satellite images at different time series with soil quality was examined. Results showed that SQI values were high in the areas that had almost a flat and slight slope. Moreover, the areas with high clay content and thick soil depth did not have salinity problems, and were generally distributed in the middle parts of the basin. However, the areas with a high slope, poor vegetation, high sand content, and low water holding capacity had low SQI values.Furthermore, a statistically high positive correlation of RE-OSAVI and NDVI indices with soil quality was found, and NDVI had the highest correlative value for June(R~2=0.802) compared with RE-OSAVI.
文摘The name of Vertisol is derived from Latin “vertere” meaning to invert. This case restricts development of soil horizons in profile. These soils have the capacity to swell and shrink, inducing cracks in the upper parts of the soil and distinctive soil structure throughout the soil. The formation of these specific features are caused by a heavy texture, a dominance of swelling clay in the fine fraction and marked changes in moisture content. The swell-shrink behavior is attributed to the wetting and drying of the soil mass. In this study, morphology, physico-chemical characteristics and classification of vertisols that were formed on alluvial delta plains, were investigated. Those soils formed on the Bafra Plain found in the K?z?l?rmak Delta and located in the central Black Sea region of Turkey. All studied Vertisols are characterised by a dark colour in surface soil, a heavy clayey texture, hardpan formation under top soil (high bulk density a high compaction) and very high COLE values. In addition, they have deep wide-opened desiccation cracks at the surface, slickensides at the middle part of the profiles and a poor differentiation of their horizons. Physico-chemically, the studied soils are slightly basic to very basic, non-saline and poor in organic matter, which is slightly higher in the surface horizon. In addition, cation exchange capacity, sum of exchangeable bases and base saturation of soils are very high. On the basis of morphological and physicochemical analysis, soil profiles were classified as Sodic Haplustert, Typic Calciaquert, Sodic Calciustert according to Soil Taxonomy (Soil Survey Staff, 1975 and 1999) and as Sodic Vertisol and Calcic Vertisol according to FAO/ISRIC (2006) classification systems.
文摘This study was carried out to evaluate the water quality of selected dam lakes as well as their suitability for agricultural irrigation.Seven dams were selected for water sampling and samples were collected monthly,including during the irrigation season for a period of one year from March to September 2019.The samples were analyzed for temperature,pH,physicochemical parameters such as temperature,pH value,salinity(EC),anions(CO_(3),HCO_(3),CI,SO_(4),P,NO_(3)),cations(Na,K,Ca,Mg,B,NH_(4))and heavy metals.The irrigation suitability assessment was made using various indices such as SAR(sodium adsorption rate),TDS(total dissolved solids),Na%(sodium percentage),RSC(residual sodium bicarbonate),MAR(magnesium adsorption rate),KR(Kelly ratio),and PI(permeability index).The temperature values of the water samples varied between 5.8℃-25.1℃,pH and EC values changed between 7.51 and 8.46,282,and 1400μS/cm respectively.The water samples were evaluated as C_(2)S_(1) and C_(3)S_(1) irrigation water classes.The heavy metal contents of the water samples were determined below the limit values.Selected dams were found suitable for irrigation in terms of EC(salinity),SAR(sodium adsorption rate),TDS(total dissolved solids),Na%(sodium percentage),RSC(residual sodium bicarbonate),MAR(magnesium adsorption rate),and KR(Kelly ratio).Water samples were determined as the second class of PI(permeability index).Güllübağdam was not found suitable as irrigation water in terms of EC,Na%,RSC,and KR values.As a result,it specifically points to the restrictions on the use of water from the Güllübağdam for irrigation purposes.
基金supported by the Scientific Research Projects(BAP)(No.2017-2800)of Akdeniz University,Turkeysupported by the Scientific Research Projects(BAP)(No.2019-2757)of Eskisehir Osmangazi University,Turkey for postdoc researchers at the Department of Soil Science,University of Wisconsin-Madison,USA。
文摘The Burdur Lake is located in the southwest of Turkey,and its area has decreased by 40% from 211 km^(2) in 1975 to 126 km^(2) in 2019.In this study,we investigated how the soil has changed in the lacustrine material.Three soil profiles were sampled from the former lakebed(chronosequence profiles:P1,2007;P2,1994;and P3,1975),and three soil profiles under different land use types(biosequence profiles:P4,native forest vegetation;P5,agriculture;and P6,lakebed)were sampled.The chronosequence and biosequence soil profiles represented various distances from the Burdur Lake and showed different stages of lacustrine evolution.Soil electrical conductivity(EC;18.1 to 0.4 dS m^(-1)),exchangeable Na^(+)(34.7 to 1.4 cmol kg^(-1))and K^(+)(0.61 to 0.56 cmol kg^(-1)),and water-soluble Cl^(-)(70.3 to 2.1 cmol L^(-1))and SO_(4)^(2-)(275.9 to 25.0 cmol L^(-1))decreased with increasing distance from the Burdur Lake,whereas the A horizon thickness(10 to 48 cm),structure formation(0 to 48 cm),gleization-oxidation depth(0 to 79 cm),and montmorillonite and organic matter(OM;25.9 to 46.0 g kg^(-1))contents increased in the chronosequence soil profiles.The formation of P3 in the chronosequence and P5 in the biosequence soil profiles increased due to longer exposure to pedogenic processes(time,land use,vegetation,etc.).Changes in EC,exchangeable cation(Na^(+) and K^(+))and water-soluble anion(Cl^(-) and SO_(4)^(2-))concentrations of the salt-enriched horizon,OM,gleization-oxidation depth,A horizon thickness,and structure formation of the chronosequence and biosequence soil profiles(especially the topsoil horizon)were highly related to the distance from the Burdur Lake,time,and land use.
