Growth, Yield and Water Productivity of Tomato as Influenced by Deficit Irrigation Water Management

Mukherjee, Sangeeta; Dash, P. K.; Das, Debesh; Das, Shimul

doi:10.1007/s40710-023-00624-z

Cited by 24 publications

(13 citation statements)

References 69 publications

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“…The AquaCrop model overestimate at the application of FI application and the performance value were poor at high deficit irrigation application. The study conforms to the work of [15,24,28,46], who suggests the AquaCrop performance decreases as the application of irrigation depth decreases. The performance of the AquaCrop varies crop to crop and cultivars.…”

Section: Statically Validation Performance Of Aquacropsupporting

confidence: 88%

“…The above results were due to the reason that AquaCrop clarifies the process of canopy cover decrease at crop senescence [25,26]. It also supported by Mukherjee et al [46] suggested that the level of plant water stress affected the model performance.…”

Section: Statically Validation Performance Of Aquacropmentioning

confidence: 59%

“…The maximum WP ET was also found from those irrigation levels from the application of I50V × 100R which had no difference with I75V × 100R, I75F × 100R, and I75R × 100R in the calibration and validation season. This shows that applying stage deficit irrigation improves the yield and water productivity than applying FI [8,24,42,43,44,45,46].…”

Section: Statically Validation Performance Of Aquacropmentioning

confidence: 86%

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Performance Evaluation of AquaCrop Model of Tomato under Stage Wise Deficit Drip Irrigation at Southern Ethiopia

Yersaw,

Ebstu,

Areru

et al. 2024

Advances in Agriculture

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Crop modeling is a powerful tool for predicting yield and water productivity. The aim of the study was to calibrate and validate the AquaCrop model for tomato under staged deficit drip irrigation in Ethiopia. The AquaCrop model was calibrated and validated by using the observed data of canopy cover, biomass, dry yield, and soil water content. The results showed that the model was accurate in predicting canopy cover, biomass, and dry yield under different water levels. The overall performance in simulating canopy cover of AquaCrop, biomass, and soil water content showed a good match between measured and simulated data. The calibration results indicated good performance on canopy cover with 0.96 ≤ r ≤ 1.00, 2.9% ≤ RMSE ≤ 8.0%, 7.5% ≤ CV (RMSE) ≤ 21.1%, 0.91 ≤ EF ≤ 0.99, and 0.98 ≤ d ≤ 1.00. On biomass, the model calibration values were 0.99 ≤ r ≤ 1.00, 0.3 t/ha ≤ RMSE ≤ 0.8 t/ha, 8.3% ≤ CV (RMSE) ≤ 25.2%, 0.92 ≤ EF ≤ 0.99, and 0.98 ≤ d ≤ 1.00. Soil water content displayed poor performance on calibration, with performance values of 0.54 ≤ r ≤ 0.82, 3.6 mm ≤ RMSE ≤ 24.4 mm, 1.30% ≤ CV (RMSE) ≤ 9.00%, −4.18 ≤ EF ≤ 0.00, and 0.66 ≤ d ≤ 0.81. The validation results demonstrated that the model performed well on canopy cover with 0.96 ≤ r ≤ 1.00, 3.1% ≤ RMSE ≤ 7.7%, 8.2% ≤ CV (RMSE) ≤ 20.8%, EF ≥ 0.91, and d ≥ 0.9. The model validation correctly predicted biomass with r ≥ 0.98, 0.3 t/ha ≤ RMSE ≤ 0.7 t/ha, 8.9% ≤ CV (RMSE) ≤ 21.8%, EF ≥ 0.94, and d ≥ 0.98. The model validation poorly performed in forecasting soil water content, 0.20 ≤ r ≤ 0.80, 10.2 t/ha ≤ RMSE ≤ 24.0 t/ha, 3.5% ≤ CV (RMSE) ≤ 9.0%, −22.76 ≤ EF ≤ 0.63, and 0.40 ≤ d ≤ 0.87. The AquaCrop model is easy to use, requires less input data, and has high simulation accuracy, making it a useful tool for predicting crop yields and water productivity under staged deficit irrigation in areas with limited data.

