scholarly journals Investigation of Utilizing Coffee Commodities toward Land Suitability, Case Study: Mane Village, Aceh Province

2019 ◽  
Vol 6 (3) ◽  
pp. 608
Author(s):  
Muhammad Akbar ◽  
Abubakar Karim ◽  
Sugianto Sugianto
Keyword(s):  
Tropical Forests ◽  
Coffea Arabica ◽  
Soil Analysis ◽  
Coffea Canephora ◽  
Land Suitability ◽  
Robusta Coffee ◽  
Aceh Province ◽  
Coffee Plants ◽  
Slope Class

The characteristics of tropical forests in Indonesia produce various types of plants that can be used to improve the economic sector of the surrounding communities. The study is carried out on several suitable plants to be cultivated. Coffee plants such as Arabica Coffee (Coffea arabica) and Robusta coffee (Coffea Canephora) are one of them. It will be conducted to figure out whether coffee plants are sufficiently feasible to be cultivated especially in Mane Village, Aceh Province, which is the location of the research. Feasibility of coffee plants is reviewed from soil analysis based on the soil research center (1983), land suitability and slope class. The results show that coffee plants are feasible to be used as one of the potential cultivated commodities.

scholarly journals Vegetative growth and yield of robusta coffee genotypes cultivated under different shading levels

2019 ◽  
Vol 35 (5) ◽  
Author(s):  
Luan Peroni Venancio ◽  
José Francisco Teixeira Do Amaral ◽  
Paulo Cezar Cavatte ◽  
Cynthia Teixeira Vargas ◽  
Edvaldo Fialho Dos Reis ◽  
...  
Keyword(s):  
Climate Change ◽  
Growth Rate ◽  
Vegetative Growth ◽  
Coffea Canephora ◽  
Growth And Yield ◽  
Full Sunlight ◽  
Robusta Coffee ◽  
Coffee Plants ◽  
Four Levels ◽  
Impacts Of Climate Change

The growing in shaded systems is one of the strategies adopted to mitigate the impacts of climate change on coffee trees. However, there are few studies about the effect of shading on the growth and production of clones of robusta coffee (Coffea canephora). Besides that, exist a paradigm  in Brazil of that the shading in coffee robusta is synonymous of less yield. Thus, the aim of this work was to evaluate whether C. canephora genotypes subjected to shading increase their yield and growth vegetative under field conditions. The study was performed between September 2013 and July 2017 (four harvests) in Alegre, Espírito Santo state, Brazil. Three genotypes of cultivar Conilon Vitória - Incaper 8142 were evaluated (03V, 06V, and 12V) and four levels of shade: full sunlight (witness) and, low, moderate and, high shade, with 38, 48 and, 68% of real capacity of shade, respectively. The shade was performed using black polyolefin screens; plants growing in full sunlight were only fenced. The tested shade levels affected the growth rate and yield of Robusta coffee plants. The shading caused a greater leaf expansion as compared to the full sunlight, as well as greater etiolation of the plagiotropic and orthotropic branches. The genotype 06V was shown to be responsive to shading, with a statistically equal production independently of shade level. The low, moderate, and high shade levels affected negatively the yield of genotypes 03V and 12V. The shading can improve the yield of Robusta coffee, in this case, of the genotype 06V of the cultivar Conilon Vitória - Incaper 8142. The success of shaded plantations depends the choice of the shade responsive genotypes and appropriate shading level.

scholarly journals Evaluasi Kesesuaian Lahan pada Tanaman Kopi Arabika (Coffea arabica L.) Organik Menggunakan Sistem Informasi Geografis (SIG) di Kecamatan Pegasing Kabupaten Aceh Tengah

2019 ◽  
Vol 4 (2) ◽  
pp. 329-338
Author(s):  
Ghalib Auliansyah ◽  
Fachruddin Fachruddin ◽  
Yuswar Yunus
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Water Availability ◽  
Coffea Arabica ◽  
Land Suitability ◽  
Limiting Factor ◽  
Arabica Coffee ◽  
The People ◽  
Coffee Plants ◽  
Coffea Arabica L

