scholarly journals Selection Strategy For The Beverage Sensory Characterization In A Large Arabica Coffee Germplasm Bank

2021 ◽  
Author(s):  
Denis H. S. Nadaleti ◽  
Juliana C. de R. Abrahão ◽  
Vinícius T. Andrade ◽  
Marcelo R. Malta ◽  
Cesar E. Botelho ◽  
...  
Keyword(s):  
Genetic Correlations ◽  
Selection Strategy ◽  
Germplasm Bank ◽  
Heritable Variation ◽  
Coffee Production ◽  
Breeding Programs ◽  
Original Population ◽  
Arabica Coffee ◽  
Specialty Coffee ◽  
Cultivation Environment

Abstract This study proposes a selection strategy to be applied to a large number of coffee accessions, which can be useful when exploring many genotypes in breeding programs for beverage quality. Over three consecutive years, 270 Arabica coffee accessions from the Germplasm Bank of Minas Gerais, Brazil, were sensorially characterized. At the end of this period, the 20 genotypes with the greatest potential for specialty coffee production were selected, which were subjected to a second sensory characterization. Additionally, we determined the genetic correlations between the attributes that make up the final beverage score. We did not identify an attribute that was more important than the others in the organoleptic performance of the studied accessions. Through the proposed method, we identified genetic variation in our original population and selected five accessions with beverage quality considered excellent according to the SCA classification. These accessions were planted in field conditions of highly specialized farms to study their interaction with the cultivation environment and to promote the increase in production of such coffees. Additionally, the five selected accessions are being used in crosses with elite cultivars create new segregating populations. We conclude that estimation of the heritable variation of each accession, the use over the years of common check cultivars with known performance, and extremely care of experimental precision in the entire processes warrant fair comparisons.

scholarly journals Resistance to nematode Meloidogyne paranaensis in Arabica coffee genotypes introgressed with Coffea liberica

2020 ◽  
pp. 1236-1241
Author(s):  
Gustavo H. Sera ◽  
Filipe G. Carvalho ◽  
Inês C. de B. Fonseca ◽  
Luciana H. Shigueoka ◽  
Santino A. da Silva ◽  
...  
Keyword(s):  
Germplasm Bank ◽  
Breeding Programs ◽  
Arabica Coffee ◽  
Randomized Design ◽  
Mother Plants ◽  
Completely Randomized Design ◽  
Set Up ◽  
Moderately Resistant ◽  
Reproduction Factor ◽  
Coffea Liberica

The aim of this study was to prove that Arabica coffee introgressed with C. liberica, have resistance to Meloidogyne paranaensis (Mp). Open pollinated fruits were harvested from mother plants of 29 Arabica coffee genotypes from the IAPAR germplasm bank. Seeds were collected from the fruits and were sown to obtain seedlings to test the resistance to Mp. The experiment was set up in a completely randomized design with 29 coffee genotypes, 8 replications, and one plant per plot. Cultivars Catuaí Vermelho IAC 99 and IPR 100 were used as susceptible and resistant checks, respectively. Seedlings with three to four pairs of leaves were inoculated with 1,400 eggs and juveniles J2 of Mp (IP). At 120 days after inoculation, seedlings were evaluated by counting the nematodes per gram of roots, and the final nematodes population was obtained (FP). The reproduction factor (RF) was calculated using the formula: RF = FP/IP. The reproduction factor reduction was used to classify the resistance levels of genotypes, which were classified as highly resistant (HR), resistant (R), moderately resistant (MR), moderately susceptible (MS), susceptible (S) an highly susceptible (HS). All genotypes differed from Catuaí in resistance factor (RF), five of which did not differ from IPR 100 for RF, and only the line IAPAR 15242 had RF < 1.0. Out of 28 Arabica genotypes introgressed with C. liberica, five HR, 11 R, 11 MR and one MS were identified. However, only IAPAR 15242 and IPR 100 were classified as HR and presented 100% of HR plants, but only the first showed an RF < 1.0. Results revealed that these Arabica coffee genotypes with introgression of C. liberica genes have great potential to be used in breeding programs and they are a new alternative as a source of resistance.

