RESEARCH PAPER

 

Improving the growth, yield, and quality of ginger (Zingiber officinale Rosc.) through irrigation and nutrient management: a study from an Ineeptisol of India

 

 

Sanmay Kumar Patra^I; Sudip Sengupta^{I, II}; Ratneswar Poddar^III; Kallol Bhattacharyya^I

^IDepartment of Agricultural Chemistry and Soil Science, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur 741252, Nadia, West Bengal, India
^IIDepartment of Agriculture, Swami Vivekananda University, Barrackpore 700121, Kolkata, West Bengal, India
^IIIDepartment of Agronomy, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur 741252, Nadia, West Bengal, India

Correspondence

 

 

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ABSTRACT

A proper protocol of efficient irrigation and nutrient management for ginger is a necessity for boosting the productivity and quality of the crop in high-intensity cultivated lands. For this, a field experiment for 3 consecutive years was conducted in an Inceptisol of India to optimize irrigation schedule and nutrient management for augmenting rhizome yield and crop water productivity (CWP) of ginger. The trial was laid out in a split plot design with 12 treatment combinations consisting of 4 levels of irrigation schedules viz., rainfed and a ratio of 0.6 (I₂), 0.9 (I₃) and 1.2 (I₄) of irrigation water to cumulative pan evaporation (IW/CPE) and 3 levels of nutrient management: 100% recommended dose of fertilizer (RDF) through inorganic (N₁), 75% RDF (inorganic) + 25% RDF through vermicompost (VC) (N₂) and 50% RDF (inorganic) + 50% RDF through VC (N₃). Mean maximum growth and yield components, quality parameters, green rhizome yield (12.63 Mg-ha^-1) and highest nutrient uptake were obtained with I₄N₂, which was statistically on par with I₃N₂. The treatment combination I₁N₂ exhibited maximum CWP. Well-managed irrigation and nutrient scheduling is key to improving ginger production and its marketability for better financial returns.

Keywords: ginger, irrigation schedule, nutrient source, yield, quality, water productivity

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INTRODUCTION

Ginger (Zingiber officinale Rose.), belonging to the Zingiberaceae family, is a commercially important herbaceous perennial, usually grown as an annual spice. It is extensively cultivated in the tropical to temperate climates of the world for its flavour, and pungency, and aromatic and healing characteristics associated with its essential oil and oleoresin contents (Srinivasan et al., 2018). India has the largest share in total area under ginger cultivation (34.6%) and annual production (29%) in the world and exports 10-15% of its produce. However, average ginger productivity in India is only 3.6 Mg-ha^-1, far below the global average (Kallappa et al., 2015).

The availability of water is a significant constraint which determines the growth, yield and quality of produce. Excessive or deficit irrigation during critical growth stages negatively affects yield and quality (Pereira et al., 2009). Ginger can be grown under both rainfed and irrigated conditions depending on the frequency and distribution of rainfall (Sharma and Sharma, 2012). The flood method of irrigation is widely practiced, resulting in losses of water to deep percolation, seepage, runoff and evaporation (Arjun, 2009). With a limited water supply, optimum irrigation scheduling is vital to providing a congenial soil water regime in the root zone at the appropriate time (Himanshu et al., 2013). Deficit irrigation is a modern irrigation management strategy in water-scarce areas, maintaining soil moisture below field capacity during some non-critical periods or across the total growing season, and can prevent soil water stress, improve water use efficiency and achieve substantial water-saving with minimum yield decline (Pereira da Silva et al., 2013; Pawar et al., 2020; Tolossa, 2021). The climatological approach of irrigation scheduling based on the ratio of depth of irrigation water to cumulative pan evaporation (IW/CPE) has been widely used as it is simple, easily operative, interpretable and adaptable at the farmer's level (Bandyopadhyay et al., 2005; Lordwin et al., 2007).