Abstrak.  Komoditas kopi identik dengan kehidupan masyarakat Aceh Tengah, karena sebagian besar penduduk di wilayah dataran tinggi ini menggantungkan hidupnya dari komoditas kopi. Evaluasi kesesuaian lahan pada tanaman kopi Arabika organik sangat penting untuk mengoptimalkan produktivitas tanaman tersebut. Hasil penelitian menunjukkan kelas kesesuaian lahan aktual di Kecamatan Pegasing dengan analisis lahan seluas 7.800,69 ha adalah sangat sesuai (S1) seluas 2.851,28 ha (36,55%), cukup sesuai (S2) 3.616,56 ha (46,36%) dan tidak sesuai (N) seluas 1.332,85 ha (18,72%) dengan faktor pembatas terberat ketersediaan air (wa) pada semua SPL, resistensi hara (nr) pada SPL 1, 3 dan 4 serta kemiringan lereng pada semua SPL.Evaluation of Land Suitability on Organic Arabica  Coffee Plants (Coffea arabica L.) Using Geographic Information Systems (GIS) in Pegasing District Middle of Aceh RegencyAbstract. Coffee commodities are identical to the life of the people of Middle Aceh, because most of the population in this highland region depends on the commodity of coffee. Evaluation of land suitability in organic Arabica coffee plants is very important to optimize the productivity of these crops. The results showed the actual land suitability class in Pegasing District with an analysis of an area of 7,800.69 ha was very suitable (S1) covering an area of 2.851,28 ha (36,55%), quite suitable (S2) 3.616,56 ha (46,36%) and incompatible (N) covering an area of 1,332.85 ha (18.72%) with the heaviest limiting factor of water availability (wa) in all SPL, nutrient resistance (nr) in SPL 1, 3 and 4 and slope slope in all SPL.

scholarly journals SENSORY ATTRIBUTES PROFILING OF DAMPIT ROBUSTA COFFEE LEAF TEA (Coffea canephora)

2019 ◽  
pp. 164-175 ◽  
Keyword(s):  
Aromatic Compounds ◽  
Fermentation Process ◽  
Bitter Taste ◽  
Coffea Canephora ◽  
Total Phenol ◽  
Green Wood ◽  
Real Effect ◽  
Robusta Coffee ◽  
Aroma Characteristics ◽  
Coffee Plants

Abundant leaf waste resulted from the maintenance of coffee plants can alternatively be made into coffee leaf tea. The results of this study indicate that old Robusta coffee leaf significantly have increasing total phenol, pH and color, but decreasing the level of caffeine. The fermentation process can significantly reduce total phenol, caffeine content, pH and color. Meanwhile, the brewing temperature only gives a real effect on the color of steeping tea. Based on the method of Rate-All-that-Apply (RATA), coffee leaf tea powder has aroma characteristics (green, wood, floral, earth and sweet), while the steeping tea has characteristics of having green aroma and flavor as well as bitter taste and astringent in mouth. The most dominant profile of aromatic compounds of coffee leaf tea with GCMS HS-SPME method is green which might be attributed by 2-heptanol (CAS), 2-hexen-1-ol, 1-furfuryl-2-formyl pyrrole, safranal, betacyclocitral, 4-heptanal,(Z)-(CAS), hexanal (CAS), nonanal, benzeneacetaldehyde, benzaldehyde, 2-heptanone (CAS)

scholarly journals Estimating biophysical properties of coffee (Coffea canephora) plants with above-canopy field measurements, using CropSpec®

2018 ◽  
Vol 32 (2) ◽  
pp. 183-191 ◽  
Author(s):  
Bayu T. Widjaja Putra ◽  
Peeyush Soni ◽  
Eiji Morimoto ◽  
Pujiyanto Pujiyanto
Keyword(s):  
Nitrogen Content ◽  
Near Infrared ◽  
Field Experiments ◽  
Vegetation Indices ◽  
Coffea Canephora ◽  
Biophysical Properties ◽  
Robusta Coffee ◽  
Red Edge ◽  
Coffee Plants ◽  
Non Destructive

Abstract Remote sensing technologies have been applied to many crops, but tree crops like Robusta coffee (Coffea canephora) under shade conditions require additional attention while making above-canopy measurements. The objective of this study was to determine how well chlorophyll and nitrogen status of Robusta coffee plants can be estimated with the laser-based (CropSpec®) active sensor. This study also identified appropriate vegetation indices for estimating Nitrogen content by above-canopy measurement, using near-infra red and red-edge bands. Varying light intensity and different background of the plants were considered in developing the indices. Field experiments were conducted involving different non-destructive tools (CropSpec® and SPAD-502 chlorophyll meter). Subsequently, Kjeldahl laboratory analyses were performed to determine the actual Nitrogen content of the plants with different ages and field conditions used in the non-destructive previous stage. Measurements were undertaken for assessing the biophysical properties of tree plant. The usefulness of near-infrared and red-edge bands from these sensors in measuring critical nitrogen levels of coffee plants by above-canopy measurement are investigated in this study.

scholarly journals YIELD OF Coffea arabica GRAFTED ONTO Coffea canephora IN SOILS INFESTED WITH NEMATODES IN MEXICO

