Forecasting of the annual yield of Arabic coffee using water deficiency

Aparecido, Lucas Eduardo de Oliveira; Rolim, Glauco de Souza

doi:10.1590/s0100-204x2018001200002

Cited by 21 publications

(12 citation statements)

References 24 publications

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“…The targeting of photoassimilates for either vegetative growth (branches and new leaves) or for reproductive structures (formation and filling of coffee beans) leads to a biennial production (Matiello, 2010; Rena & Maestri, 1985; Valadares et al, 2013). This is reflected in alternations of periods of high vegetative growth and low yield and vice versa (Aparecido & Rolim, 2018; Cannell, 1985; Pereira et al, 2011). Thus, growth and production in coffee crop are negatively correlated and can be additionally impacted by climatic variability, affecting source strength and impacting productivity patterns in a 2‐year range (Alves et al, 2011; DaMatta et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…To identify and understand the climatic determinants of growth and patterns of carbon allocation in forest trees, two types of approaches have been used. Modelling approaches in which mathematical and statistical relationships are constructed between the width/area of the tree growth rings and the climate (Aparecido & Rolim, 2018; Babst et al, 2014; Gea‐Izquierdo et al, 2015; Gennaretti et al, 2017). Approaches involve growth analysis and biometric/allometric assessments in which parametric relationships are built between primary and secondary growth and the climate (Curtis et al, 2002; Vieilledent et al, 2012; Wirth et al, 2004; Wutzler et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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On the use of tree‐ring area as a predictor of biomass accumulation and its climatic determinants of coffee tree growth

Toro-Herrera

Pennacchi

Bôas

et al. 2021

Annals of Applied Biology

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The use of growth rings dimensional parameters has been an important tool for the understanding of growth, biomass allocation and climatic characterisation of forest species. However, its potential is unknown in perennial crops of socio‐economic importance, such as coffee. This work aimed to understand how the analysis of the growth rings can be used as a proxy to understand the climatic determinants of vegetative growth and biomass allocation in the different organs of coffee trees. The work was carried out in the southern region of Minas Gerais, Brazil. The structure of the growth rings of cross sections of the orthotropic stem of coffee trees (Coffea arabica L. cv. Arara) were analysed from 2011 to 2018, using standard dendrochronological techniques. Each year in that period was characterised climatically and by its bienniality. Pearson correlation statistical analysis was used for mapping the relation among annual radial growth rates of the trees and other assessed parameters as primary growth data, accumulated biomass and the climatic characteristics of the region on an annual and intra‐annual scale. During the study the water balance (conditioned by its components, Prec and ETo) and the maximum temperature were the main determinants of the characteristics of the formed ring and the plant biomass allocation. These growing characteristics were also influenced by the phenology that modulates the vegetative/reproductive growth cycles and in turn the biennial production cycles. The results show the potential of tree rings and dendrochronology as a tool that allows indirect, but long‐term, assessment of biomass allocation and growth in coffee trees.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the use of tree‐ring area as a predictor of biomass accumulation and its climatic determinants of coffee tree growth

Toro-Herrera

Pennacchi

Bôas

et al. 2021

Annals of Applied Biology

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“…Thus, each period corresponds to two biennia. The reason for this is that coffee growing in Brazil is subject to an effect called biennality, a two-year cycle in which the coffee plant has high yield and, in the following year, has reduced production, due to the need for recomposition of the plant (Aparecido;Rolim, 2018). The LQ was determined from the proportion between the VBP of coffee and the total VBP of agricultural activity, composed of the sum of the VBP of perennial and annual crops permanent and temporary crops, as expressed in Equation 1 (Isserman, 1977): QL, credit directed to agricultural activity (PRONAF, PRONAMP, FUNCAFÉ and credit without bond), and the number of coffee factories and roasters.…”