Ginger is a shallow-rooted plant and a gross feeder of nutrients and hence requires a plentiful supply of nutrients at critical growth stages. Imbalance, low or no fertilizer application is a constraint which adversely affects growth and yield of rhizomes (Dinesh et al., 2012; Bekeko, 2014). However, the injudicious and indiscriminate use of chemical fertilizers deteriorate the soil's physical, chemical and biological environment, and reduce yield considerably (Patra and Sengupta, 2022). Vermicompost is the bio-degradable product of organic matter by mutual interactions of earthworms and microorganisms. It is an excellent nutrient-rich natural biofertilizer, plant growth promoter, and soil conditioner that supplies primary, secondary, and micronutrients to plants and improves soil properties and yield (Singh and Singh, 2007; Singh et al., 2008). Providing adequate and balanced nutrients by combining organic manures and inorganic chemical fertilizers in suitable proportions remains a viable choice for sustainable crop production, maintaining soil health and safeguarding the environment (Shaikh et al., 2010; Yanthan et al., 2010; Taheri et al., 2011; Ayalew and Dejene, 2012; Singh et al., 2015).

In the Gangetic plains of India, ginger is a promising high-value crop and is growing in popularity due to fetching high prices on the market. The resource-poor small and marginal farmers traditionally grow the crop under rainfed conditions. But due to uncertain or uneven rainfall distribution, the crop experiences water-stressed conditions at different physiological stages, resulting in lower marketable yield and rhizome quality. Many studies have addressed the individual response to integrated nutrient management or irrigation scheduling in improving growth and yield of ginger. But there is little information on the coupling effects of variable water-stressed conditions and integrated nutrient management. The present study was, therefore, conducted to explore the combined effects of irrigation scheduling and nutrient management on growth, yield attribute, fresh rhizome yield and quality, and water productivity of ginger in an Inceptisol of the lower Gangetic plains region of India.

 

MATERIALS AND METHODS

Experimental site and soil characteristics

The field experiment was conducted on sandy loam soil (69.8% sand, 15.5% silt and 14.7% clay; Typic Fluvaquept) for 3 successive years, 2016-17, 2017-18 and 2018-19, at the Central Research Farm, Regional Research Station, Bidhan Chandra Krishi Viswavidyalaya, Gayeshpur, Nadia, West Bengal, India (22°58'31'' N, 88°26'20'' E and altitude of 9.75 m amsl). The site has a subtropical humid climate with an average annual rainfall of 1 450 mm. The mean monthly meteorological parameters for the crop growth period across the three experimental years are given in Table A1 (Appendix). The groundwater table depth fluctuates from 6.2 to 7.6 m below ground level. The experimental soil (0-20 cm) has a bulk density of 1.49 Mg-m^-3, hydraulic conductivity of 22.8 mm-h^-1, field capacity of 52.37% (w/w), permanent wilting point of 15.64% (w/w), pH 6.7, EC 0.37 dS-m^-1, organic carbon of 5.6 g-kg^-1, CEC 15.6 cmol(+)-kg^-1 and is low in available nitrogen (153.7 kg-ha^-1), medium in available phosphorus (27.8 kg-ha^-1) and available potassium (145.5 kg-ha^-1).

Experimental design and treatments

The experiment, comprising 12 treatment combinations, was laid down in a split-plot design with 3 replicates. Four irrigation schedules, viz., Ij = rainfed, I₂ = 0.6 IW/CPE, I₃ = 0.9 IW/CPE, and I₄ = 1.2 IW/CPE, were assigned in main plots, and 3 nutrient management treatments, viz., N = 100% recommended dose of inorganic fertilizer (RDF), N₂ = 75% RDF + 25% RDF as organic vermicompost (VC), and N₃ = 50% RDF + 50% RDF as VC was allotted in sub-plots.

Agronomic manipulations and data recording

The land was brought to a fine tilth by 3 cross ploughings with a rotary power tiller followed by harrowing and levelling. The experimental field was partitioned into 3 equal blocks and each block divided into 12 sub-plots of 3.5 m x 2.5 m and raised to 0.15 m in height, keeping 0.60 m between beds and a 1.0 m wide irrigation channel between blocks. Disease- and pest-free healthy medium-sized (25-30 cm) rhizomes (cv. Gorubathan) were planted in the raised beds with crop geometry of 0.25 m row to row and 0.25 m plant to plant distance, accommodating a plant population of 140 per plot (160 000 ha^-1). The seed rhizomes were planted on 19 April 2016, 12 April 2017 and 15 April 2018 and harvesting was completed on 23 February 2017, 18 February 2018 and 20 February 2019, respectively. The growing period of the crop was 310-312 days. The RDF was N:P₂O₅:K₂O::75:50:50 kg-ha^-1 applied in the form of urea, single superphosphate and muriate of potash. A full dose of P and K and half dose of N, as per adopted treatment schedules, were applied as basal at the time of planting, and the remaining half dose of N was top-dressed in two equal splits at 45 and 90 days. The vermicompost containing 2.5% N, 1.48% P, and 1.2% K was incorporated into the soil as a single basal dose and mixed with the soil during the final land preparation. The routine intercultural and standard plant protection measures were followed uniformly.