2019 ◽  
Vol 14 (3) ◽  
pp. 308
Author(s):  
Francisco Javier López García ◽  
Juan Guillermo Cruz Castillo
Keyword(s):  
Costa Rica ◽  
Central Region ◽  
Coffea Arabica ◽  
Coffea Canephora ◽  
Fruit Production ◽  
Fruit Yield ◽  
Yield Reduction ◽  
Coffee Plants ◽  
Propagation Methods ◽  
Coffea Arabica L

The total of three consecutive years of fruit production was evaluated in six coffee cultivars (<em>Coffea arabica L</em>.) propagated by seed and grafted onto Robusta (<em>Coffea canephora</em> var. Robusta). The plantations were established at 640 m, 920 m, and 1340 m altitude in the central region of the Veracruz State, Mexico. The <em>coffea</em> plants were established in soils naturally infested with nematodes. Grafted plants had higher production than those propagated by seed. Fruit production was higher at 640 m and 920 m than at 1340 m for the two types of propagation. The cultivars Colombia Brote Café and Colombia Brote Verde had the highest fruit yield regardless of the propagation methods; in contrast, Pacamara, had the lowest. The grafted coffee plants that were planted at 1340 m had a yield reduction of 27% in comparison with those at 640 and 920 m. When the Costa Rica 95 variety was grafted, it achieved fruit yield similar to Colombia Brote Verde and Colombia Brote Café. Pacamara produced almost 28% more fruit when it was grafted onto Robusta.

scholarly journals Karakter Agronomis dan Fisiologis Tanaman Kopi Robusta (Coffea canephora) pada Dataran Tinggi di Kecamatan Pejawaran Kab. Banjarnegara

2020 ◽  
Vol 2 (1) ◽  
pp. 11-16
Author(s):  
Duando Rizki ◽  
Bambang Rudianto Wijonarko ◽  
Purwanto Purwanto
Keyword(s):  
Chlorophyll Content ◽  
Sea Level ◽  
Plant Height ◽  
Coffea Canephora ◽  
Stem Diameter ◽  
Mountainous Area ◽  
Robusta Coffee ◽  
Total Plant ◽  
Coffee Plants ◽  
Selection Of

The agronomic characteristics of Robusta coffee plants are influenced by several factors, one of which is altitude. Robusta coffee can grow optimally at an altitude of 400-1,000 meters above sea level with a temperature of 21-24 °C. Pejawaran sub-district is known as a mountainous area with a height of 900-1600 m above sea level. This research was conducted in July to September 2019 in the coffee garden of Sarwodadi Village, Pejawaran District, Banjarnegara Regency. The selection of research sites was carried out by conducting a survey where 3 altitudes were selected that had a greater number of coffee plants. The research sites include 1,100 m asl, 1,200 m asl and 1,350 m asl, plant samples taken are 10% of the total plant population. Variables observed included chlorophyll a, chlorophyll b, stomata opening, stomata density, plant height, stem diameter, number of productive branches, number of bunches per plant and yield per plant. The results showed that the altitude of 1,100 m asl has chlorophyll content, the number of bunches per plant and yield per plant is better than the other heights of 20.95 mg / g, 8.64 mg / g, 113 and 6.64 kg. The chlorophyll content of a and b is positively related to the number of bunches. Stomatal openings are significantly positive for the number of productive branches. Plant height was negatively related to productive branches and number of bunches. Stem diameter is positively related to the number of bunches. The number of productive branches is positively related to the results.

scholarly journals Malignant Snare Traps Threaten an Irreplaceable Megafauna Community

2021 ◽  
Vol 14 ◽  
pp. 194008292198918
Author(s):  
Joe J. Figel ◽  
Muhammad Hambal ◽  
Ivan Krisna ◽  
Rudi Putra ◽  
Dedi Yansyah
Keyword(s):  
Southeast Asia ◽  
Tropical Forests ◽  
Disease Risk ◽  
Wildlife Trade ◽  
Large Mammals ◽  
Aceh Province ◽  
Wildlife Populations ◽  
Species Specific ◽  
Human Wildlife Conflict

Tropical forests are under severe threat from over-hunting. Subsistence harvests and poaching have decimated wildlife populations to the extent that nearly 50% of Earth’s tropical forests are partially or fully devoid of large mammals. Declines are particularly acute in Southeast Asia where ongoing defaunation, largely attributable to indiscriminate snare trapping, is widespread. Using the extensively forested Aceh province in northern Sumatra as a case study, we document rampant snaring, which threatens Earth’s last sympatric population of tigers, rhinoceros, elephants, and orangutans. To prevent catastrophic hunting-induced impacts already experienced in mainland Southeast Asia, we call for more comprehensive conservation planning assessments that strengthen wildlife law enforcement, promote collaborative anti-poaching, and research species-specific snaring impacts, particularly in the context of human-wildlife conflict. We conclude with a discussion of the important linkages between poaching, wildlife trade, and zoonotic disease risk.

