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http://krishi.icar.gov.in/jspui/handle/123456789/48973
Title: | Automatic drip irrigation scheduling effects on yield and water productivity of banana |
Other Titles: | Not Available |
Authors: | P.PanigrahiS.RaychaudhuriA.K.ThakurA.K.NayakP.SahuS.K.Ambast |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR-Indian Institute of Water Management, Bhubaneswar (Odisha) |
Published/ Complete Date: | 2019-01-01 |
Project Code: | Not Available |
Keywords: | Automatic drip irrigation Water saving Banana Fruit yield Fruit quality |
Publisher: | Elsevier |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Water scarcity is one of the major factors affecting the productivity of banana. Drip irrigation (DI) has been found as a water saving technique in banana cultivation. Further, sensor-based automated DI which has been considered as a smart and real time water application technique might increase the water savings and enhance yield of banana. With this hypothesis, a field experiment was conducted to study the performance of automated DI in banana (cv. Grand Naine) at Bhubaneswar, India during 2016–2017. Five automated DI schedules: (i) soil water sensor-based irrigation (I1) and timer based irrigation (ii) at 1 h interval 3 times daily at 80% crop evapotranspiration (ETc) (I2), (iii) at 2 h interval 2 times daily at 80% ETc (I3), (iv) at 1 h interval 3 times daily at 60% ETc (I4) and (v) at 2 h interval 2 times daily at 60% ETc (I5) were compared with manually operated DI at 100% ETc (I6) in the crop. The highest vegetative growth of plants (plant height, canopy diameter, stem girth) was observed with manually operated DI. However, sensor-based DI produced 15% higher fruit yield with 20% water saving, resulting in 40% higher water productivity (yield per unit quantity of water) compared with manually operated DI (water used, 820 mm; yield, 60.5 t ha−1; water productivity, 6.2 kg m−3) in the crop. The fruit qualities (total soluble solids and acidity) of sensor-based irrigated plants were superior to manually irrigated plants. The volumetric soil water content under manual DI was marginally higher (11–15%) than that under sensor-based DI (21.2–24.8%). The soil available nutrients (N, P and K) and leaf nutrients content of the plants followed the similar trend of soil water content under different treatments. The yield forecasting based on leaf-N, leaf-K, leaf water content and radiation interception using ‘Principal component analysis’ performed well with reasonably accuracy (R2 = 0.82). Overall, these results reveal that soil water sensor-based automated DI is a productive and water saving technique which may be adopted in banana cultivation in eastern India and anywhere else with similar agro-climates of the study site. |
Description: | Journal article |
ISSN: | 0304-4238 |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Scientia Horticulturae |
Journal Type: | INTERNATIONAL |
NAAS Rating: | 8.77 |
Impact Factor: | 2.769 |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://doi.org/10.1016/j.scienta.2019.108677 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/48973 |
Appears in Collections: | NRM-IIWM-Publication |
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