Measurements of plant parameters, yield and quality

Five plants from the centre of each treatment and replicate were randomly selected and tagged at the time of harvest, and used to record the growth parameters: plant height; number of leaves per plant; yield attributes like finger length; green (fresh) rhizome yield. The plant height and finger length were determined using a measuring tape, while the number of leaves per plant was counted manually. The quality attributes of fresh rhizome, i.e., essential oil and oleoresin contents, were determined by laboratory analysis.

Irrigation scheduling

Irrigation scheduling was imposed based on irrigation water to cumulative pan evaporation (IW/CPE) ratios of 0.6, 0.9 and 1.2. The depth of irrigation water for each irrigation treatment was 0.05 m. The quantity of water applied was measured with the help of a Parshall flume installed at the head of the experimental plot. The CPE data was monitored from a standard USWB Class A Pan evaporimeter located inside the experimental site. Irrigations were given when IW/CPE ratio reached the target level. The farmers' practice of non-irrigated (rainfed) treatment was taken as control. The number of irrigations, depending on the rainfall condition, were 1, 1 and 2 for 2016-17; 4, 6 and 7 for 2017-18 and 3, 4 and 5 for 2018-19 at IW/CPE ratio of 0.6, 0.9 and 1.2, respectively. The amount of irrigation water applied under different irrigation schedules is given in Table A2 (Appendix), based upon the crop growth stages of germination (0-30), vegetative (31-90), rhizome initiation (91-135), rhizome development (136-225) and maturity (226-270 days after planting).

Seasonal crop water use

Seasonal crop water use (CWU) or actual crop evapotranspiration (ETa) during the entire growing period (planting to harvest) of ginger was computed by the one-dimensional field water balance equation (Simsek et al., 2005) as follows:

where I = irrigation water applied (mm), P = precipitation (mm), ASW = change in soil water storage between planting and harvest (mm), Dp = deep percolation (mm), Cp = water use by crop through capillary rise from groundwater table (mm) and Rf = runoff (mm). The effective rooting depth of ginger plants was estimated to be 0.45 m, although periodic soil moisture contents to a depth of 0.60 m were recorded. Cp is assumed to be negligible as the depth of groundwater was 5-6 m below the ground surface. Both Rf and Dp were eliminated, as irrigation water application was carefully managed to prevent bund-overflow or runoff. The portion of rainwater retained in the root zone and extracted by the plant is considered effective rainfall (Patra et al., 2022). Effective rainfall (Re) was calculated by deducting Dp from P. Thus, ETa = I + Re ± ΔSW

Crop water productivity

The crop water productivity (CWP) is computed as the ratio of rhizome yield to the amount of water depleted by crop evapotranspiration, as proposed by Kang et al. (2009) as CWP = Y/ETa (kg-m³), where Y is fresh rhizome yield (kg-ha^-1), and ETa is actual seasonal crop evapotranspiration (m³-ha^-1).

Crop yield response factor

Crop yield response factor (Ky) is the response of yield to water use during the crop growing season and was quantified using Stewart's model (Bhowmik et al., 2020; Saha et al., 2021) as, IMAGEMAQUI where Ya and Ym are the actual and maximum rhizome yield (kg-ha^-1), ETa and ETm are the actual and maximum evapotranspiration (mm), and Ky is the yield response factor of ginger to deficit irrigation, i.e., the slope of the linear relationship between the reduction in relative yield and evapotranspiration.

Soil water determination

Profile soil water contents were computed by thermo-gravimetric method at planting, before, and 24 h after, irrigation and rainfall, every fortnight, and at harvest. Treatment-wise, soil samples were collected from the plot centre at 0.15 m depth intervals to a depth of 0.6 m by a soil auger.

