Coffee Science_v.16, 2021
URI permanente para esta coleçãohttps://thoth.dti.ufv.br/handle/123456789/12727
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Item The impacts of climate variability on coffee yield in five indonesian coffee production centers(Editora UFLA, 2021) Sarvina, Yeli; June, Tania; Sutjahjo, Surjono Hadi; Nurmalina, Rita; Surmaini, ElzaCoffee is an annual crop sensitive to climate variability. Most Indonesian coffee is cultivated on marginal lands that are vulnerable to environmental chang es, including climate. Indonesia’s climate variability is influenced by several factors, including the monsoon, local aspects, and global climate oscillations such as the El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD). It is crucial to identify the impacts of climate variability on both the production and the economy to develop adaptative measures. This study aims to determine the effects of global climate variability, namely ENSO and IOD, on coffee production in several Indonesian production centers. It uses annual coffee production data in the five major production centers in Indonesia. The ENSO indicators used in this study were the Oceanic Nino Index (ONI) in the Nino 3.4 region and the IOD indicator in the Dipole Mode Index (DMI). The anomaly analysis approach between neutral years and the extreme ENSO and between normal and IOD extreme phases were applied in this study. The results showed that the effects of ENSO and IOD were different in each region. The highest decline in production occurred in the La-Nina year in almost all production centers. The decline in output in the La-Nina year ranged from 6 to 22%. Meanwhile, the IOD that had a decreasing effect on production was positive IOD with a decrease ranging from 1 to 15%.Item Leaf anatomy, physiology and vegetative growth of fertigated Coffee arabica L. trees after exposure to pruning(Editora UFLA, 2021) Soares, Daiane dos Santos; Silva, Elisângela Aparecida da; Carvalho, Milene Alves de Figueiredo; Pereira, Fernanda Aparecida Castro; Guimarães, Rubens JoséIn coffee plants, fertigation can be an alternative way to minimize the negative effects exerted by drought and maximize fertilizer use efficiency. However, the fertilization recommendations for fertigated coffee trees are still not very specific, and the recommendations for rainfed crops are used. In addition, little is known about the nutritional requirements for fertigated coffee trees that have undergone the low recepa pruning treatment. Thus, the objective of this study was to evaluate the effects of different levels of nitrogen (N), phosphorus (P), and potassium (K) fertilizers on leaf anatomy, physiology, and veg etative growth of fertigated coffee trees (Coffea arabica L.) that have been under the low recepa pruning treatment. During the first five years of growth, the cultivar Topázio MG-1190 of the coffee crop received 10, 40, 70, 100, 130, and 160% of the fertilization levels recommended for the rainfed coffee crop. After this period, the crop was exposed to low recepa pruning. It was concluded that different doses of N, P, and K fertilizers modified the internal structure of coffee plant leaves, as well as physiological responses and plant growth; there was stronger vegetative growth, sharper leaf blade, greater thickness of spongy parenchyma, larger phloem area, and higher xylem relative hydraulic conductivity as the N, P, and K fertilizer levels in fertigated coffee (Coffea arabica L.) plants, which received the low recepa pruning treatment, increased. This knowledge can be used as a solid basis for main fertilization recommendations for fertigated coffee trees after exposure to the low recepa pruning treatment.Item Interaction between climate, flowering and production of dry coffee (Coffea arabica L.) in Minas Gerais(Editora UFLA, 2021) Soares, Lidiany dos Santos; Rezende, Tiago Teruel; Beijo, Luiz Alberto; Franco Júnior, Kleso SilvaAiming to determine the interaction between climatic factors, flowering and yield of dry arabica coffee in municipalities in the regions of Southern Minas Gerais and Alto Paranaíba, both in the State of Minas Gerais, this study considered data from the harvest years 2008/2009 to 2017/2018, and climatic data analyzed according to the coffee phenological cycle. The determination of significant variables used the Stepwise method and the Akaike Information Criterion (AIC). The association of yield with climatic variables used a generalized linear model with gamma distribution and logarithmic function. Average flowering (20% to 50% of flowers per branch) used a logistic regression model. The productive variability of arabica coffee showed an association with the biennial cycle, the occurrence of medium and main flowering, flowering period and rains in bean formation. The occurrence of average flowering and the frequency of rainfall during bean formation enhanced coffee yield, at the same time as the increment in maximum temperature in vegetative bud formation reduced flowering and yield.