Document Type : Research papers
Authors
1 Soil and Agricultural Chemistry Dept., Faculty of Agriculture Saba Basha, Alexandria University
2 Plant Production Dept., Faculty of Agriculture Saba Basha, Alexandria University
3 Soil and Water Dept., Faculty of Agriculture, Alexandria University
Abstract
Keywords
INTRODUCTION
Limited water sources in the area necessarily lead to deficit irrigation. Deficit irrigation can be defined as an agricultural water management system in which less than 100% of the potential evapotranspiration (ET0) can be provided by the stored soil water and irrigation, during the growing season. Irrigation management desire selecting the time and amount of water to be applied and optimizing the timing and degree of plant stress, within the restriction of available water (Pereira et al., 2002; Fereres and Soriano, 2007; Geerts and Raes, 2009).
The tool to improve winegrape quality in irrigated vineyards is to apply an appropriate balance between vegetative and reproductive development, as an excess of shoot vigor may have undesirable consequences for fruit quality (McCarthy, 1997). A moderate water stress, maintained through deficit irrigation, may reduce vine growth and competition for carbohydrates by growing tips, as well as promoting a shift in the partition of photo-assimilates towards reproductive tissues and secondary metabolites. These changes in plant metabolism by moderate water stress may increase the quality of the fruit and produced wine (Matthews and Anderson, 1988, 1989).
Under Mediterranean conditions, it has been a common practice to manage the deficit irrigation during the end stage of grapevine development (Williams and Matthews, 1990). However, in Australia, for example, the most common practice is to apply less water early in the season (McCarthy et al., 2000). Both practices have shown to benefit wine, in one case reducing the grape size by limiting available water and in the other one by limiting the potential for grape growth. Flavor compounds, which determine wine quality, are located principally in the berry skin; therefore a smaller size in the grape berries improves fruit quality as the skin to flesh ratio increased (McCarthy, 1997).
Plant nutrition is another critical factor whose management should be adjusted to each specific cycle phase. The use of fertigation affects the fruit chemical characteristics as increasing the fruit soluble solids and pH and decreasing acidity (Busato et al., 2011). The fertilization and soil water availability can affect the quality of production. No restrictive level of soil water availability support excessive vegetative growth and competes with berries by assimilated. On the other hand, very several droughts can adversely affect the yield and quality of grape (Busato et al., 2011). Therefore, the main objectives of the study are to:
MATERIALS AND METHODS
This study was conducted during the 2006, 2007 and 2008 growing seasons at a commercial private table grape vineyard, Nubaria region (30º 54´ N; 29° 52´ E; and 25 m a.s.l.), Egypt. This area is characterized by a semi-arid climate. Some climatological data of the experimental site were taken from Nubaria Weather Station and are given in Tables (1 and 2).
Table (1). Average daily climatic parameters for the experimental site during 2006 growing season
Growing Months |
Average minimum daily temperature Tmin (°C) |
Average maximum daily temperature Tmax (°C) |
Average daily temperature Tm (°C) |
Average daily wind speed U2 (m/s) |
Average relative humidity % |
Average daily solar radiation (MJ/m2/day) |
January |
8.7 |
17.6 |
13.2 |
2.72 |
76.87 |
16.07 |
February |
8.3 |
19.4 |
13.8 |
4.04 |
65.50 |
20.44 |
March |
9.2 |
22.1 |
15.6 |
4.40 |
64.68 |
26.56 |
April |
13.0 |
24.9 |
19.0 |
5.39 |
63.07 |
32.13 |
May |
14.3 |
25.9 |
20.1 |
4.43 |
61.35 |
35.85 |
June |
19.4 |
29.4 |
24.4 |
5.15 |
63.20 |
37.37 |
July |
20.6 |
30.5 |
25.5 |
4.83 |
67.39 |
36.60 |
August |
22.1 |
31.4 |
26.7 |
4.45 |
69.55 |
33.44 |
September |
20.8 |
30.3 |
25.6 |
4.43 |
66.53 |
28.37 |
October |
17.0 |
27.9 |
22.4 |
3.72 |
64.26 |
22.52 |
November |
12.2 |
22.1 |
17.2 |
3.63 |
64.77 |
17.51 |
December |
9.5 |
18.9 |
14.2 |
3.51 |
74.61 |
15.07 |
Table (2). Average daily climatic parameters for the experimental site during 2007 growing season
Growing Months |
Average minimum daily temperature Tmin (°C) |
Average maximum daily temperature Tmax (°C) |
Average daily temperature Tm (°C) |
Average daily wind speed U2 (m/s) |
Average relative humidity % |
Average daily solar radiation (MJ/m2/day) |
January |
8.1 |
18.0 |
13.0 |
3.50 |
74.65 |
16.07 |
February |
9.3 |
18.6 |
14.0 |
4.76 |
70.29 |
20.44 |
March |
10.1 |
21.7 |
15.9 |
5.01 |
61.97 |
26.56 |
April |
12.9 |
23.4 |
18.1 |
6.12 |
65.87 |
32.13 |
May |
16.1 |
27.5 |
21.8 |
5.74 |
65.68 |
35.85 |
June |
19.7 |
30.0 |
24.9 |
5.73 |
67.47 |
37.37 |
July |
22.0 |
31.0 |
26.5 |
5.36 |
70.19 |
36.60 |
August |
22.0 |
31.5 |
26.8 |
4.58 |
70.00 |
33.44 |
September |
20.3 |
29.9 |
25.1 |
4.88 |
65.50 |
28.37 |
October |
16.8 |
28.2 |
22.5 |
3.91 |
69.45 |
22.52 |
November |
13.4 |
24.5 |
19.0 |
3.92 |
69.50 |
17.51 |
December |
9.5 |
19.1 |
14.3 |
4.37 |
71.55 |
15.07 |
The experiments were conducted using Superior seedless grapevine irrigated by surface drip irrigation system. The grapevines with 7 years old were trained under Parron Trellising System (Chacon, 1998) spaced 1.5 m between vines × 3 m between rows (vines rows spacing) and the vines were cane pruning. Throughout the growing season the vines were subjected to all various recommended table grape cultural practices performed by the grower.
