1987
DOI: 10.1017/s0021859600081703
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Reflexion and absorption of solar radiation by flowering canopies of oil-seed rape (Brassica napus L.)

Abstract: Flowers were present over a period of approximately 6 weeks in 12 varieties of oil-seed rape. A linear relationship was found between flower cover (maximum 74%) and photon reflectivity (400-700 nm) which increased from around 0-047 during vegetative growth to 0\195 for a canopy in full flower. Reflexion and absorption of photons by flowers reduced light available to the leaf canopy and immature pods. Spectral measurements indicate that flowering canopies reflect substantially more radiation and absorb less tha… Show more

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Cited by 42 publications
(22 citation statements)
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“…The reflection of incident PAR during flowering was proportional to the number of petals present per unit area, as suggested by Yates & Steven (1987). However, absorption of PAR by the floral canopy only had a significant effect on light penetration when the complete floral layer had formed.…”
Section: Discussionmentioning
confidence: 86%
“…The reflection of incident PAR during flowering was proportional to the number of petals present per unit area, as suggested by Yates & Steven (1987). However, absorption of PAR by the floral canopy only had a significant effect on light penetration when the complete floral layer had formed.…”
Section: Discussionmentioning
confidence: 86%
“…In Brassica species, mutants have been observed which show increased petals, reduced petals, or complete absence of petals (apetalous) (Singh, 1961a,b; Cours and Williams, 1977; Buzza, 1983; Lü and Fu, 1990; Fray et al, 1997). Apetalous genotypes may be more efficient in photosynthesis and reallocation of assimilates because the yellow petal layer of Brassica oilseed crops reflects a large part of the photosynthetically active radiation (Chapman et al, 1984; Yates and Steven, 1987; Mendham et al, 1991; Fray et al, 1996; Jiang and Becker, 2001a). Moreover, apetalous types may avoid some diseases, especially stem rot caused by Sclerotinia sclerotiorum (Lib.)…”
mentioning
confidence: 99%
“…Current challenges in using remote sensing and machine learning to identify crops include the availability of data of sufficient spectral, temporal and spatial resolution and the capacities to recognise field boundaries despite drop shadows and other confounding patterns when using self-organising maps (Kohonen, 2001). When satellites with suitable sampling frequency and the right sensors become available (e.g., yellow sensor with 570-590 nm wavelength (Yates & Steven, 1987) and weekly sampling given the likelihood of cloud cover, especially in England), our methods in conjunction with remote sensing data may, in the future, be developed to survey wide areas and to extend our understanding of the extent to which bee colonies are exposed to massflowering crops such as OSR.…”
Section: Discussionmentioning
confidence: 99%