2019
DOI: 10.5219/1096
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Characterization of fruit trees pollen

Abstract: One of the options to determine botanical origin of trees or honey is the analysis of pollen grains. The characteristics of pollen grains in Czech flora has not been sufficiently described yet. Within this work, fruit trees pollen of Czech origin was characterized on the basis of morphological and spectral description of pollen grains produced by fruit species of M. domestica, P. armenica, P. persica, P. domestica, P. avium and P. cerasus. The morphological characterization results of the studied fruit species… Show more

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Cited by 4 publications
(5 citation statements)
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“…Our results confirmed that these descriptors can be used for classification and they show slight differences between individual microscopic methods. Feret diameter is also confirmed in literature as a relevant descriptor for pollen classification by DF [ 51 ] and by BF [ 5 ]. P/E ratio is commonly used for pollen description, where P stands for polar diameter and E stands for equatorial diameter.…”
Section: Resultsmentioning
confidence: 53%
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“…Our results confirmed that these descriptors can be used for classification and they show slight differences between individual microscopic methods. Feret diameter is also confirmed in literature as a relevant descriptor for pollen classification by DF [ 51 ] and by BF [ 5 ]. P/E ratio is commonly used for pollen description, where P stands for polar diameter and E stands for equatorial diameter.…”
Section: Resultsmentioning
confidence: 53%
“…Shape characteristics are used to describe the geometric parameters of an object and are determined by a simplified mathematical model. For pollen grain discrimination, they represent an important parameter, both, for human evaluation [ 33 ] as well as for automatic systems [ 5 , 19 ].…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Previously, the pollen of some varieties of M. domestica Borkhausen was identified by some authors in America (Fogle, 1977a, b), New Zealand (Currie et al, 1997), Iran (Joneghani, 2008), Slovakia (Motyleva et al, 2017), Russia (Motyleva et al, 2018), Czech Republic (Pospiech et al, 2019).…”
Section: Quantitativementioning
confidence: 99%