scholarly journals Soil Nutrient Evaluation and Crop Management for Sustainable Growth of PatiyaVillage Cluster in Almora, Uttarakhand

2021 ◽  
Vol 16 (3) ◽  
pp. 818-835
Author(s):  
Prabhas Kumar Pande ◽  
Rakesh Kumar ◽  
Seema Gupta ◽  
Rajesh Sachdev ◽  
LOVELEEN SATAPATHY4 ◽  
...  

The present study deals with the assessment of soil nutrients at four adjacent villages, 15 km NE of Almora, to understand the soil fertility and suitability of crops to help rejuvenate the agricultural activities in the region which subsequently will be used as a testing ground to mitigate prevailing Human-Wildlife Conflict in the study area. Soil samples were analyzed for textural classification, power of hydrogen (pH), Electrical Conductivity (EC), Organic Carbon percentage (OC%), available Nitrogen (N), Potassium (K), Sulphur (S), Boron (B), Manganese (Mn), 0.1M Hydrochloric Acid (HCl), and Diethylene Triamine Pentaacetic Acid (DTPA) extractable, Iron (Fe), Zinc (Zn), and Copper (Cu) to examine the soil fertility of the area. The soils of the region vary from loam to sandy loam. The soil reaction varies from slight to extremely acidic whereas the salinity was varying from non-saline to slightly saline. Low soil fertility index of N, P, K, Zn, B, and Fe; and medium soil fertility index of S, Mn, and Cu were observed, which is suggestive of additional requirement of Farm Yard Manure (FYM) and fertilizers to make them suitable for plantation. Through this study, an attempt has been made to recommend the selection and cultivation of high yield indigenous cash crops with the support of bio-fertilizers to maximize the use and production of these fallow lands and enhance the agricultural activities in the region and provide better livelihood options. The shift from the traditional method of plowing and sowing to new basic techniques has brought about encouraging results to the extent that these fields have now become favorite destinations of wild boars and monkeys. Hence, allowing us to mitigate this problem through various means.

2021 ◽  
Vol 1 (2) ◽  
pp. 053-067
Author(s):  
Apezi Okiemute EDEWOR ◽  
Augustus Orowhigo ATUBI

The derived savanna landscape of Delta state situated within the rainforest region are always considered with apathy as they are viewed as idle, marginalized or abandoned landscapes. The study therefore focused on statistical analysis of the physiochemical properties of the derived savanna, rainforest and fallow landscapes of Delta state. The statistical analysis gave impetus for the derivation of Soil Fertility Index (SFI). The hypothesis formulated to guide the study was tested using the one-way Analysis of Variance (ANOVA). This was used to test the variation between soil physiochemical parameters of the various landscapes at 0.05 significance level. Specifically, the study found out that the physiochemical parameters of the landscapes studied are significantly correlated. Thus, implying basic similarities in soil fertility and soil constituent tendencies between the landscapes.


Author(s):  
Kasthuri Rajamani ◽  
N. Hari ◽  
M. Rajashekar

Soil fertility evaluation of an area is an important aspect in the context of sustainable agriculture production. In the present investigation KVK, Palem farm was selected in the district Nagarkurnool of Telangana and studied physico-chemical, available macro and micronutrient status using Nutrient Index approach made with the study of 60 surface soil samples and were analyzed for pH, Electrical Conductivity (EC), Organic Carbon (OC), Nitrogen (N), Phosphorus (P), Potassium (K) and micronutrients (Fe, Mn, Cu and Zn). Study results indicated that a major proportion of area soils are neutral (62.08%) and non-saline (100%). The whole study area was low in organic carbon content, ranging from 0.40 to 0.45 with a mean of 0.42%, and available nitrogen also low in the entire study area varied from 150.53 to 188.16 kg ha-1 with a mean value of 165.67 kg ha-1. The percent distribution of available P varied from medium to high status (34.48 and 72.41%), where available K was categorized under high (100%) status. With regard to micronutrients, the soils were predominantly deficient in Zn (24.13%) followed by Fe (20.68%) and Mn (6.89%).


