Mudanças climáticas e seus efeitos no rendimento de arroz irrigado no Rio Grande do Sul

Walter, Lidiane Cristine; Streck, Nereu Augusto; Rosa, Hamilton Telles; Ferraz, Simone Erotildes Teleginski; Ceolin, Jossana

doi:10.1590/s0100-204x2014001200001

Cited by 13 publications

(9 citation statements)

References 14 publications

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“…This impact hinders development because it shortens the cycle duration and reduces yield, due to the reduction of photosynthesis and the accumulation of photoassimilates (Fagundes et al, 2010). Thus, studies examining the potential impacts of climatic changes on the development of annual and perennial species are important in scenarios with promising economic potential (IPCC, 2013;Walter et al, 2014), such as olive trees that are cultivated in the southern and southeastern regions of Brazil (Martins et al, 2012;Wrege et al, 2015;Santos et al, 2017b).…”

Section: Introductionmentioning

confidence: 99%

Impacts of climatic changes on the vegetative development of olive cultivars

Florêncio

Martins

Ferreira

et al. 2019

Rev. bras. eng. agríc. ambient.

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The aim of this study was to simulate the vegetative development of the olive cultivars Arbequina and MGS ASC315 cultivated in Maria da Fé, MG, Brazil (22° 18’ 29” S, 45° 22’ 31” W, 1.276 m of altitude). The development of these cultivars was simulated in nine transplanting dates, considering three distinct scenarios for three periods (2011-2040, 2041-2070 and 2071-2100). Climate changes influence the olive crop management. The increase in air temperature modifies the development rate and the duration of the seedling phase of the cultivars Arbequina and MGSASC315. In colder months, there is accelerated vegetative development and shorter seedling phase duration. Conversely, in warmer months, there is delayed development with longer seedling phase duration.

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Section: Introductionmentioning

confidence: 99%

Impacts of climatic changes on the vegetative development of olive cultivars

Florêncio

Martins

Ferreira

et al. 2019

Rev. bras. eng. agríc. ambient.

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“…O dimensionamento do risco de ocorrência de temperaturas máximas extremas mensais e anual são informações relevantes para o planejamento e a tomada de decisões de agricultores e órgãos governamentais, pois podem diminuir os impactos causados pelos níveis máximos de temperatura (ASTOLPHO et al, 2004). Em seus níveis mais elevados, é um dos elementos climáticos de maior importância para o crescimento, o desenvolvimento e a produtividade de culturas como o arroz, a soja e o milho (WALTER et al, 2014).…”

Section: Introductionunclassified

Análise Probabilística Da Temperatura Máxima Em Uruguaiana, Rs

Ferreira

Liska

2019

RBAI

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RESUMOA teoria dos valores extremos desempenha um papel fundamental na modelagem de eventos associados a probabilidades baixas ou eventos raros. Os modelos probabilísticos baseados nesta teoria visam predizer, a partir de um conjunto de valores máximos de um processo ambiental registrado num período relativamente curto (30 anos, por exemplo), os valores máximos esperados em um período maior (50, 100 ou mais anos). Para o caso específico das temperaturas, são de grande utilidade, por exemplo, no planejamento de projetos agrícolas. Este trabalho teve por objetivo empregar as distribuições generalizada de valores extremos (GVE) e Gumbel aos dados de temperatura máxima mensal registradas durante um período de 64 anos (1951 a 2015) em Uruguaiana, Estado do Rio Grande do Sul. Para a estimação dos parâmetros dessa distribuição, foi utilizado o método da máxima verossimilhança. O ajuste aos dados foi avaliado por meio dos gráficos de envelopes simulado e do teste de Kolmogorov-Smirnov. A distribuição GVE se ajustou aos dados em todos os meses do ano e, em particular, nos meses de março, outubro e novembro a distribuição Gumbel é mais adequada. Nos meses de maio a agosto ocorreram as menores temperaturas previstas para todos os níveis de retorno, e nos meses de dezembro a fevereiro ocorreram as maiores temperaturas previstas para todos os níveis de retorno calculados.Palavras-chave: variáveis meteorológicas, distribuição Gumbel, eventos extremos, climatologia. PROBABILISTIC ANALYSIS OF MAXIMUM TEMPERATURE IN URUGUAIANA, RS. ABSTRACTThe extreme value theory plays a fundamental role in modeling events associated with low probabilities or rare events. The probabilistic models based on this theory aim to predict, from a set of maximum values of an environmental process registered in a relatively short period (30 years, for example), the maximum values expected in a longer period of time (50, 100 or more years). For the specific case of temperatures, they are very useful, for example, in the planning of agricultural projects. The objective of this work was to evaluate the generalized extreme value distributions (GEV) and

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“…Wa t e r d e f i c i t i s a l i m i t i n g f a c t o r (ALBUQUERQUE et al, 2013) that affects the growth and development of crops CARLESSO, 1998), with effects on diverse physiological processes of plants (PEIXOTO et al, 2006), and thermal conditions influence phenological development (WAGNER et al, 2011;WALTER et al, 2014). Air temperatures <11 °C stop lychee growth, and the crop has high vegetative growth in hot regions, reducing the formation of flowers and fruits (MENZEL;PAXTON, 1985).…”

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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Mudanças climáticas e seus efeitos no rendimento de arroz irrigado no Rio Grande do Sul

Cited by 13 publications

References 14 publications

Impacts of climatic changes on the vegetative development of olive cultivars

Impacts of climatic changes on the vegetative development of olive cultivars

Análise Probabilística Da Temperatura Máxima Em Uruguaiana, Rs

Nonlinear Agrometeorological Models for Estimating Lychee Fruit Growth

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