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Generalization of Yield Equations in Two or More Variables: II. Application to Yield Data 1
Author(s) -
Jensen Don,
Pesek John
Publication year - 1959
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj1959.00021962005100050004x
Subject(s) - mathematics , generalization , yield (engineering) , range (aeronautics) , quadratic equation , variable (mathematics) , similarity (geometry) , function (biology) , statistics , simultaneous equations , independent equation , fertilizer , mathematical analysis , differential equation , agronomy , computer science , physics , geometry , thermodynamics , materials science , image (mathematics) , artificial intelligence , evolutionary biology , biology , composite material
Synopsis Restrictive two‐variable quadratic equations defining yield as a function of fertilizer inputs for a given soil fertility level were generalized to forms allowing prediction over a range of initial fertility conditions. Coefficients of equations so generalized from separate restrictive equations were found to estimate parameters of the same equation characteristic of a given soil type. Conclusions were based upon results of statistical methods applied to test the similarity of corresponding coefficients of two and three equations.