Soil samples were collected randomly from representative areas of the experimental site (0-30, 30-60 and 60-90 cm depth). Some physical and chemical properties of experimental site are carried out by the methods outlined in Carter and Gregorich (2008) and shown in Table (3).
Table (3). Some physical and chemical analysis of the experimental soil
Unit |
60 – 90 cm |
30 – 60 cm |
0 – 30 cm |
Parameters |
Mechanical Analysis |
||||
% |
84.85 |
84.32 |
88.12 |
Sand |
% |
2.50 |
2.00 |
2.20 |
Silt |
% |
12.65 |
13.68 |
9.68 |
Clay |
|
Loamy sand |
Loamy sand |
Loamy sand |
Textural class |
Mg/m3 |
1.72 |
1.69 |
1.67 |
Soil Bulk Density |
% |
16.1 |
16.2 |
15.6 |
Field capacity |
% |
7.6 |
7.8 |
7.4 |
Permanent wilting point |
% |
8.5 |
8.4 |
8.2 |
Available water content |
- |
8.45 |
8.42 |
8.31 |
pH (1:1,water suspension) |
dS/m |
4.92 |
5.25 |
6.49 |
EC(1:1, water extract) |
% |
32.9 |
31.6 |
28.2 |
CaCO3 |
% |
1.45 |
1.42 |
1.51 |
Organic matter content |
Soluble cations |
||||
meq/L |
22.8 |
21.1 |
30.8 |
Ca2+ |
meq/L |
8.0 |
11.6 |
6.5 |
Mg2+ |
meq/L |
15.1 |
14.8 |
17.3 |
Na+ |
meq/L |
3.2 |
4.7 |
9.8 |
K+ |
Soluble anions |
||||
meq/L |
1.8 |
2.0 |
2.2 |
HCO3- |
meq/L |
21.4 |
22.3 |
23.1 |
Cl- |
meq/L |
26.3 |
28.1 |
39.5 |
SO42- |
Available nutrients |
||||
mg/kg |
136 |
170 |
264 |
Nitrogen (N) |
mg/kg |
45 |
52 |
56 |
Phosphorus (P) |
mg/kg |
425 |
550 |
650 |
Potassium (K) |
The grapevines were irrigated from El Naser canal using surface drip irrigation system. The water sample was taken from El Naser canal for chemical analysis as shown in Table 4 according to Carter and Gregorich (2008).
Table (4). The chemical analysis of irrigation water used in the present study
Unit |
Value |
Parameters |
- |
7.92 |
pH |
dS/m |
1.81 |
EC |
Soluble cations |
||
me/l |
2.2 |
Calcium (Ca+2) |
me/l |
8.7 |
Magnesium (Mg+2) |
me/l |
6.8 |
Sodium (Na+) |
me/l |
0.2 |
Potassium(K+) |
Soluble anions |
||
me/l |
4.3 |
Carbonates(CO3=) |
me/l |
7.3 |
Chloride (Cl-) |
me/l |
6.3 |
Sulfate (SO4=) |
Soluble Nutrients |
||
mg/l |
0.08 |
N |
mg/l |
0.14 |
P |
mg/l |
Trace |
B |
mg/l |
0.07 |
Fe |
mg/l |
0.02 |
Mn |
mg/l |
0.01 |
Cu |
mg/l |
0.10 |
Zn |
The experiment was arranged in Randomized Complete Block Design (RCBD) with three replicates. Three irrigation treatments were applied i.e. 60, 80 and 100% of reference evapotranspiration (ET0) as calculated using Class A pan evaporation data (Allen et al., 1998) and two fertigation programs (F1 and F2) in addition to farm irrigation (according to farm experience) and fertigation practices (IF1) as control. The grapevine was fertigated using two fertigation programs as follows:
through the drip irrigation which depends on applying the nutrients in its individual form with giving only attention for the macro-nutrients without the micro-nutrients which the vines also needs in its different growth stages (Table 5).