Soil and plant analysis

The basic physicochemical and chemical properties of the representative soil samples were analysed for pH and electrical conductivity (EC) using a 1:2 soil to water suspension (Panda and Patra, 2018), organic carbon by wet digestion method (Panda and Patra, 2018), cation exchange capacity (CEC) by NH₄OAc extraction method (Momin et al., 2018), available N (Patra and Sengupta, 2022), available P (Sengupta et al., 2021) and available K (Dasgupta et al., 2021). The soil mechanical composition was determined by the hydrometer method (Saha et al., 2021), while the bulk density, saturated hydraulic conductivity (HC), field capacity (FC) and permanent wilting point (PWP) were estimated using the standard methods (Momin et al., 2018). Whole plant samples (both below- and above-ground parts) were collected at maturity, dried, ground to fine powder, digested in the triacid mixture (HNO₃:HClO₄:H₂SO₄ : 10:4:1, v/v) and N, P and K concentrations in the extract were determined (Saha et al., 2021). The nutrient uptake by the plant was calculated as the product of the concentration of the respective element and dry matter yield. The quality parameters assessed through the essential oil (% v/w) and the oleoresin contents of fresh ginger were determined by petroleum ether and by hexane solvent, respectively, following the methods of Sadasivam and Manickam (1996).

Statistical analysis

The data obtained for plant and soil variables were subjected to one-way analysis of variance techniques using Microsoft Excel 2016 and R-studio. Statistical significance between means of individual treatments and their interactions were assessed using the Fisher's least significant difference (LSD) test at p < 0.05 (Gomez and Gomez, 1984). Analysis of one-way ANOVA revealed that the variations in data across the cropping seasons and the interaction effects between year x irrigation and year x nutrient management were not significantly different. Further, since the variation in data across the experimental years was estimated to be homogeneous by performing Bartletts chi-square test, and interactions between irrigation and nutrient management were almost similar, the year variance was pooled with the experimental error variance to draw the inferences.

 

RESULTS AND DISCUSSION

Effect of irrigation and nutrition on fresh rhizome yield, growth and yield attributes

Irrigation and nutrient management had significant influences on fresh rhizome yield in each experimental year and for the pooled values (Table 1) and growth and yield attributes (Table 2) of ginger.

The comparatively higher yield was noticed during the 2017-18 experimental season, mainly due to prevailing well-distributed low-intensity rainfall, high evaporation and climatic temperature, and better management of different irrigation interventions all along the plant growth stages (Table A1, Appendix). In 2016-17 and 2018-19 growing seasons, uneven distribution of very high intensity rainfall followed by high levels of deep percolation loss of water (1 598 mm and 3 698 mm) at rhizome initiation (90-135 DAP) and vegetative period (20-90 DAP), respectively, and less evaporation and lower temperature resulted in relatively lower rhizome yield. The pooled data over 3 years showed that the highest average rhizome yield of 10.92 Mg-ha^-1 was obtained with I₄, which was on par with marginal water stress regime I₃ (10.85 Mg-ha^-1). However, both irrigation treatments were statistically superior to the high water stress regime I₂ (8.76 Mg-ha^-1). The yield improvement in I₄ and I₃ was mainly due to increased growth and yield constituents in respect of tallest plants, increased number of leaves per plant and longest finger length due to higher irrigation regimes (Table 2). The lowest average rhizome yield (7.10 Mg-ha^-1) was found in I₁, with stunted plant height, decreased number of leaves per plant, and smallest finger length. The overall decrease in yield in the varying deficit irrigation regime of I₁, I₂ and I₃ compared to I₄ was 35.0, 19.8 and 0.6%, respectively. It is evident from the computed periodic soil moisture data (Figs 1 and 2) that during the first, second and third years of the experiment the magnitude of soil water storage under 4 irrigation schedules were in the order of I₄ > I₃ > I₂ > I₁. In contrast, the magnitude of soil water depletion follows I₁ > I₂ > I₃ > I₄. This amply indicates that high soil water stress in rainfed conditions as well as in the higher level of deficit irrigation scheduling (I₂), proved to be detrimental to ginger plants, leading to the drastic reduction of rhizome yield, especially during rhizome initiation and rhizome bulking stage in the rainfed situation (Singh et al., 2015).

