Abstract

Increased demand for soybean [Glycine max (L.) Merrill] production for industrial, human, and animal consumption has provided many incentives for farmers and producers to increase their production. In many soils used for soybean production, phosphorus (P) becomes a major limiting factor to soybean growth and grain production. A field experiment was conducted in five locations across Eastern South Dakota in 2013 to study the response of soybean yield and yield components to phosphorus fertilizer applications. The experiment was laid out in a randomized complete block (RCB) design with four replications. The treatments consisted of five P levels 0, 20, 40, 60, and 80lb/ac of triple superphosphate. Data for yield and yield components were collect and analyzed with several statistical methods including linear mixed model approaches and Additive Model and Multiplicative Interaction effect (AMMI) methods. There was no evidence showing that P had significant impacts on grain yield and yield components. P by environment (PE) interactions were not significant for all traits except whole pod weight. Large variation in yield and yield components were attributed to environmental conditions. Plant height, 100-pod weight, and seed weight of 100- pod had positive and significant correlations with yield in three locations; Geddes, Mitchell, and Bancroft.

Keywords

Soybean, Phosphorus, AMMI, component, linear mixed model, variance components, MINQUE

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Apr 27th, 9:05 AM

RESPONSE OF SOYBEAN YIELD AND YIELD COMPONENTS TO PHOSPHORUS FERTILIZATION IN SOUTH DAKOTA

Increased demand for soybean [Glycine max (L.) Merrill] production for industrial, human, and animal consumption has provided many incentives for farmers and producers to increase their production. In many soils used for soybean production, phosphorus (P) becomes a major limiting factor to soybean growth and grain production. A field experiment was conducted in five locations across Eastern South Dakota in 2013 to study the response of soybean yield and yield components to phosphorus fertilizer applications. The experiment was laid out in a randomized complete block (RCB) design with four replications. The treatments consisted of five P levels 0, 20, 40, 60, and 80lb/ac of triple superphosphate. Data for yield and yield components were collect and analyzed with several statistical methods including linear mixed model approaches and Additive Model and Multiplicative Interaction effect (AMMI) methods. There was no evidence showing that P had significant impacts on grain yield and yield components. P by environment (PE) interactions were not significant for all traits except whole pod weight. Large variation in yield and yield components were attributed to environmental conditions. Plant height, 100-pod weight, and seed weight of 100- pod had positive and significant correlations with yield in three locations; Geddes, Mitchell, and Bancroft.