Research Article Volume 2 Issue 5
1Department of Soil Science, Sher-e-Kashmir University of Agricultural Sciences and Technology, India
2Department of Microbiology, Sher-e-Kashmir University of Agricultural Sciences and Technology, India
3Department of Fruit science, Sher-e-Kashmir University of Agricultural Sciences and Technology, India
4Department of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology, India
5Department of Soil Science, Punjab Agricultural University, India
Correspondence: Zahoor Ahmad Bhat, Department of soil science, Sher-e-Kashmir University of Agricultural Sciences and Technology, Shalimar, Srinagar, J&K, Pin; 190025, India
Received: February 27, 2017 | Published: July 26, 2017
Citation: Bhat ZA, Akther FA, Padder SA, et al. Nutrient status of grape orchard soils of Jammu and Kashmir, India. MOJ Eco Environ Sci. 2017;2(5):207-212. DOI: 10.15406/mojes.2017.02.00036
A Survey was carried out to study available nutrient status of grape orchard soils Kashmir. Fifteen orchards with uniform age and vigour were selected and surveyed (simple random survey) for the purpose of collection of soil samples. The samples were processed and analyzed for different nutrients. In general the soils were medium in available nitrogen and phosphorus with mean values of 161.0 and 11.7 ppm, respectively in surface soils (0-30 cm) and mean values of 82.2 and 8.9 ppm, respectively in sub-surface soils (30-90 cm). All the soils under investigation were high in available potassium, calcium and magnesium showing average values of 133.1, 1854.3, 282.2 ppm and 112.5, 1872.1 and 254.3 ppm in surface and sub-soils, respectively. The mean available iron, manganese, zinc, copper, boron and molybdenum content of surface soils was 33.84, 35.14, 1.32, 1.62, 0.58 and 0.22 ppm, respectively and in sub-surface soils of 32.08, 33.42, 1.20, 1.39, 0.48 and 0.14 ppm, respectively. Further it was observed that majority of soils were high in available iron, manganese and zinc and medium in available copper, boron and molybdenum content.
Keywords: grape orchards, macronutrients, micronutrients, fertility status, Kashmir
Grape (Vitis vinifera L.) is one of the most important commercial fruit crops of temperate to tropical regions.1 Grapes production occupies significance in the context that it is the third most widely cultivated fruit after citrus and banana. Globally grape production contributes to about 16 per cent of the total fruit production. Total area of grapes in world is 7.50 lakh ha with a production of 66 million tonnes.2 In India grapes are cultivated on an area of 0.12 lakh hectares with an annual production of 24.83 lakh tonnes with a productivity of 21.1tha-1,3 and the main grape producing states are Maharashtra, Karnataka, Uttar Pradesh, Andhra Pradesh, Tamil Nadu, Haryana and Punjab. In Jammu and Kashmir it is cultivated on an area of 329ha producing 803M tonnes and the cultivation is mainly confined to district Gander bal having an area of 128ha with an annual production of 231 M tonnes.4 In J&K the main varieties grown are Anab-e-shahi, Sahibi, Himrod, Hussaini and Thomson seedless.