scholarly journals Evaluation of 3-Methylbutanoic Acid Methyl Ester as a Factor Influencing Flavor Cleanness in Arabica Specialty Coffee

2021 ◽  
Vol 11 (12) ◽  
pp. 5413
Author(s):  
Keiko Iwasa ◽  
Harumichi Seta ◽  
Yoshihide Matsuo ◽  
Koichi Nakahara
Keyword(s):  
Methyl Ester ◽  
Methyl Esters ◽  
Acid Methyl Ester ◽  
Chemical Compounds ◽  
Gas Chromatography Mass Spectrometry ◽  
Arabica Coffee ◽  
Acid Methyl ◽  
Coffee Brew ◽  
Coffee Beans ◽  
Specialty Coffee

This paper reports on the chemical compounds in arabica coffee beans with a high Specialty Coffee Association (SCA) cupping score, especially those in specialty coffee beans. We investigated the relationship between the chemical compounds and cupping scores by considering 16 types of Coffea arabica (arabica coffee) beans from Guatemala (SCA cupping score of 76.5–89.0 points). Non-targeted gas chromatography-mass spectrometry-based chemometric profiling indicated that specialty beans with a high cupping score contained considerable amounts of methyl-esterified compounds (MECs), including 3-methylbutanoic acid methyl ester (3-MBM), and other fatty acid methyl esters. The effect of MECs on flavor quality was verified by spiking the coffee brew with 3-MBM, which was the top-ranked component, as obtained through a regression model associated with cupping scores. Notably, 3-MBM was responsible for the fresh-fruity aroma and cleanness of the coffee brew. Although cleanness is a significant factor for specialty beans, the identification of compounds that contribute to cleanness has not been reported in previous research. The chemometric profiling approach coupled with spiking test validation will improve the identification and characterization of 3-MBM commonly found in arabica specialty beans. Therefore, 3-MBM, either alone or together with MECs, can be used as a marker in coffee production.

scholarly journals Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3971
Author(s):  
Gabriel Silva de Oliveira ◽  
José Marcato Junior ◽  
Caio Polidoro ◽  
Lucas Prado Osco ◽  
Henrique Siqueira ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Dry Matter ◽  
Pearson Correlation ◽  
Genetic Correlations ◽  
Remote Sensing Data ◽  
Breeding Program ◽  
Yield Traits ◽  
Dry Matter Yield ◽  
Breeding Programs ◽  
Ground Truth Data

Forage dry matter is the main source of nutrients in the diet of ruminant animals. Thus, this trait is evaluated in most forage breeding programs with the objective of increasing the yield. Novel solutions combining unmanned aerial vehicles (UAVs) and computer vision are crucial to increase the efficiency of forage breeding programs, to support high-throughput phenotyping (HTP), aiming to estimate parameters correlated to important traits. The main goal of this study was to propose a convolutional neural network (CNN) approach using UAV-RGB imagery to estimate dry matter yield traits in a guineagrass breeding program. For this, an experiment composed of 330 plots of full-sib families and checks conducted at Embrapa Beef Cattle, Brazil, was used. The image dataset was composed of images obtained with an RGB sensor embedded in a Phantom 4 PRO. The traits leaf dry matter yield (LDMY) and total dry matter yield (TDMY) were obtained by conventional agronomic methodology and considered as the ground-truth data. Different CNN architectures were analyzed, such as AlexNet, ResNeXt50, DarkNet53, and two networks proposed recently for related tasks named MaCNN and LF-CNN. Pretrained AlexNet and ResNeXt50 architectures were also studied. Ten-fold cross-validation was used for training and testing the model. Estimates of DMY traits by each CNN architecture were considered as new HTP traits to compare with real traits. Pearson correlation coefficient r between real and HTP traits ranged from 0.62 to 0.79 for LDMY and from 0.60 to 0.76 for TDMY; root square mean error (RSME) ranged from 286.24 to 366.93 kg·ha−1 for LDMY and from 413.07 to 506.56 kg·ha−1 for TDMY. All the CNNs generated heritable HTP traits, except LF-CNN for LDMY and AlexNet for TDMY. Genetic correlations between real and HTP traits were high but varied according to the CNN architecture. HTP trait from ResNeXt50 pretrained achieved the best results for indirect selection regardless of the dry matter trait. This demonstrates that CNNs with remote sensing data are highly promising for HTP for dry matter yield traits in forage breeding programs.

