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Schriften zu Genetischen Ressourcen - Genres

Schriften zu Genetischen Ressourcen - Genres

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Morphological characters in garlic compared with existing molecular classifications<br />

Fig. 1 a-c: Examples for characters used in morphological descriptions of garlic<br />

accessions<br />

a: scape; b: PRB/PRFL; c: BSTR<br />

The following 16 descriptors have been used for this study:<br />

BSTR bulb structure type (Fig. 1c) PD pseudostem diameter<br />

BW bulbil weight PH pseudostem height<br />

CC skin colour of the cloves PRB presence of bulbils (Fig. 1b)<br />

HM harvest maturity PRFL presence of flowers (Fig. 1b)<br />

FA foliage attitude SCAPE ability to form scapes (Fig. 1a)<br />

FC foliage colour SHSV side view shape of the compound bulb<br />

NRC number of cloves per bulb SHTV top view shape of full-grown bulbs<br />

OC outer skin colour of the bulb SZC size of the cloves<br />

For precise characterisation, the cloves were planted in field plots with planting distances<br />

of 15 cm within the lines and 62 cm between the rows. Of each accession 40<br />

cloves were planted in the first year. For the repeated characterisation 10 cloves per<br />

accession were used in the next year. All characterisation data have been arranged<br />

in scores of 2 to 6 classes.<br />

Results and discussion<br />

The characterisation of the accessions in two successive years demonstrated similar<br />

results concerning the main characterisation parameters such as ability to produce<br />

scape, presence of bulbils and flowers, number of cloves, pseudostem height and<br />

bulb structure. Intra-clonal variability has been found in the character “Ability to produce<br />

scape” especially in the short-stalked forms. In this case, this character varied<br />

from scapes sitting only inside the bulb to the break of the bulbils through the leaf<br />

sheaths of the pseudostem in various heights from the soil level up to the end of the<br />

pseudostem. The characterisation data were used for principal components (Tables<br />

1, 2) and cluster analyses.<br />

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