Mineral nutritional requirement evaluation of fruit trees is different from that of annual crops, as tree crops are perennial, large and deep rooted and therefore, require more exact evaluation of their nutritional needs. Nutrient deficiencies can be accessed through visual symptoms, soil test or plant analysis (El-Fouly et al. 1982). Identification and quantification of nutrient deficiencies from visual symptoms is not easy and therefore either soil test or plant analysis is widely used for the same. The soil fertility and its productivity is affected by various physical, chemical and biological properties of soil, such as pH, lime, electrical conductivity, organic matter content, concentrations of macro- micronutrients etc. Adequate supply of nutrients is required by grapevines for proper growth and fruiting as nutrient deficiencies affect the quantity and quality of grape. It is well known that N and K, in particular, influence fruit and wine quality,5,6 so it is important to determine the content of these available nutrients in soil. Even with optimum levels of these nutrients, poor growth can be attributed to low levels of calcium, magnesium, boron, zinc or other micronutrients. For example, Zn and B affect fruit set, and Mg affect bunch stem necrosis and thereby the number of clusters per vine and number of berries per cluster.7 Nutrient management is one of the largest shares of cost with its impact on potential yield and crop quality. Nutritional surveys carried out in different grape growing regions of the country have revealed that the growers are applying as high as 600 to 800kg each of N, P2O5 and K2O per ha every year accounting for 30 to 40 per cent of an annual recurring costs. The fertility status of vineyards is very important in the management of nutrient programmes for maximizing vine growth production and fruit quality improvement, so it is very important to determine the fertility status of the soil for the optimum use of land to increase crop production. Since fertility status of main grape producing area of Kashmir has not been documented so far therefore, the present investigation undertaken to evaluate the nutrient status of vine orchard soils.
A survey was conducted to study the fertility status of vineyards in Gander bal district of Jammu and Kashmir (J&K). District Gander bal is located at 34o23' N latitude, 74o78' E longitude at an altitude of 1619 m above the mean sea level. It is bordered by district Srinagar in South, Bandipora to the North, Kargil in North-East, Anantnag to the South-East and Baramulla in South-West. Soil samples from 15 orchards of uniform age and vigour were collected depth wise with an increment of 30cm to a depth of 90cm following simple random sampling. The collected soil samples were air-dried in shade. The air dried samples were ground with wooden pestle and mortar and passed through 2mm sieve to separate the coarse fragments (>2mm). The soil sample were analysed for various physical and chemical parameters. Available nitrogen was determined by alkaline potassium permanganate distillation method as described by Subbiah and Asija.8 Available phosphorus content of the soil was extracted by 0.5N sodium bicarbonate at pH 8.59 and was estimated by ammonium molybdate method as outlined by Jackson.10 Available potassium was extracted with neutral normal ammonium acetate at 1:5 soil to extract ratio and the content of potassium was estimated by flame photometer. Available sulphur in soil was determined by Chesnin and Yien11 method after extracting the soil with Morgan’s reagent having pH 4.8. Calcium and magnesium content in the soil samples were determined by versenate titration method.10 The available iron, zinc, copper and manganese were determined by atomic absorption spectrophotometer after extracting with DTPA solution as described by Lindsay and Norvell.12 Available boron in the soil samples was determined by hot water treatment method of Berger and Truog.13 Available Mo in soil samples was estimated as per the procedure outlined by Johnson and Arkley.14
Soil pH was determined in 1:2.5 soil:water suspension using pH meter with glass electrode and electrical conductivity was measured in the supernatant solution of 1:2.5 soil: water suspension using digital conductivity meter.10 The organic carbon content was determined by wet digestion method of Walkley and Black.15 Schollenberger’s method of leaching the soil with neutral ammonium acetate and determination of ammonical nitrogen (Jackson, 1973) was followed to determine cation exchange capacity of the soils. Calcium carbonate was estimated by adopting the rapid titration method as outlined by Piper.16 The 95% confidence interval (C.I) was worked out using the procedure of Neyman.17 The coefficient of variation (C.V) was worked out by using Microsoft Excel Worksheet.
The data pertaining to available macro and micronutrient status of soils is presented in Table 1 & Table 2, respectively and the data regarding soil fertility status of soils is presented in Table 3. The Physico-chemical characteristics of studied orchard soils are shown in Table 4.