Water-stressed treatments, due to nil or low amount of irrigation water supply, as compared with well-watered treatments, might have caused more negative effects on plant height, yield attributes and finally rhizome yield by way of depressed crop canopy, greater stomatal closing and lower photosynthetic area, which eventually decreased photosynthesis and translocation to lower storage organs (Gatabazi et al., 2019). These findings agree with those of Islam et al. (2015) that irrigation treatment in a dry period produced enhanced vegetative growth and more leaves per plant, which likely contributed to higher photosynthesis and accumulation of more food material in the underground rhizome. A contrasting result was obtained by Arjun (2009) in the semi-arid tropics of India, where the application of irrigation through a floppy sprinkler system followed by overhead sprinkler and drip irrigation recorded higher growth, yield attributes and fresh rhizome yield of ginger than surface irrigation. Maintaining a marginal deficit irrigation regime (I₃) across the growth stages was the best irrigation treatment, due to better distribution of water around the root zone and concomitant utilization by plants.

The treatment N₂ recorded the highest fresh rhizome yield in each growing season and for the pooled data over 3 years, and was significantly superior to N₁ and N₃. Mean maximum yield was obtained with treatment N₂ (10.62 Mg-ha^-1) followed by treatment N₁ (9.56 Mg-ha^-1) and the lowest yield with treatment N₃ (8.05 Mg-ha^-1). Increased rhizome yield in N₂ could be attributed to the balanced and continuous supply of macro-and micronutrients to ginger plants, where inorganic fertilizers provide readily available nutrients during early growth stages and vermicompost slowly releases nutrients throughout the growth period, which resulted in better growth, yield raising components and higher green rhizome production (Das et al., 2020). It is notable that when more than 25% of expensive chemical fertilizers in RDF are substituted by applying organic VC, there is a direct positive influence on growth and yield components. Similar findings were noted by Arjun (2009) and Shaikh et al. (2010) that RDF as mineral fertilizer supplemented with farmyard manure at 25 Mg-ha^-1 gave maximum green rhizome yield of ginger. In our study, the application of 100% RDF as soluble fertilizers in split doses recorded moderate yield, presumably due to higher losses of nutrients in deep percolation, due to high intensity of rainfall, thereby causing lower plant nutrient uptake. On the other hand, the dual application of 50% RDF as inorganic fertilizers and 50% RDF as organic VC recorded the lowest rhizome yield in all seasons and pooled value (7.86 Mg-ha^-1 for 2016-17, 8.10 Mg-ha^-1 for 2017-18, 8.17 Mg-ha^-1 for 2018-19 and 8.05 Mg-ha^-1 for pooled data). This could be attributed to slow mineralization and low release of nutrients from organic vermicompost, which did not match plant nutrient requirements at all growth stages.

The interaction effects between irrigation scheduling and nutrient management on growth attributes, yield enhancing component, and fresh rhizome yield were significant in all three seasons and for pooled data (Tables 1 and 2). The highest yield of 12.71, 13.15, 12.23 and 12.70 Mg-ha^-1 during the growing seasons and in the pooled analysis (described earlier), respectively, was obtained with I₄N₂ and was statistically on par with I₄N₁, I₃N₂ and I₃N₁. This indicated that higher or marginal deficit level of irrigation (I₄ and I₃), coupled with adequate nutrient supply, either through inorganic fertilizers alone (N₁) or integration of inorganic fertilizers and organic vermicompost at a 3:1 ratio in the recommended nutrient schedule (N₂), registered higher growth, yield components and rhizome yields of ginger as a result of higher water and nutrient uptake under favourable soil water-nutrient regimes across the growth stages. Conversely, the significantly lowest green rhizome yield was observed under I₁N₃. This was mainly due to high water stress experienced under rainfed conditions coupled with low nutrient supply through the conjoint application of readily available inorganic fertilizers and slowly available organic vermicompost at 1:1 proportion (N₃), resulting in low availability and utilization of water and nutrients by plants. The results support the findings of Arjun (2009) that significant interactions effects exist between irrigation and integrated nutrient management on the fresh rhizome yield of ginger.

Effect of irrigation and nutrition on quality parameters

The pooled data over the three years (Table 2) showed significant differences in the effects of irrigation and nutrition on ginger quality, evaluated through essential oil and oleoresin components. Irrigation I₄ produced mean maximum essential oil (0.43%) and oleoresin (3.75%) contents statistically on par with irrigation I₃. Mean minimum essential oil and oleoresin contents were obtained in irrigation I₁. This revealed that increased water application greatly influenced ginger's essential oil and oleoresin contents.

