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Leaf analysis as a guide to the nutrition of fruit crops. I.—general principles, sampling techniques and analytical methods
Author(s) -
Bould C.,
Bradfield E. G.,
Clarke G. M.
Publication year - 1960
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.2740110501
Subject(s) - sampling (signal processing) , dry matter , mathematics , statistics , sampling error , coefficient of variation , sampling design , agronomy , biology , computer science , observational error , filter (signal processing) , computer vision , population , demography , sociology
Abstract The general principles of leaf analysis and the factors influencing leaf composition are reviewed briefly. Methods of leaf sampling, including a statistical analysis of the method used at Long Ashton, are described. The overall sampling error, expressed as the coefficient of variation, is of the order of 6%, of which about I‐2 occurs at the analytical stage. Analytical methods are given for determining total N, P, K, Ca and Mg in leaf dry matter.