Sampled Location |
Depth (cm) |
Ppm |
|||||
N |
P |
K |
Ca |
Mg |
S |
||
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
1 |
0-30 |
140 |
10.7 |
128 |
1850 |
265 |
10.2 |
30-90 |
89 |
8.2 |
108.5 |
1861 |
257 |
9.9 |
|
2 |
0-30 |
157 |
11.7 |
133 |
1864 |
272 |
10.4 |
30-90 |
90 |
9.2 |
114 |
1859 |
252 |
9.5 |
|
3 |
0-30 |
140 |
10.5 |
132 |
1844 |
259 |
9.9 |
30-90 |
87 |
9.1 |
109 |
1899 |
258 |
9.3 |
|
4 |
0-30 |
160 |
11.1 |
128 |
1846 |
269 |
9.7 |
30-90 |
77 |
8.3 |
112 |
1896 |
254 |
8.7 |
|
5 |
0-30 |
183 |
12.6 |
139 |
1842 |
289 |
10.9 |
30-90 |
100 |
9.9 |
125 |
1887 |
261 |
9.8 |
|
6 |
0-30 |
168 |
11.8 |
134 |
1875 |
283 |
11.4 |
30-90 |
81 |
8.7 |
116 |
1877 |
259 |
10.2 |
|
7 |
0-30 |
170 |
12.7 |
135 |
1865 |
287 |
10.7 |
30-90 |
82 |
8.7 |
111 |
1854 |
252 |
9.9 |
|
8 |
0-30 |
160 |
11.4 |
126 |
1843 |
279 |
10 |
30-90 |
68 |
7.9 |
107 |
1870 |
236 |
8.6 |
|
9 |
0-30 |
176 |
12.5 |
130 |
1869 |
283 |
10.5 |
30-90 |
84 |
8.9 |
107 |
1895 |
259 |
9.3 |
|
10 |
0-30 |
195 |
13.4 |
141 |
1819 |
295 |
10.8 |
30-90 |
96 |
9.7 |
120 |
1818 |
240 |
9.8 |
|
11 |
0-30 |
165 |
11.8 |
134 |
1832 |
273 |
10.7 |
30-90 |
81 |
8.4 |
110 |
1873 |
245 |
9.6 |
|
12 |
0-30 |
154 |
11.9 |
131 |
1835 |
270 |
10.2 |
30-90 |
81 |
8.9 |
106 |
1888 |
269 |
9.8 |
|
13 |
0-30 |
143 |
11.6 |
133 |
1872 |
310 |
10.6 |
30-90 |
68 |
9.4 |
112 |
1882 |
255 |
9.8 |
|
14 |
0-30 |
148 |
11.2 |
135 |
1875 |
294 |
10.5 |
30-90 |
70 |
9.2 |
116 |
1865 |
254 |
9.9 |
|
15 |
0-30 |
156 |
11.3 |
138 |
1883 |
305 |
10.3 |
30-90 |
80 |
9.2 |
115 |
1857 |
263 |
9.8 |
|
Surface Soil (0-30cm) |
|||||||
Mean |
161 |
11.7 |
133.1 |
1854.3 |
282.2 |
10.5 |
|
95% C.I |
152.3-169.7 |
11.3-12.2 |
130.8-135.5 |
1843.8-1864.7 |
274.1-290.3 |
10.2-10.7 |
|
C.V (%) |
9.8 |
6.8 |
3.2 |
1.2 |
5.2 |
4.1 |
|
Sub-surface Soil (30-90cm) |
|||||||
Mean |
82.2 |
8.9 |
112.5 |
1872.1 |
254.3 |
9.6 |
|
95% C.I |
76.0-88.5 |
8.6-9.2 |
109.3-115.8 |
1862.0-1882.3 |
250.4-258.3 |
9.3-9.9 |
|
C.V (%) |
|
20.5 |
1.2 |
7.8 |
1.5 |
3.9 |
7.9 |
Table 1 Available macronutrient status of grape orchard soils of district Ganderbal (Jammu and Kashmir)
Sampled location |
Depth (cm) |
Ppm |
|||||
Fe |
Mn |
Zn |
Cu |
B |
Mo |
||
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
1 |
0-30 |
29.21 |
30.12 |
1.21 |
1.57 |
0.51 |
0.12 |
30-90 |
28.89 |
30.61 |
1.15 |
1.31 |
0.47 |
0.08 |
|
2 |
0-30 |
36.48 |
36.02 |
1.33 |
1.66 |
0.49 |
0.22 |
30-90 |
33.65 |
33.8 |
1.03 |
1.43 |
0.43 |
0.14 |
|
3 |
0-30 |
30.5 |
29.92 |
1.23 |
1.62 |
0.53 |
0.09 |
30-90 |
26.63 |
27.91 |
1.01 |
1.37 |
0.42 |
0.09 |
|
4 |
0-30 |
31.08 |
32.56 |
1.18 |
1.61 |
0.57 |
0.18 |
30-90 |
28.37 |
30.16 |
1.14 |
1.38 |
0.45 |
0.14 |
|
5 |
0-30 |
39.84 |
37.58 |
1.36 |
1.73 |
0.59 |
0.22 |
30-90 |
37.94 |
36.25 |
1.33 |
1.49 |
0.52 |
0.16 |
|
6 |
0-30 |
36.53 |
39.93 |
1.39 |
1.67 |
0.63 |
0.27 |
30-90 |
35.37 |
36.42 |
1.26 |
1.46 |
0.47 |
0.19 |
|
7 |
0-30 |
35.63 |
36.17 |
1.33 |
1.59 |
0.46 |
0.21 |
30-90 |
34.9 |
37.94 |
1.28 |
1.36 |
0.4 |
0.11 |
|
8 |
0-30 |
30.52 |
32.03 |
1.27 |
1.55 |
0.61 |
0.17 |
30-90 |
28.28 |
28.55 |
0.99 |
1.36 |
0.5 |
0.14 |
|
9 |
0-30 |
33.54 |
35.13 |
1.3 |
1.57 |
0.67 |
0.22 |
30-90 |
33.08 |
33.83 |
1.32 |
1.36 |
0.53 |
0.12 |
|
10 |
0-30 |
38.02 |
37.55 |
1.39 |
1.78 |
