MOLECULAR AND CHEMO PROFILING OF GINGER (Zingiber officinale Rosc.) GENOTYPES
Loading...
Date
2018-07
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Horticultural Sciences, Bagalkot. (College of Horticulture, Bengaluru)
Abstract
Studies on Molecular and chemo profiling of ginger (Zingiber officinale Rosc.) genotypes were carried out during 2016-17 and 2017-18 at ICAR-Indian Institute of Spices Research, Kozhikode and ICAR-IISR, Experimental Farm, Peruvannamuzhi, to know the morphological, biochemical and molecular diversity among 28 ginger genotypes, 1 Curcuma sp. and 1 Kaempferia sp. Among the 28 genotypes studied, highest projected yield was recorded in genotype Maran (17.71 t/ha) followed by Acc. 247 (16.33 t/ha) and Himachal (16.06 t/ha). Growth and yield parameters viz., number of tillers per clump, total number of leaves, yield per plant, essential oil, oleoresin and crude fibre content exhibited high heritability coupled with high genetic advance as per cent mean which can be the reliable selection parameters for ginger crop improvement. Grouping of genotypes based on DUS descriptors showed narrow variability for most of the morphological characters, whereas rhizome characters exhibited remarkable variability. Chemical profiling showed that, Red ginger had the highest oleoresin and essential oil percentage of 12.18 % and 6.00 %, respectively. Among other ginger genotypes, Arunachal Pradesh local (8.55 %), Rio de Janeiro (7.77 %) and Acc. 65 (7.10 %) revealed high oleoresin content and genotype Arunachal Pradesh local had higher oil content (3.00 %). Zingiberene was the major component present in the essential oil of ginger genotypes and the highest content was observed in cultivar ‘Maran’. Molecular profiling of ginger genotypes by RAPD and SSR primers revealed that, the markers were efficient in clustering the other species viz., mango ginger and black ginger but, in case of ginger genotypes irrespective of place of collection or origin, genotypes were grouped into different clusters. Grouping was not on the basis of any morphological, yield or biochemical characters. Identification of SNPs using comparative transcriptome was carried out that can be further utilized to identify the genotype specific markers.