Different indices to characterize water use pattern of micro-sprinkler irrigated onion (Allium cepa L.)

Sarkar, S.; Goswami, S. B.; Mallick, Shekhar; Nanda, M. K.

doi:10.1016/j.agwat.2008.01.002

Cited by 37 publications

(16 citation statements)

References 19 publications

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“…Misra et al (2010) reported it to be 3700 kg ha −1 -374 mm for wheat in semi-arid climate in India. For maize, 10,223 kg ha −1 -591 mm was reported by Payero et al (2006) in West Central Nebraska, USA and 7536 kg ha −1 -433 mm by Sun et al (2007) Moreover, it has been confirmed that by comparing with the Y-ET relations under furrow irrigation in the same study or studies in the same research region, the micro irrigation systems (drip, sprinkler and spray) were able to save substantial amounts of water (Qiu et al, 2011;Sarkar et al, 2008).…”

Section: Comparison Of Crop Yield Water Use and Wuesupporting

confidence: 69%

Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China

Fan

Wang

Nan

2014

Agricultural Water Management

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Section: Comparison Of Crop Yield Water Use and Wuesupporting

confidence: 69%

Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China

Fan

Wang

Nan

2014

Agricultural Water Management

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“…In line with this result, Samson and Ketema (2007) reported that deficit irrigations increased the water use efficiency of onion. Similarly, Shock et al, (1998), Fabeiro et al (2001, Kebede (2003), Kirnak et al (2005) and Sarkar et al (2008) reported that irrigation water use efficiency was higher at lower levels of available soil moisture.…”

Section: Crop Water Use Efficiency (Cwue)mentioning

confidence: 91%

Response of onion (Allium cepa l.) to deficit irrigation under different furrow irrigation water management techniques in Raya Valley, Northern Ethiopia

Mebrahtu¹,

Woldemichael²,

Habtu³

2018

Afr. J. Plant Sci.

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Scarcity of water is the most severe constraint for development of agriculture in arid and semi-arid areas. Under this condition, the need to use the available water economically and efficiently is unquestionable. Based on the actual crop need, irrigation management has to be improved so that the water supply to the crop can be reduced while still achieving high yield. A field experiment was carried out at Mehoni Agricultural Research Center, Raya Valley of Ethiopia, during 2016/17 season with objectives of determining the effect of deficit irrigation on Onion yield component and crop water productivity and the effect of Conventional, Alternate and Fixed furrow irrigation on yield and crop water productivity of onion. The treatment were five deficit irrigation levels (40, 55, 70, 85 and 100% ETc), and three furrow irrigation techniques (conventional, alternate and fixed furrow) were laid out in a random complete block design (RCBD) with three replications. The highest bulb yield was obtained at 100% ETc with conventional furrow method. In terms of irrigation and water use efficiency, 40% ETc deficit irrigation level application gave the highest irrigation water use efficiency and crop water use efficiency which was significantly superior to all other treatment. Among the irrigation water application methods, the highest water use efficiency was obtained with alternate furrow application method. On the other hand, the minimum water use efficiency was recorded with conventional furrow method. Alternative furrow irrigation (AFI) gave the highest crop water use efficiency and irrigation water use efficiency whereas conventional furrow irrigation (CFI) recorded the lowest. Better crop water use efficiency and irrigation water use efficiency were obtained in the AFI and fixed furrow irrigation (FFI), while the applied water in AFI was reduced by 50% of the CFI. Therefore, it can be concluded that increased water saving and associated water productivity can be achieved without significant reduction of yield in AFI with 100% ETc of irrigation level. AFI system appears to be a promising alternative.

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“…The area was characterised by a flat topography and soils had good drainage, with little sign of water erosion. Onion seed (cultivar "Pandero") (Kumar et al 2007;Sarkar et al 2008;Enciso et al 2009, Jiménez et al 2010) was directly sown (27.7 plants m −2 ). Irrigation was scheduled using a simplified water balance method within the root area, following the Food and Agriculture Organization methodology (Pereira and Allen 1999).…”

Section: Methodsmentioning

confidence: 99%

A non-destructive method for estimating onion leaf area

Córcoles¹,

Domı́nguez²,

Moreno³

et al. 2015

Irish Journal of Agricultural and Food Research

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Leaf area is one of the most important parameters for characterizing crop growth and development, and its measurement is useful for examining the effects of agronomic management on crop production. It is related to interception of radiation, photosynthesis, biomass accumulation, transpiration and gas exchange in crop canopies. Several direct and indirect methods have been developed for determining leaf area. The aim of this study is to develop an indirect method, based on the use of a mathematical model, to compute leaf area in an onion crop using non-destructive measurements with the condition that the model must be practical and useful as a Decision Support System tool to improve crop management. were used and the leaf area for individual leaves was computed using two indirect methods, one based on the use of an automated infrared imaging system, LI-COR-3100C, and the other using a digital scanner EPSON GT-8000, obtaining several images that were processed using Image J v 1.43 software. A total of 1146 leaves were used. Before measuring the leaf area, 25 parameters related to leaf length and width were determined for each leaf. The combined application of principal components analysis and cluster analysis for grouping leaf parameters was used to reduce the number of variables from 25 to 12. The parameter derived from the product of the total leaf length (L) and the leaf diameter at a distance of 25% of the total leaf length (A25) gave the best results for estimating leaf area using a simple linear regression model. The model obtained was useful for computing leaf area using a non-destructive method. Keywords leaf area • onion • non-destructive method • mathematical model.

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Different indices to characterize water use pattern of micro-sprinkler irrigated onion (Allium cepa L.)

Cited by 37 publications

References 19 publications

Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China

Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China

Response of onion (Allium cepa l.) to deficit irrigation under different furrow irrigation water management techniques in Raya Valley, Northern Ethiopia

A non-destructive method for estimating onion leaf area

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