Legume Genomics and Genetics 2015, Vol.6, No.2, 1-7
4
resource for further improvement of this crop for
enhancing its nutritional value.
3 Material and Methods
3.1 Plant material
The purified seed material of 51 genotypes of
common bean, collected from different locations of
Jammu & Kashmir, India were used in the present
study. The details for these genotypes are previously
described in Zargar et al. (2014).
3.2 Chemical analysis
Dry seeds (10~20) from each genotype were finely
powdered in a grinder. 250 mg of this powder was
cold digested in 5 mL concentrated nitric acid
over-night, followed by digestion in 5 ml of diacid
mixture containing nitric acid: perchloric acid, in 10:4
proportion (Jackson 1973). The resulting clear
solution was diluted to 25 mL using double distilled
water. The concentration of Fe and Zn was determined
using ICPOES (Thermo Fischer 600). The
concentration values were further converted and
expressed in mg100g
-1
using the following formula
Protein content was determined by using Lowry's
method (Lowry et al., 1951). 500 mg of powdered
sample was extracted in sodium buffer followed by
centrifugation (5000 rpm for 10 minutes). Protein
content was estimated by adding alkaline copper
sulphate and folin ciocalteau solution to the
supernatant. Absorbance was recorded at 660 nm
using UV visible spectrophotometer (UV-1601,
Shimadzu, Japan). Protein content was calculated and
expressed in percentage.
3.3 Statistical analysis
All the observations were taken in three replicates and
values were then averaged. One-way ANOVA was
applied to evaluate the variance of protein and mineral
contents (Fe & Zn) among the genotype. Paired-t test
was used to determine variance of Fe, Zn & protein
within the genotype. The Pearson’s correlation
coefficient between Fe, Zn, and protein was
determined by Pearson's correlation analysis using
SPSS (version 16).
Acknowledgement
SMZ is grateful to SERB, DST New Delhi for financial support
of this work (Project sanction order No. SR/FT/LS-27/2011)
.
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(mg)
Sample
of
Weight
100 ×
makeup
Volume
×
digested
Volume
×
PPM
Average
= 1-
mg100g