Likewise, the highest average essential oil and oleoresin contents (0.45 and 3.74%, respectively) were accomplished with treatment N₂ which was significantly superior to other nutrient treatments. By contrast, the lowest average contents of essential oil and oleoresin were found with treatment N₃. Treatment N₁ demonstrated intermediate essential oil and oleoresin contents. Yanthan et al. (2010) recorded the maximum oil yield and oleoresin content with 50% NPK + 50% pig manure application. However, based on 2-year pooled data, Arjun (2009) found maximum oleoresin content with 100% RDN (recommended dose of nitrogen) through organic sources and 75% RDN through organic sources plus 25% RDN through inorganic fertilizer.

The interaction results showed that I₄N₂ yielded the highest essential oil (0.47%) and oleoresin (3.93%) contents, which were statistically similar with I₄N₁, I₃N₂ and I₃N₁. On the other hand, I₁N₃ produced the lowest essential oil and oleoresin contents. The results indicated that higher or marginal deficit irrigation scheduling, accompanied with full RDF or 75% RDF + 25% RDF as VC, resulted in maximum quality attributes of ginger, which is in line with the observations of Seyie et al. (2013).

Seasonal crop water use

The soil water balance components, including ETa and CWP, during the three crop growing periods and for their pooled values are shown in Table 3. The amount of irrigation water applied varied between years based on rainfall and soil water storage distribution. The profile water contribution (PWC) in each experimental year did not vary much; however, the contribution was less during the season of 2017-18, presumably due to the greater depth of the groundwater table due to the relatively lower amount of rainfall received. The amount of effective rainfall during 2017-18 (141 mm) was much less than in 2016-17 (280 mm) and 2018-19 (180 mm). This was due to well-distributed low rainfall intensity all along the growing stages. About 992 mm water out of1 133 mm of rainfall received was lost to deep percolation, particularly in the rhizome initiation stage. During the growing season of 2016-17, deep percolation loss was about 1 598 mm out of 1 878 mm rainfall received in the cropping period; the maximum loss occurred in vegetative and rhizome initiation stages. In the third growing season, deep percolation loss was about 3 698 mm, especially in the vegetative growth stage (404 mm at 33 days after planting and 1 402 mm at 59 days) out of the maximum 3 878 mm rainfall received, resulting in moderate Re. Irrigation water applied in I₂, I₃ and I₄ was 133.3, 183.3 and 233.3 mm, respectively. The average Re during the experimental years was 200.5 mm each for I₂, I₃ and I₄, while under the rainfed condition it was slightly higher at 228.8 mm. Average PWC, irrespective of adopted irrigation regimes, varied from 19.8 to 22.1 mm. The drier irrigation regime was found to contribute relatively higher soil profile water than wetter irrigation regimes. Thus, the average ETa was 355.0, 404.1 and 454.4 mm for I₂, I₃ and I₄, respectively, and 250.0 mm for I₁.

Crop water productivity

The mean maximum CWP (3.00 kg m^-3) was found in I₁, which indicates that whatever water was received from Re and PWC was effectively used for promoting rhizome yield (Table 3). The next higher mean CWP was achieved with I₃ (2.72 kg m^-3) which was ascribed to the proportional increase in rhizome yield with a marginal deficit irrigation schedule (Gatabazi et al., 2019). Higher levels of deficit (I₂) and surplus (I₄) irrigation scheduling recorded lower CWP, ranging from 2.43 to 2.47 kg-m^-3, indicating that low and excess amounts of irrigation water are harmful for rhizome production. Regarding nutrient management, treatment N₂ accomplished the highest CWP (2.97 kg-m^-3) in comparison with N₁ and N₃. This was ascribed to the better supply of more and slow-releasing nutrients through the combined application of inorganic fertilizers and organic VC (Roy and Hore, 2007; Nair, 2019). The interaction effects reveal maximum CWP (3.17 kg-m^-3) in I₁N₂, immediately followed by I₃N₂ (3.16 kg-m^-3) and minimum (1.94 kg-m^-3) in I₄N₃. The remaining irrigation-nutrient treatment combinations showed intermediate CWP. The results also revealed that a marginal deficit irrigation schedule (I₃) coupled with nutrients through inorganic fertilizers and organic vermicompost at a 3:1 ratio in the prescribed RDF (N₂) was suitable for attaining a favourable soil water-nutrient environment around the crop root zone. This might have stimulated better plant growth and development (Dinesh et al., 2012) due to greater absorption of available water and nutrients that resulted in higher green rhizome yield.