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Section: Statically Validation Performance Of Aquacropsupporting

confidence: 88%

Section: Statically Validation Performance Of Aquacropmentioning

confidence: 59%

Section: Statically Validation Performance Of Aquacropmentioning

confidence: 86%

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Performance Evaluation of AquaCrop Model of Tomato under Stage Wise Deficit Drip Irrigation at Southern Ethiopia

Yersaw,

Ebstu,

Areru

et al. 2024

Advances in Agriculture

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“…However, compared to the terrestrial herb diversity, the aquatic habitat demonstrated lower diversity, with Simpson Index values ranging from 0.45 to 0.63 and Shannon-Wiener Index values from 0.6 to 1.04. The presence of speci c species during certain seasons suggests the adaptability of the ecosystem to seasonal variations (Mukherjee et al, 2023). A noteworthy observation was a reduction in both species' diversity and the total number of species, in the aquatic habitats.…”

Section: )mentioning

confidence: 99%

Seasonal study on the Aquatic and Terrestrial Habitat of Edayar region, Ernakulam, Kerala, India

Syamlal,

Sayantan

2023

Preprint

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This study examines the plant diversity and physicochemical characteristics of both aquatic and terrestrial ecosystems in the industrialized region of Edayar, Kadungalloor, Ernakulam, Kerala, India. The research is conducted seasonally, encompassing the four seasons of Kerala: southwest monsoon, northeast monsoon, winter season, and summer season. Edayar is home to approximately 400 industries. The main objective of this study is to assess the plant diversity, with a specific focus on herb and macrophyte diversity, in the Edayar region, along with analyzing the physicochemical properties of soil and water. Random sampling using quadrat techniques is employed to collect data on species diversity. Diversity indices, such as the Simpson Index and Shannon-Wiener Index, are utilized to analyze the recorded species diversity. Scoparia dulcis L. among herb species and Eichhornia crassipes (Mart.) Solms among macrophytes were found dominating in all the seasons. The results for the physico-chemical analysis of water and soil were found approaching to the threshold of standard limits.The findings provide valuable insights into plant diversity and ecological dynamics of the Edayar region, which have been significantly impacted by industrial activities. The outcomes serve as a basis for the development and implementation of effective conservation and management strategies to mitigate potential ecological risks associated with industrial activities in the region.

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“…The effectiveness of water-saving techniques may vary depending on seasonal weather conditions, cultivation site, genotype, fertilization management, and the timing of deficit induction [17][18][19][20]. In Mediterranean and semi-arid environments, DI and RDI would save water resources and increase water productivity [21]. Studies have shown that the controlled reduction of irrigation volumes after the flowering phase of tomatoes improves fruit quality, although production may be reduced [17].…”

Section: Introductionmentioning

confidence: 99%

Regulated Deficit Irrigation to Boost Processing Tomato Sustainability and Fruit Quality

Burato,

Fusco,

Pentangelo

et al. 2024

Sustainability

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Improving water use efficiency is gaining relevance for the sustainability of agricultural practices. In semi-arid Mediterranean areas, recent studies highlighted that future climatic scenarios will be even more critical for crops, given the increase in water scarcity. In this context, the rationalization of irrigation water is necessary to sustain processing tomato (Solanum lycopersicum L.) yield and quality since this crop requires large volumes of water. The present research aimed to identify the effects of a regulated deficit irrigation (RDI) strategy on the environmental and economic sustainability and fruit technological and functional quality of the processing tomato crop in the Mediterranean area. A two-year, open-field experiment was carried out to compare full irrigation management (IRR, restoring 100% ETc) with an RDI strategy based on restoring 50% ETc when the first fruit cluster reached the typical size (BBCH 701 phenological stage, relative to Solanaceous fruits). Remarkable water saving (21.46%, average of the two years) was achieved under RDI without significant variations in total and marketable yield compared to the IRR regime. Consequently, improved economic water productivity (+23.17%) was observed, allowing enhanced processing tomato sustainability. The RDI strategy boosted the glucose content (+17.78%), soluble solids content (SSC, +10.17%), and dry matter of the fruits (+10.03 g%). Furthermore, a higher SSC-to-titratable acidity ratio (+15.47%) and a negative shift in fructose/glucose balance (−7.71%) were observed in RDI-treated plants. Higher levels of the drought stress markers proline (+38.99%) and total polyphenols (+20.58%) were detected in RDI- compared to IRR-irrigated tomato fruits. These findings suggested the RDI strategy as an effective and sustainable approach for increasing both water productivity and the fruit quality of the processing tomato crop under semi-arid Mediterranean climatic conditions.

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Growth, Yield and Water Productivity of Tomato as Influenced by Deficit Irrigation Water Management

Cited by 24 publications

References 69 publications

Performance Evaluation of AquaCrop Model of Tomato under Stage Wise Deficit Drip Irrigation at Southern Ethiopia

Performance Evaluation of AquaCrop Model of Tomato under Stage Wise Deficit Drip Irrigation at Southern Ethiopia

Seasonal study on the Aquatic and Terrestrial Habitat of Edayar region, Ernakulam, Kerala, India

Regulated Deficit Irrigation to Boost Processing Tomato Sustainability and Fruit Quality

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