Genetic importance of fat and eye muscle depth in Merino breeding programs

2016 ◽  
Vol 56 (4) ◽  
pp. 690 ◽  
Author(s):  
D. J. Brown ◽  
A. A. Swan
Keyword(s):  
Carcass Traits ◽  
Genetic Correlations ◽  
Fibre Diameter ◽  
Economic Index ◽  
Parasite Resistance ◽  
Eye Muscle ◽  
Breeding Programs ◽  
Dual Purpose ◽  
Internal Parasite ◽  
Reproduction Traits

Australian Merino breeders have traditionally selected animals for breeding predominately on the basis of wool characteristics. Over recent decades, an increasing proportion of Merino breeders are interested in producing a ewe that can be used for prime-lamb production, but that also performs well for wool characteristics. Correlations between ultrasound carcass traits and other traits such as wool, internal parasite resistance and reproduction traits, are not very well known. The aims of this study were three-fold: (1) to estimate the genetic relationships between ultrasound carcass traits and wool, internal parasite resistance and reproduction traits, (2) to determine the value of recording ultrasound carcass traits in Merino breeding programs, and (3) to evaluate the impact of improving ewe genetic merit for fatness on their reproduction performance. Ultrasound fat and eye muscle depth had small to moderate genetic correlations with most traits, with positive correlations observed for bodyweight, fibre diameter, fibre curvature and reproduction, and negative correlations observed for fleece weight, fibre diameter coefficient of variation, worm egg count and breech wrinkle. As expected on the basis of these genetic correlations, estimated breeding values for fat depth of ewes had a positive association with their observed reproduction performance, but the effect explained only minimal variation in reproductive performance, and was extremely variable among flocks and years. A range of measurement scenarios was investigated for three standard MERINOSELECT indexes. Measuring fat and eye muscle depth resulted in 3%, 4% and 21% additional economic index gain for the fine, medium and dual purpose indexes, respectively, whereas measuring reproduction traits directly resulted in 17%, 27% and 45% additional gain in the economic index. Dual purpose index gains benefited more from measuring ultrasound carcass traits as it is the only index with a direct economic value placed on carcass traits. Measuring fat and eye muscle depth also resulted in a greater reduction in worm egg count. The results indicated that desirable genetic progress can be made in wool, ultrasound carcass, internal parasite resistance and number of lambs born and weaned simultaneously using multiple trait selection to account for the mix of favourable and unfavourable correlations between these traits. These results also demonstrated that the best method to maximise economic gain is to measure as many traits (or closely correlated traits) in the breeding objective as possible.

Social Entrepreneurship and Arabica Coffee Production in the Northern Philippines: Navigating Opportunities and Constraints

2021 ◽  
Vol 80 (1) ◽  
pp. 72-82
Author(s):  
B. Lynne Milgram
Keyword(s):  
Social Entrepreneurship ◽  
Private Investment ◽  
Social Entrepreneurs ◽  
Coffee Production ◽  
Arabica Coffee ◽  
Green Coffee Beans ◽  
Start Up ◽  
Alternative Approach ◽  
Coffee Beans ◽  
Private Government