基金supported by the Scientific Research Projects(BAP)(No.2019-2757)of Eskisehir Osmangazi University for postdoc research at the Department of Soil Science,University of Wise on sin-Madison.
文摘Visible near-infrared (vis-NIR) and portable X-ray fluorescence (pXRF) spectrometers have been increasingly utilized for predicting soil properties worldwide. However, only a few studies have focused on splitting the predictive models by horizons to evaluate prediction performance and systematically compare prediction performance for A, B, and combined A+B horizons. Therefore, we investigated the performance of pXRF and vis-NIR spectra, as individual or combined, for predicting the clay, silt, sand, total carbon (TC), and pH of soils developed in loess, and compared their prediction performance for A, B, and A+B horizons. Soil samples (176 in A horizon and 172 in B horizon) were taken from Mollisols and Alfisols in 136 pedons in Wisconsin, USA and analyzed for clay, silt, sand, pH, and TC. The pXRF and vis-NIR spectrometers were used to measure the pXRF and vis-NIR soil spectra. Data were separated into calibration (n = 244, 70%) and validation (n = 104, 30%) datasets. The Savitzky-Golay filter was applied to preprocess the pXRF and vis-NIR spectra, and the first 10 principal components (PCs) were selected through principal component analysis (PCA). Five types of predictor, i.e., PCs from vis-NIR spectra, pXRF of beams at 0–40 and 0–10 keV (XRF40 and XRF10, respectively) spectra, combined XRF40 and XRF10 (XRF40+XRF10) spectra, and combined XRF40, XRF10, and vis-NIR (XRF40+XRF10+vis-NIR) spectra, were compared for predicting soil properties using a machine learning algorithm (Cubist model). A multiple linear regression (MLR) model was applied to predict clay, silt, sand, pH, and TC using pXRF elements. The results suggested that pXRF spectra had better prediction performance for clay, silt, and sand, whereas vis-NIR spectra produced better TC and pH predictions. The best prediction performance for sand (R2= 0.97), silt (R2= 0.95), and clay (R2= 0.84) was achieved using vis-NIR+XRF40+XRF10 spectra in B horizon, whereas the best prediction performance for TC (R2= 0.93) and pH (R2= 0.79) was achieved using vis-NIR+XRF40+XRF10 spectra in A+B horizon. For all soil properties, the best MLR model had a lower prediction accuracy than the Cubist model. It was concluded that pXRF and vis-NIR spectra can be successfully applied for predicting clay, silt, sand, pH, and TC with high accuracy for soils developed in loess, and that spectral models should be developed for different horizons to achieve high prediction accuracy.
文摘The main aims of the current study are to determine the morphological features of the periglacial landforms(non-sorted step,mud circle,stony earth circle,thufur,and congeliturbation)located on the Ilgaz Mountains,examine the physicochemical and mineralogical properties with pedological processes of the soils,and assess of the effects of climatic conditions controlling the development of landforms.The Ilgaz Mountains(2587 m a.s.l.),located in the Western Black Sea Region,within the Anatolian Mountains,are important in terms of periglacial landforms(mud circles,stony earth circles,thufurs,non-sorted steps,non-sorted stripes,congeliturbation deposits,and block currents).The descriptive statistics of 123 periglacial landforms measured by fieldworks were analyzed.The distribution of freezing and thawing in the Ilgaz Mountains throughout the year was evaluated,and it was found that freezing takes place between December and March,freezing-thawing takes place in April,May,October and November,and thawing takes place between June and October.Accoding to soil properties,organic matter content changes from 1.88%to 12.72%in non-sorted step soils,while it is between 2.03%and 12.24%in stony earth circle soils.The organic matter is observed to be close to congeliturbation deposits at lower ratios compared to non-sorted steps,stony earth circles and mud circles.The soil reactions on stony earth circles and non-sorted steps vary between slightly acidic and slightly alkaline.On the other hand,soil samples taken from the mud circles are different from those taken from the non-sorted steps and stony earth circles.Their soil reaction is acidic,and pH changes between 4.86 and 6.25.The lime content also varies between 2.81%and 32.08%,with an average of 12.02%.The texture properties of soils are dominantly loam and clay loam,as in the non-sorted steps,stony earth circles,and mud circles.Considering their mineralogical properties,the XRD study was carried out to determine the primer mineral types and abundance degrees of soils of periglacial landforms.Quartz,muscovite and albite minerals were found in soils in the stony earth circle,while quartz,muscovite,orthoclase and albite minerals were determined as primary minerals in soils formed on the thufur landforms.
文摘This paper introduces biogas potential of animal waste in Bursa,an important agricultural,industrial and tourism centre in northwest Turkey.This research has focused on Bursa’s biogas potential from animal wastes.The potential quantity of electric energy,the potential amount of biogas as well as potential bio-electric energy per capita to be obtained from animal wastes were studied.If the evaluation of biogas potential is conducted thoroughly,1.12% of the electricity consumption of Bursa can be met with the conversion of biogas from animal wastes into electricity.This study also revealed that the power for 95% of street lighting,approximately twofold of the electricity consumed in official apartments and all of the agricultural irrigation operations can be provided with electrical energy obtained from biogas obtained from animal wastes in Bursa.In addition,the research efficiency was improved by creating thematic maps in GIS,which enabled differences in data among the districts to be observed more clearly.
