Apparent nitrogen limitation of Robusta coffee yields in young agroforestry systems

Agroforestry systems, with products in the form of robusta coffee, can increase income and environmental sustainability. The research objective is to find out the robusta coffee marketing channel. Retrieval of data through interviews with actors or institutions involved, observation, and documentation studies. The data obtained were analyzed descriptively qualitatively about the structure, behavior, and market channels. The results of the study indicate that there are several marketing institutions, namely: farmers, collectors, wholesalers, retailers, and cooperatives. In addition, there are three channels of robusta coffee marketing, namely: (1) farmers to collectors, then wholesalers and retailers, (2) farmers to cooperatives, then retailers, and (3) farmers to cooperatives. The most efficient channel is the third channel, but most farmers choose to sell their coffee to the first channel. This is because of the closer distance to the collecting traders, the lending of money given to farmers by collecting traders, and the absence of special treatment for coffee sold. The market structure formed in coffee marketing is the oligopsonist market, where the price of coffee is determined by large traders. The capacity of cooperatives should be improved by the government in order to compete with collectors, wholesalers, and retailers.

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Analysis of Robusta coffee cultivated in agroforestry systems (AFS) by ESI-FT-ICR MS and portable NIR associated with sensory analysis

Journal of Food Composition and Analysis ◽

10.1016/j.jfca.2020.103637 ◽

2020 ◽

Vol 94 ◽

pp. 103637

Author(s):

Radigya M. Correia ◽

Renato Andrade ◽

Flávia Tosato ◽

Mariana T. Nascimento ◽

Lucas L. Pereira ◽

...

Keyword(s):

Sensory Analysis ◽

Agroforestry Systems ◽

Robusta Coffee ◽

Ft Icr Ms ◽

Ft Icr

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Characterising the Coffee-Banana Agroforestry Systems: an Entry Point for Promoting Coffee and Banana Growing in mid-Northern Uganda

Uganda Journal of Agricultural Sciences ◽

10.4314/ujas.v18i2.5 ◽

2018 ◽

Vol 18 (2) ◽

pp. 111-121

Author(s):

Godfrey H. Kagezi ◽

P. Kucel ◽

J. Kobusinge ◽

L. L. Nakibuule ◽

F. Akwatulira ◽

...

Keyword(s):

Cover Crops ◽

Fruit Trees ◽

Agroforestry Systems ◽

Black Sigatoka ◽

Shrub Species ◽

Pests And Diseases ◽

Pest Damage ◽

Robusta Coffee ◽

Coffee Leaf Rust ◽

The Right

This study was conducted in the mid-Northern Ugandan districts of Nwoya, Gulu, Lira, Apach and Oyam to characterise the coffee-banana agroforestry systems. Thirty fields with coffee-banana agroforestry systems were selected and the level of field and crop management determined. Additionally, five coffee and banana plants were randomly selected and assessed for pests and diseases. All fields had Robusta coffee type whereas cooking bananas were the dominant clone (45%). Field management was limited. More than 80% of the fields had no bands, trenches or cover-crops. Most of the fields were lowly weeded (46.7%) and mulched (60%). Intercropping was low with 20% having maize or cassava. Similarly, most fields were lowly inter-planted with trees (40%) with only 28 tree/shrub species and dominated by fruit trees; namely oranges (70%), mangoes (63.3%) and pawpaw (56.7%) of the total number of tree species observed in the systems. Generally, 40% of coffee fields had not been de-suckered, pruned or changed cycle. However, at least 35% of the coffee fields were highly pruned and their cycle changed. For bananas, more than 70% of the fields were not de-suckered, propped or their corms removed, but 63% of them had been de-leafed and de-budded at a low to moderate level. Leaf skeletonisers and coffee leaf rust were the most observed pest (77.3%) and disease (15.3%) respectively. Pest damage was limited in bananas, though black Sigatoka was the commonest disease observed (56%). It is concluded that the region has embraced the systems but there is need for farmers to be provided with the right species of coffee, banana and trees.Keywords: Agroforestry-systems, cooking-bananas, Robusta-coffee.

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