By canonical discriminant analysis, the content of protein (Wilk’

By canonical discriminant analysis, the content of protein (Wilk’s Lambda = 0.883, F = 7.946, P = 0.007), starch (Wilk’s

Lambda = 0.757, F = 19.281, P = 0.000), oil (Wilk’s Lambda = 0.980, F = 1.193, P = 0.279) and total polyphenol (Wilk’s Lambda = 0.827, F = 12.583, P = 0.001) explained that protein, starch and total polyphenol concentration are important traits in the discrimination of the two subgroups. The cluster yielded 90.3% agreement in identifications. However two varieties in subgroup1 were placed RG7204 nmr in Subgroup 2; and three varieties in Subgroup 2 were placed in Subgroup 1. If a specific variable exceeds the critical value in the Student’s t test (dashed vertical line, P = 0.05) then that variance contributed to the formation of a specific grouping ( Fig. 5). For Group 1, AZD1208 in vivo the concentration of starch and total polyphenol contributes more significantly than oil. Only protein had major significant contribution for Group 2. The four constituents all contributed to the formation of Group 3 ( Table 5). There were 81 samples sown in spring and 114 in winter. The protein content in spring sown crops (27.40 ± 1.41%) and in winter sown (27.34 ± 1.37%) were not significantly different (F = 2.046, P = 0.771). The starch content (43.19 ± 1.57%)

and total polyphenol (4.25 ± 1.16 mg g− 1) in spring sown crops was significantly higher (F = 0.020, P = 0.000; F = 14.109, P = 0.000) than that in winter sown (40.91 ± 1.54%, 3.62 ± 0.94 mg g− 1). The content of oil in winter sown crops (1.28 ± 0.32%) was significantly higher (F = 0.625, P = 0.00) than that in spring sown (1.10 ± 0.29%). These results demonstrated the basic accordance of the constituent features of the three Arachidonate 15-lipoxygenase groups with sowing date, i.e., Group 1 for winter sown, Group 2 for both winter and spring sown, and Group 3 for spring sown. Table 6 shows the correlations between geographical coordinates of producing areas and the principal constituents. The coefficients of correlation varied from − 0.414 to 0.587 (P < 0.01), and indicated that there was a relationship between some of the constituents and some

of the geographical coordinates of the production areas. Elevation was significantly correlated (P < 0.01) with all of the four constituents and coefficients of correlation were negative for protein and oil, but positive for starch and total polyphenol content. Latitude was positively correlated (P < 0.01) with the protein and starch content. Longitude showed low correlation only with the oil content. The results also suggested a certain consistency of the characteristics of contents changes with geographic coordinates in the three groups (e.g. Group 1 with low elevation, Group 2 with median elevation, and Group 3 with high elevation). Results of chemical analysis of components of faba bean were similar to those of previous publications (protein ranging 22.9% to 38.

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