Revised FAO Procedures for Calculating Evapotranspiration: Irrigation and Drainage Paper No. 56 with Testing in Idaho

Allen, Richard G.; Smith, Mark; Pereira, L. S.; Raes, Dirk; Wright, James L.

doi:10.1061/40499(2000)125

Cited by 1,912 publications

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“…1. Reference evapotranspiration (ETo) was calculated through the Penman-Monteith method (Allen et al, 2006). The climatic data were obtained from an automatic weather station installed in the experimental area.…”

Section: Methodsmentioning

confidence: 99%

Agronomic aspects of soybean plants subjected to deficit irrigation

Nunes

Bezerra

Silva

et al. 2016

Rev. bras. eng. agríc. ambient.

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This study aimed to evaluate the behavior of soybean plants subjected to irrigation management with controlled water deficits in different phenological stages. The research was conducted in an experimental area of the Federal University of Tocantins (UFT), in Palmas-TO, Brazil. The experimental design was randomized blocks with four replicates, and treatments arranged in a split-plot scheme. The plots consisted of irrigation levels that induced plants to water deficit in the vegetative stage, reproductive stage and throughout the entire cycle, based on potential crop evapotranspiration (ETpc). The subplots corresponded to two soybean cultivars (M9144RR and TMG1288RR). The following agronomic variables were evaluated: days until flowering, days until maturation, plant height, first pod height, number of pods per plant, stem diameter, leaf area and yield. Irrigation management with moderate water deficit, 50% of ETpc, in the vegetative stage, promoted the best agronomic characteristics and contributed to increase the yield of the evaluated soybean cultivars, especially M9144RR.

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Section: Methodsmentioning

confidence: 99%

Agronomic aspects of soybean plants subjected to deficit irrigation

Nunes

Bezerra

Silva

et al. 2016

Rev. bras. eng. agríc. ambient.

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“…The experimental trees were trained as a palmette at distances 5 × 4 m apart. Irrigation was performed by means of microsprinklers and its frequency was determined by the data of the local meteorological station and by using the FAO 56 Pennman-Monteith method (Allen et al, 1998).…”

Section: Methodsmentioning

confidence: 99%

Response of a clingstone peach cultivar to regulated deficit irrigation

Sotiropoulos

Kalfountzos

Aleksiou

et al. 2010

Sci. agric. (Piracicaba, Braz.)

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Regulated deficit irrigation (RDI) involves inducing water stress during specific fruit growth phases by irrigating at less than full evapotranspiration. The objectives of this research were to study the effects of RDI perfomed at stage II of fruit growth and postharvest, on productivity of clingstone peaches, fruit quality as well as photosynthetic rate and midday leaf water potential. The research was conducted in a commercial clingstone peach (Prunus persica L. Batch cv. A-37) orchard in Greece. Trees were irrigated by means of microsprinklers and their frequency was determined using local meteorological station data and the FAO 56 Pennman-Monteith method. Photosynthetic rate was measured by a portable infrared gas analyzer. Midday leaf water potential was measured by the pressure chamber technique. During the years 2005 and 2006, the treatment RDII with irrigation applied at growth stage II of the peach tree did not affect productivity, fresh and dry mass of fruits. RDII reduced preharvest fruit drop in comparison to the control. RDII as well as the combined treatment RDII plus RDIP with irrigation applied at postharvest, at both years reduced shoot length of the vigorous shoots inside the canopy. RDII in comparison to the control increased the soluble solids content of the fruits and the ratio soluble solids/acidity. However it did not affect fruit acidity and fruit firmness. RDII as well as RDII plus RDIP in 2006 increased 'double' fruits and fruits with open cavity in comparison to the control and RDIP. Water savings were considerable and associated with the climatic conditions of each year. Key words: fruit drop, leaf water potential, photosynthetic rate, water savings Resposta de um cultivar de pêssego com caroço aderente à irrigação por défice regulado RESUMO: A irrigação por défice regulado (RDI) envolve a indução de défice de água durante fases específicas do crescimento das frutas, irrigando a taxas menores que a evapotranspiração. Os objetivos desse estudo foram verificar os efeitos da RDI no estágio II do crescimento das frutas e no periodo pós-colheita, avaliando a produtividade de pêssegos, a qualidade dos frutos, bem como a taxa fotossintética e o potencial da água na folha. A pesquisa foi desenvolvida em um pomar comercial de pêssegos com caroço aderente (Prunus persica L. Batch cv. A-37) da Grécia. As árvores foram irrigadas por meio de microaspersores e sua frequência foi determinada por meio de dados meteorológicos obtidos em estação automática e o método FAO 56 Pennman-Monteith para determinação de evepotranspiração. A taxa de fotossíntese foi medida por analisador de gás na faixa do infravermelho. O potencial da água na folha foi medido ao meio-dia usando a técnica da câmara de pressão.

