Plant based indicators for irrigation scheduling in young cherry trees

Livellara, Nieggiorba; Saavedra, Freddy; Salgado, Eduardo Gomes

doi:10.1016/j.agwat.2010.11.005

Cited by 41 publications

(27 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, during the second growing season, pomegranate trees had a lower capacity for tolerating water restrictions (Melgarejo, 2001;Bhantana and Lazarovitch et al, 2010). Similar results were found for olive and cherry trees (Martín-Vertedor et al, 2011;Livellara et al, 2011), but there were no effects of irrigation regimes on canopy volume in peach trees (Pérez-Pastor et al, 2014). This study showed that canopy growth was at a maximum when soil watering was equivalent to 100% or 130% of evapotranspiration (ETc).…”

Section: Effects Of Irrigation On Vegetative Growthsupporting

confidence: 70%

“…These results differed from the results for adult plants, where MDS was the most sensitive variable and the most useful for irrigation programming (Intrigliolo et al, 2011a;Galindo et al, 2013). However, in other studies conducted using young almond, lemon, olive and cherry trees, TGR was also sensitive to water availability (Moriana and Fereres, 2002;Nortes et al, 2005;Livellara et al, 2011). The higher sensitivity observed for TGR was associated with the fact that young plants characteristically have high growth rates, specifi c to their age, thus limiting the usefulness of MDS as a response variable (Moriana and Fereres, 2002).…”

Section: Soil Moisture Content (V/v) and Reference Evapotranspirationcontrasting

confidence: 55%

“…The data for calculating CV were collected at the end of the 2010-11 and 2011-12 growing seasons, and CV corresponded to canopy height and diameter (Equation 1). Additional data, TCG, MDS and TGR, were collected from day of year (DOY) 32 to DOY 60 at the end of the 2011-2012 growing season (Livellara et al, 2011;Bhantana and Lazarovitch, 2010 Canopy diameter at h/2 (m)…”

Section: Measurementsmentioning

confidence: 99%

See 2 more Smart Citations

RESPONSES OF YOUNG Punica granatum PLANTS UNDER FOUR DIFFERENT WATER REGIMES

et al. 2016

View full text Add to dashboard Cite

. We evaluated the effect of the four treatments on canopy volume (CV) during two growing seasons. For 28 days during the second growing season, we evaluated soil moisture content (θ), the soil-moisture depletion factor (p), trunk cumulative growth (TCG), trunk growth rate (TGR) and maximum daily trunk shrinkage (MDS). We found relationships between CV and TCG and between CV and TGR. There were no differences in MDS among the irrigation treatments. We observed significant water stress in plants in the 0.3 ETc treatment (p = 0.47). The highest growth was observed in plants in the 1.3 ETc treatment, which suggests that the crop coefficient (Kc) was underestimated.

show abstract

Section: Effects Of Irrigation On Vegetative Growthsupporting

confidence: 70%

Section: Soil Moisture Content (V/v) and Reference Evapotranspirationcontrasting

confidence: 55%

Section: Measurementsmentioning

confidence: 99%

See 1 more Smart Citation

RESPONSES OF YOUNG Punica granatum PLANTS UNDER FOUR DIFFERENT WATER REGIMES

et al. 2016

View full text Add to dashboard Cite

show abstract

“….) (Casadesús et al, 2012;Choné et al, 2001;Cifre et al, 2005;Jones, 1999;Livellara et al, 2011;Ortuño et al, 2010). Nevertheless, it still presents some difficulties in practical applications, mainly derived from the use of these sensors (or stress indicators), such as their high cost, data interpretation and the selection of the criteria to schedule irrigation.…”

Section: Irrigation Scheduling Based On Crop Water Conditionsmentioning

confidence: 99%

Software for the automatic control of irrigation using weighing-drainage lysimeters

Vera-Repullo

Ruíz-Peñalver

Jiménez-Buendía

et al. 2015

Agricultural Water Management

View full text Add to dashboard Cite

“…These methods adjust the amount of water supplied according to crop water requirements, the amount of water available in the channel and system components. In systems that use drip irrigation such information has not been considered, because the amount of water is controlled in a certain manner [8]. However, the frequency of irrigation drip systems still depends on climatic factors, soil type, and crop type, so that the control and close monitoring remains necessary in these systems [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy System of Irrigation Applied to the Growth of Habanero Pepper (Capsicum chinense Jacq.) under Protected Conditions in Yucatan, Mexico

Rocio

Gorricho

Gamboa

et al. 2015

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Agriculture is the largest user of water worldwide by using about 70 percent of total consumption. The world food production depends on the availability of water, considering factors such as demographic and climate change, so the use of efficient irrigation is necessary to apply the correct amount of water to crops. The traditional irrigation systems generally program their scheme based on measurements made at Class A evaporimeter pan. In this paper an irrigation scheme defined by an algorithm that automates the amount of water supplied is presented, it considers the consumption of habanero pepper crop, and a fuzzy system evaluates the necessary duration of irrigation. The climatic variables considered are temperature, relative humidity, and soil moisture. The algorithm was programmed in a microcontroller Atmel 328p included in Arduino platform, with the addition of a ZigBee wireless system that allows for monitoring through a PC. The climatic variables were inserted into the fuzzy system by sets of trapezoidal and triangular form and a Mamdani type inference mechanism in which the knowledge of an expert is registered through the fuzzy rules. The system was applied to a habanero pepper crop at Conkal Institute of Technology in Yucatan, Mexico.

show abstract

Plant based indicators for irrigation scheduling in young cherry trees

Cited by 41 publications

References 29 publications

RESPONSES OF YOUNG Punica granatum PLANTS UNDER FOUR DIFFERENT WATER REGIMES

RESPONSES OF YOUNG Punica granatum PLANTS UNDER FOUR DIFFERENT WATER REGIMES

Software for the automatic control of irrigation using weighing-drainage lysimeters

Fuzzy System of Irrigation Applied to the Growth of Habanero Pepper (Capsicum chinense Jacq.) under Protected Conditions in Yucatan, Mexico

Contact Info

Product

Resources

About