2015
DOI: 10.5935/1984-2295.20150096
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Species Caesalpinia pyramidalis Tul. and Prosopis juliflora Sw (DC.) on different water regimes: growth and mathematical models fitting

Abstract: Poucos são os estudos que destacam o efeito de diferentes regimes hídricos sobre o crescimento de plantas da Caatinga; ao passo que modelos matemáticos empíricos são utilizados em larga escala na modelagem de crescimento de plantas, mas também tem sido pouco aplicados para espécies desse bioma. Objetivou-se avaliar o crescimento inicial e o desempenho de modelos matemáticos no ajuste de dados biométricos e de biomassa de espécies ocorrentes na caatinga sob diferentes regimes hídricos. Um experimento foi conduz… Show more

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Cited by 1 publication
(4 citation statements)
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“…This result indicates that the occurrence of short periods of water deficit (represented by the differentiation of the water regime resupply) did not promote significant changes in the growth of the aerial part dry matter of these species. Silva et al (2015) found different results when analyzed the influence of the water regime on the species Prosopis juliflora Sw (DC.) and Caesalpinia pyramidalis Tul.,…”
Section: Biomass and Its Partitioningmentioning
confidence: 99%
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“…This result indicates that the occurrence of short periods of water deficit (represented by the differentiation of the water regime resupply) did not promote significant changes in the growth of the aerial part dry matter of these species. Silva et al (2015) found different results when analyzed the influence of the water regime on the species Prosopis juliflora Sw (DC.) and Caesalpinia pyramidalis Tul.,…”
Section: Biomass and Its Partitioningmentioning
confidence: 99%
“…In the studies on the initial growth of Prosopis juliflora Sw (DC. ), an invasive species and Caesalpinia pyramidalis Tul., a native species, Silva et al (2015) adjusted several physical models, among them, the Gaussian and Gompertz to estimate dry biomass as a function of water availability. These researchers obtained excellent values for the validation parameters R, d, c, MAE and SRMSE, where the Gompertz model excelled with optimal accuracy (d close to 1) using GDA values.…”
Section: T CMmentioning
confidence: 99%
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