Abstract
Cassava (Manihot esculenta Crantz) yield could be improved by drip irrigation if irrigation scheduling is correctly organized. Soil moisture content is an important factor for controlling irrigation. It can be directly monitored by soil moisture sensors or predicted by soil water balance (SWB) models. Field experiments were conducted to investigate cassava production under drip irrigation and to determine the relationship between soil moisture content predicted from SWB models and actual measurements from soil moisture sensors. Treatments were carried out in a randomized complete block design with four replications including: T1: rainfed; T2: drip irrigation controlled by soil moisture sensors; T3: drip irrigation controlled by a SWB model. The results showed that cassava yield and water use efficiency in irrigated treatments were higher than in rainfed treatments but there were no significant differences between T2 and T3. The predicted soil moisture content (SMCp) was slightly higher than the measured soil moisture content (SMCm). The difference between SMCp and SMCm was consistently the same throughout the measuring period. The overall results confirmed that the SWB model can be accurately used to predict soil moisture content. Drip irrigation controlled by the SWB model achieved a high cassava yield and WUE values similar to those produced using drip irrigation controlled by a soil moisture sensor.
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Claims 6
Claim · model-written summary
Irrigation increased cassava yield relative to rainfed treatment.
- Taxon
- cassava
Manihot esculentae0 - Treatment
- irrigated treatmentse0
- Outcome
- cassava yielde0
- Direction
- highere0
- Comparator
- rainfed treatmentse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“cassava yield and water use efficiency in irrigated treatments were higher than in rainfed treatments”
Claim · model-written summary
Irrigation increased cassava water use efficiency relative to rainfed treatment.
- Taxon
- cassavaManihot esculentae0
- Treatment
- irrigated treatmentse0
- Outcome
- water use efficiencye0
- Direction
- highere0
- Comparator
- rainfed treatmentse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“cassava yield and water use efficiency in irrigated treatments were higher than in rainfed treatments”
Claim · model-written summary
Sensor and water balance scheduling did not differ significantly in yield and water use efficiency.
- Taxon
- cassavaManihot esculentat0
- Treatment
- T2e0
- Outcome
- no significant differencese0
- Direction
- no significant differencese0
- Comparator
- T3e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“there were no significant differences between T2 and T3”
t0“cassava”
Claim · model-written summary
Predicted soil moisture was slightly higher than measured moisture.
- Taxon
- cassavaManihot esculentat0
- Outcome
- predicted soil moisture contente0
- Direction
- slightly highere0
- Comparator
- measured soil moisture contente0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The predicted soil moisture content (SMCp) was slightly higher than the measured soil moisture content (SMCm).”
t0“cassava”
Claim · model-written summary
The difference between predicted and measured soil moisture remained consistent during measurement.
- Taxon
- cassavaManihot esculentat0
- Outcome
- difference between SMCp and SMCme0
- Direction
- consistently the samee0
- Comparator
- SMCme0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The difference between SMCp and SMCm was consistently the same throughout the measuring period.”
t0“cassava”
Claim · model-written summary
The soil water balance model accurately predicted soil moisture.
- Taxon
- cassavaManihot esculentat0
- Outcome
- predict soil moisture contente0
- Qualifier
- accuratelye0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the SWB model can be accurately used to predict soil moisture content”
t0“cassava”
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