scholarly journals Evaluation of Nutrient Index to Assess Soil Fertility in The South East El- Qantara, North Sinai

2016 ◽  
Vol 56 (3) ◽  
pp. 413-432
Keyword(s):  
Soil Fertility ◽  
The South ◽  
Nutrient Index ◽  
North Sinai

scholarly journals Soil Fertility Evaluation and GPS-GIS Based Soil Nutrient Mapping of Krishi Vigyan Kendra, Palem, Telangana

2020 ◽  
pp. 139-145
Author(s):  
Kasthuri Rajamani ◽  
N. Hari ◽  
M. Rajashekar
Keyword(s):  
Organic Carbon ◽  
Soil Fertility ◽  
Soil Nutrient ◽  
Mean Value ◽  
Organic Carbon Content ◽  
High Status ◽  
Available Nitrogen ◽  
Entire Study ◽  
Study Results ◽  
Nutrient Index

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%).

Soil fertility evaluation using nutrient index approach

2021 ◽  
Vol 10 (1) ◽  
pp. 276-282
Author(s):  
Atik Ahamad ◽  
Arbind Kumar Gupta ◽  
Deo Kumar
Keyword(s):  
Soil Fertility ◽  
Index Approach ◽  
Nutrient Index

Yield, Fodder Value And Biologization of Soil Fertility Increase With Legume Crops in the South–East of Kazakhstan

2015 ◽  
Vol 12 (2) ◽  
pp. 1223-1231
Author(s):  
Mengdibayeva Gulnaz Zhetkergenkyzy ◽  
Orazbaev Serik Auelbekovich ◽  
Mukhamadiyev Nurzhan Serikkanuly ◽  
Salakshinova Bakty Maikanovna
Keyword(s):  
Soil Fertility ◽  
The South ◽  
Legume Crops

scholarly journals OFFSHORE ARTIFICIAL STRUCTURES AND THEIR INFLUENCE ON THE ISRAEL AND SINAI MEDITERRANEAN BEACHES

1982 ◽  
Vol 1 (18) ◽  
pp. 110
Author(s):  
Vaacov Nir
Keyword(s):  
Sandy Beaches ◽  
The South ◽  
The North ◽  
Northerly Direction ◽  
Levantine Basin ◽  
Beach Sediments ◽  
Port Said ◽  
North Beach ◽  
North Sinai ◽  
Quartz Grains

The Israel Mediterranean shore forms a gentle curve from an almost easterly direction in north Sinai to an almost northerly direction in Israel. This shore forms the southeastern corner of the Levantine Basin which itself forms the extreme eastern part of the Mediterranean Sea. The length of the Israel shoreline from Rosh Haniqra near the Lebanese border to northern Sinai in the south is about 230 km, while the Sinai coast from Rafah to Port Said (Fig.1), is almost 200 km long. The coastline region consists largely of Quaternary carbonate cemented quartz sandstone, known by local name "kurkar". Recent faulting is responsible for the shape and, to a certain extent, for the morphology of large parts of the central coastline, which is characterized by kurkar cliffs (Neev et. al_. , 1973 it 1978).Wide sandy beaches are found in the southern parts, while an abraded rocky platforms occur mainly in the central and northern parts, where the beaches are narrow having kurkar cliffs at their backshor.e side. Four different morphological sections can be found in the Israel Mediterranean shore, (Nir, 1982). These differ in their beach and inland morphology on one hand, and in their sedimentological properties on the other. The four different sections from north to south are: 1) Rosh Haniqra to Akko. A sedimentological1y isolated region, bounded on both the south and north. Beach sediments are mostly of local calcareous material of marine origin. Akko promontory is the most northern limit of Nile derived sands and plays as the recent edge of the Nile sedimentary cell (Nir, 1980). 2) Haifa Bay. Wide sandy beaches, bounded on the north by the Akko promontory, and by the Carmel "nose" on the south. 3) Mount Carmel coastal plain, is sedimentologically somewhat isolated region with relatively narrow beaches and small kurkar cliffs. Sediments consist of both local and imported components. 4) The kurkar cliffs and sandy beaches from Caesarea to Rafah. Beaches of differing width having quite uniform petrographic components, mostly quartz grains originating from the Nile river and transported along the Sinai beaches to the Israeli beaches. Some of the present beach components are derivated from the abraded kurkar cliff.

scholarly journals Quantifying and Mapping of Major, Secondary and Micronutrient Status of Tomato Growing Soils in Kolar District, Karnataka Using GIS and GPS Approach

2020 ◽  
pp. 14-27
Author(s):  
P. N. Siva Prasad ◽  
C. T. Subbarayappa ◽  
V. Ramamurthy ◽  
A. Sathish
Keyword(s):  
Spatial Variability ◽  
Soil Fertility ◽  
Crop Production ◽  
Nutrient Management ◽  
Nutrient Status ◽  
Available Nitrogen ◽  
Micronutrient Status ◽  
High Nutrient ◽  
Nutrient Index ◽  
The Impact

