Crop metrics for nutrient management research in corn-based cropping systems v1 Article Swipe

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Lori Abendroth , Tai McClellan Maaz , Sylvie M. Brouder , Cynthia A. Cambardella , Giorgi Chighladze , Laura E. Christianson , C. F. Drury , Fabián G. Fernández , Lowell E. Gentry , Matthew J. Helmers , D. B. Jaynes , John L. Kovar , Thomas B. Moorman , Kelly A. Nelson , Cameron M. Pittelkow , John E. Sawyer , Jeffrey J. Volenec , Alison J. Eagle ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.17504/protocols.io.5jyl8d8jrg2w/v1

This protocol was used by a collaborative research team referred to as the “NutriNet Project” in corn-based cropping systems of the U.S. Midwest and Canada. Plant measurements were collected from field-based experiments to determine aboveground biomass and nutrient concentration at different crop development stages. Corn (Zea mays L.) and soybean (Glycine max (L.) Merr.) are the cash crops and cereal rye (Secale cereale L.) is the cover crop described in this protocol. The total amount of nutrient uptake is calculated based on the plant biomass and nutrient concentration measurements. Nutrient analysis was conducted using dried, ground plant samples, separated into grain and non-grain components when applicable. Ancillary measurements, such as chlorophyll meter readings and corn stalk nitrate concentrations, are also described as these provide important context for informing nutrient management decisions. Corn was the dominant crop and focus of the project team when collecting measurements; this is evident by the detail describing corn in this protocol.

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Agricultural Engineering

Environmental Science

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Cropping Nutrient management Agronomy Crop Cropping system Crop management Agroforestry Zea mays Agricultural engineering Nutrient Environmental science Biology Agriculture Engineering Ecology

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Type: preprint
Language: en
Landing Page: https://doi.org/10.17504/protocols.io.5jyl8d8jrg2w/v1
PDF: https://www.protocols.io/view/crop-metrics-for-nutrient-management-research-in-c-dzcy72xw.pdf
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DOI: https://doi.org/10.17504/protocols.io.5jyl8d8jrg2w/v1

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Title: Crop metrics for nutrient management research in corn-based cropping systems v1

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-01-30

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Authors: Lori Abendroth, Tai McClellan Maaz, Sylvie M. Brouder, Cynthia A. Cambardella, Giorgi Chighladze, Laura E. Christianson, C. F. Drury, Fabián G. Fernández, Lowell E. Gentry, Matthew J. Helmers, D. B. Jaynes, John L. Kovar, Thomas B. Moorman, Kelly A. Nelson, Cameron M. Pittelkow, John E. Sawyer, Jeffrey J. Volenec, Alison J. Eagle

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Landing page: https://doi.org/10.17504/protocols.io.5jyl8d8jrg2w/v1

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Concepts: Cropping, Nutrient management, Agronomy, Crop, Cropping system, Crop management, Agroforestry, Zea mays, Agricultural engineering, Nutrient, Environmental science, Biology, Agriculture, Engineering, Ecology

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abstract_inverted_index.informing	127
abstract_inverted_index.non-grain	102
abstract_inverted_index.protocol.	71, 155
abstract_inverted_index.separated	98
abstract_inverted_index.Project”	14
abstract_inverted_index.calculated	79
abstract_inverted_index.collecting	143
abstract_inverted_index.components	103
abstract_inverted_index.corn-based	16
abstract_inverted_index.decisions.	130
abstract_inverted_index.describing	151
abstract_inverted_index.management	129
abstract_inverted_index.aboveground	34
abstract_inverted_index.applicable.	105
abstract_inverted_index.chlorophyll	110
abstract_inverted_index.development	42
abstract_inverted_index.experiments	31
abstract_inverted_index.field-based	30
abstract_inverted_index.“NutriNet	13
abstract_inverted_index.measurements	26
abstract_inverted_index.collaborative	6
abstract_inverted_index.concentration	38, 87
abstract_inverted_index.measurements,	107
abstract_inverted_index.measurements.	88
abstract_inverted_index.measurements;	144
abstract_inverted_index.concentrations,	117
cited_by_percentile_year.max	95
cited_by_percentile_year.min	91
countries_distinct_count	0
institutions_distinct_count	18
citation_normalized_percentile.value	0.88738486
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True