The new proposed fertigation program depends on applying the nutrients in its individual form with giving attention on the macro- and micro-nutrients which the vines also needs in its different growth stages (Table 6). The proposed fertigation program (F2) which applying the nutrients and study its effect on the vines and these new strategies could be summarized as follows:
Table (5). The farm fertigation program for grapevine (F1), concentrated solution (200 times)
Salts |
Composition of Concentrated solution (200 times) |
unit |
Calcium nitrate |
141.6 |
g/l |
Ammonium nitrate |
46.9 |
g/l |
Phosphoric acid |
58.8 |
ml/l |
Potassium sulfate |
111.4 |
g/l |
Magnesium sulfate |
49.5 |
g/l |
Boric acid |
0.45 |
g/l |
0.011 |
g/l |
Table (6). The new proposed fertigation program for grapevine (F2), concentrated solution (200 times)
Salts |
Initial stage |
Development stage |
Flowering and fruit set stage |
Filling stage |
unit |
Calcium nitrate |
141.6 |
165.2 |
165.2 |
118.0 |
g/l |
Ammonium nitrate |
46.3 |
31.1 |
10.7 |
8.9 |
g/l |
Phosphoric acid |
29.9 |
59.8 |
89.7 |
59.8 |
ml/l |
Potassium sulfate |
89.1 |
133.6 |
178.2 |
133.6 |
g/l |
Magnesium sulfate |
49.5 |
49.5 |
49.5 |
49.5 |
g/l |
Boric acid |
0.28 |
0.56 |
0.68 |
0.45 |
g/l |
0.008 |
0.015 |
0.018 |
0.015 |
g/l |
|
EDTA |
10 |
10 |
10 |
10 |
g/l |
Fe-chelate (10%) |
3.1 |
6.15 |
6.15 |
4.61 |
g/l |
Mn-chelate (10%) |
0.8 |
1.54 |
1.54 |
0.76 |
g/l |
Cu-chelate (10%) |
0.08 |
0.15 |
0.23 |
0.15 |
g/l |
Zn-chelate (10%) |
0.08 |
0.15 |
0.23 |
0.15 |
g/l |
Systematic determination of several water parameters was carried out to provide basic information for the interpretation of experimental results. The following parameters were determined:
(1)
Where: ET0 is the reference evapotranspiration (mm d-1), Epan is the daily measured pan evaporation rate (mm d-1) and Kpan is the pan coefficient that depends on the relative humidity, wind speed, and the site conditions (bare or cultivated). A value of 0.75 was used for the experimental site according to local climatic condition (FAO, 1970).
Table (7). Crop coefficient of grapevine according to the growth stages
Growing stage |
Kc value |
Initial stage |
0.35 |
Development stage |
0.85 |
Flowering and fruit set stage |
0.85 |
Filing stage |
0.65 |
(2)
Where: AIW= depth of applied irrigation water (mm), ETo= reference evapotranspiration (mm d-1) obtained from class A pan data, Kc= crop coefficient, Kr= reduction factor that depends on the crop cover, Ei= irrigation efficiency of the drip system (assumed as 0.9 ) and LR is the leaching requirements used for salt leaching in the root zone depth (assumed as 0.15).
(3)
Where: t = irrigation time (hr), A= wetted area by an emitter (m2) and q= emitter discharge (m3/hr).
(4)
Where: CU or ETc is the grapevine water consumptive use (mm/day).
(5)
(6)
The following growth and yield parameters were studied:
In 2007 and 2008 vine bud behavior is usually expressed as the percentages of bud burst, bud fertility and fruiting buds (fruitfulness), to realize these relations dormant buds per the studied vines were watched at weekly intervals all along the bursting period and number of busted buds were counted up to the end of the bursting period. In addition, the number of fertile buds buds which gave at least one cluster per vine was also recorded, and then the following formulas were used to estimate:
Bud Burst % = (No of bursted buds/Total number of buds per vine) × 100 (7)
Fruitful buds % = (No of fruitful buds per vine/Total No of buds per vine) × 100 (8)
Coefficient of bud fruitfulness % = (Total no of clusters per vine / Total number of fertile buds) × 100 (9)
At harvest time clusters per vine for each irrigation and fertigation treatments were counted, weighted and average yield per vine in kilograms was estimated subsequently yield, tons per feddan was calculated.
Representative random samples of 15 clusters per each treatment 5 cluster for each replicate were taken to determine the following quality measurements:
Juice ratio = (volume of 100 berries juice/volume of 100 berries) X 100 (11)
Leaf petioles samples were taken at harvesting from each treatment for macro- and micro-nutrients content determination. The leaf samples were dried at 75oC for 48 hours. After dryness, the petioles were milled and stored for analysis as reported. A 0.5g of the petioles powder was wet-digested with H2SO4–H2O2 mixture according to (Lowther, 1980) for the determinations of nitrogen (N), phosphorous (P), potassium (K), calcium (Ca), magnesium (Mg), sulphur (S), iron (Fe), copper (Cu), manganese (Mn), and zinc (Zn) and boron (B) contents according to Jackson (1973).