0.59 |
0.27 |
30-90 |
37.86 |
37.63 |
1.27 |
1.46 |
0.49 |
0.14 |
|
11 |
0-30 |
33 |
37.67 |
1.42 |
1.56 |
0.62 |
0.25 |
30-90 |
30.13 |
34.63 |
1.23 |
1.33 |
0.45 |
0.13 |
|
12 |
0-30 |
32.02 |
35.1 |
1.31 |
1.51 |
0.67 |
0.27 |
30-90 |
31.68 |
35.18 |
1.15 |
1.34 |
0.52 |
0.15 |
|
13 |
0-30 |
32.69 |
36.98 |
1.37 |
1.61 |
0.58 |
0.31 |
30-90 |
31.75 |
35.56 |
1.3 |
1.41 |
0.5 |
0.18 |
|
14 |
0-30 |
33.82 |
35.88 |
1.35 |
1.63 |
0.64 |
0.29 |
30-90 |
30.56 |
30.11 |
1.25 |
1.41 |
0.52 |
0.18 |
|
15 |
0-30 |
34.67 |
34.52 |
1.34 |
1.61 |
0.58 |
0.25 |
30-90 |
32.54 |
32.78 |
1.28 |
1.41 |
0.49 |
0.15 |
|
0-30 cm (Surface Soil) |
|||||||
Mean |
33.84 |
35.14 |
1.32 |
1.62 |
0.58 |
0.22 |
|
95% C.I |
32.16-35.51 |
33.55-36.74 |
1.28-1.36 |
1.58-1.66 |
0.55-0.62 |
0.19-0.26 |
|
C.V (%) |
8.95 |
8.19 |
5.3 |
4.32 |
12.06 |
27.27 |
|
30-90 cm (Sub-surface Soil) |
|||||||
Mean |
32.08 |
33.42 |
1.2 |
1.39 |
0.48 |
0.14 |
|
95% C.I |
30.67-33.48 |
32.15-34.69 |
1.15-1.24 |
1.36-1.42 |
0.45-0.50 |
0.12-0.15 |
|
C.V (%) |
|
11.75 |
10.16 |
10.16 |
5.75 |
11.66 |
26.42 |
Table 2 Available micronutrient status of grape orchard soils of district Ganderbal (Jammu and Kashmir)
Nutrient element |
Concentration (ppm) |
Fertility class (per cent samples) |
|||
Range |
Mean |
Low |
Medium |
High |
|
N |
140.0-195.0 |
161 |
- |
100 |
- |
P |
10.5-13.4 |
11.7 |
13 |
87 |
- |
K |
126.0-141.0 |
133.1 |
- |
- |
100 |
Ca |
1819.0-1883.0 |
1854.3 |
- |
- |
100 |
Mg |
259.0-310.0 |
282.2 |
- |
- |
100 |
S |
9.7-11.4 |
10.5 |
7 |
93 |
- |
Fe |
29.21-39.84 |
33.84 |
- |
- |
100 |
Mn |
29.92-39.93 |
35.14 |
- |
- |
100 |
Zn |
1.18-1.42 |
1.32 |
- |
7 |
93 |
Cu |
1.51-1.78 |
1.62 |
- |
100 |
- |
B |
0.46-0.67 |
0.58 |
13 |
87 |
- |
Mo |
0.09-0.31 |
0.22 |
6 |
87 |
6 |
Table 3 Soil fertility status of grape orchards of district Ganderbal (Jammu and Kashmir)
Sampled location |
Depth (cm) |
p(1:2.5) |
EC (dS1) |
OC (%) |
CaCO3 (%) |
CEC (cmol (P+)kg-1) |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
1 |
0-30 |
6.96 |
0.11 |
1.26 |
0.21 |
13.47 |
2 |
0-30 |
7 |
0.16 |
1.22 |
0.2 |
14.91 |
3 |
0-30 |
6.73 |
0.12 |
1.22 |
0.18 |
15.04 |
4 |
0-30 |
6.88 |
0.13 |
1.3 |
0.18 |
13.2 |
5 |
0-30 |
6.62 |
0.11 |
1.7 |
0.21 |
17.82 |
6 |
0-30 |
6.75 |
0.1 |
1.55 |
0.2 |
16.65 |
7 |
0-30 |
6.65 |
0.13 |
1.65 |
0.1 |
15.43 |
8 |
0-30 |
6.8 |
0.11 |
1.34 |
0.19 |
14 |
9 |
0-30 |
6.68 |
0.09 |
1.65 |
0.11 |
14.2 |
10 |
0-30 |
6.6 |
0.09 |
1.78 |
0.08 |
13.2 |
11 |
0-30 |
6.72 |
0.12 |
1.57 |
0.15 |
17 |
12 |
0-30 |
6.77 |
0.09 |
1.45 |
0.16 |
14.95 |
13 |
0-30 |
7.18 |
0.15 |
1.14 |
0.23 |
17.5 |
14 |
0-30 |
7.12 |
0.18 |
1.18 |
0.21 |
17 |
15 |
0-30 |
7 |
0.15 |
1.26 |
0.19 |
14.21 |
Mean |
6.83 |
0.12 |
1.42 |
0.17 |
15.24 |
|
95% C.I |
6.73-6.93 |
0.11-0.14 |
1.30-1.54 |
0.15-0.20 |
14.36-16.12 |
|
C.V (%) |
|
2.64 |
25 |
14.78 |
26.47 |
10.43 |
Table 4 Physico-chemical characteristics of studied orchard soils
Macronutrients status of soils