Water-yield production function

The relationship between green rhizome yield (Y) and I and Y and ETa for the three growing seasons and their overall values was analysed through linear regression. Green rhizome yield (Y) was plotted against the independent variables I and ETa, to derive best-fit mathematical functions (Fig. 3). There were strong linear relationships between Y and I and between Y and ETa during the second and third seasons, as well as the overall 3-year data, with R² > 0.92. These relationships indicate that the yield increased linearly with a concomitant increase in seasonal irrigation and ETa, and the magnitudes differed variably in each experimental year. I has a greater contribution to yield maximization than the Re and PWC components of ETa. These predictive equations can serve as yield harnessing guidelines under variable irrigation water supply. These findings align with Yazar et al. (2009), who found a similar linear relationship between corn grain yield and seasonal irrigation water under Mediterranean climatic conditions in Southern Turkey. Bhowmik et al. (2020) also noticed a significant linear function between cowpea seed yield and irrigation water in the humid sub-tropical climate of India.

Crop yield response factor (Ky)

The mathematical relationship between (1 - ETa/ETm) and (1 - Ya/Ym) for the ginger plant is portrayed in Fig. 4. The average seasonal Ky value for the entire growing season was 0.77, with a high R² value of 0.92, which explained an average slope of 0.77% yield decline for every 1% reduction in seasonal ETa. Table 4 showed that high Ky was observed in I₂ followed by I₁, indicating the plant will incur a substantial yield decline if soil water deficit is not replenished at the correct times. According to Patra et al. (2022), if Ky < 1.0, the decrease in yield is proportionally lower with increasing soil water deficit. As the test crop is shallow-rooted and highly sensitive to soil water deficit, optimising the water regime in the root zone by adopting proper irrigation scheduling based on the IW/CPE ratio at all physiological stages of the ginger plant is thus imperative (Nwaogu, 2014).

 

 

Nutrient uptake of ginger

The pooled data of 3 cropping years for nutrient uptake showed that the ginger plant's N, P and K contents at harvest were significantly affected by imposed irrigation scheduling and nutrient management and their mutual combinations (Table 5). Mean maximum uptake of 134.36, 44.78 and 142.45 kg-ha^-1 for N, P and K, respectively, was obtained with I₄, which was significantly on par with that of I₃. Both treatments were superior to the remaining two irrigation treatments. On the other hand, mean minimum N, P and K uptake were noted for I₁. The results indicate that zero and mild soil water stress due to higher irrigation (I₄) and marginal deficit irrigation (I₃) recorded higher growth and yield contributing parameters on account of higher NPK uptake by plants, and, consequently, promoted green rhizome yield. The adequate moisture availability in the root zone across the growing period might have caused more solubilization and accessibility of nutrients in the soil, increased root mass growth and spread, caused higher absorption and transmission of nutrients from soil to leaves, a high photosynthetic rate and subsequent translocation of assimilates to different plant organs (Padbhushan and Kumar, 2014). Conversely, plants exposed to frequent and higher soil water stress and higher levels of deficit irrigation (I₂), had inhibited growth and yield constituents and rhizome yield as a result of low soil availability and absorption of nutrients by plants (Nybe and Raj, 2016). The increase in soil moisture tension due to reduced water application exerts an adverse physiological effect on root elongation, turgidity and number of root hairs, which might cause lower N, P and K uptake by the ginger plants and decreased rhizome yield (Arjun, 2009). The soil water-stress condition resulted in lower nutrient availability in soil, restricted root growth, low plant nutrient uptake, poor assimilate production and consequent migration from leaves to plant parts (Halder et al., 2022).

