The influence of pollinator abundance on the dynamics and efficiency of pollination in agricultural Brassica napus: implications for landscape-scale gene dispersal.

Published online
11 Apr 2007
Content type
Journal article
Journal title
Journal of Applied Ecology
DOI
10.1111/j.1365-2664.2006.01219.x

Author(s)
Hayter, K. E. & Cresswell, J. E.
Contact email(s)
j.e.cresswell@ex.ac.uk

Publication language
English
Location
UK & England

Abstract

It is important to understand the pollination processes that generate landscape-scale gene dispersal in plants, particularly in crop plants with genetically modified (GM) varieties. In one such crop, Brassica napus, the situation is complicated by uncertainty over the relative importance of two pollen vectors, wind and insects. We investigated pollination in 2 fields of Brassica napus that bloomed at different times of year (April vs. July) and attracted different abundances of foraging social bees. Rates of pollen transfer were quantified by counting the pollen grains deposited on stigmas and remaining in the anthers at intervals after flower opening. Flowers open in April were adequately pollinated only after 5 days and only 10% received even a single bee visit. Flowers open in July received 3 bee visits per hour and were fully pollinated within 3 h. Based on published measurements of airborne pollen dispersal, it was estimated that wind pollination from a hypothetical field 1 km distant could have fertilized up to 0.3% of the field's seed when bees were scarce in April but only up to 0.007% when bees were abundant in July. The efficiency of pollination (the proportion of pollen released from anthers that landed on receptive stigmas) was 7 times greater in July (1.5%) than in April (0.2%). The relatively high efficiency of insect pollination may help to explain the evolutionary maintenance of entomophily. Thesse results begin to resolve a long-standing inconsistency among previous studies by suggesting that the susceptibility of fields of B. napus to long distance cross-pollination by wind depends on the level of bee activity. Models for predicting GM gene flow at the landscape-scale in this crop should take this into account.

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