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Datta, R

Hopkins, B

Hillmer, R

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Sullivan, D

Andrews, N

Datta, R

Pool, K

Hillmer, R

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Oral

Year

2011

2019

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Filter results2 paper(s) found.
1. Predicting Plant-available Nitrogen Release from Cover Crop Residues Improved methods are needed to estimate the timing and amount of plant- available N (PAN) release from cover crops. The OSU Organic Fertilizer and Cover Crop Calculator, a downloadable spreadsheet tool, assists agricultural professionals in estimating N fertilizer replacement value of organic inputs. We conducted a series of laboratory incubations with cover crop biomass incorporated into soil to determine: (i) speed of PAN release, (ii) amount of PAN release, and (iii) robustness of the OSU Calculator... D. Sullivan, N. Andrews, R. Datta, K. Pool Download paper
2. A Science-based Approach to Trialing Biostimulants and Interpreting Trial Data Whether you’re reviewing product technical bulletins, or preparing to ramp up your field trial program, this talk will help you avoid common pitfalls in interpreting product data, designing trials, and analyzing trial data. This user-friendlyintroduction will help you put key statistical and scientific principles into practice. Topics to be covered, loosely ordered from simple to more involved: (1) the effects of outliers on mean estimates, (2) the importance of controls... R. Hillmer

Filter results2 paper(s) found.

1. Predicting Plant-available Nitrogen Release from Cover Crop Residues

Improved methods are needed to estimate the timing and amount of plant- available N (PAN) release from cover crops. The OSU Organic Fertilizer and Cover Crop Calculator, a downloadable spreadsheet tool, assists agricultural professionals in estimating N fertilizer replacement value of organic inputs. We conducted a series of laboratory incubations with cover crop biomass incorporated into soil to determine: (i) speed of PAN release, (ii) amount of PAN release, and (iii) robustness of the OSU Calculator... D. Sullivan, N. Andrews, R. Datta, K. Pool

Download paper

2. A Science-based Approach to Trialing Biostimulants and Interpreting Trial Data

Whether you’re reviewing product technical bulletins, or preparing to ramp up your field trial program, this talk will help you avoid common pitfalls in interpreting product data, designing trials, and analyzing trial data. This user-friendlyintroduction will help you put key statistical and scientific principles into practice. Topics to be covered, loosely ordered from simple to more involved: (1) the effects of outliers on mean estimates, (2) the importance of controls... R. Hillmer