Available nitrogen content of surface and sub-surface soils varied statistically from 152.3 to 169.7 and 76.0 to 88.5ppm with mean values of 161.0 and 82.2ppm, respectively (Table 1). The decrease in available nitrogen with increase in soil depth may be due to presence of higher organic matter content and favorable environmental conditions for mineralization at surface than sub-surface layers. The results are in agreement with the findings of Ranjha18 and Singh and Rathore.19 Perusal of data (Table 3) indicated that all the orchards were medium in available nitrogen content. It may be due to slower decomposition of organic matter under temperate conditions and removal of mineralized nitrogen by intensive cropping. The available phosphorus content of surface soils varied statistically from 11.3 to12.2ppm, whereas, in sub-surface soils varied from 8.6 to 9.2ppm, with an average values of 11.7 and 8.9 ppm, respectively. The higher amount of organic matter in surface soils might be the reason for greater amount of available phosphorus in surface layers. The present findings are in line with the results obtained by Deepika and Srivastava20 and Kumar.21 The available phosphorus status of soils under study area was low to medium. It was recorded that 13 per cent orchards were low and 87 per cent were medium in available phosphorus content. The low to medium availability of available phosphorus may also be as a result of past fertilization, pH, organic matter content, texture and various soil management practices.22 Similar results were observed by Yogeeshappa.23 Available potassium content varied statistically from 130.8 to 135.5 and 109.3 to 115.8ppm with mean values of 133.1 and 112.5ppm in surface and sub-surface soils, respectively. Higher content of available potassium was found in surface soils than sub-surface soils, which may be attributed to higher weathering of potassium bearing minerals in surface soils, due to greater exposure of these minerals to weathering agencies at surface than sub-soils and also due to fertilizer and manure additions to surface soils. The results are supported by the findings of Fida.24 Available potassium content was in high range. It might be due to prevalence of potassium rich clay minerals like illite, application of potassium fertilizers and manures. This is in agreement with the findings of Patil.25
Available calcium content of surface soils ranged statistically from 1843.8 to 1864.7ppm with an average value of 1854.3ppm, whileas, in sub-surface soils it showed a variation of 1862.0 to 1882.3ppm with an average value of 18872.1ppm. In general calcium content of sub-surface layers was higher than the surface layers, which might be due leaching of calcium from surface to sub-surface layers. Soils under grape orchards in district Gander bal were sufficiently supplied with available calcium and it was high in all the soils. The reason may be due to presence of thick uniform layer of limestone with substantial quantities of dolomite and shale, which encircle whole valley of Kashmir in the form of cliffs (Wadia, 1981). The calcareous nature of parental material may also be a responsible for high available calcium content of these soils. The observations are supported by the findings of Dar26 and Yogeeshappa.23 The data revealed that available magnesium content of surface and sub-surface soils varied statistically from 274.1 to 290.3 and 250.4 to 258.3ppm with average values of 282.2 and 254.3, respectively. It was also observed that available magnesium content showed an inconsistent trend with soil depth. Available magnesium content was high which may be due to presence of illite and chlorite type of minerals in Kashmir as reported by Najar.27 The results are further supported by the findings of Dar.26