Assessment of land use-induced changes in soil properties is essential for addressing issues of spatial variability in soil fertility and sustainable land productivity. In view of this, a study was conducted to assess the impact of spatial variability on physicochemical properties, macro and micro nutrient status of 75 farmers fields of tomato growing areas of Kolar district, Karnataka. Arc Map with spatial analyst function of Arc GIS software was used to prepare soil fertility maps, which would act as an important tool for soil as well as nutrient management for sustainable crop production by using Global Positioning System coordinates. The results revealed that the soils under investigation were acidic to alkaline in reaction (pH 4.41 to 8.13), mostly non saline and low to high in organic carbon status (0.53 to 1.95%). Available nitrogen, phosphorus, potassium and sulphur content varied from 150.53-348.10, 6.4 - 111.44, 147.18 - 916.61 and 12.29 - 103.8 kg ha-1. Exchangeable Ca, Mg are in the range of 2.5 – 14.2 and 1.2 – 6.6 C mol (p+) kg. The GIS-aided thematic maps with respect to available zinc, 6.67 (low), 21.33 (medium) and 72 (high) per cent samples were categorized, based on the existing critical limits. All the studied samples i.e., 100 per cent were high in copper content, 65.33, 30.67 and 4 per cent samples of Mn, 25.33, 32 and 42.67 per cent samples of Fe, were categorized as low, medium and high in nutrient status respectively. With respect to available boron 16.67 per cent was under low, 38.09 per cent was under medium and 45.24 per cent was under high nutrient status. The nutrient index (NI) of tomato growing areas of Kolar district revealed that N (1.19), manganese (1.39) and iron (1.29) were categorized as low, available boron (2.17) as medium and P (2.65), K (2.71), S (2.65) zinc (2.75), copper (3.0) as high nutrient index category.

scholarly journals Assessment of soil fertility under northern light soil area of FCV tobacco in Andhra Pradesh

2021 ◽  
Vol 8 (2) ◽  
pp. 95-98
Author(s):  
LAKKIMSETTI K PRASAD ◽  
J POORNA BINDU ◽  
D DAMODAR REDDY ◽  
C CHANDRASEKHARA RAO ◽  
H RAVISANKAR
Keyword(s):  
Soil Fertility ◽  
Zinc Content ◽  
Mean Value ◽  
Available Phosphorus ◽  
Available Nitrogen ◽  
Light Soil ◽  
The Status ◽  
Nutrient Index ◽  
Available Zinc ◽  
Soil Area

An assessment of soil fertility of Northern Light Soil area of FCV tobacco was carried out to study the status of soil macro and micronutrients. Soils of the study area are mostly moderately acidic in nature with low organic carbon and available nitrogen with a mean value of 0.29 % & 110 kg ha-1, respectively. Available phosphorus was high (88% samples) with a mean value of 92.6 kg ha-1. While the average available potassium content was 297 kg ha-1 with 48 % samples in medium class. Among available micronutrients, the available zinc content in 73 % of samples was very low – low (0.0 to 0.6 ppm).  Whereas the availability of copper in 25 % samples was very low to low as per the fertility class (0.0 - 0.30 ppm).  Available iron (18.8 -35.03 ppm) and manganese (17.03-21.5 ppm) contents were high in the region. Nutrient index of available nitrogen was 1.00 (Low) while, NI was 2.83 (High) & 2.36 (Medium) for available phosphorus and available potassium, respectively.

scholarly journals The Increasing Production of Soybean Plants (Glycine max L.) Based on Result Target’s and Nutrient Index

1970 ◽  
Vol 6 (2) ◽  
pp. 319-327
Author(s):  
Michael Gusman Sianturi ◽  
Erwin Masrul Harahap ◽  
Hamidah Hanum
Keyword(s):  
Glycine Max ◽  
Soil Fertility ◽  
Seed Production ◽  
Research Design ◽  
Soil Nutrient ◽  
Target Dose ◽  
Two Factors ◽  
Nutrient Index ◽  
Glycine Max L ◽  
Soybean Plants

The aim of this research was to prove the giving fertilizer with dosage that produces seed production of soybean (Glycine max L.) 3 ton/ha and studying soil fertility through the nutrient indexs. The research was conducted in June 2017 until September 2017 at the market land of 1 Tanjung Sari, Medan Selayang sub-district. The research design is Factorial Random Design with two factors. The first factor is doses of fertilizer with the target of P1 = target 2 ton/ha; P2 = target 3 ton/ha; P3 = target of 4 ton/ha, second factor is treatment of soil nutrient index consist of B1 = 0,8 (100% less 20%); B2 = 0.9 (100% less 10%); B3 = 1 (100% standard nutrient index); B4 = 1.1 (100% plus 10%); B5 = 1.2 (100% plus 20%). The results showed that interaction of fertilizer based result target dose 3 ton/ha and nutrient index 0,9 (Urea : 45 kg/ha, SP-36: 90 kg/ha, KCL: 27 kg/ha, Phonska: 90 kg/ha, Dolomite: 900 kg/ha) reaches production of 2.86 tons/ha. The soil nutrient index found in B2 = 90% (fertilizer dose reduced by 10%) showed that the soil was fertile and gave the nutrient 10%.

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