2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Martin B. Nadeau ◽  
Thomas P. Sullivan

We aimed to study relationships between plant biodiversity and soil chemical fertility in a mature tropical forest of Costa Rica. Soil samples were collected in nine sampling plots (5 m by 25 m) in order to identify P, K, Ca, Mg, Fe, Zn, Mn, Cu, and Al and total N contents, soil fertility index, CEC, pH, and C/N ratio. Furthermore, species richness, Shannon-Wiener and Simpson’s species diversities, structural richness, and structural diversity were calculated for each plot. Simple linear regression analyses were conducted. Tree species richness was inversely related to concentration levels of K, Ca, and P, CEC, and soil fertility index. Therefore, higher tree species richness tended to be found on sites with lower soil fertility, which is the complete opposite of temperate forests. As a result, tropical and temperate forest ecology should be considered separately. Shannon-Wiener tree species diversity was positively correlated to C/N ratio. Herb structural richness was positively correlated with soil fertility index and P concentration. Therefore, herb structural richness may be a good indicator of soil fertility. This study gives important insights on ecological relationships between plant biodiversity and soil chemical fertility in a primary tropical forest.


2021 ◽  
Author(s):  
Ozias Hounkpatin ◽  
Aymar Bossa ◽  
Mouinou Igué ◽  
Yacouba Yira ◽  
Brice Sinsin

<p>Indicators of soil production function such as soil fertility index can potentially be a key decision tool in spatial planning for sustainable land management. The establishment of such soil fertility index requires basic soil properties which can be modelled for spatial mapping. The objective of this study was to take advantage of the soil legacy data of Benin to produce a digital soil map of soil fertility index at a national scale based on 8 soil properties (soil organic carbon matter, nitrogen, pH, exchangeable potassium, assimilable phosphorus, sum of base, cation exchange capacity and base saturation). Specific research aims were: (1) to model and develop digital soil maps; (2) to identify important factors influencing soil nutrients; (3) to establish soil fertility potentials using digital soil maps. For each soil property, modelling procedures involved the use of different covariates including soil type, topographic, bioclimatic and spectral data along with the comparative assessment of the Cubist and Quantile Random Forest model. Results revealed that apart from N and exchangeable K, significant models can be produced for most of the soil properties with R-square varying between 28% and 72% with the Quantile Random Forest presenting a more accurate prediction interval coverage probability. The analysis revealed that the distance to the nearest stream has strong predictive ability for all the soil properties along with the bioclimatic variables. Visualisation of the soil fertility map showed that most of the soils in Benin have low fertility level suggesting that the use of fertilizers and organic materials will be critical in sustaining crop productivity. A limited number of high and average fertility level soils were found in the low elevation areas of southern Benin and policy could advocate for their sole use for agriculture purpose as well as promote sustainable management practices.</p>


2021 ◽  
Vol 20 (1) ◽  
pp. 1-9
Author(s):  
Mujiyo Mujiyo ◽  
◽  
Galih Joko Puspito ◽  
Suntoro Suntoro ◽  
Rahayu Rahayu ◽  
...  

This research studied the effect of the change in function from paddy field to dry land on the soil fertility index. The research was conducted in Girimarto Sub-district, Wonogiri District, in the Province of Central Java. The five stages of the research were: determination of Land Mapping Units in areas with a change in land use; field survey; laboratory analysis; determination of Minimum Data Sets (MDSs) or Minimum Soil Fertility Index (MSFI); analysis of Soil Fertility Index (SFI). The research results show that the change in function of 231 ha of land in Girimarto Sub-district is due to the topographical factor of the mountain region and the shortage of water. This change in land function has caused an increase in the soil fertility index. Soil fertility in paddy fields is classed as moderate but after undergoing a change in function to dry land, its classification increases to moderate-high. The increase in soil fertility index of dry land is due to the fact that farming patterns on dry land use more animal manure, which has a long-term residual effect on organic matter content. In order to maintain and improve the fertility of paddy field soil, it is necessary to add organic fertilizer as well as inorganic fertilizer.


2019 ◽  
Vol 08 (04) ◽  
pp. 224-236
Author(s):  
Pitchayapa Pholkaw ◽  
Ayaka Muraji ◽  
Kazuyoshi Maeda ◽  
Taiki Kawagoe ◽  
Kenzo Kubota ◽  
...  

Author(s):  
Natalia V. Gopp ◽  
◽  
Taisia V. Nechaeva ◽  
Oleg A. Savenkov ◽  
Natalia V. Smirnova ◽  
...  

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