Literature DB >> 21659091

Bee pollination and fruit set of Coffea arabica and C. canephora (Rubiaceae).

Alexandra-Maria Klein1, Ingolf Steffan-Dewenter, Teja Tscharntke.   

Abstract

Self-sterile Coffea canephora and self-fertile C. arabica are important cash crops in many tropical countries. We examined the relative importance of insect, wind, and spontaneous self-pollination and the degree of self-fertility of these two coffee species in 24 agroforestry coffee fields in Indonesia. In both species, open pollination and cross pollination by hand led to the highest fruit set. Wind pollination (including self-pollination) led to 16% lower fruit set than open pollination in C. canephora and to 12.3% lower fruit set in C. arabica. Self-pollinated flowers and unmanipulated controls achieved an extremely low fruit set of 10% or less in the self-sterile species, and of 60% and 48%, respectively in the self-fertile species. These results constitute experimental evidence that cross pollination by bees causes a significant increase in fruit set of not only the self-sterile, but also the self-fertile coffee species. The practical implication is that coffee yield may be improved by managing fields for increased flower visitation by bees.

Entities:  

Year:  2003        PMID: 21659091     DOI: 10.3732/ajb.90.1.153

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  12 in total

1.  Economic value of tropical forest to coffee production.

Authors:  Taylor H Ricketts; Gretchen C Daily; Paul R Ehrlich; Charles D Michener
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-11       Impact factor: 11.205

2.  Interactive effects among ecosystem services and management practices on crop production: pollination in coffee agroforestry systems.

Authors:  Virginie Boreux; Cheppudira G Kushalappa; Philippe Vaast; Jaboury Ghazoul
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-13       Impact factor: 11.205

3.  Fragmentation and management of Ethiopian moist evergreen forest drive compositional shifts of insect communities visiting wild Arabica coffee flowers.

Authors:  Gezahegn Berecha; Raf Aerts; Bart Muys; Olivier Honnay
Journal:  Environ Manage       Date:  2014-10-30       Impact factor: 3.266

4.  Interacting pest control and pollination services in coffee systems.

Authors:  Alejandra Martínez-Salinas; Adina Chain-Guadarrama; Natalia Aristizábal; Sergio Vilchez-Mendoza; Rolando Cerda; Taylor H Ricketts
Journal:  Proc Natl Acad Sci U S A       Date:  2022-04-04       Impact factor: 12.779

5.  Genetic variation and risks of introgression in the wild Coffea arabica gene pool in south-western Ethiopian montane rainforests.

Authors:  Raf Aerts; Gezahegn Berecha; Pieter Gijbels; Kitessa Hundera; Sabine Glabeke; Katrien Vandepitte; Bart Muys; Isabel Roldán-Ruiz; Olivier Honnay
Journal:  Evol Appl       Date:  2012-07-18       Impact factor: 5.183

6.  Succession influences wild bees in a temperate forest landscape: the value of early successional stages in naturally regenerated and planted forests.

Authors:  Hisatomo Taki; Isamu Okochi; Kimiko Okabe; Takenari Inoue; Hideaki Goto; Takeshi Matsumura; Shun'ichi Makino
Journal:  PLoS One       Date:  2013-02-15       Impact factor: 3.240

7.  Valuing insect pollination services with cost of replacement.

Authors:  Mike H Allsopp; Willem J de Lange; Ruan Veldtman
Journal:  PLoS One       Date:  2008-09-10       Impact factor: 3.240

8.  Flower volatiles, crop varieties and bee responses.

Authors:  Björn K Klatt; Carina Burmeister; Catrin Westphal; Teja Tscharntke; Maximilian von Fragstein; Maximillian von Fragstein
Journal:  PLoS One       Date:  2013-08-20       Impact factor: 3.240

9.  Bee pollination improves crop quality, shelf life and commercial value.

Authors:  Björn K Klatt; Andrea Holzschuh; Catrin Westphal; Yann Clough; Inga Smit; Elke Pawelzik; Teja Tscharntke
Journal:  Proc Biol Sci       Date:  2013-12-04       Impact factor: 5.349

Review 10.  Bioactive micronutrients in coffee: recent analytical approaches for characterization and quantification.

Authors:  Abdulmumin A Nuhu
Journal:  ISRN Nutr       Date:  2014-01-22
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