Water productivity and profitability of hybrid rice as influenced by irrigation and nitrogen management under system of rice intensification

2020 ◽  
Vol 57 (6) ◽  
pp. 848-854
Author(s):  
Madane Ananda Jagannath ◽  
J K Singh ◽  
J S Bohra
2005 ◽  
Vol 52 (4) ◽  
pp. 399-408 ◽  
Author(s):  
M. Vijayakumar ◽  
S. D. Sundar Singh ◽  
N. K. Prabhakaran ◽  
T. M. Thiyagarajan

Field experiments were conducted during the wet and dry seasons of 2002 and 2003 at Tamil Nadu Agricultural University Farm, Coimbatore, India to study the effect of practices recommended in the system of rice intensification (SRI) on the yield attributes, yield and water productivity of rice (Oryza sativa L.). The experiments were laid out in a randomized block design with three replications. The treatments were i) using 21-day-old (conventional) or 14-day-old (dapog nursery) seedlings; ii) crop geometry at 15 × 10 cm, 20 × 20 cm or 25 × 25 cm; iii) irrigation at 5.0 cm depth (conventional) or 2.0 cm depth when hair-line cracks developed (SRI); iv) weed control (conventional and SRI weeding), and v) nitrogen management (recommended and LCC-based N application) during the wet season of 2002. During the second crop season (dry season, 2003), all the treatments were repeated except nitrogen management, since there was no response to LCC-based N in the wet season. The treatments were slightly modified based on the results of the wet season crop. The yield attributes (panicle length, number of panicles hill-1, total number of grains panicle-1) were significantly higher in the treatment involving 14-day-old seedlings + 25 × 25 cm spacing + water-saving irrigation + LCC-based N management + SRI weeding than in the other treatments during the wet season. During the dry season, greater values of panicle length, no. of panicles hill-1 and filled grains panicle-1 were recorded in the treatment combination involving 14-day-old seedlings + 25 × 25 cm spacing + water-saving irrigation + SRI weeding. The grain yield and water productivity were significantly increased when applying SRI weeding with 14-day-old dapog seedlings planted at 25 × 25 cm spacing to achieve yields of 7009 and 5655 kg ha-1, and 0.610 kg and 0.494 kg per m3 of water, respectively, in the wet and dry seasons.


Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 170
Author(s):  
Chusnul Arif ◽  
Satyanto Krido Saptomo ◽  
Budi Indra Setiawan ◽  
Muh Taufik ◽  
Willy Bayuardi Suwarno ◽  
...  

Evapotranspirative irrigation is a simple idea in a watering field based on the actual evapotranspiration rate, by operating an automatic floating valve in the inlet without electric power to manage water levels. The current study introduces a model of evapotranspirative irrigation and its application under different water levels. The objectives were (1) to evaluate the performances of evapotranspirative irrigation under various irrigation regimes, and to (2) to observe crop and water productivities of the system of rice intensification (SRI) as affected by different types of irrigation. The experiment was performed during one rice planting season, starting from July to November 2020, with three irrigation regimes, i.e., continuous flooded (CFI), moderate flooded (MFI) and water-saving irrigation (WSI). Good performance of the system was achieved; low root mean square error (RMSE) was indicated between observed water level and the set point in all irrigation regimes. Developing a better drainage system can improve the system. Among the regimes, the WSI regime was most effective in water use. It was able to increase water productivity by up to 14.5% while maintaining the crop yield. In addition, it has the highest water-use efficiency index. The index was 34% and 52% higher than those of the MFI and CFI regimes, respectively. Accordingly, the evapotranspirative irrigation was effective in controlling various water levels, and we recommend the system implemented at the field levels.


2015 ◽  
Vol 76 (15) ◽  
Author(s):  
Umar Mohammed ◽  
Aimrun Wayayok ◽  
Mohd Amin Mohd Soom ◽  
Khalina Abdan

Weed emergence is among the most important problems in system of rice intensification (SRI) due to extensive planting geometry of at least 25 × 25 cm and moist environment, thereby leading to water loss by means of evaporation from the broad space as a result of the extensive planting geometry, and transpiration by the weeds. This reduces the additional water saving which affect the potential of SRI water productivity.  It also reduces rice crop yields up to 70% if there is no weed control attempted. Nowadays, weed is being controlled by manual weeder which is labour demanding, while motorized weeders overcome the problem but still, it able to remove the weeds before rice canopy closure or 30 days after transplanting (DAT). This research was designed to evaluate the performance of UMAR-SRImat on soil moisture conservation and weed control. UMAR-SRImat was made using flaked rice straw and biodegradable adhesive. The design was laid out using randomized complete block design (RCBD) with three treatments [without soil cover (T1), SRImat (T2), UMAR-SRImat (T3)] and three replications. The analysis was conducted using analysis of variance (ANOVA). Volumetric moisture content (VMC) was determined at 18 and 25 DAT.  Weeds were observed and recorded to determine the weed dry weight and weed control efficiency at 20, 40 and 60 DAT. Plant height per hill was measured at 30 and 50 DAT, likewise, the number of tillers were counted at 30 and 50 DAT. The result of VMC showed that UMAR-SRImat significantly conserved water higher than the control treatment at 18 and 25 DAT of 3100.0a and 2680.0a m3/ha, respectively. The effectiveness of UMAR-SRImat mulched was 100% at 20 DAT 99.64% at 40 DAT and 97.99% at 60 DAT. This research revealed that UMAR-SRImat mulch could retain soil moisture and suppressed weeds up to 60 DAT.


2016 ◽  
Vol 65 ◽  
pp. 143-149 ◽  
Author(s):  
Woonji Park ◽  
Jiyeon Seo ◽  
Yonghun Choi ◽  
Gunyeob Kim ◽  
Dongkoun Yun ◽  
...  

2012 ◽  
Vol 115 ◽  
pp. 156-166 ◽  
Author(s):  
Timothy J. Krupnik ◽  
Jonne Rodenburg ◽  
Van Ryan Haden ◽  
Doudou Mbaye ◽  
Carol Shennan

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