Optimizing irrigation water levels to improve yield and water use efficiency of vegetables: case study of tomato

Welde, Kidane; Gebremariam, Hintsa Libsekal; Kahsay, Kiflom Degif

doi:10.1007/s40899-018-0250-8

Cited by 5 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results obtained in this paper in terms of IWUE are in line with literature values. In fact, for example [61] found that for tomatoes, the IWUE ranges from 0.357 to 0.876 kg/m 3 for the different irrigation water levels, with IWUE increasing with irrigation volume. They also reported a saving up to 35% of tomato irrigation volume without significant reduction in fruit yield.…”

Section: Discussionmentioning

confidence: 99%

Optimizing Irrigation Water Use Efficiency for Tomato and Maize Fields across Italy Combining Remote Sensing Data and the AquaCrop Model

2021

View full text Add to dashboard Cite

Remote sensing data of canopy cover and leaf area index are used together with the AquaCrop model to optimize irrigation water use efficiency for tomato and maize fields across Italy, which differ in climate, soil types and irrigation technique. An optimization irrigation strategy, “SIM strategy”, is developed based on crop stress thresholds and then applied to all the analyzed fields in different crop seasons, evaluating the effect not only on irrigation volume and number of irrigations but also on crop yield and canopy cover, and on the drainage flux which represents the main water loss. Irrigation volume reduction is found to be between 200 and 1000 mm, mainly depending on the different soil types within the climate, irrigation technique and crop type. This is directly related to the drainage flux reduction which is of a similar entity. The SIM strategy efficiency has then been quantified by different indicators, such as the irrigation water use efficiency (IWUE) which is higher than with the observed irrigations (around 35 % for tomato fields in Southern Italy, between 30 and 80% for maize in Northern Italy), and the percolation deficit and irrigation efficiency. The AquaCrop model has been previously calibrated against canopy cover and leaf area index (LAI) data, producing errors between 0.7 and 5%, while absolute mean errors (MAE) between 0.015 and 0.04 are obtained for soil moisture (SM). The validation of the AquaCrop model has been performed against evapotranspiration (ET) ground-measured data and crop yields producing MAE values ranging from 0.3 to 0.9 mm/day, and 0.9 ton/ha for maize and 10 ton/ha for tomatoes, respectively.

show abstract

Section: Discussionmentioning

confidence: 99%

Optimizing Irrigation Water Use Efficiency for Tomato and Maize Fields across Italy Combining Remote Sensing Data and the AquaCrop Model

2021

View full text Add to dashboard Cite

show abstract

“…Other authors also reported that marketable yield of tomatoes was significantly affected by the amount of irrigation water applied 60 , 70 – 72 . Irrigation water application increased tomato yield by providing optimal moisture and nutrient availability for the plant growth and fruit development 73 (Figs. 4 , 5 ).…”

Section: Resultsmentioning

confidence: 99%

“…This suggests that optimizing both irrigation and N rates can improve WUE. This mainly because different regimes can have different impacts on the soil moisture, nutrient availability, plant growth, and fruit quality of tomatoes 73 . Improving the water use efficiency of tomatoes is important for several reasons.…”

Section: Resultsmentioning

confidence: 99%

Tomato yield, and water use efficiency as affected by nitrogen rate and irrigation regime in the central low lands of Ethiopia

Shewangizaw,

Kassie,

Assefa

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Tomato yield can be increased by the application of optimum water and fertilizer. A field experiment was conducted in Efratana Gidim district, North Shewa, Amhara, Ethiopia, during 2019 and 2020. The objective was to determine the nitrogen (N) rate and irrigation regime for optimum tomato yield and water use efficiency (WUE). The experiment consisted of three-irrigation regimes (75% ETc (Evapotranspiration from the crop), 100% ETc, and 125% ETc) and four nitrogen (N) rates (control; i.e. without N application1, 46 kg N ha−1, 92 kg N ha−1, and 138 kg N ha−1). The treatments were laid out in a split-plot design with four replications. The Irrigation regime were assigned to the main plot, while the N rate were assigned to the subplot. Data on growth, yield, and yield-related traits of tomatoes, include; plant height, number of fruit clusters per plant, fruit length, fruit diameter, number of marketable fruits, number of un-marketable fruits, the total number of fruits, marketable fruit yield, un-marketable fruit yield, total yield were collected. The data were subjected to analysis of variance using R studio. The results indicated that the experimental site had low total N content, and the application of N fertilizer significantly improved tomato yield. Increasing irrigation depth also significantly increased tomato yield. The result indicated that the highest mean marketable fruit yield (35,903 kg ha−1) was obtained from the combined application of 125% ETc with 92 kg N ha−1, while the lowest (13,655 kg ha−1) marketable fruit yield was obtained from 75% ETc with 92 kg N ha−1. The analysis of variance showed that the highest (5.4 kg m−3) WUE recorded from 75% ETc with 46 kg N ha−1 increased WUE by 77% (2.4 kg m−3) compared with the lowest (2.3 kg m−3) WUE recorded from 125% ETc with 0 kg N ha−1. The partial budget analysis also indicated that the highest net benefit (266,272 ETB (Ethiopian Birr) ha−1) and an acceptable marginal rate of return (1240%) for the invested capital was recorded from the combined application of 125% ETc with 92 kg N ha−1. Therefore, the application of 125% ETc with 92 kg N ha−1 resulted in the highest net benefit.

