Maximum daily trunk shrinkage and stem water potential reference equations for irrigation scheduling of lemon trees

Ortuño, M.F.; Brito, Juan José; García-Orellana, Y.; Conejero, Wenceslao; Torrecillas, A.

doi:10.1007/s00271-008-0126-z

Cited by 52 publications

(27 citation statements)

References 29 publications

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“…10%) the volume if the SI value is above the desired (preestablished) value or decreasing the volume if the SI is below the threshold. That is, if the SI value is to be raised to reach the threshold, the amount of water must be decreased the following week (Conejero et al, 2011b;García-Orellana et al, 2007;Ortuño et al, 2009;Pérez-Pastor et al, 2009b;Puerto et al, 2013;Velez et al, 2007).…”

Section: Introductionmentioning

confidence: 98%

Implementing deficit irrigation scheduling through plant water stress indicators in early nectarine trees

Rosa

Miguel

Gómez-Montiel³

et al. 2015

Agricultural Water Management

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Section: Introductionmentioning

confidence: 98%

Implementing deficit irrigation scheduling through plant water stress indicators in early nectarine trees

Rosa

Miguel

Gómez-Montiel³

et al. 2015

Agricultural Water Management

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“…Chen, Wang, Liu, & Wei, 2014; Rousseaux, Fig uerola, Correa‐Tedesco, & Searles, 2009; Shen, Gao, Fu, & Lü, 2015) and the parameters derived from daily trunk diameter fluctuations (TDF; e.g. Conesa et al., 2016; De la Rosa, Conesa, Domingo, Torres, & Pérez‐Pastor, 2013; Ortuño, Brito, García‐Orellana, Conejero, & Torrecillas, 2009) with different meteorological variables, especially VPD, R s and T air . Most studies have, however, been performed on fruit trees and only very few studies report these relationships for other trees.…”

Section: Introductionmentioning

confidence: 99%

Identifying the best plant water status indicator for bio‐energy poplar genotypes

2020

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This contribution provides better insights in the water relations and the physiological traits of four commercial poplar genotypes of different genetic background, 'Bakan', 'Oudenberg', 'Koster' and 'Grimminge'. The main continuous (nondestructive and providing continuous and automated data records) and discontinuous (destructive and not allowing automation) plant water status (PWS) indicators were monitored at a multigenotype, commercial-scale short-rotation coppice plantation in East-Flanders (Belgium), and their relationships with the principal environmental variables were assessed. All measurements were performed during the entire 2016 growing season on the third year of the third rotation in multistemmed trees. The discontinuous PWS indicators were measured on 10 separate days with a different evaporative demand and soil water content, while the continuous PWS indicators were recorded from April to November. The genotypes responded differently to environmental drivers and to soil conditions, based on the PWS indicators, featuring a different water behaviour in relation to the level of isohydricity. Poplar genotypes 'Koster' and 'Bakan' showed the typical water-conserving behaviour of isohydric species, while 'Grimminge' was more in line with the anisohydric ones. A principal component analysis showed that sap flow (F s ) was the most suitable PWS indicator. The F s and therefore the sap flow-based canopy transpiration (E c ) were tightly linked to the phenological stage of the trees as well as to vapour pressure deficit and photosynthetic photon flux density, based on relationships between E c and environmental variables. A quantitative predictive model was developed to estimate the crop water requirements for specific genotypes, by calculating transpiration per unit of ground area with a few environmental variables, monitored with easy-to-handle sensors.

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“…Estos resultados están en consonancia con observaciones previas en almendros y otras especies frutales (Intrigliolo y Castel, 2006;Moreno et al, 2006;Ortuño et al, 2009a). Según Cermák et al (2007) son los procesos de vaciado y llenado de los tejidos de almacenamiento de agua del árbol los causantes de los cambios diurnos en el volumen del tronco, los que ocurren incluso en plantas bien regadas (Zweifel et al, 2001).…”

Section: Discussionunclassified

“…Ortuño et al (2010) presentan una recopilación de numerosas líneas de referencias obtenidas para diferentes especies leñosas. Mientras que en cítricos, distintos estudios sugieren que la variable climática que mejor predice MCD es la temperatura media diaria (Ortuño et al, 2006b(Ortuño et al, , 2009a, en olivo es el DPV y la temperatura obtenidos a mediodía, es decir, cuando la demanda climática es más elevada (Moreno et al, 2006). Igualmente sucede con el almendro, en el que la mejor correlación se obtuvo entre MCD y el DPV medio de las horas centrales del día (Egea et al, 2009).…”

Section: Líneas De Referenciaunclassified

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Uso de indicadores del estado hídrico de la planta para la optimización del riego en cultivos leñosos

Rubio¹

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Maximum daily trunk shrinkage and stem water potential reference equations for irrigation scheduling of lemon trees

Cited by 52 publications

References 29 publications

Implementing deficit irrigation scheduling through plant water stress indicators in early nectarine trees

Implementing deficit irrigation scheduling through plant water stress indicators in early nectarine trees

Identifying the best plant water status indicator for bio‐energy poplar genotypes

Uso de indicadores del estado hídrico de la planta para la optimización del riego en cultivos leñosos

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