Search

A new soil extractant (H3A-1) with the ability to extract ammonium (NH4) nitrogen (N), nitrate (NO3) N, and phosphorus (P) from soil was originally developed and tested against 32 soils (Haney et al. 2006). H3A-1 is composed of organic acid root exudates, which are naturally occurring, and lithium citrate. In this study, H3A-1 was modified to reduce the extractable iron and aluminum and improve the nutrient extracting relationships with other well-known soil extractants. Correlations show improved relationships with NO3, NH4, PO4, P, potassium, calcium, and zinc when compared to the original H3A-1 as well as standard soil-test methods [Olsen, potassium chloride (KCl), water, Mehlich 3, Bray 1, ammonium acetate (NH4 OAc), and diethylenetriaminepentaacetic acid (DTPA)]. The modifications were tested against the results from the North American Proficiency Testing (NAPT) database, which included 60 soils, varying in pH, organic carbon, and clay content. [ABSTRACT FROM AUTHOR]

Water quality experts have suggested that no-till induces phosphorus (P) stratification, which may exacerbate soluble P (SP) runoff from agricultural fields, contributing to eutrophication. Conservationists have been concerned about increased SP loading to Lake Erie, which has been partially blamed on adoption of no-till and the concomitant P stratification of no-till soils. This study was conducted to provide better insight into the potential link between P stratification from no-till soils and P losses via runoff with the objective of exploring P fertilization strategies on P stratification and P runoff from a corn (Zea mays L.)–soybean (Glycine max L.) rotation. Plots were established with nine treatments, including unfertilized, diammonium phosphate (DAP) applications, monoammonium phosphate (MAP) applications, surface applied, injecting fertilizer or tilling fertilizer in, and the use of cover crops. Fertilizer applications were made at 24.4 kg P ha−1 (21.8 lb P ac−1) every other year or at 9.6 kg P ha−1 (8.7 lb P ac−1) every year. Disking, which was intended to minimize P stratification, resulted in the greatest stratification, with significantly higher water SP and Mehlich 3 P in the 0 to 5 cm (0 to 2 in) soil layer compared to the other treatments. There were no differences in SP or total P (TP) runoff from rainfall simulations between fertilizer source (MAP versus DAP) or fertilizer rate (annual versus biennial). The highest SP concentrations observed were from DAP applied to cover crops at the high application rate (24.4 kg P ha−1 applied every other year). This may suggest cover crops are not the ideal practice to decrease SP losses from agricultural fields. Incorporation of fertilizer reduced SP but increased erosion and could potentially increase TP loss. Injecting liquid fertilizer (polyphosphate [Poly]) at the time of planting resulted in lower SP and TP loads than surface applied fertilizers. We encourage other researchers to confirm these results at the field-to-watershed scale to ensure there are not unintended consequences of adopting this fertilization strategy. Further, fertilizer dealers, crop consultants, and farmers should be encouraged to consider liquid fertilizer applications as one option to minimize P losses. [ABSTRACT FROM AUTHOR]

Conservation planners need simple yet accurate tools to predict sediment and nutrient losses from agricultural fields to guide conservation practice implementation and increase cost-effectiveness. The Texas Best Management Practice Evaluation Tool (TBET), which serves as an input/output interpreter and vastly simplified interface for the Soil and Water Assessment Tool (SWAT), was developed to predict mean annual runoff, sediment, nitrogen (N), and phosphorus (P) losses from agricultural fields in Texas under a variety of management scenarios and conservation practices. The Texas Best Management Practice Evaluation Tool was developed to provide a scientific basis for decision making, evaluation, and reporting in state and federal conservation programs. A rigorous, data-intensive calibration and validation process was employed in TBET development. First, hydrology outputs were calibrated with basin scale streamflow data from 20 US Geological Survey sites. Then, runoff, sediment, total N, and total P outputs were calibrated and validated with measured field scale data (260+ site years). Even without calibration,TBET was able to make "good" to "very good" predictions of mean annual runoff and total P losses according to commonly applied model evaluation methods. Calibrated TBET predictions of sediment and total N losses were not as accurate but were still "satisfactory." These much-improved results relative to those of often applied tools such as P Indices are very encouraging since the design goals of simple operation and accurate predictions for diverse Texas conditions with only readily available inputs were certainly met. Thus, TBET meets an important need by providing accurate, science-based estimates of conservation practice benefits at the field scale. [ABSTRACT FROM AUTHOR]

The size of the harmful algal blooms in western Lake Erie is strongly correlated with agricultural phosphorus (P) loading from tributaries. Despite farmers' efforts to reduce sediment-bound P loadings and fertilize using current guidance, the media and public have singled them out as the culprit in Lake Erie re-eutrophication. In this paper, two farmer surveys were used to evaluate if farmers in the Lake Erie region follow P fertilizer recommendations, and we also review historic and current P management guidance provided by the scientific community and agricultural industry. The majority (56% to 80%) of farmers apply P fertilizers at or below the current fertility recommendations. Wholesale agronomic changes (e.g., no-tillage adoption, crop cultivar advances, and fertilizer application and formulation) have occurred since current fertilizer recommendations were developed. Although crop P uptake mechanisms have not changed, these agronomic changes have altered P cycling in soil and water. Based on these results, it is time that the scientific community and agricultural industry acknowledge that our current guidance may be contributing to eutrophication. We must ask whether or not we have (1) developed appropriate fertility guidance, (2) developed and recommended appropriate practices to protect water quality, (3) adequately considered "the law of unintended consequences" in conservation recommendations, and (4) focused too much on short-term economic outcomes while disregarding environmental quality. Improved understanding, reconsideration of traditional recommendations, and wider farmer adoption of the most effective practices are needed to develop a sustainable agricultural system in the Western Lake Erie Basin that produces needed commodities while preserving ecosystem integrity. [ABSTRACT FROM AUTHOR]

Phosphorus (P) indices were developed to address nonpoint source P losses from agricultural fields; however, only limited information on P index performance at the field- and watershed-scale is available. Evaluation of P indices is necessary to provide the basis of modification and improvement of their usefulness as P management tools. In this study, the ability of the Texas P index to estimate P loss potential was evaluated by comparison with measured annual P loads over three years on four new pasture and six new cultivated litter application sites in the Texas Blackland Prairie. The Arkansas and Iowa P indices were also evaluated. The Texas and Iowa versions were able to provide reasonable estimates of P loss potential as illustrated with significant linear relationships (p <0.01) between P index values and measured annual P loads. In general, the P index values, Mehlich 3 soil test P, and poultry litter application rate were better correlated with dissolved P concentrations and loads (r² ranged from 0.12 to 0.91) than with total P and particulate P loads (r² ranged from 0.00-0.31). A major source of error in P index load estimations was their inability to capture variability in annual soil erosion. This source of error was dramatically reduced by using measured erosion instead of estimated annual average erosion (average r² values increased from 0.24 to 0.58). While these results illustrate a potential for the P Indices to make relative P loss assessments, research on incentives to prevent buildup of soil P levels, linkages between P levels in soils and receiving waters, and other important issues related to the use of P indices is warranted. [ABSTRACT FROM AUTHOR]