Cover Crop Effect on Phosphorus and Potassium Fertilizer Recommendations for Soybean

Research was funded by the United Soybean Board

Nutifafa Adotey, Assistant Professor and Soil and Nutrient Specialist, Xinhua (Frank) Yin, Professor & Cropping System Scientist, Robert Florence, Director Soil, Plant and Pest Center, University of Tennessee

Introduction

This proposal aligns with USB’s strategic plan to improve plant nutrition by utilizing the tools necessary to produce a healthier, more resilient plant. This proposal aims to improve the reliability of phosphorus (P) potassium (K) fertilizer recommendations with emerging climate-smart agriculture production systems to help growers adapt to extreme weather conditions. Soil testing ensure proper plant nutrition, enhanced soil productivity, and profitability with minimal environmental impact on the ecosystem. Most of the current recommendations are generated from outdated agricultural production systems. There is limited information on P and K fertilizer recommendations for soybean systems that use cover crops, which has emerged as an important approach to improve soil health and build resilience for climate-smart agricultural production. In Tennessee, P and K fertilizer recommendations are based on Mehlich I extraction. However, most growers/crop consultants send samples to laboratories that use Mehlich III extractions. So, a calibration for Mehlich III was established for West Tennessee soils. Appropriate calibration would prevent under or over application of P and K fertilizers and enhanced profitability of the fertilizer applications.  Soybean producers participating in NRCS’ Conservation Reserve Program rely on the University of Tennessee fertilizer recommendations in their production system. Image-based canopy sensing detects the real-time performance of plants. Previous work conducted in Kentucky suggests the normalized difference vegetative index can detect P and K soybean nutrient deficiencies. However, there is limited information on the use sensors to detect P and K soybean nutrient deficiencies. To address these challenges, we proposed to (1) evaluate soil test correlation and calibration from P and K fertility trials for soybean production systems with cover crops.

 

Materials and Method

Nine replicated small plot work was conducted in Tennessee (8 trials) in fields with different soil test P (STP) or soil test K (STK). The trials consist of 5 K rate trials and four P rate trial. All trial was set up as a randomized complete block design with 6 rates of P (0, 20, 40, 60, 80, and 120 lb P2O5 per acre using Triple Superphosphate (TSP)) and K (0, 40, 80, 120, 160, and 200 lb K2O per acre as Potasium Chloride (KCl)) with four replications (n = 28 for each nutrient). The STP and STK are reported Table 1 and 2, respectively. Experimental plots were 4 rows wide by 30 feet long. Preplant soil samples were collected from individual plots from each trial at 0-6 inches and analyzed for soil pH, Mehlich I and Mehlich III extractable elements. In Tennessee, trials were managed in no-till fields with corn-soybean rotation and established in wheat cover crop except for one trial. This trial serves as a control to compare the responses with and without cover crop. In-season above ground samples were collected for total nutrient concentration to estimate total P and K uptake. Also, trifoliate leaf sampling to monitor nutritional status (between V6 and R1). In addition to the midseason tissue samples, soil samples were collected from individual plots from each trial at 0-6 inches and analyzed for soil pH, Mehlich I and Mehlich III extractable elements. This information was used to evaluate the relationship between extractants and P& K uptake. At maturity, the central two-rows plots were harvested for yield at each of the location. A linear and quadratic-plateau regression was used to estimate the optimum P and K rates required to attain the relative maximum grain yield at each location. 

 

Results and Discussion

 

Further reading