2016
DOI: 10.1590/1807-1929/agriambi.v20n10p925-929
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Water stress indices for the sugarcane crop on different irrigated surfaces

Abstract: A B S T R A C TSugarcane (Saccharum officinarum L.) is a crop of vital importance to Brazil, in the production of sugar and ethanol, power generation and raw materials for various purposes. Strategic information such as topography and canopy temperature can provide management technologies accessible to farmers. The objective of this study was to determine water stress indices for sugarcane in irrigated areas, with different exposures and slopes. The daily water stress index of the plants and the water potentia… Show more

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Cited by 7 publications
(4 citation statements)
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References 14 publications
(19 reference statements)
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“…Da Costa Santos et al (2016) discussed the productive potential of sugarcane under dry farming, which is vulnerable to periods of water stress. According to these authors, the negative effect of water limitation causes severe damage of greater than 50% in crop productivity, which agrees with the observed values for the 20N and 20W treatments (59.0 and 60 Mg ha -1 ) ( The difference between the productivity values of the treatments under an induced water deficit can be explained by environmental variables such as land topography and sun exposure, which influence the capture of solar radiation, evapotranspiration and soil moisture Turco, 2016).…”
Section: Resultssupporting
confidence: 81%
See 1 more Smart Citation
“…Da Costa Santos et al (2016) discussed the productive potential of sugarcane under dry farming, which is vulnerable to periods of water stress. According to these authors, the negative effect of water limitation causes severe damage of greater than 50% in crop productivity, which agrees with the observed values for the 20N and 20W treatments (59.0 and 60 Mg ha -1 ) ( The difference between the productivity values of the treatments under an induced water deficit can be explained by environmental variables such as land topography and sun exposure, which influence the capture of solar radiation, evapotranspiration and soil moisture Turco, 2016).…”
Section: Resultssupporting
confidence: 81%
“…Studies evaluating the leaf temperature were carried out by Trentin et al (2011), Vieira et al (2014 and Brunini and Turco (2016) in a sugarcane crop and demonstrated that the treatments with a water regime in the field capacity registered canopy temperatures close to ambient temperature, indicating a lower water stress index, while in the other treatments where a water deficiency and high solar radiation were present, the canopy temperatures were higher than the air temperature, with differences close to 6.0 °C. In agreement with the maximum and average values of the recorded water stress index for the treatments under induced water deficit in the tillering phase ( Figures 2A, B, C and D and Table 3).…”
Section: Resultsmentioning
confidence: 99%
“…Although the usage of leaf temperature as an indicator of water stress is a widespread practice (Trentin et al, 2011;Giorio et al, 2012;Khatun et al;Brunini & Turco, 2016), the gradient value based on which physiological changes occur in a plant has been rarely discussed because this information is directly dependent on the sensitivity of the plant to water deficit. Water loss by leaves occurs through water pore diffusion via stomata pores.…”
Section: Resultsmentioning
confidence: 99%
“…Beginning again with agriculture, infrared/red ratio data from a Landsat radiometer were used to predict water content in sugar cane crops, while remote sensing data could also identify crops by age, variety, and health and even predict their yield. 68 Understanding that water stress data can inform crop irrigation, 65,69 Berni and colleagues in 2009 used thermal and multispectral cameras to predict water stress in wheat, cotton, and corn fields. 70 Machine learning can also predict algal blooms that may lead to microcystin-LR (MCLR) contamination of drinking water sources.…”
Section: Where We're Going: Proactive Water Management With Machine L...mentioning
confidence: 99%