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SOIL & CROP SCIENCES

Evaluation of irrigation scheduling to maximize tomato production using comparative assessment of soil moisture and evapotranspiration in restricted irrigated regions

, , ORCID Icon & ORCID Icon
Article: 2214428 | Received 12 Mar 2023, Accepted 11 May 2023, Published online: 21 May 2023

Figures & data

Figure 1. Location map of the study area.

Figure 1. Location map of the study area.

Figure 2. Climate data of the study area.

Figure 2. Climate data of the study area.

Figure 3. Layout of experimental field.

Note: T1, T2, T3, T4, T5 and T6 = Total treatments, T1, T2 and T3 = SM-based represented for 100%, 75% and 50% of requirement and T4, T5 and T6 = ET-based represented for 100%, 75% and 50% of requirement. R represents rows (Replications).
Figure 3. Layout of experimental field.

Figure 4. Soil infiltration test carried out in the field.

Figure 4. Soil infiltration test carried out in the field.

Figure 5. Infiltration test graph.

Figure 5. Infiltration test graph.

Table 1. Treatments and levels of application

Figure 6. RBC flume and b) discharge measurement.

Figure 6. RBC flume and b) discharge measurement.

Figure 7. The relationship between RBC flume discharge (l/sec) and head (mm).

Figure 7. The relationship between RBC flume discharge (l/sec) and head (mm).

Table 2. Soil properties of the area

Table 3. Irrigation schedules

Figure 8. SM variations in scheduling methods.

Figure 8. SM variations in scheduling methods.

Figure 9. Net irrigation comparison for scheduling method.

Figure 9. Net irrigation comparison for scheduling method.

Table 4. Net requirement of irrigation water

Table 5. ANOVA for effects of irrigation scheduling methods on WUE

Table 6. ANOVA for the effect of irrigation scheduling methods on yield performance