Private, government, and corporate sectors increasingly seek to mitigate the precarious economic and environmental conditions their businesses have caused. Given the shortcomings of conventional approaches to achieve meaningful social change, social entrepreneurship has emerged as an alternative approach to answer this call. Combining business, private investment, and social movement models, social entrepreneurs work collaboratively with communities to augment peoples’ livelihood and their social security. This article draws on social entrepreneurship scholarship to analyze entrepreneurs’ initiatives in the northern Philippines’ emergent specialty Arabica coffee industry. I explore the extent to which entrepreneurs can operationalize opportunities and mitigate constraints as they expand from their small start-up premises while maintaining their social mandate. Given that current demand for premium green coffee beans outstrips supply, entrepreneurs may find themselves in competition with one another. This situation coupled with the Philippine government’s inability to secure peoples’ subsistence needs means that farmers may betray their allegiance to the entrepreneurs who supported them. I ask: do social entrepreneurs’ efforts simply alleviate symptoms rather than address root causes of inequality? Entrepreneurs’ efforts to date have led to positive industry outcomes; this suggests that pursuing such cross-sector advocacy can potentially curtail challenges to enterprise sustainability.

A critical techno-economic analysis of coffee processing utilizing a modern fermentation system: Implications for specialty coffee production

2021 ◽  
Vol 125 ◽  
pp. 14-21
Author(s):  
Antonio Irineudo Magalhães Júnior ◽  
Dão Pedro de Carvalho Neto ◽  
Gilberto Vinícius de Melo Pereira ◽  
Alexander da Silva Vale ◽  
Jesus David Coral Medina ◽  
...  
Keyword(s):  
Economic Analysis ◽  
Coffee Production ◽  
Fermentation System ◽  
Specialty Coffee

scholarly journals Model pengembangan ekonomi lokal (PEL) berbasis produktivitas kopi arabika spesialti di Kabupaten Simalungun

2019 ◽  
Author(s):  
Jef Rudiantho Saragih
Keyword(s):  
Net Income ◽  
Development Programs ◽  
Poverty Level ◽  
Arabica Coffee ◽  
Agriculture Sector ◽  
Specialty Coffee ◽  
Coffee Farm ◽  
Increase Productivity ◽  
And Control

Specialty arabica coffee productivity could be improved by land extensification, optimizing the use of family labor, increase cost of organic and chemicals fertilizer, land use (intercropping and/or multistrata), increase in the price of parchment, increase in premium coffee prices, increase in liquidity of financial of household farmer, an increase in the practice of coffee pruning, and control of coffee berry borer (CBB). The application of good agriculture practices (GAPs) can increase the quality of the coffee produced in the Simalungun highlands. Increased productivity and quality is very prospective in the LED based on specialty coffee, mainly farmers' net income and local employment indicator. As the acceleration factors to increase productivity and quality of specialty arabica coffee is necessary: (1) re-mapping the areas of unique production, including the revision of Kepmenhut 44/2005; and (2) introduce and implementation of selected development programs at the farm and the regional level. Specialty arabica coffee contributed by 3.27%; 5.99%; and 13.17o% in the regional income of Simalungun District, agriculture sector, and estate crop subsector, respectively. Base on indicators of absorption of local labor, specialty arabica coffee is able to contribute about 8.29,%; 14,47%; and 24,86%o in the total workforce, agriculture sector, and estates crop subsector. Specialty arabica coffee farm able to give a US$2.05 per capita per day, so it is able to reduce the poverty level in the rural region. It is recommended that the Simalungun local government adopt the model of LED specialty arabica coffee commodity-based.

scholarly journals Chemical compounds and sensory characteristics of Arabica coffee (Coffea arabica) as a novel specialty coffee from Sinjai Regency, Indonesia

Food Research ◽  
2021 ◽  
Vol 5 (S2) ◽  
pp. 107-112
Author(s):  
A. Assa ◽  
J.E. Loppies ◽  
A.N. Amalia ◽  
D. Indriana ◽  
Mamang ◽  
...  
Keyword(s):  
Sensory Quality ◽  
Reference Sample ◽  
Chemical Compounds ◽  
Brown Sugar ◽  
Arabica Coffee ◽  
Coffee Plantations ◽  
South Sulawesi ◽  
Coffee Beans ◽  
Specialty Coffee

