Water stress indices for the sugarcane crop on different irrigated surfaces

Brunini, Rodrigo Garcia; Turco, José Eduardo Pitelli

doi:10.1590/1807-1929/agriambi.v20n10p925-929

Cited by 7 publications

(4 citation statements)

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%

“…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%

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Water stress index on sugarcane in different developmental phases

Brunini

Turco

2018

Ciênc. agrotec.

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Brazil is the world leader in the production of sugar and ethanol due to its intensive cultivation of the sugarcane crop, mainly in the Southeast region of the country. However, its expansion into other areas has gained strength in recent years and has caused significant variations in the harvest due to problems related to the climate of the region. The use of water stress indexes in the developmental phases of the crop can be an essential tool for irrigation control, preventing the negative effects of water stress on the plants. The aim of this study was to determine the ideal time to irrigate a sugarcane crop, using a water stress index found using infrared thermometry. The research was developed in an area called the "Experimental Hydrographic Basin" and employed surfaces with different slopes (0% to 40%) and solar exposures (North, South, East and West), under an induced water deficit. The analyses were performed in the field and in the laboratory. The results of this study indicate that the ideal time for irrigation differs for each phase of sugarcane development, in a range between 2.0 °C and 5.0 °C, and is more critical in the tillering phase. A surface maintained at field capacity had a lower water stress index and a higher productivity (124 Mg ha Index terms: Water and soil management; water deficit; infrared thermometry; irrigation, Saccharum officinarum L. RESUMOO Brasil é lider mundial na produção de açúcar e etanol, devido ao intenso cultivo da cultura de cana-de-açúcar principalmente na região Sudeste do país. No entanto sua expansão em outras áreas vem ganhando força nos últimos anos, o que tem acarretado variações significativas nas safras devido às limitações climáticas da região. O uso de índices de estresse hídrico nas fases de desenvolvimento da cultura pode atuar como uma ferramenta essencial no manejo da irrigação, prevenindo os efeitos negativos do estresse hídrico nas plantas. Objetivou-se com este trabalho determinar o momento ideal de irrigar a cultura de cana-de-açúcar, por meio de índices de estresse hídrico utilizando-se a termometria a infravermelho. A pesquisa foi desenvolvida em uma área denominada "Bacia Hidrográfica Experimental", utilizando superfícies com diferentes declividades (0% a 40%) e exposições solares (Norte, Sul, Leste e Oeste), sob déficit hídrico induzido. As análises foram realizadas in loco e em laboratório. Os resultados indicam que o momento de irrigar difere para cada fase de desenvolvimento da cana-de-açúcar, em uma faixa entre 2,0 °C até 5,0 °C, sendo crítica a fase de perfilhamento. A superfície mantida na capacidade de campo obteve menor índice de estresse hídrico e maior produtividade (124 Mg ha -1 ).Termos para indexação: Manejo de água e solo; déficit hídrico; termometria a infravermelho; irrigação; Saccharum officinarum L.

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Section: Resultssupporting

confidence: 81%

Section: Resultsmentioning

confidence: 99%

Water stress index on sugarcane in different developmental phases

Brunini

Turco

2018

Ciênc. agrotec.

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“…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%

Leaf Temperature and Transpiration of Pequi Trees With and Without Water Restriction

et al. 2019

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The answers to when and how much to irrigate orchards can be obtained based on the measurements of plants' transpiration and leaf temperature. This study aims to determine the leaf temperature and sap flow of the pequi tree (Caryocar brasiliense Camb.), both with and without water restriction. Further, the leaf temperature was measured by infrared thermometry and estimated transpiration using the Granier method, where the thermal dissipation probes are inserted into the plant stems. The experiment was conducted in a 120-plant orchard located in Goiânia-GO, Brazil, from which seven of the plants (3 irrigated and 4 non-irrigated; aged 6.6-7.4 years) were evaluated for eight months (October 2015 to May 2016). The soil was characterized as a dystrophic red latosol, and its water content was determined using the EC-5 capacitance sensors. The results denoted that the leaf temperature of the irrigated plants was lower than the median air temperature during summer and the transition period into the dry season, and the non-irrigated plants exhibited shortage of water availability during the dry season. In dryland conditions, the average transpiration was 24.09 L plant −1 day −1 and, when irrigated, became 42.29 L plant −1 day −1 .

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“…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%

The Water Sector Was Born and Raised with Big-Impact Water Data

Zimmermann

2023

ACS EST Water

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For thousands of years, data allowed societies to first understand the connection between water quality and public health and later to refine water and waste management strategies. In this commentary, we look at the past, present, and future of 'big-impact' data in the water sector, from ancient water systems to Paris' valorization of wastes, London's tribulations with cholera, and modern environmental standards for the protection of public and environmental health. We continue the journey of water data with emerging applications in understanding our water resources, including blue-green city planning, understanding water use trends in remote areas, water resource monitoring, and wastewater epidemiology. We conclude with a foray into the future of the water sector, where proactively managing water resources to ensure equitable and resilient water access can be informed by remote sensing, satellite-based monitoring, and machine learning. By understanding how water data revolutionized our societies in the past, we aim to inspire the use of big water data to open possibilities for managing urban and environmental water in our future.

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Water stress indices for the sugarcane crop on different irrigated surfaces

Cited by 7 publications

References 14 publications

Water stress index on sugarcane in different developmental phases

Water stress index on sugarcane in different developmental phases

Leaf Temperature and Transpiration of Pequi Trees With and Without Water Restriction

The Water Sector Was Born and Raised with Big-Impact Water Data

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