Evaluation of soil fertility status of Regional Agricultural Research Station, Tarahara, Sunsari, Nepal

Khadka, Dinesh; Lamichhane, Sushil; Shrestha, Surendra Lal; Pant, Buddhi B.

doi:10.18393/ejss.303512

Cited by 18 publications

(22 citation statements)

References 20 publications

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“…Soil pH varied from strongly acidic (< 5.5) in 21.12% to strongly alkaline (> 7.8) in 2.48% of the total area ( Table 4 and Fig 2 ). These results are in agreement with those reported in a recent study of soils of the Terai region [ 22 , 45 ]. The variation in soil pH could be attributed to the nature of the alluvial parent material, micro topography, and the type and history of fertilizer used [ 46 ].…”

Section: Resultssupporting

confidence: 94%

Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS

et al. 2018

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Digital soil mapping has been widely used to develop statistical models of the relationships between environmental variables and soil attributes. This study aimed at determining and mapping the spatial distribution of the variability in soil chemical properties of the agricultural floodplain lands of the Bara district in Nepal. The study was carried out in 23 Village Development Committees with 12,516 ha total area, in the southern part of the Bara district. A total of 109 surface soil samples (0 to 15 cm depth) were collected and analyzed for pH, organic matter (OM), nitrogen (N), phosphorus (P, expressed as P2O5), potassium (K, expressed as K2O), zinc (Zn), and boron (B) status. Descriptive statistics showed that most of the measured soil chemical variables (other than pH and P2O5) were skewed and non-normally distributed and logarithmic transformation was then applied. A geostatistical tool, kriging, was used in ArcGIS to interpolate measured values for those variables and several digital map layers were developed based on each soil chemical property. Geostatistical interpolation identified a moderate spatial variability for pH, OM, N, P2O5, and a weak spatial variability for K2O, Zn, and B, depending upon the use of amendments, fertilizing methods, and tillage, along with the inherent characteristics of each variable. Exponential (pH, OM, N, and Zn), Spherical (K2O and B), and Gaussian (P2O5) models were fitted to the semivariograms of the soil variables. These maps allow farmers to assess existing farm soils, thus allowing them to make easier and more efficient management decisions and maintain the sustainability of productivity.

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Section: Resultssupporting

confidence: 94%

Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS

et al. 2018

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“…Similiarly, Sheykhbaglou et al (2010), Nadi et al (2013) and Singh et al (2017) reported that nano Fe particles have beneficial effects on plant growth criteria and grain yield in soybean and fababean, respectively. Previous researches showed that nano fertilizers lead an increase in the use efficiency of plant nutrients, reduce soil toxicity, decrease the potential adverse effects of excessive chemical fertilizer use and fertilizer application frequency (Brunner et al, 2006;Khadka et al, 2017). Nano fertilizers have large surface area and particle size less than the pore size of root and leaves of the plant which can increase penetration into the plant from applied surface and improve uptake and nutrient use efficiency of the nano fertilizer (Liscano et al, 2000).…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, Rameshaiah et al (2015) reported that excessive doses of nano materials used in agricultural lands may be cause hazardous effects on living organisms and human health. The selection and cultivation of iron toxicity tolerant genotype may be another suitable option for its toxicity management (Khadka et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

Effects of iron sources and doses on plant growth criteria in soybean seedlings

Gülser¹,

Yavuz²,

Gökkaya³

et al. 2019

Eurasian Journal of Soil Science (Ejss)

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In this study, effects of different iron sources and doses on plant growth criteria in soybean (Glycine max L.) seedlings were investigated. The experiment was conducted according to factorial experimental design with three replications under controlled conditions. Atakişi variety of soybean (Glycine max L.) cultivar was used as a plant material. Three soybean seeds were sown each plastic pot having 1.3 kg soil:sand mixed in 1:1 ratio. Three different Fe sources (FeSO4.7H2O, Fe-EDDHA and nanoFe) were applied to the pots with three different doses (0-15-30 mg Fe kg-1). The experiment was ended after five weeks of seed sowing. Shoot length, shoot fresh and dry weights, root length, root fresh and dry weights and number of compound leaf in soybean seedlings were determined at the end of the experiment. The highest shoot fresh and dry weights, root fresh and dry weights, compound leaf number were determined in 15 mg kg-1 nano Fe applications as 3.56 g, 0.83 g, 2.30 g, 0.33 g and 5, respectively. Increasing the application dose of nano-Fe from 15 to 30 mg kg-1 caused to decrease in fresh and dry weights in soybean seedlings. Generally, shoot growth decreased and root length increased in soybean seedlings by increasing Fe application doses. Seedling growth in soybean generally increased depend on the Fe sources in the following order; FeSO4.7H2O < Fe-EDDHA < nano-Fe.

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“…From 1971 to 2014, the average minimum and maximum temperatures of 18.6 and 30.1°C with an average annual rainfall of 1794.3 mm were recorded for this site (DHM 2017). Khadka et al (2017) reported that the soil at the Tarahara site was moderately acidic in nature, and the organic matter (2.80 ± 0.07%) contained 30.32% sand, 48.92% silt, and 20.76% clay.…”

Section: Study Sitesmentioning

confidence: 99%

Seasonal and diurnal variations of carbon dioxide and energy fluxes over three land cover types of Nepal

Joshi

et al. 2019

Theor Appl Climatol

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This study examines the seasonal and diurnal variations of carbon dioxide and energy fluxes over three land cover types of Nepal by using the eddy covariance method from March to November 2016. The surface energy balance closures were moderate with the values of about 56%, 61%, and 64% closure at Kirtipur, Simara, and Tarahara sites respectively. The monthly average values of net radiation flux and latent heat flux peaked in August at Kirtipur and Tarahara sites whereas in June at the Simara site respectively. The maximum monthly average measured sensible heat flux was 37 W m −2 , 43.6 W m −2 , and 36.3 W m −2 in April for all the sites whereas soil heat flux was 5.1 W m −2 and 2.9 W m −2 in April for Kirtipur and Simara sites and 6.2 W m −2 in June for the Tarahara site. The magnitude of diurnal peak of net ecosystem CO 2 exchange (NEE) reached up to 11.04 μmol m −2 s −1 at Kirtipur, 15.04 μmol m −2 s −1 at Simara, and 10.44 μmol m −2 s −1 at Tarahara sites respectively. Among the three study sites, the ecosystem at the Kirtipur site was a good carbon source; the ecosystems at Simara and Tarahara sites were low and good carbon sink in the growing season. In addition, all three different land cover ecosystem were carbon source when accounted for the measurement period.

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Evaluation of soil fertility status of Regional Agricultural Research Station, Tarahara, Sunsari, Nepal

Abstract: Article Info

Cited by 18 publications

References 20 publications

Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS

Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS

Effects of iron sources and doses on plant growth criteria in soybean seedlings

Seasonal and diurnal variations of carbon dioxide and energy fluxes over three land cover types of Nepal

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