Available sulphur content varied statistically from 10.2 to 10.7ppm with mean value of 10.5ppm in surface soils, whereas, in sub-soils varied from 9.3 to 9.9ppm with mean value of 9.6ppm. The results are supported by the findings of Arora.28 The soils under grape orchards were low to medium in available sulphur content, as 7 per cent orchards were low and 93 per cent were medium in available sulphur content. The results might be attributed to the temperate environmental conditions resulting in low mineralization of organic matter, thus lower release of available sulphur. The results are in conformity with the findings of Sharma and Bhandari.29
Micronutrient status of soils
Available iron content of surface and sub-surface soils varied statistically from 32.16 to 35.51 and 30.67 to 33.48ppm with mean values of 33.84 and 32.08ppm, respectively (Table 2). In general surface soils were richer in available iron than sub-surface soils and iron content decreased with soil depth showing an unusual trend at few locations. This may be due to sufficient organic matter and low pH of surface soils. The results are in accordance with the observations of Patiram30 and Sharma.29 A perusal of data in Table 4 indicated that all the soils under study were high in available iron content, which may be due to presence high organic matter and due formation of iron chelates. The results are in agreement with those of Nazif31 and Samiullah.32 Available manganese content of surface layers ranged statistically from 33.55 to 36.74ppm with an average value of 35.14ppm, whereas, in sub-surface soils it varied from 32.15 to 34.69ppm with a mean value of 33.42ppm. Available manganese content of surface soils was higher than sub-surface soils and showed a decreasing trend the increase in depth of soil, which may be due to low pH and high organic matter in surface soil layers. The results are in accordance with those of Demirer.33 Grape orchards were sufficiently supplied with available manganese as all the samples fall in the high range. The adequacy of available manganese might be attributed to the positive effect of organic matter and suitable soil pH for manganese availability. The results are supported by the observations of Nazif.31 Zinc content varied from 1.28 to 1.36 and 1.15 to 1.24ppm with average values of 1.32 and 1.20ppm in surface and sub-surface soil layers, respectively. The surface soils showed higher content of zinc than sub-surface soils, which exhibited a decreasing trend with increase in soil depth, which might be due to higher organic carbon at surface soils, as organic carbon is a major contributor of available zinc in soils. The results are in conformity with those of Shah.34 The present study indicated that the available zinc content was medium to high, as 7 per cent soils were medium and 93 per cent were high in available zinc. The results might be attributed to the fact that organic matter to some extent reduces the pH of soils which increases the solubility of zinc besides its effect on weathering of zinc containing minerals and