Open AccessRegression Analysis of Soil Chemical Composition for Two Shrimp Farms in Texas
Author(s) -
Ritvo Gad,
Speed F. Michael,
Neill William H.,
Dixon Joe B.,
Lawrence Addison L.,
Samocha Tzachi M.
Publication year - 1999
Publication title -
journal of the world aquaculture society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.655
H-Index - 60
eISSN - 1749-7345
pISSN - 0893-8849
DOI - 10.1111/j.1749-7345.1999.tb00314.x
Subject(s) - shrimp , biology , organic matter , yield (engineering) , nutrient , stepwise regression , composition (language) , zoology , agronomy , fishery , ecology , mathematics , materials science , metallurgy , linguistics , statistics , philosophy
. Several nutrients, pH, organic matter, and total soluble salts of surface soil from 81 ponds on two Texas shrimp farms were measured. The relationship between shrimp yield and soil characteristics was analyzed statistically. Shrimp yield was negatively correlated with soil concentrations of S, P, NO 3 ‐ , B, Ca, Mg, K, Na, Cu, and total water‐soluble salts. Shrimp yield was directly correlated with soil concentrations of Fe, Mn, and organic matter. Stepwise multiple regression analysis indicated that Ca and S concentrations explained 54% of the variation in shrimp yield.