The experiment was arranged in Randomized Complete Block Design (RCBD). The obtained data throughout the two seasons were subjected to analysis of variance according to Senedecor and Cochran (1991) using Statistix software (Statistix, 2003) and means were separated by the LSD test at 5% probability level.
RESULTS AND DISCUSSION
Vegetative growth
The vegetative growth of grapevine is presented in Table (8) as average of the two seasons (2007 and 2008). The results are significantly affected by irrigation and fertigation treatments except for spure no. and bud break characters. Cane No. was increased with increasing irrigation level. The same trend was noticed with other parameters i.e. spure No., buds No., shoot No. and branch No. The bud break (%) behaves the same trend. The irrigation treatment (80% of ET0) gave the maximum value of all vegetative parameters in which increased by 53.76, 29.85, 59.97, 57.17, 62.50, 12.45 and 19.53% for Cane No, Spure No, Buds No, Shoots No, Bunch No., Bud Break and Fertility, respectively (Table 1). The results in Table (8) also indicated that the vegetative parameters significantly affected by fertigation program. The proposed fertigation program (F2) was more effective on growth parameters than the fertigation program (F1). The proposed fertigation program (F2) was superior over the farm fertigation program (F1) by 3.85, 3.96, 3.78, 8.02, 6.36, 0.94 and 5.30% for the average of all irrigation regimes, respectively.
The results indicated that I2F2 treatment (80% irrigation and proposed fertigation program) was the best treatment which increased most growth characters of grapevine. The results showed that shoot growth is very sensitive to water stress. Some authors have shown that if water is not restricted more shoots could be obtained (Kliewer et al., 1983; Matthews et al., 1987), since irrigation increases the rate of shoot growth during the phase of linear growth (Bravdo and Hepner, 1986). Kliewer et al. (1983) stated that reduction in the rate of shoot growth in irrigated vines can be detected even before any significant differences in predawn leaf water potential occurs, suggesting that the shoot growth rate is a very sensitive indicator of water stress. Water stress also reduced bud break and fertility, this phenomena attributed to the lower activity of the terminal meristem (Kliewer et al., 1983).
Table (8). The vegetative growth characters of grapevine of two seasons as affected by irrigation and fertigation treatments
Irrigation and fertigation treatments |
Cane No |
Spure No |
Buds No |
Shoots No |
Bunch No |
Bud Break (%) |
Fertility % |
Farm)IF1)
|
9.3 |
6.7 |
60.2 |
49.5 |
20.8 |
74.7 |
37.9 |
I1 F1
|
10.7 |
6.7 |
72.0 |
58.7 |
23.5 |
80.0 |
38.1 |
I2 F1
|
13.7 |
8.5 |
93.3 |
76.8 |
30.5 |
83.4 |
46.3 |
I3 F1
|
12.0 |
7.5 |
83.7 |
62.7 |
26.2 |
81.6 |
44.0 |
I1 F2
|
11.2 |
7.2 |
73.8 |
62.5 |
24.5 |
81.3 |
39.5 |
I2 F2
|
14.3 |
8.7 |
96.3 |
77.8 |
33.8 |
84.0 |
45.3 |
I3 F2
|
12.3 |
7.7 |
88.3 |
73.8 |
27.0 |
82.0 |
50.4 |
LSD |
2.4*
|
ns |
22.0* |
19.8* |
9.9*
|
ns |
13.9* |
The present results show the potential to utilize deficit irrigation to control the redistribution of photo-assimilates through a reduction in vigor with a positive effect on light interception in the cluster zone and in the berry composition. The manner of physiological responses to water deficits was identical in both seasons, but most of the effects of deficit irrigation (low irrigation) are more pronounced in all character. This can be explained by the low sensitivity to water stress (Regina and Carbonneau, 1996). By irrigating grapevine with 80% of ET0 we imposed a mild water deficit that led to leaf predawn water potential at the end of the season.
Also, the fertigation strategies significantly affected the vegetative growth. The fertigation program (F1) resulted in less growth than proposed fertigation program (F2). The lower vegetative growth may be caused by less efficient of nutrients uptake compared to the F2 grapevine. Simillar results were observed by Myburgh and Howell (2012) and Howell and Conradie (2013).
Grapevine yield and yield characters
Table (9) shows the grapevine yield as affected by irrigation regime and fertigation practices. Both irrigation regime and fertigation practices affected the no. of cluster per tree. The no. of cluster ranged between 24 and 39 cluster per tree, in which the highest number (39) was recorded for I2 (80% of ET0) and F2 (proposed fertigation practice) and the lowest one (24) was recorded with farm irrigation and fertigation practices (farm practices). Also, the same trend was noticed with average cluster weight, in which the values of 469.5g for I2F2 and 315.1 g for I2F1 were recorded.