formation of chelated zinc. The results are in accordance with the findings Samiullah.32 Data revealed that available copper content varied statistically from 1.58 to 1.66ppm with mean value of 1.62 ppm in surface soils, whileas, it varied from 1.36 to 1.42ppm with mean value of 1.39ppm in sub-surface soils. A decreasing trend of available copper content was observed with increase in depth and surface soils were richer in copper content, which might be due to higher organic matter and regular addition of fertilizers and manures to surface soils. The results are in agreement with findings of Khokhar.35 All the soils under study were medium in available copper content, which might be due to the fact that copper is most strongly adsorbed divalent metal to iron and aluminum oxides which might have resulted in medium extraction of soil available copper.36 The results are in accordance with those of Shaaban and El-Fouly.37 Available boron content varied statistically in surface and sub-surface soils from 0.55 to 0.62 and 0.45 to 0.50ppm with average values of 0.58 and 0.48 ppm, respectively. Available boron content showed a decreasing trend in its vertical distribution and surface soils showed higher boron content than sub-surface layers, which might be attributed to high organic matter and addition of fertilizers to surface soils. Similar results were reported by Shah.34
The available boron content in soils of grape orchards was low to medium, as 13 per cent orchards were low and 87 per cent orchards were medium in available boron content. The low to medium content of available boron might be due to high rainfall which resulted in leaching of soluble boron from soil, as boron is only nutrient element which is present as non-ionized specie over pH range suitable for plant growth38 and due to adsorption of soluble boron on freshly precipitated Al (OH)3 at pH>6.3 to 6.5.39 Available molybdenum content of surface soils varied statistically from 0.19 to 0.26ppm, whereas, in sub-surface soil layers, it ranged from 0.12 to 0.15ppm with mean values of 0.22 and 0.14ppm, respectively. It was observed that molybdenum content showed a decreasing trend with increase in soil depth, which might be due to direct association of available molybdenum with soil organic matter. The results are supported by the findings of Pandey.40 The molybdenum content of soils ranged from low to high with 6 per cent orchards low, 87 per cent orchards medium and 6 per cent orchards high in available molybdenum. A soil pH range of 6.60 to 7.18 may be partly responsible for low to high soil available molybdenum range. These results are in line with those of Chen.41 The grape orchards of district Gander bal were adequately supplied with nitrogen, potassium, copper, iron, manganese. Further soil analysis revealed that available phosphorus, sulphur, molybdenum and boron were low in 13, 7, 13 and 6 per cent grape orchards, respectively. The present investigation though first of its kind is expected to be quit useful for horticulturists for formulation of further research and development programmes for increasing grape production.42–44
None.
The authors declare there is no conflict of interests.
None.
©2017 Bhat, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.