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QUADRATIC POLYNOMIAL REGRESSION ANALYSIS OF SILICON AND CALCIUM FERTILIZER,QUICKLIME AND SULFUR POWDER ON SOYBEAN YIELDS(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2007年03期
Page:
351-354
Research Field:
Publishing date:

Info

Title:
QUADRATIC POLYNOMIAL REGRESSION ANALYSIS OF SILICON AND CALCIUM FERTILIZER,QUICKLIME AND SULFUR POWDER ON SOYBEAN YIELDS
Author(s):
LIN Wei-gangWU Jun-jiangDONG De-jianZHONG PengGUO Yu-hong
Soybean Institute of Heilongjiang Academy of Agricultural Sciences,Harbin,150086
Keywords:
Silicon & calcium fertilizerSulfur powderQuicklimeQuadratic regression polynomial analysis
PACS:
S565.1
DOI:
10.3969/j.issn.1000-9841.2007.03.013
Abstract:
Quadratic polynomial regression analysis of silicon and calcium fertilizer,quicklime and sulfur powder on soybean yields was given.The peak of sensitivity and soybean yields of sulfur powder were the highest,silicon and calcium fertilizer with the second best,and quicklime with the lowest.The interaction between silicon and calcium fertilizer and sulfur powder on soybean yields was significant at 0.01 level.Sulfur powder effected soybean yields most effectively.Under conditions of the study,sulphur powder should be at 14.0kg/hm2without quicklime and silicon and calcium fertilizer if soybean productivity≥3 000 kg/hm2,and sulphur powder should be at 43.0 kg/hm2without quicklime and silicon and calcium fertilizer if soybean productivity≥3 200 kg/hm2.

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Last Update: 2014-10-22