Specialty coffee is generally found in areas with an altitude around 1000 meters above sea level (m a.s.l.) and is known to have a different distinctive flavor. One of the coffee plantations in South Sulawesi that has the potential to upgrade its status as a specialty coffee is the Sinjai regency. The sensory quality and chemical characteristics are the most important component of specialty coffee. The purpose of the study was to evaluate the chemical compounds and sensory quality in Manipi coffee beans in South Sulawesi, which has the potential to be classified as specialty coffee. The coffee cherries were collected from two locations based on different altitudes namely MA1 = 1200 m a.s.l. and MA2 = 1400 m a.s.l. The coffee cherries directly processed the wet method referring to Enrekang Arabica as a reference sample EA1 = 1200 m a.s.l. and EA2 = 1400 m a.s.l. The results showed that the chemical content and quality of sensory in Manipi Arabica coffee beans were affected by altitude. MA2 had the highest protein content (13.26%), lipid (7.67%), and caffeine (1.42%), whereas green arabica coffee beans with the highest carbohydrate content was MA1 (23.38%). The Enrekang Arabica were similar in terms of Manipi Arabica coffee beans had the highest protein, lipid, and caffeine content at an altitude of 1400 m a.s.l. respectively (12.41%), (10.73%), and (1.32%). The sensory quality of MA1 is 85.75, relatively similar to MA2 is 85.25. The Manipi Arabica coffee beans showed a specific flavor, namely brown sugar and vanilla notes from both altitudes. It had the potential to be developed into specialty coffee with a cup test score > 80.

scholarly journals The potential for income improvement and biodiversity conservation via specialty coffee in Ethiopia

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10621
Author(s):  
Pascale Schuit ◽  
Justin Moat ◽  
Tadesse Woldemariam Gole ◽  
Zeleke Kebebew Challa ◽  
Jeremy Torz ◽  
...  
Keyword(s):  
Biodiversity Conservation ◽  
Household Income ◽  
Forest Canopy ◽  
Forest Cover ◽  
Environmental Benefits ◽  
Unit Price ◽  
Coffee Production ◽  
Conversion Rates ◽  
Specialty Coffee ◽  
Coffee Farmers

The specialty coffee sector represents opportunities for coffee farmers and other actors due to increased value within the supply chain, driven by elevated consumer purchase prices. We investigated these relationships up to the export stage, as well as the potential for specialty coffee to improve stakeholder participation in biodiversity conservation. Household data was collected from a sample of 272 coffee farmers belonging to five primary cooperatives, in the heavily forested area of Yayu, in the Illubabor administrative zone of Oromia regional state in south-western Ethiopia, for the 2017/2018 harvest season. Qualitative and quantitative data, gathered between 2015 and 2019, from focus group discussions, was used to supplement the survey and to explain the empirical findings. We show that the income from coffee (and thus household income) can be increased, in some cases substantially, via participation in the specialty coffee market. The unit price for coffee was much higher than standard market prices and those including certification premiums. Whilst quality is a key factor for specialty coffee, income increases via the specialty market are caveat bound. In particular, there is a critical requirement for efficient and effective cooperative management, and we provide suggestions for improvements. In the long-term, more focus is needed to increase the financial and human capacities of Ethiopian coffee cooperatives, to make them more effective partners in the specialty coffee value chain. The high conversion rates from harvested to clean exportable specialty coffee (8:1, or higher) is identified as a major constraint on profitability. We show that specialty coffee can bring about positive environmental benefits. Elevating coffee prices and farm profitability to bring household income levels to around or above the global poverty line may ensure the continuation of forest coffee production, and thus the retention of forest. The increases in income via specialty coffee production, reported in the study, were achieved without increasing land use or the application of environmentally costly inputs. Moreover, analysis of satellite data shows that a large proportion of the coffee farms surveyed retain a level of forest cover and quality approaching primary (undisturbed) forest, and that the coffee production area at Yayu has not experienced any significant deforestation (since 2000). We recommend that coffee premiums linked to environmental benefit should demonstrate clearly defined and appropriate metrics, as we have demonstrated here for forest (canopy) quality and coverage (area).

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