The results in Table (9) indicated that irrigation regime significantly affected the vine production and gross yield. Increasing irrigation up to 80% of the potential evapotranspiration (ET0) increased the cluster weight by about 20.28% with the fertigation program (F1) and by about 49.00% with proposed fertigation program (F2) as compared to the farm irrigation and fertigation practices. Also, applying the proposed fertigation program (F2) significantly increased the gross yield by 70.40 and 117.29% over the farm practices, respectively.
Table (9). The grapevine yield of two seasons as affected by irrigation and fertigation treatments
Irrigation and fertigation treatments |
Cluster No. |
Cluster Weight (g) |
Vine production (kg/vine) |
Gross yield Ton/fed |
Farm (IF1)
|
26 |
315.1 |
7.562 |
7.033 |
I1 F1
|
24 |
366.2 |
9.521 |
8.855 |
I2 F1
|
39 |
379.0 |
12.886 |
11.984 |
I3 F1
|
25 |
454.8 |
11.370 |
10.574 |
I1 F2
|
27 |
356.1 |
9.615 |
8.942 |
I2 F2
|
34 |
469.5 |
16.433 |
15.282 |
I3 F2
|
28 |
448.4 |
12.555 |
11.676 |
LSD |
9.29* |
58.5*** |
4.305* |
4.003* |
The yield characters significantly affected by irrigation and fertigation treatments (Table 10). As general, irrigation at 100% ET0 has the high values for both fertigation programs. The increases were 5.18, 11.83, 21.49, 11.04, 8.18 and 13.12% for TSS, total sugar, reducing sugar, weight of 100 berries, volume of 100 berried and volume of juice, respectively for farm fertigation program (F1). The increases for proposed fertigation program (F2) were 12.05, 28.26, 67.30, 20.04, 17.78 and 20.80%, respectively over the farm practices. The proposed fertigation program (F2) was superior over the fertigation program (F1) by 6.53, 14.69, 37.71, 8.11, 8.88 and 14.75 %, respectively (Table 10).
The sugar purity and juice ratio were significantly affected by irrigation and fertigation treatments. The highest values were attained with 60% of ET0 for farm fertigation program (F1) and at 100% of ET0 for proposed fertigation program (F2). The increases were 6.54 and 7.07% for F1 and 14.46 and 10.20% for F2, respectively. In the same time, F2 was superior over F1 by 7.43 and 2.92% respectively. The highest value of non-reducing sugar was attained at 60% of ET0 for both F1 and F2 fertigation programs. The non-reducing sugar was decreased by 0.92, 4.37% for F1 and F2, respectively over the farm practices (Table 10).
The juice percentage of grapevine barriers was affected by irrigation and fertigation treatments in which the highest value was attained at I2 (80% of ET0) and F2 (proposed fertigation practice. The increase was about 10.44% over farm irrigation and fertigation treatments.
The yield of grapevine depends strongly on the soil water regime, and that maximum yield is obtained when near field capacity soil condition are maintained from bud break to veraison (Van Rooyen et al., 1980). Grapevine irrigated at 80% of ET0 produced more yield than grapevine irrigated with 60% of ET0. A wet soil regime (80% of ET0) during berry ripening had a positive impact on juice TSS of grapevine. The grapevines experienced severe post-veraison water deficit had higher TSS in comparison with a well one (El-Ansary et al., 2005).
Acidity was significantly affected by fertilization treatments. F2 fertigation program had significantly higher than F1 fertigation program. Acidity and pH were slightly affected by irrigation; acidity was higher in most irrigated grapes at the end of ripening, mainly due to higher malic acid content. Also, the results of both seasons indicated that vitamin c was not significantly affected by irrigation and fertigation treatments (Table 10).
Because of the high dependence of fruit quality on various environmental and endogenous factors (Jackson and Lombard, 1993), the overall effect of irrigation might change according to other cultural practices, particularly those affecting the crop level (Bravdo et al., 1984; Poni et al., 1994b). Vines with higher crop level seem to benefit more of a higher amount of irrigation both in terms of yield (Lakso et al., 1999) and of fruit composition (Hepner and Bravdo, 1985).
This is normally because under high yield a source limitation for carbohydrates derived from water stress might be more detrimental to proper fruit ripening, hence negatively affecting fruit and wine quality.
Grapevine Evapotranspiration
The average value of reference evapotranspiration (ETo) at the experimental site using class A pan for the two growing seasons (vegetative stage to harvest) was 439.67 mm Table (11). The average daily ET0 was 5.22 and 3.89 mm d-1 and seasonal ETo values were 459.35, 393.47 mm of the two seasons, respectively. The fluctuation of ETo during the different growth stages attributed to the changes of weather conditions and crop water requirements as reported by Allen et al. (1998) in which the evapotranspiration rate was affected by the changes of radiation, air temperature, humidity, wind speed and light intensity.
