Índices bioclimáticos para a cultura de café

Carvalho, Hudson de Paula; Melo, Berildo de; Rabelo, Paulo Gonçalves; Silva, Cláudio R. da; Camargo, Reginaldo de

doi:10.1590/s1415-43662011000600010

Cited by 8 publications

(1 citation statement)

References 10 publications

(10 reference statements)

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“…Besides, there are many other models already tested in different producing regions, as well as in different edaphoclimatic and crop management conditions Camargo et al, 2007). Such models have also been used to determine the onset and duration of phenological stages for coffee trees (Zacharias et al, 2008;Nunes et al, 2010;Carvalho et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Validation of a phenological model for coffee tree productivity in Southern State of Minas Gerais, Brazil

Miranda¹,

Carvalho²,

Fahl³

et al. 2017

Afr. J. Agric. Res.

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There are studies on the current state of understanding productivity models, focusing on the applicability of different estimation models for coffee tree productivity; the majority involving a considerable level of complexity. Thus, when searching for a simple and direct association between phenological characteristics and coffee productivity, doing research on this hypothesis is necessary. In this study, we aimed to validate a phenological model for coffee tree productivity by using phenological indices, under given edaphoclimatic conditions of Southern State of Minas Gerais, Brazil. We used 10 sample plots obtained from the municipalities of Lavras, Varginha, Carmo de Minas, Ijaci and Santo Antônio do Amparo. Plots were chosen based on the existing history about coffee productivity, which is over 40 sacks ha -1 . Phenological data were collected in September-October, December-January and March to April of the harvesting seasons 2012/2013 and 2013/2014. The number of flowers and fruits were obtained at the fourth and fifth productive nodes of coffee plagiotropic branches sampled at the middle third of each coffee plant. Forty plants were sampled in each plot for the measurement of plant height and estimates of productivity phenological indices. Data regarding the observed production were obtained for models comparison and validation and, then, statistical tests were run. Results showed that these models are suitable for the coffee crop in the region under study. In addition, productivity phenological indices showed good correlation with the observed productivity.

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Section: Introductionmentioning

confidence: 99%

Validation of a phenological model for coffee tree productivity in Southern State of Minas Gerais, Brazil

Miranda¹,

Carvalho²,

Fahl³

et al. 2017

Afr. J. Agric. Res.

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Can nonlinear agrometeorological models estimate coffee foliation?

Aparecido

Lorençone

et al. 2021

J Sci Food Agric

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BACKGROUND The loss of coffee leaves caused by the attack of pests and diseases significantly reduces its production and bean quality. Thus this study aimed to estimate foliation for regions with the highest production of arabica coffee in Brazil using nonlinear models as a function of climate. A 25‐year historical series (1995–2019) of Coffea arabica foliation (%) data was obtained by the Procafé Foundation in cultivations with no phytosanitary treatment. The climate data were obtained on a daily scale by NASA/POWER platform with a temporal resolution of 33 years (1987–2019) and a spatial resolution of approximately 106 km, thus allowing the calculation of the reference evapotranspiration (PET). Foliation estimation models were adjusted through regression analysis using four‐parameter sigmoidal logistic models. The analysis of the foliation trend of coffee plantations was carried out from degrees‐day for 70 locations. RESULTS The general model calibrated to estimate the arabica coffee foliation was accurate (mean absolute percentage error = 2.19%) and precise (R2adj = 0.99) and can be used to assist decision‐making by coffee growers. The model had a sigmoidal trend of reduction, with parameters ymax = 97.63%, ymin = 9%, Xo = 3517.41 DD, and p = 6.27%, showing that foliation could reach 0.009% if the necessary phytosanitary controls are not carried out. CONCLUSION Locations with high air temperatures over the year had low arabica coffee foliation, as shown by the correlation of −0.94. Therefore, coffee foliation can be estimated using degree days with accuracy and precision through the air temperature. This represents great convenience because crop foliation can be obtained using only a thermometer. © 2021 Society of Chemical Industry.

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Coffee pest severity by agrometeorological models in subtropical climate

Aparecido

Lorençone

et al. 2022

Int J Biometeorol

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Índices bioclimáticos para a cultura de café

Cited by 8 publications

References 10 publications

Validation of a phenological model for coffee tree productivity in Southern State of Minas Gerais, Brazil

Validation of a phenological model for coffee tree productivity in Southern State of Minas Gerais, Brazil

Can nonlinear agrometeorological models estimate coffee foliation?

Coffee pest severity by agrometeorological models in subtropical climate

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