Risco de geada e duração dos subperíodos fenológicos da 'Cabernet Sauvignon' na região da Campanha

Brixner, Gabriel Franke; Schöffel, Edgar Ricardo; Lago, Isabel; Radünz, André Luiz; Krüger, Alexandra Peter

doi:10.1590/s1415-43662014000200013

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Owing to the large impact that frosts have upon the agriculture, numerous scientific studies have centred on addressing the damage caused by this phenomenon to: coffee (Androcioli Filho and Caramori, 2000), peaches (Szewczuk et al, 2007), sugar cane (Monteiro and Sentelhas, 2014), corn (Carter, 1995), beans (Meyer and Badaruddin, 2001), apples (Eccel et al, 2009), vines (Brixner et al, 2014) and canola (Perissato et al, 2013), among other crops. Minimizing frost damage can be done by taking preventive measures (passive protection) or by acting during the frost (Snyder and de Melo-Abreu, 2005).…”

Section: Introductionmentioning

confidence: 99%

Development of an index for frost prediction: Technique and validation

Rozante

Gutierrez

Dias

et al. 2019

Meteorological Applications

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An index for frost prediction is proposed and calibrated against observations. It takes into account: (1) the main meteorological variables that favour or oppose to frost; (2) weights attributed to these variables; and (3) means and standard deviations of these variables, only for cases in which frost occurs, as defined by observation of temperatures that are ≤ 6°C. The meteorological variables used for the frost index IG (from the Portuguese, Índice de Geada) are numerically predicted by a regional weather forecast model. An outcome of the calibration processes results is that temperature has the largest contribution, followed by pressure and winds, while the other variables were adjusted to obey the restriction that the sum of weights are equal to 1. After index calibration and threshold determination, the method was applied for the 2017 winter season, and a case study for May 2018 was also considered. In order to verify whether the new index can satisfactorily contribute to the weather forecasting, the results using the IG were compared with the temperature outputs of the numerical regional model. It was found that for three selected areas, and for all the forecasted hours, the IG produces better results than the model's direct temperature forecasts. Thus, it was concluded that the use of the IG in an operational environment potentially provides considerable improvement in the predictive skill of frost events.

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Section: Introductionmentioning

confidence: 99%

Development of an index for frost prediction: Technique and validation

Rozante

Gutierrez

Dias

et al. 2019

Meteorological Applications

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“…Climate is the most important variable in agricultural production (WAGNER et al, 2011), because it directly and indirectly influences the crops by regulating the growth, yield, and quality of agricultural products (BRIXNER et al, 2014;KUMAR et al, 2014). Solar irradiance provides the energy for photosynthesis and the partitioning of plant carbohydrates (OLIVEIRA et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Agrometeorological Models for Estimating Lychee Fruit Growth

et al. 2017

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The influence of climate on the development of lychee fruit is complex, but few studies have discussed the problem. We developed agrometeorological models for simulating the development of fruit fresh matter (FM), fruit dry matter (DM), fruit length (LE), fruit diameter (DI), fruit volume (VO), and fruit number per cluster (FN) of the “Bengal” lychee cultivar as functions of climatic conditions. We conducted three analyses: (a) the influence of mean meteorological elements on the rates of fruit growth, (b) estimation of fruit development by the agrometeorological models using sigmoidal adjustments, and (c) simulation of fruit development using multiple nonlinear regression of two meteorological elements to improve the accuracy. A rate of water deficit (WD) near 5 mm d-1 maximised FM, DM, LE, DI, and VO. Increases in potential evapotranspiration (PET), degree days (DD), and actual evapotranspiration (AET) were correlated with increases in VO and decreases in LE and NF. Models estimating fruit development indicated that the accumulation of WD, PET, AET, and DD had sigmoidal relationships with all variables of fruit growth except FN. FN decreased as WD, PET, AET, and DD increased. The adjusted multivariate models were accurate, with the largest error of 6.45 cm3 (VO). The best models were: FM = f(SWD, DD), LE = f(SAET, DD), DI = f(SWD, DD), VO = f(SWD, DD), and FN = f(SAET, WD).

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“…Também constataram a redução na massa dos grãos de milho atingido pela geada. Brixner et al (2014) verificaram que em videiras da cultivar 'Cabernet Sauvignon' atingidas por geadas, os danos nos órgãos e tecidos foram visíveis, principalmente nas gemas em início de brotação, caracterizados pelo aspecto caramelado e depois seco. Outra constatação foi que em áreas de maior incidência de geadas, o ciclo fenológico da videira se estendeu.…”

Section: Introductionunclassified

Modelagem Estatística Para Previsão De Geada De Radiação

Silva

Minuzzi

2016

CeN

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O objetivo do estudo foi obter modelos estatísticos para a previsão de geada branca. Foram utilizados dados meteorológicos diários de temperatura mínima e temperatura média do ar das 18 h e 00 h (TMG-Tempo Médio de Greenwich) no período de maio a agosto de 2000 a 2015, de estações localizadas nos municípios de Campos Novos, Lages, Chapecó e São Joaquim, em Santa Catarina. Foi utilizada a regressão linear simples e polinomial para correlacionar as variáveis independentes (X), temperatura mínima, temperatura média, temperatura das 18 h e 00 h (TGM) do dia anterior (Ti-1), com a variável dependente (Y), temperatura mínima do dia presente (Tmin i). O índice de confiança foi utilizado para avaliar a confiabilidade da estimativa de temperatura mínima (Ti). A temperatura do ar a 00 h (TMG) foi a melhor variável preditora para a temperatura mínima (Tmin i). Os modelos estatísticos obtidos para previsão de temperatura mínima (Tmin i) apresentaram um desempenho 'muito bom'. Em eventos de geada branca (Tmin ≤ 4°C), o acerto nas estimativas esteve entre 64,3% e 88,9%.

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Risco de geada e duração dos subperíodos fenológicos da 'Cabernet Sauvignon' na região da Campanha

Cited by 5 publications

References 10 publications

Development of an index for frost prediction: Technique and validation

Development of an index for frost prediction: Technique and validation

Nonlinear Agrometeorological Models for Estimating Lychee Fruit Growth

Modelagem Estatística Para Previsão De Geada De Radiação

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