Daily crop evapotranspiration (ETc) values of grapevine during the two growing seasons were estimated by multiplying ETo and crop coefficient (Kc). This data showed that the mean ETc values in the 1st and 2nd seasons were 3.25 and 2.53, respectively. The average values of ETc for the two growing seasons during (bud break to setting, setting to verasion and verasion to harvest) were 429.4, 283.2, 322.4 and 351.8 mm for Farm, I1, I2 and I3 irrigation treatments, respectively, Table (11).
The data could indicate also that grapevine ETc values varied properly due to the change in both climatic conditions (ETo change) and plant growth (Kc values). The ETc values gradually increased with proceeding plant age till the berries growth stage then the rate decreased till the end of the growth season. This trend is in agreement with the finding of Doorenbos and Pruitt (1977) in which the ETc values increased with the progress in plant growth and reached a peak during some part of the plant growth period, depending on the plant type, growth characteristics and environmental conditions, then tapered off by harvest time.
Applied Irrigation Water (AIW)
The amounts of applied irrigation water to grapevine at different growth stages as average of the two growing seasons under different irrigation treatments are presented in Table (12). The irrigation treatments were applied at vegetative growth stage till the harvest then in post-harvest. All the experimental plots received equal amount of irrigation water to ensure good management of grapevine in this stage. The amount of irrigation water applied at I1, I2 and I3 were 1554.8, 1770.0, and 1986.3 m3/season. As in case of ETc, the amounts of AIW increased with the development of growth stages to reach the peak at mid-season stage and then decreased at late season stage (Table 12).
But for the farm irrigation practice (I), the AIW was 2357.6 m3/fed. The applied water of I1 (60%) during the growing stages were 118.8, 284.8, 209.9 and 941.4 m3/fed for vegetative to flowering, berries growth, berries ripening and post-harvest, respectively. The values for I2 (80%) were 159.8, 383.1, 282.2 and 944.9 m3/fed and the values for I3 (100%) were 199.5, 476.8, 352.9 and 957.2 m3/fed, respectively. The corresponding values for farm irrigation practice were 106.4, 829.0, 515.0 and 907.2 m3/fed.
These results showed that the saved applied irrigation water (AIW) for I1, I2 and I3 treatments were 34.05%, 24.92%, and 15.75% as average of the two growing seasons, respectively over the farm irrigation practice.
Water-Use Efficiency (WUE)
The effect of irrigation and fertigation treatments on WUE of grapevine is presented in Table (13). It is clear that WUE has increased in case of water deficit compared with farm irrigation practice, and it is increased significantly with 80% of ET0 in comparison with non-stressed treatment (100% of ET0).
The data also showed that there were no significant differences between I2F1 and I3F1 and between I1F2, I2F2 and I3F2 treatments in the two growing seasons. The 80% of ET0 irrigation treatment (I2) gave optimum yield under different two fertilizer programs (F1 and F2). The results indicated that crop water-use efficiency (CWUE) has the highest value with 80% of ETo treatment for both fertigation programs. It is account as 42.24 and 46.12 kg/mm of water with increases of 132.49 and 151.47% over the farm practices (Table 13). The proposed fertigation program (F2) was superior to the farm fertigation program (F1) by 8.16%. Also, the irrigation water-use efficiency (IWUE) behaved the same trend in which the values were 7.77 and 8.40 kg/m3.
Table (10). The yield characters of grapevine of two seasons as affected by irrigation and fertigation treatments
Irrigation and fertigation treatments |
TSS % |
Total sugar % |
Reducing sugar % |
Non Reducing sugar % |
weight of 100 berries g |
volume of 100 berries cm3 |
volume of juice cm3 |
Purity % |
Juice ratio % |
VC mg/100 ml juice |
AC (%) |
Farm(IF1)
|
16.02 |
11.75 |
7.40 |
4.35 |
452.0 |
433.0 |
365.1 |
73.35 |
84.32 |
0.416 |
0.462 |
I1 F1
|
16.20 |
12.66 |
8.35 |
4.31 |
486.9 |
446.7 |
403.3 |
78.15 |
90.28 |
0.555 |
0.414 |
I2 F1
|
16.78 |
13.04 |
8.91 |
4.13 |
501.0 |
462.8 |
410.0 |
77.71 |
88.59 |
0.555 |
0.442 |
I3 F1
|
16.85 |
13.14 |
8.99 |
4.15 |
501.9 |
468.4 |
413.0 |
77.98 |
88.17 |
0.555 |
0.408 |
I1 F2
|
17.18 |
13.17 |
9.01 |
4.16 |
526.0 |
500.0 |
417.1 |
76.66 |
83.42 |
0.555 |
0.489 |
I2 F2
|
17.53 |
14.60 |
10.94 |
3.66 |
541.3 |
508.9 |
433.3 |
83.29 |
93.12 |
0.555 |
0.489 |
I3 F2
|
17.95 |
15.07 |
12.38 |
2.69 |
542.6 |
510.0 |
473.9 |
83.96 |