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“…The calculation of evapotranspiration with a modifi ed Priestley-Taylor equation is fully described in Ritchie (1998). An algorithm for computing Penman-Monteith evapotranspiration (Allen et al, 1998) might be used for locations for which input data are available.…”

Section: Soil Componentsmentioning

confidence: 99%

Process-based simple model for simulating sugarcane growth and production

Marin

Jones

2014

Sci. agric. (Piracicaba, Braz.)

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Dynamic simulation models can increase research effi ciency and improve risk management of agriculture. Crop models are still little used for sugarcane (Saccharum spp.) because the lack of understanding of their capabilities and limitations, lack of experience in calibrating them, diffi culties in evaluating and using models, and a general lack of model credibility. This paper describes the biophysics and shows a statistical evaluation of a simple sugarcane processbased model coupled with a routine for model calibration. Classical crop model approaches were used as a framework for this model, and fi tted algorithms for simulating sucrose accumulation and leaf development driven by a source-sink approach were proposed. The model was evaluated using data from fi ve growing seasons at four locations in Brazil, where crops received adequate nutrients and good weed control. Thirteen of the 27 parameters were optimized using a Generalized Likelihood Uncertainty Estimation algorithm using the leave-one-out cross-validation technique. Model predictions were evaluated using measured data of leaf area index, stalk and aerial dry mass, and sucrose content, using bias, root mean squared error, modeling effi ciency, correlation coeffi cient and agreement index. The model well simulated the sugarcane crop in Southern Brazil, using the parameterization reported here. Predictions were best for stalk dry mass, followed by leaf area index and then sucrose content in stalk fresh mass. IntroductionDynamic simulation models can increase research effi ciency by allowing the analyst to search for strategies and analyze system performance, improve risk management, and interpret fi eld experiments that deal with crop responses to soil, management, genetic or environmental factors (Keating et al., 1999).Sugarcane (Saccharum spp.) is of major social and economic importance in Brazil. Worldwide, there have been several models developed specifi cally for sugarcane crop simulation (Pereira and Machado, 1986;Jones et al., 1989;Langellier and Martine, 2007;Keating et al., 1999;Thorburn et al., 2005;Inman-Bamber, 1991;Singels et al., 2008).Some of the physiological development and growth parameters that appear in the functions vary among sugarcane cultivars, meaning that they have to be estimated from data in order to predict growth and yield. Some of the parameters cannot be measured directly in typical experiments; instead, they have to be estimated based on data that are measured in experiments. Recent literature contains relatively little work on parameter estimation for crop models (Ahuja and Ma, 2011; Makowski et al., 2006). Makowski et al. (2006) point out the importance of raising the quality of calibration in crop models with automatic procedures for parameter adjustment. This would help ensure that the data are always used appropriately and in the same way for parameter estimation (Wallach et al., 2001), but such procedures are not available for direct use with existing sugarcane models.A new sugarcane model was developed ...

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Revised FAO Procedures for Calculating Evapotranspiration: Irrigation and Drainage Paper No. 56 with Testing in Idaho

Cited by 1,912 publications

References 0 publications

Agronomic aspects of soybean plants subjected to deficit irrigation

Agronomic aspects of soybean plants subjected to deficit irrigation

Response of a clingstone peach cultivar to regulated deficit irrigation

Process-based simple model for simulating sugarcane growth and production

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