Section: Methodsmentioning

confidence: 99%

Spatial dynamics of coffee production in the state of Parana, Brazil

Ribeiro

Ponce

Telles

2020

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Coffee is a commodity of great economic importance for Brazil and for the state of Paraná. In the 1960s and 1970s, Paraná was responsible for half of coffee production in Brazil. However, after 1975, with the occurrence of what was called the "black frost" (geada negra), there was considerable reduction in the area devoted to coffee growing in Paraná. In this context, the aim of this study was to examine the spatial dynamics of coffee production in Paraná, identifying the microregions that have specialized in the activity, and analyze the evolution and spatial distribution of production in the period from 2003 to 2018. To do so, the locational quotient (LQ) method was applied, principal component analysis (PCA) was performed, and cluster analysis was carried out. A reduction in planted area and of the amount of coffee produced in Paraná was found. The results of the LQ denote changes in the spatial dynamics of coffee production, with reduction from 14 to 9 microregions specializing in the activity, and they are concentrated in the North Central and Northeast of Paraná. Two principal components that explained 88.06% of the total variability of the data were identified: the first formed by microregions with high participation in rural credit, and the second by microregions near the processing industries. Four groups were defined based on their degree of specialization, rural credit, and location of coffee industries. This trajectory implies gains in yield and reinforces the importance of investments in technology as a determining factor in development of the coffee production chain.

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“…However, such behavior was not observed during the first half of the rainy season. The annual cycle of GPP (Figure 8b) shows that productivity also peaked during the second half of the rainy season, coinciding with the most active phase of growth and storage of the developing fruit crop, which is known to cause increases in the photosynthetic rates of leaves in response to increased sink demand for assimilated carbon [35]. This implies that CO 2 capture dynamics could be driven by coupling of the surface and the atmosphere at higher levels.…”

Section: Annual Cycle Of Co 2 Fluxes and Productivitymentioning

confidence: 98%

Quantifying the Annual Cycle of Water Use Efficiency, Energy and CO2 Fluxes Using Micrometeorological and Physiological Techniques for a Coffee Field in Costa Rica

Chinchilla-Soto

Durán-Quesada

Monge-Muñoz

et al. 2021

Forests

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Coffee is one of the most commonly traded agricultural commodities globally. It is important for the livelihoods of over 25 million families worldwide, but it is also a crop sensitive to climate change, which has forced producers to implement management practices with effects on carbon balance and water use efficiency (WUE) that are not well understood due to data scarcity. From this perspective, we propose crop canopy coupling to the atmosphere (Ώ) as an index of resilience and stability and we undertook an integrated observational approach for the scaling-up of measurements along the soil–plant–atmosphere continuum at different stages of the coffee crop phenological cycle. Additionally, we develop this perspective under pronounced climatic seasonality and variability, in order to assess carbon balance, WUE, and agroecosystem resilience in a sun-grown coffee field. Further, we devised a field layout that facilitates the measurement of intrinsic, instantaneous, and actual water use efficiency and the assessment of whether coffee fields differ in canopy structure, complexity, and agronomic management and whether they are carbon sources or sinks. Partitioning soil and canopy energy balances and fluxes in a sun-grown coffee field using eco-physiological techniques at the leaf and whole plant levels (i.e., sap flow and gas exchange), as proposed here, will allow the scaling-up to whole fields in the future. Eddy covariance was used to assess real-time surface fluxes of carbon, gross primary productivity (GPP), and evapotranspiration, as well as components of the energy balance and WUE. The preliminary results support the approach used here and suggested that coffee fields are CO2 sinks throughout the year, especially during fruit development, and that the influence of seasonality drives the surface–atmosphere coupling, which is dominant prior to and during the first half of the rainy season. The estimated WUE showed consistency with independent studies in coffee crops and a marked seasonality driven by the features of the rainy season. A plan for the arborization of the coffee agroecosystem is suggested and the implications for WUE are described. Future comparison of sun- and shade-grown coffee fields and incorporation of other variables (i.e., crop coefficient-KC for different leaf area index (LAI) values) will allow us to better understand the factors controlling WUE in coffee agroecosystems.

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Forecasting of the annual yield of Arabic coffee using water deficiency

Cited by 21 publications

References 24 publications

On the use of tree‐ring area as a predictor of biomass accumulation and its climatic determinants of coffee tree growth

On the use of tree‐ring area as a predictor of biomass accumulation and its climatic determinants of coffee tree growth

Spatial dynamics of coffee production in the state of Parana, Brazil

Quantifying the Annual Cycle of Water Use Efficiency, Energy and CO2 Fluxes Using Micrometeorological and Physiological Techniques for a Coffee Field in Costa Rica

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