Cornell Cropware: Decision Support Tool for Fertilizer and Manure Nutrient Management Planning

Ketterings, Quirine M.; Albrecht, Greg; Rasmussen, Caroline Nowak; Czymmek, Karl

doi:10.2134/jnrlse2006.0140

Cited by 8 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All planners used software that incorporated the NY‐PI assessment to facilitate the assessments. All SWCD and the New York City Watershed planner, as well as five of the private sector planners used Cornell Cropware, a software program designed to integrate information on soils, crop nutrient requirements, the quantity and nutrient content of manure, and the NY‐PI and the nitrate leaching index (Ketterings et al, 2006). Other planners used their own company software in which NY‐PI assessment had been incorporated.…”

Section: Resultsmentioning

confidence: 99%

Phosphorus Index as a Phosphorus Awareness Tool: Documented Phosphorus Use Reduction in New York State

Ketterings

Czymmek

2012

J. environ. qual.

Self Cite

View full text Add to dashboard Cite

In 1999, New York introduced its concentrated animal feeding operation (CAFO) permit followed, in 2001, by release of the New York phosphorus index (NY-PI) and establishment of a statewide on-farm research partnership. State policy requires that the Natural Resources Conservation Service's 590 nutrient management standard, and therefore the NY-PI, be implemented on all CAFO farms as well as animal feeding operations (AFOs) receiving state or federal cost share funds for manure storage and other related practices. Since the introduction of the NY-PI, P fertilizer sales (farm use) declined from 14,470 Mg in 2001 (8.6 kg P ha) to 7,376 Mg in 2009 (5.0 kg P ha). Cost of fertilizer was not a significant covariate for the reduction in P use over time. Certified nutrient management planners were surveyed in 2011 to evaluate their perceptions of drivers for changes in P use. In addition, whole farm P balances were recorded for 54 New York dairy farms. The survey data illustrate key ingredients for success: (i) statewide awareness of environmental challenges through both regulations and extension programming; (ii) science-based, user-friendly tools that allow for farm-specific responses to the challenges; (iii) risk assessment of management alternatives through on-farm research; (iv) enforcement of regulations; and (v) existence of economically feasible alternatives. Whole farm balances showed a reduction in P surplus of 44%, averaged across farms, whereas milk production increased, further illustrating the willingness and economic potential to make changes that improve production efficiency and reduce risk of nutrient loss to the environment.

show abstract

Section: Resultsmentioning

confidence: 99%

Phosphorus Index as a Phosphorus Awareness Tool: Documented Phosphorus Use Reduction in New York State

Ketterings

Czymmek

2012

J. environ. qual.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Some nutrient record keeping software (Ketterings et al, 2006) and some forage quality software, such as MILK2006 (Undersander et al, 2006), require input of grass or alfalfa percentage in forage mixtures. The alfalfa-grass ratio helps to identify the optimum quality harvest date of mixtures and allows ranking the harvest order of fields based on grass percentage.…”

Section: Discussionmentioning

confidence: 99%

Botanical Composition Prediction of Alfalfa–Grass Mixtures using NIRS: Developing a Robust Calibration

Karayilanli

Cherney

Sirois³

et al. 2016

Crop Science

View full text Add to dashboard Cite

Botanical composition of alfalfa (Medicago sativa L.)–grass fresh and ensiled mixtures is a key parameter for assessing forage and diet quality as well as for managing mixed stands. Previous attempts to validate near‐infrared reflectance spectroscopy (NIRS) equations for estimating botanical composition have had mixed results. This study was conducted to develop a robust NIRS method to estimate botanical composition of binary alfalfa–grass mixtures. Alfalfa–grass samples were collected across New York State over four growing seasons, hand separated, and a subset were ensiled separately. Dry samples were coarsely ground, mixed in known proportions, and reground for analysis by NIRS at Dairy One Forage Laboratory, Ithaca, NY. Samples were mixed to range from 0 to 100% alfalfa for NIRS calibration, with a total of 741 individual samples from 3 yr used for calibration of three NIRS instruments and samples from a fourth year used for validation. Grass composition was predicted with good precision and accuracy showing biases of 2.49 and standard errors of prediction (SEP) of 5.06, with R2 of 0.972, using the equation developed across multiple instruments. With selection of a robust set of calibration samples over many environments, NIRS can be used to determine the botanical composition of fresh‐dried or ensiled‐dried alfalfa–grass samples, and replicate scans from multiple instruments can be combined to develop a single calibration that will perform with equal efficiency across different instruments.

show abstract

“…In total 175 fields were included. Soil type and field management data for each of the fields on the farms were obtained from CropwareNET (Farm Information Technologies, Peru, NY), a cloud-based version of Cropware, a nutrient management planning software that incorporates NMSP fertility guidelines (Ketterings et al, 2006). For each field, N supply from soil organic matter, prior year crops (crop rotation credits) and past manure applications was derived according to Ketterings et al (2003b).…”

Section: Locations Fertility Management and Agronomic Datamentioning

confidence: 99%

Nitrogen and Phosphorus Balances Vary at the Whole-Farm, Field, and Within-Field Scales

et al. 2021

Self Cite

View full text Add to dashboard Cite

A field nutrient balance (supplied minus harvested) can be an effective, end-of-season management evaluation tool. However, development of guidance for balance-based management requires knowledge of variability in balance inputs. To contribute to development of such guidelines, we evaluated the impact of corn silage hybrid selection, nutrient management, and growing conditions on field nitrogen (N) balances and documented variability in N and phosphorus (P) balances at the whole-farm, field, within-field levels. Variability in N removal among hybrids was evaluated using hybrid trials (5 locations, 4 years each). Variability in farm and field balances (4 farms, 2 years each) and within-field balances (2 farms, 2 years each) was assessed as well. Nitrogen supply comprised soil N (soil type-specific book values), rotation N, past manure N, and current year N (fertilizer and/or manure). Total N balances included all current year manure N while available N balances considered only plant-available N from manure. Phosphorus balances were derived as total P applied minus P harvested. Yield explained 81% of the variability in N uptake across hybrids. Nitrogen uptake intensity (NUI; N uptake per unit of yield) varied across locations and years, averaging 4.3 ± 0.1 kg N/Mg for short-season hybrids [≤95 days-to-maturity (DTM)] vs. 4.1 ± 0.1 kg N Mg−1 for longer-season hybrids. Whole-farm N balances ranged from 139 to 251 kg N ha−1 for total N and 43 to 106 kg N ha−1 for available N. Phosphorus balances ranged from 28 to 154 kg P ha−1. Balances per field ranged from −8 to 453, −66 to 250 kg N ha−1, and −30 to 315 kg P ha−1 for total N, available N, and total P, respectively, while within-field balances showed even larger ranges. We conclude that (1) variability in corn silage N and P balances at field and within-field scales and across year is large, emphasizing the need for field and within-field (where feasible) evaluation tools and management options, and (2) feasible limits for N balances should include both total and available N.

show abstract

Cornell Cropware: Decision Support Tool for Fertilizer and Manure Nutrient Management Planning

Cited by 8 publications

References 5 publications

Phosphorus Index as a Phosphorus Awareness Tool: Documented Phosphorus Use Reduction in New York State

Phosphorus Index as a Phosphorus Awareness Tool: Documented Phosphorus Use Reduction in New York State

Botanical Composition Prediction of Alfalfa–Grass Mixtures using NIRS: Developing a Robust Calibration

Nitrogen and Phosphorus Balances Vary at the Whole-Farm, Field, and Within-Field Scales

Contact Info

Product

Resources

About