Likewise, the highest average uptake of 122.42, 42.18 and 145.23 kg-ha^-1 for N, P and K, respectively, was found with N₂ which was significantly superior to N₁ and N₃. The combined application of inorganic fertilizers and organic VC at a 3:1 ratio, where inorganic fertilizers release available nutrients more readily during initial growth stages, whereas VC releases both the macro- and micronutrients more slowly throughout the growing period, which together resulted in higher nutrient accumulation resulting into the highest growth and development of plants and maximum yield (Puli et al., 2017; Srinivasan et al., 2019). Besides, incorporation of well-decomposed organic manure in the form of VC in the RDF could improve the physicochemical and hydrophysical conditions of the soil, which influence the development and yield of the rhizome as a result of higher nutrient uptake (Yanthan et al., 2010). The addition of RDF alone might satisfy the nutritional demand of the plant during the early stages, but the plant then suffers nutrient insufficiency in later developmental stages, resulting in moderate nutrient uptake and moderate yield. These findings are similar to Arjun (2009) and Shaikh et al. (2010) who recorded maximum yield and uptake of N, P and K for ginger in India's semi-arid tropics by application of 75:50:50 NPK kg-ha^-1 + FYM at 25 t-ha^-1. In sandy loam soil under foothill agro-climatic conditions, maximum uptake of N was found with a treatment combination of 50% NPK + 50% pig manure. In contrast, maximum P and K uptake were recorded with 50% NPK + 50% FYM which was on par with 50% NPK+ 50% pig manure (Yanthan et al. 2010). The increased N uptake in N₂ could be attributed to the direct addition of nutrients in the soil through highly soluble inorganic fertilizers and slow and continual supply of the nutrients from the vermicompost coupled with reduced denitrification or leaching losses of N (Reddy and Reddy, 1998; Tilahun et al., 2013). The higher P uptake could be due to the release of organic acids from VC, altered soil pH towards neutrality, and boosted solubility and availability of P (Puli et al., 2017). The higher uptake of K by the plant due to the application of organic VC could be ascribed to the blocking effect of organic manure on the cation exchange surface of the clay particles, reducing K fixation (Smith, 2015).

The interaction effects showed that N₂ demonstrated relatively higher uptake of N, P and K at each irrigation treatment by the ginger plant, followed by N₁ and N₃. However, mean maximum uptake, of 143.77, 52.26 and 169.14 kg-ha^-1 for N, P and K, respectively, were found with I₄N₂. These results were statistically on par with those for I₃N₂. The greater nutrient uptake by plants at marginal deficit to higher irrigation scheduling, complemented by conjoint application of nutrients through 75% RDF as inorganic fertilizer and 25% RDF as organic manure, could be attributed to the better water and nutrient availabilities in soil, higher nutrient absorption by proliferated and extensive root mass growth, greater transport via xylem to leaves, higher photosynthetic rate and translocation of assimilates produced in leaves to plant parts on remobilization. The lowest N, P and K uptake was recorded in I₁N₃. The lower uptake of N, P and K in nutrient management treatments under the rainfed condition and higher deficit irrigation scheduling was probably due to frequent and continuous episodes of higher soil water stress. These resulted in a decline in nutrient availability in the soil, adverse physiological effects on root growth and elongation, lower photosynthetic rate, and stunted growth characteristics, which ultimately reduced the yield (Tayel and Sabreen, 2011; Arjun, 2009).

 

CONCLUSION

Studies to monitor the response of ginger to irrigation and nutrient management have not been seriously undertaken in the past. The present study suggests that irrigation at 0.9 IW/CPE accompanied by 75% RDF as inorganic fertilizers + 25% RDF as vermicompost was the best treatment combination for achieving higher ginger rhizome yield, quality parameters and maximum water productivity in the Indo-Gangetic Inceptisols. The study also revealed a high impact on the ginger rhizome yield owing to soil water stress and an imbalance of soil available nutrients.

Thus, well-managed irrigation and nutrient scheduling is the key to future promising ginger production, as well as marketability of the crop for better remuneration to its growers under sole cropping or even intercropping conditions.

 

ACKNOWLEDGEMENT

The authors are grateful to ICAR - Indian Institute of Water Management, Bhubaneswar, Odisha- 751023, India, for providing necessary funds and facilities during the research programme.

 

CONFLICT OF INTEREST

There exists no conflict of interest among the authors.

 

AUTHOR CONTRIBUTIONS

All authors contributed towards the final make-up of the paper. Expressing in terms of author initials, SKP obtained the fund, conceived the idea of the experiment as well as created the original draft; SS, RP and KB proofread, edited and compiled the final manuscript.

 

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Correspondence:
Sudip Sengupta
Email:sngpta.sudip1993@gmail.com

Received: 13 October 2021
Accepted: 7 October 2022

 

 

APPENDIX

 

Table A1 - Click to enlarge

 

 

Table A2 - Click to enlarge