TY - GEN
T1 - USE OF MULTIPLE REGRESSION ANALYSIS AND LINEAR EQUATIONS TO PREDICT SOIL PRODUCTIVITY.
AU - Olson, Kenneth R
PY - 1985
Y1 - 1985
N2 - A systematic method was developed, supported by actual yield measurements to rank soils based on their productivity. Soil productivity functions in the form of linear equations with coefficients generated from multiple regression analyses were developed from experimental research plot areas. Hay yields under a high level of management were collected along with climate data. The soils at each of the eight plot areas were mapped, described, sampled, characterized, classified, and interpreted. Five parameters were identified which account for 56% of the yield variation. In descending order of significance, these factors were: (1) rainfall-soil storage, (2) effective drainage class, (3) organic carbon, (4) temperature, and (5) sum of bases. For most soils in the study, soil erosion would result in a significant reduction in water storage capacity and in a lower organic carbon content which reduces hay yields and soil productivity. (Author abstract. )
AB - A systematic method was developed, supported by actual yield measurements to rank soils based on their productivity. Soil productivity functions in the form of linear equations with coefficients generated from multiple regression analyses were developed from experimental research plot areas. Hay yields under a high level of management were collected along with climate data. The soils at each of the eight plot areas were mapped, described, sampled, characterized, classified, and interpreted. Five parameters were identified which account for 56% of the yield variation. In descending order of significance, these factors were: (1) rainfall-soil storage, (2) effective drainage class, (3) organic carbon, (4) temperature, and (5) sum of bases. For most soils in the study, soil erosion would result in a significant reduction in water storage capacity and in a lower organic carbon content which reduces hay yields and soil productivity. (Author abstract. )
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M3 - Conference contribution
AN - SCOPUS:0021975168
SN - 0916150690
T3 - ASAE Publication
SP - 279
BT - ASAE Publication
PB - ASAE
ER -