LAND USE TYPES AND SOIL CHARACTERISTICTS: A CASE STUDY IN HUONG VINH COMMUNE, HUONG TRA TOWN, THUA THIEN HUE PROVINCE

2017 ◽  
Vol 126 (4B) ◽  
Author(s):  
Trần Thanh Đức
Keyword(s):  
Land Use ◽  
Sweet Potato ◽  
Soil Analysis ◽  
Soil Characteristics ◽  
Low Ph ◽  
Clay Loam ◽  
Total N ◽  
Land Use Types ◽  
Total P

This research carried out in Huong Vinh commune, Huong Tra town, Thua Thien Hue province aimed to identify types of land use and soil characteristics. Results showed that five crops are found in Huong Vinh commune including rice, peanut, sweet potato, cassava and vegetable. There are two major soil orders with four soil suborders classified by FAO in Huong Vinh commune including Fluvisols (Dystric Fluvisols<em>, </em>Gleyic Fluvisols and Cambic Fluvisols) and Arenosols (Haplic Arenosols). The results from soil analysis showed that three soil suborders including Dystric Fluvisols<em>, </em>Gleyic Fluvisols and Cambic Fluvisols belonging to Fluvisols were clay loam in texture, low pH, low in OC, total N, total P<sub>2</sub>O<sub>5</sub> and total K<sub>2</sub>O. Meanwhile, the Haplic Arenosols was loamy sand in texture, poor capacity to hold OC, total N, total P<sub>2</sub>O<sub>5</sub> and total K<sub>2</sub>O

scholarly journals Predicting Shifts in Land Suitability for Maize Cultivation Worldwide Due to Climate Change: A Modeling Approach

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 295
Author(s):  
Yuan Gao ◽  
Anyu Zhang ◽  
Yaojie Yue ◽  
Jing’ai Wang ◽  
Peng Su
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Large Scale ◽  
Land Suitability ◽  
Large Scale Assessment ◽  
Scale Assessment ◽  
Maize Cultivation ◽  
Large Scale Screening ◽  
Selection Of

Suitable land is an important prerequisite for crop cultivation and, given the prospect of climate change, it is essential to assess such suitability to minimize crop production risks and to ensure food security. Although a variety of methods to assess the suitability are available, a comprehensive, objective, and large-scale screening of environmental variables that influence the results—and therefore their accuracy—of these methods has rarely been explored. An approach to the selection of such variables is proposed and the criteria established for large-scale assessment of land, based on big data, for its suitability to maize (Zea mays L.) cultivation as a case study. The predicted suitability matched the past distribution of maize with an overall accuracy of 79% and a Kappa coefficient of 0.72. The land suitability for maize is likely to decrease markedly at low latitudes and even at mid latitudes. The total area suitable for maize globally and in most major maize-producing countries will decrease, the decrease being particularly steep in those regions optimally suited for maize at present. Compared with earlier research, the method proposed in the present paper is simple yet objective, comprehensive, and reliable for large-scale assessment. The findings of the study highlight the necessity of adopting relevant strategies to cope with the adverse impacts of climate change.

scholarly journals Selection of coffee progenies for resistance to nematode Meloidogyne paranaensis in infested area

2014 ◽  
Vol 14 (2) ◽  
pp. 94-101 ◽  
Author(s):  
Sonia Maria Lima Salgado ◽  
Juliana Costa de Rezende ◽  
José Airton Rodrigues Nunes
Keyword(s):  
Genetic Variability ◽  
Coffea Arabica ◽  
Mixed Model ◽  
High Rate ◽  
Germplasm Bank ◽  
Genotypic Association ◽  
Coffee Plants ◽  
Plagiotropic Branches ◽  
Mixed Model Methodology ◽  
Selection Of

The purpose of this study was to select Coffea arabica progenies for resistance to M. paranaensis in an infested coffee growing area using Henderson's mixed model methodology. Forty-one genotypes were selected at the Coffee Active Germplasm Bank of Minas Gerais, and evaluated in regard to stem diameter, number of plagiotropic branches, reaction to the nematode, and yield per plant. There was genetic variability among the genotypes studied for all the traits evaluated, and among the populations studied for yield and reaction to the nematode, indicating possibilities for obtaining genetic gains through selection in this population. There was high rate of genotypic association between all the traits studied. Coffee plants of Timor Hybrid UFV408-01 population, and F3 progenies derived from crossing Catuaí Vermelho and Amphillo MR 2161 were the most promising in the area infested by M. paranaensis.

Sign in / Sign up

Export Citation Format

Share Document