84.96 |
0.624 |
0.428 |
LSD |
1.38* |
1.18* |
1.83*
|
1.68ns
|
58.9* |
53.8* |
61.1* |
7.56* |
7.78*
|
ns |
ns |
Table (11). Average grapevine evapotranspiration and applied irrigation water (mm/season)
Irrigation treatments |
ET0 (mm/season) |
ETc (mm/season)
|
Applied water (m3/fed) |
Water saving % |
Farm (I) |
374.4 |
429.42 |
2357.6 |
- |
I1 |
374.4 |
283.2 |
1554.8 |
34.05 |
I2 |
374.4 |
322.4 |
1770.0 |
24.92 |
I3 |
374.4 |
351.8 |
1986.3 |
15.75 |
Table (12). The applied Irrigation water (m3/fed) to grapevine during growth stages of two seasons
Growth stages |
Irrigation regime |
Farm irrigation |
||
I1 |
I2 |
I3 |
I |
|
Vegetative to Flowering (Bud Break to Setting) |
118.8 |
159.8 |
199.5 |
106.4 |
Berries Growth (Setting to Verasion) |
284.8 |
383.1 |
476.8 |
829.0 |
Berries Ripening(Verasion To Harvest) |
209.9 |
282.2 |
352.9 |
515.0 |
Post-Harvest (Harvest to Dormancy) |
941.4 |
944.9 |
957.2 |
907.2 |
Total (m3/fed) |
1554.8 |
1770.0 |
1986.3 |
2357.6 |
Saving water over farm irrigation (%) |
34.05 |
24.92 |
15.75 |
0.00 |
Table (13). Average grapevine water–use efficiency of two seasons as affected by irrigation and fertigation treatments
Irrigation and fertigation treatments |
Y |
ETc |
AIW |
CWUE |
IWUE |
ton/fed |
mm/fed |
m3/fed |
kg/mm |
kg/m3 |
|
Farm (IF1) |
7.87 |
429.42 |
2357.60 |
18.34 |
3.34 |
I1 F1 |
8.28 |
283.20 |
1554.82 |
29.22 |
5.32 |
I2 F1 |
13.75 |
322.40 |
1770.04 |
42.64 |
7.77 |
I3 F1 |
10.55 |
351.80 |
1986.30 |
30.00 |
5.31 |
I1 F2 |
9.10 |
283.20 |
1554.82 |
32.13 |
5.85 |
I2 F2 |
14.87 |
322.40 |
1770.04 |
46.12 |
8.40 |
I3 F2 |
11.67 |
351.80 |
1986.30 |
33.17 |
5.87 |
Deficit irrigation is based on the fact that crop sensitivity to water stress varies along the growth cycle and because discontinuous water deficits during specific periods may benefit WUE, increase water savings and improve berry quality (McCarthy et al., 2002; Loveys et al., 2004; Cameron et al., 2006). On the other hand, over-irrigation results in higher costs of water, energy and nutrients lixiviation, while less irrigation can cause major losses in yield and quality. In grapevines, deficit irrigation strategy is generally implemented in post-veraison phase, i.e. at the onset maturation, because reductions in water before this stage can significantly decrease berry size and yield (Faci et al., 2014; Conesa et al., 2015). By using the water deficit strategy, plant water status can be maintained within certain limits of water deficit (with respect to maximum water potential) at specific phases of the crop cycle, normally when fruit growth is least sensitive to water deficit (Marsal et al., 2002; Kang and Zhang 2004).
Also, Serman et al. (2004) reported for the cv. “Superior Seedless” grown under a Mediterranean climate type that 70 and 100 % of ETc irrigation treatments resulted in similar yield and in a reduction of 3000 m3 ha-1 of irrigation water and an increase of WUE from 2.4 to 3.1 kg m-3 .
WUE was significantly decreased as water stress treatments increased but increased significantly with proposed fertigation program (F2). Similar results were found by Palliotti et al. (2001) and Sepaskhah and Ghahraman (2004), in which the highest WUTE was observed under I2 irrigation treatment (I2) (80% of ETc) and proposed fertigation program (F2).
Petiole Nutrients content
Date presented in Table (14) illustrated that irrigation and fertigation treatments significantly affected the grapevine petioles nutrients content except for sodium content. All nutrients content were found to be adequate for plant and grapevine and not suffer from nutrients deficiency according to the standard value illustrated in Tables (15 and 16). Results from tissue analyses compared with standards (guidelines) which place each nutrient into a particular classification (e.g. deficient, marginal, adequate, high or toxic) allows semi-quantitative conclusions to be made regarding vine nutrient status and vineyard fertilizer requirements. Various nutrients affect the quality of fruit produced by the grapevine which, in turn, has an influence on wine quality. These effects can either be direct through the effect on berry composition which determines the taste and aroma profile of the wine, or indirectly through the influence on vegetative growth.
The petiole standards shown in Table (15) are the best available at the present time. These are generally regarded as being appropriate for commercial, high yielding, irrigated vineyards and are aimed at maintaining ‘adequate’ levels. They are not necessarily appropriate for lower yielding, irrigated or dry-grown vineyards (Table 16).