show abstract

“…Adicionalmente se asegura el correcto desarrollo del cultivo [2].La programación del riego se basa principalmente en la determinación de las necesidades hídricas de los cultivos, el conocimiento del estado hídrico de las plantas y la determinación del agua del suelo disponible para el cultivo. El nivel de agua en suelo se puede medir mediante el uso de sensores de humedad instalados de forma apropiada en zonas representativas del cultivo permitiendo observar y estimar la distribución de la humedad y determinar si el riego es excesivo o deficitario [3].…”

unclassified

Determinación del consumo de agua en lechuga (Lactuca Sativa L CV Neruda) mediante lisimetría de pesada compacta y sondas de humedad

López¹,

Méndez²,

Oates³

et al. 2019

Congreso Ibérico De Agroingeniería

View full text Add to dashboard Cite

Resumen: Se desarrollaron los ensayos en una parcela experimental de la Escuela Politécnica Superior de Orihuela (EPSO) de la Universidad Miguel Hernández de Elche (UMH). En la citada parcela se instaló un sistema de riego localizado con cuatro sectores para aplicar cuatro tratamientos diferenciales de fertilización. Se escogió como cultivo de control la lechuga (Lactuca Sativa L Neruda). Se evaluaron las estrategias culturales más adecuadas en el manejo del cultivo en la parcela experimental a partir de los datos periódicos proporcionados por una estación meteorológica próxima y los datos de sensores de humedad del suelo. En uno de los tratamientos se hizo el seguimiento del riego mediante la instalación de un lisímetro de pesada compacto enterrado. La metodología utilizada para la medida simultánea del balance hídrico se ha contrastado y es válida. Es necesario contrastar con más campañas.Palabras clave: sostenibilidad, ahorro de agua, sensores de bajo coste, programación de riego, horticultura IntroducciónEl uso eficiente del agua de riego disponible es fundamental para conseguir la mejora de la gestión de los recursos hídricos en agricultura [1]. El conocimiento del consumo de agua por los cultivos y el manejo adecuado del riego son factores determinantes. El agua aplicada en exceso o en momentos inadecuados puede provocar efectos no deseados. Un manejo eficiente del agua empleada en riego se fundamenta en la elección del sistema de riego adecuado, la modernización de los regadíos, el ajuste de la dosis de riego a las necesidades reales del cultivo en cada momento y evitar las pérdidas de agua por escorrentía e infiltración fuera del alcance de las raíces. Las mejoras en las técnicas de programación de riego no sólo producen un ahorro del agua, sino que también reduce el riesgo del lavado de nutrientes y minimiza el impacto de la agricultura en las aguas subterráneas. Adicionalmente se asegura el correcto desarrollo del cultivo [2].La programación del riego se basa principalmente en la determinación de las necesidades hídricas de los cultivos, el conocimiento del estado hídrico de las plantas y la determinación del agua del suelo disponible para el cultivo. El nivel de agua en suelo se puede medir mediante el uso de sensores de humedad instalados de forma apropiada en zonas representativas del cultivo permitiendo observar y estimar la distribución de la humedad y determinar si el riego es excesivo o deficitario [3].

show abstract

Optimizing irrigation water levels to improve yield and water use efficiency of vegetables: case study of tomato

Cited by 5 publications

References 15 publications

Optimizing Irrigation Water Use Efficiency for Tomato and Maize Fields across Italy Combining Remote Sensing Data and the AquaCrop Model

Optimizing Irrigation Water Use Efficiency for Tomato and Maize Fields across Italy Combining Remote Sensing Data and the AquaCrop Model

Tomato yield, and water use efficiency as affected by nitrogen rate and irrigation regime in the central low lands of Ethiopia

Determinación del consumo de agua en lechuga (Lactuca Sativa L CV Neruda) mediante lisimetría de pesada compacta y sondas de humedad

Contact Info

Product

Resources

About