Results 61 to 70 of about 5,726 (147)

Genomic insights into population structure and predictive breeding for climate-resilient coffee

Heredity
Climate change poses a growing threat to global coffee production, particularly for Coffea arabica, the most widely cultivated species. Coffea canephora (Robusta), with greater tolerance to heat and environmental stress, represents a critical genetic resource for sustaining future supply.
N’Da. Desire Pokou, Kossia Manzan Karine Gba, Hyacinthe Legnate, Matheus M. Suela, Christophe Montagnon, Luis Felipe V. Ferrão   +5 more
openaire   +3 more sources

Breeding tools for durable resistance to nematodes (Meloidogyne spp.) of coffee varieties [PDF]

Plant Protection Science, 2002
Coffee is one of the world's largest traded commodities, produced in over 60 countries. Root-knot nematodes (Meloidogyne spp.) have become a major threat in all major coffee-growing areas. So far, more than fifteen species of Meloidogyne have been reported as pathogens of coffee (Coffea arabica L.). Nematocide treatments are only effective in the short
openaire   +2 more sources

Breeding Programs Against Coffee Leaf Rust in Brazil: A Review

Journal of Agricultural Science
Leaf rust caused by Hemileia vastatrix Berk & Br. is the main disease that attack coffee plants all over the world. The disease causes 35-50% of yield loss in average in Brazil. The disease is present in all the countries that cultivate coffee (Coffea arabica L. and C. canephora L.).
Laércio Zambolim, Eveline T. Caixeta, Oliveiro Guerreiro Filho, Gustavo H. Sera, Tumoro Sera, Antonio A. Pereira, Antônio C. B. de Oliveira, Abraão C. Verdin Filho, Carlos H. de Carvalho, André R. Ramalho   +9 more
openaire   +1 more source

Typology of Cocoa Seedlings Derived from Orthotropic and Plagiotropic Cuttings Compared with Grafting and Hybrid Seeds

Caraka Tani: Journal of Sustainable Agriculture
Cocoa derived from cuttings is expected to overcome the limitations of grafting and hybrid seed propagation. This study aimed to determine the typology of cocoa seedlings derived from cutting, grafting, and hybrid seeds and the similarity among ...
Teguh Iman Santoso, Endang Sulistyaningsih, Eka Tarwaca Susila Putra, Agung Wahyu Susilo   +3 more
doaj   +1 more source

Rapid Analysis of Caffeine, Protein and Trigonelline in Ugandan Arabica Coffee Using NIRS and Machine Learning Algorithms

Plants
Coffee is a major export earner for Uganda, raking in over USD 2 billion in 2025. The global price of coffee is tagged to the perceived quality in the cup which in turn is affected by the chemical composition of the green bean.
Joseph Mbihayeimaana, Jimcall Pfumorodze, Ephraim Nuwamanya, Godfrey Sseremba, Vincent Kyaligonza, Paula Iragaba, Michael Kanaabi, James Madzimure   +7 more
doaj   +1 more source

New and efficient AS-PCR molecular marker for selection of coffee resistant to coffee leaf rust

Crop Breeding and Applied Biotechnology
Coffee leaf rust, caused by Hemileia vastatrix, is the most important disease affecting Coffea arabica. The use of molecular markers through marker-assisted selection (MAS) is an effective approach to develop cultivars with multiple and durable ...
Dênia Pires de Almeida, Deisy Guimarães Carneiro, Eveline Teixeira Caixeta, Danúbia Rodrigues Alves, Laércio Zambolim   +4 more
doaj  

Intraspecific drought tolerance in Ugandan Coffea canephora for accelerated breeding selection. [PDF]

PLoS One
Ali M, Mukasa SB, Poncet V, Sseremba G, Marraccini P, Musoli P, Bitalo DN, Etienne H, Ssemakula MO, Kanaabi M, Chelangat DM, Fabre D, Nakanwagi MJ, Léran S, Tusiimire A, Aryatwijuka N, Musinguzi Q, Arinaitwe G, Delahaie B, Gonin M.   +19 more
europepmc   +1 more source

Genetic improvement of robusta coffee (<i>Coffea canephora</i>) in the 20th and 21st centuries: prospects for increasing future breeding effectiveness and impact. [PDF]

Front Plant Sci
Kawuki R, Akpertey A, Barrera S, Berny Mier Y Teran JC, Devasia J, Kraft K, Akbar MR, Shivalingu BR, Sseremba G, Teixeira A, Rocha RB, Ha PV, Wibowo A, Humphrey T.   +13 more
europepmc   +1 more source

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in <i>Coffea canephora</i>. [PDF]

Front Plant Sci
Campanharo A, Gonçalves Júnior DH, Daros M, da Cruz LM, Marques I, de Oliveira RR, Partelli FL.   +6 more
europepmc   +1 more source

Why is vascular dysfunction an important target for reducing alternate bearing in <i>Coffea arabica</i>? [PDF]

Front Plant Sci
Gonçalves TC, Tarazi R.
europepmc   +1 more source