Nutrients involved in development of grapevines, photosynthetic functioning and metabolic pathways are required in certain quantities to ensure healthy growth and performance. Essential elements are classified and macro- or micronutrients dependent on the quantity of that element required by the plant. Macronutrients include nitrogen, phosphorous, potassium, calcium, magnesium and sulfur occurs at high levels in plant tissue, 0.2 to 3% of dry weight. Micronutrients occur at lower levels in plant tissue; iron and manganese at 50 to 150 ppm dry weight and molybdenum, copper, zinc and boron at 0.5 to 40 ppm dry weight. If an element is not available in adequate amounts then vine performance is limited by the supply of that one element. In the case of micronutrients, the availability, rather than element concentration that is often the limit when deficiencies are recorded. Deficiencies or toxicity of individual essential elements can result in characteristic foliar symptoms and restricted growth habit.
In this study, fertigated grapevines were found to have higher levels of N in the petioles at fruit set than conventionally fertilized grapevines (Conradie and Myburgh, 2000). However, less Mg was found in both the leaf blades and petioles of the fertigated grapevines. Neither fertigation nor conventional fertilization influenced the mineral ions in the grape juice.
Many important observations were made from the present study:
Table (14). Average nutrients content in grapevine petioles of two seasons as affected by irrigation
and fertigation treatments
Irrigation and fertigation treatments |
N |
P |
K |
Ca |
Mg |
Na |
S |
Fe |
Mn |
Cu |
Zn |
B |
% |
mg/kg |
|||||||||||
Farm (IF1) |
0.86 |
0.26 |
1.37 |
1.21 |
0.26 |
0.16 |
0.16 |
56.3 |
32.6 |
5.5 |
28.5 |
26.2 |
I1 F1 |
0.91 |
0.28 |
1.43 |
1.24 |
0.29 |
0.13 |
0.18 |
59.4 |
33.4 |
6.5 |
28.8 |
28.1 |
I2 F1 |
0.97 |
0.33 |
1.50 |
1.29 |
0.31 |
0.13 |
0.21 |
65.6 |
36.3 |
7.8 |
32.0 |
30.2 |
I3 F1 |
1.06 |
0.37 |
1.57 |
1.34 |
0.32 |
0.16 |
0.23 |
70.2 |
40.4 |
9.5 |
37.2 |
32.6 |
I1 F2 |
1.03 |
0.34 |
1.86 |
1.27 |
0.34 |
0.12 |
0.22 |
66.5 |
36.5 |
8.1 |
33.0 |
27.9 |
I2 F2 |
1.13 |
0.41 |
2.03 |
1.42 |
0.42 |
0.13 |
0.26 |
86.6 |
41.1 |
9.8 |
36.2 |
31.3 |
I3 F2 |
1.21 |
0.46 |
2.12 |
1.57 |
0.47 |
0.14 |
0.30 |
93.3 |
46.0 |
11.9 |
41.1 |
36.2 |
LSD |
0.06** |
0.06** |
0.32** |
0.08** |
0.06** |
NS |
0.05** |
5.03** |
4.86** |
1.79** |
4.04** |
3.18** |
Table (15). Plant tissue analysis guidelines for testing nutrients content
in grapevine optimum norms
Nutrients |
Thompson |
Full Bloom |
Veraison |
N (%) |
0.87-1.61 |
1.6 – 1.8 |
0.9 – 1.3 |
P (%) |
0.29-0.65 |
0.20 – 0.60 |
0.16 – 0.29 |
K (%) |
2.0-3.0 |
1.50 – 5.00 |
1.50 - 2.50 |
Ca (%) |
0.98-1.36 |
0.40 – 2.50 |
1.20 – 1.80 |
Mg (%) |
0.63-1.10 |
0.13 – 0.40 |
0.26 – 0.45 |
Fe (mg/kg) |
54-80 |
40 – 180 |
31 – 50 |
Mn (mg/kg) |
42-209 |
18 - 100 |
31 – 150 |
Zn (mg/kg) |
30-88 |
20 – 100 |
30 - 50 |
Cu (mg/kg) |
5-10 |
5 – 10 |
5 – 15 |
B (ppm) |
31 - 70 |
25 – 50 |
25 – 50 |
Table (16). Grapevine petiole nutrients content interpretation from the present study
Nutrient |
range |
Interpretation |
N (%) |
0.86 – 1.21 |
Normal |
P (%) |
0.26 – 0.46 |
Normal |
K (%) |
1.37 – 2.12 |
Normal |
Ca (%) |
1.21 – 1.57 |
Normal |
Mg (%) |
0.26 – 0.47 |
Normal |
Fe (mg/kg) |
56.3 – 93.3 |
Normal |
Mn (mg/kg) |
32.6 – 46.0 |
Normal |
Zn (mg/kg) |
28.5 – 41.1 |
Normal |
Cu (mg/kg) |
5.5 – 11.9 |
Normal |
B (ppm) |
26.2 – 36.2 |
Normal |