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. 2018 Jan 18;13(1):e0191122.
doi: 10.1371/journal.pone.0191122. eCollection 2018.

Bio-fortification potential of global wild annual lentil core collection

Sandeep Kumar  1 , Anil Kumar Choudhary  2 , Kuldeep Singh Rana  2 , Ashutosh Sarker  3 , Mohar Singh  4
Affiliations

Bio-fortification potential of global wild annual lentil core collection

Sandeep Kumar et al. PLoS One. .

Abstract

Lentil, generally known as poor man's' meat due to its high protein value is also a good source of dietary fiber, antioxidants and vitamins along with fast cooking characteristics. It could be used globally as a staple food crop to eradicate hidden hunger, if this nutritionally rich crop is further enriched with essential minerals. This requires identification of essential mineral rich germplasm. So, in the present study, a core set of 96 wild accessions extracted from 405 global wild annual collections comprising different species was analyzed to determine its bio-fortification potential. Impressive variation (mg/100 g) was observed for different minerals including Na (30-318), K (138.29-1578), P (37.50-593.75), Ca (4.74-188.75), Mg (15-159), Fe (2.82-14.12), Zn (1.29-12.62), Cu (0.5-7.12), Mn (1.22-9.99), Mo (1.02-11.89), Ni (0.16-3.49), Pb (0.01-0.58), Cd (0-0.03), Co (0-0.63) and As (0-0.02). Hierarchical clustering revealed high intra- and inter-specific variability. Further, correlation study showed positive significant association among minerals and between minerals including agro-morphological traits. Accessions representation from Turkey and Syria had maximum variability for different minerals. Diversity analysis exhibited wide geographical variations across gene-pool in core set. Potential use of the identified trait-specific genetic resources could be initial genetic material, for genetic base broadening and biofortification of cultivated lentil.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Hierarchical clustering of 96 wild lentil accessions comprising core set based on mineral composition data.
Fig 2
Fig 2. PCA analysis—(2a) 2-D graph of first two principal components and (2b) various mineral elements contributing to the variability.
See this image and copyright information in PMC

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