ISSN 2284-7995, ISSN Online 2285-3952
 

OPTIMIZATION OF WHEAT FERTILIZATION IN RELATION TO CERTAIN QUALITY INDICES

Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 21 ISSUE 2
Written by Gabriela MACRA, Florin SALA

The study evaluated the variation of some wheat quality indices in order to optimize the mineral fertilization with nitrogen and with the Super Fifty foliar biostimulator. Nitrogen (N) was applied in doses between 0 - 200 kg ha-1 , in five variants (N0, N50, N100, N150 and N200). Super Fifty foliar biostimulator (SF) was applied on each level of nitrogen fertilization in six concentrations, between 0 - 5 L ha-1 (SF0, SF1, SF2, SF3, SF4, SF5). The Alex wheat cultivar was cultivated under conditions of cambic chernozem soil, with medium fertility. The values of the quality indices of wheat grains, gluten (Glt), starch (ST) and Zeleny Index (Zel) were evaluated. Gluten content (Glt) ranged from 20.33 to 32.93 ± 0.78%. The starch (ST) content varied between 65.99 - 69.93 ± 0.21% and the Zeleny Index recorded values between 36.58 - 77.23 ± 2.56 units. Very strong positive correlations were recorded between the Super Fifty foliar biostimulator (SF) and gluten (Glt) on the N50 fertilization level (r = 0.964), on the N100 fertilization level (r = 0.909) and on the N150 fertilization level (r = 0.923). Strong positive correlations were recorded between the Super Fifty foliar biostimulator (SF) and the Zeleny index (Zel) on the N50 fertilization level (r = 0.893), and on the N100 fertilization level (r = 0.888). From the regression analysis were obtained equations that described the variation of quality indices in relation to N and SF, in conditions of statistical safety (R2 = 0.963, p<0.001, F = 129.793 for Glt; R2 = 0.918, p <0.001, F = 56.31099 for ST; R2 = 0.975, p <0.001, F = 202.4062 for Zel). The optimal doses were calculated for N and SF in relation to the quality indices studied.

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© 2019 To be cited: Scientific Papers. Series “Management, Economic Engineering in Agriculture and Rural Development“.

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