+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Infrared thermometery and xylem water potential as an index for the assessment of water stress and scheduling of irrigation in rice

Infrared thermometery and xylem water potential as an index for the assessment of water stress and scheduling of irrigation in rice

Indian Journal of Agricultural Research 32(1): 11-16

Irrigation experiment for two years on wet land rice (Oryza sativa L.) under deep water table conditions showed that intermittent submergence two days after disappearance of ponded water from the soil surface produced grain yields similar to continuous submergence. This shows that plant water deficit in I2 (7.5 cm submergence, two days after drying) were critical and soil induced PSIL and Tc-Ta in I2 could be considered as an index for scheduling of irrigation in rice for optimum yield. The values of PSISMW and (Tc-Ta) SMW in I2 during the growth period fluctuated between 0 and 1.0 bar and 0 to 0.5degreeC respectively. Thus, rice crop should be irrigated when PSISMW <1.0 bar and (Tc-Ta) SMW >0.5degreeC in a sandy loam soil under deep water table condition without significant reduction in grain yield from the continuous submergence.

Please choose payment method:

(PDF emailed within 1 workday: $29.90)

Accession: 010845696

Download citation: RISBibTeXText

Related references

Use of infrared thermometry and the Crop Water Stress Index (CWSI) for irrigation scheduling in soyabeans (Glycine max L. Merr.). Rivista di Agronomia 27(4): 282-289, 1993

Infrared thermometery for irrigation scheduling of corn. 17th ICID European Regional Conference on Irrigation and Drainage, Varna, Bulgaria, 16-22 May, 1994 Volume 1: yield response to water as affected by irrigation schedule: 191-201, 1994

Determination of Crop Water Stress Index (CWSI) and irrigation scheduling using infrared thermometer values on the first maize grown in Cukurova. Turkish Journal of Agriculture and Forestry 23(1): 87-95, 1999

Development of crop water stress index of wheat crop for scheduling irrigation using infrared thermometry. Agricultural Water Management 95(10): 0-1152, 2008

Use of crop water stress index for monitoring water status and scheduling irrigation in wheat. Agricultural Water Management 47(1): 69-75, 2001

Midday stem water potential as a plant water stress indicator for irrigation scheduling in fruit trees. Acta Horticulturae ( 537 (Vol.1)): 447-454, 2000

Scheduling peach orchard irrigation in water stress conditions: use of relative transpiration and predawn leaf water potential. Fruits 68(2): 147-158, 2013

Irrigation scheduling using the crop water stress index in Arizona. Visions of the future Proceedings of the 3rd National Irrigation Symposium ASAE Pub 4-90: 281-286, 1990

Irrigation scheduling of peach - deficit irrigation at different phenological stages and water stress assessment. Acta Horticulturae (713): 339-349, 2006

Evaluation of a crop water stress index for irrigation scheduling of bermudagrass. Agricultural Water Management 90(3): 205-212, 2007

Irrigation scheduling for watermelon with crop water stress index (CWSI). Journal of Central European Agriculture 6(4): 449-460, 2005

Thermal infrared techniques for assessing plant water stress Efficient scheduling of irrigation. Irrigation scheduling for water and energy conservation in the 80's: the proceedings of the Irrigation Scheduling Conference December 14-15-1981 The Palmer House Chicago Illinois, 1981

Assessing crop water stress and irrigation scheduling in cotton using the infrared thermometry technique. Turkish Journal of Agriculture and Forestry 23(1): 31-37, 1999

Use of a crop water stress index for scheduling the irrigation of sunflower (Helianthus annuus L.). Turkish Journal of Agriculture and Forestry 30(1): 11-20, 2006

Scheduling Maize Irrigation Based on Crop Water Stress Index (Cwsi). Applied Ecology and Environmental Research 16(6): 7535-7549, 2018