North American NUE Trials: Evidence for Soil Texture and Weather Adjustments for In-season Corn Nitrogen Fertilization Newell Kitchen Cropping Systems.

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Presentation transcript:

North American NUE Trials: Evidence for Soil Texture and Weather Adjustments for In-season Corn Nitrogen Fertilization Newell Kitchen Cropping Systems & Water Quality Research Unit Columbia, MO Nicolas Tremblay Horticulture Research and Development Centre, Saint-Jean-sur-Richelieu, Quebec M.Y. Bouroubi, C. Bélec, R. Mullen, W. Thomason, S. Ebelhar, D. Mengel, B. Raun, D. Francis, E.D. Vories, and I. Ortiz-Monasterio

Could a universal algorithm be developed with proximal canopy sensing for directing in-season corn N fertilization?

North-American Regional Trials

Need of a breakthrough We need o To identify (done) and rank factors at play o To establish interactions, if any o To quantify their consequences on N opt o To generalize the conclusions Meta-analyses offer a solution

Arnqvist and Wooster 1995 Meta-analysis is an effective synthetic method for summarizing and reviewing previous quantitative studies. In comparison to a narrative review, meta- analysis has the advantage of objectivity and better control of Type II error (i.e. failure to reject a false null hypothesis)… …and therefore the potential to integrate a large collection of results from various studies in order to address a particular question.

The virtues of meta-analysis Weigh studies according to variability Allow for agglomeration of studies conducted (in a diversity of conditions) and generalization Between-group variability is associated with different categories ( explaining discrepancies among studies and factors to consider for N opt ) Quantitative estimate of effect size, which is calculated as the response to a specific treatment (e.g. fertilization with nitrogen) relative to a control (e.g. no nitrogen fertilization)

North-American Database

Response as a function of weather and soil Weather: Precipitation/Irrigation Cumulative (PPT) Distribution (Shannon Diversity Index (SDI) ) Abundant & Well-Distributed Rainfall (AWDR) Heat Corn Heat Units (CHU) Window of interest (optimize side-dress N response): Days Before Side Dress (BSD) Days After Side Dress (ASD) Soil surface textures: Course/Medium- loam, silt loam, sandy loam, loamy fine sand, fine sandy loam Fine- clay, silty clay, silty clay loam, clay loam SD SD

Wide Range of Conditions Classed

The Soil Factor

Corn Heat Units

Precipitation

Shannon Diversity Index

Abundant and Well-Distributed Rainfall

Soil-CHU-Rain Interactions

Potential Direction for In-season N Fertilizer Recommendations Medium textures = 1.6x Low AWDR = 1.5x High AWDR = 2.1x Fine textures = 2.7x Low AWDR = 1.5x o Low CHU = 1.9x o High CHU = 1.5x High AWDR = 4.5x o Low CHU = 5x o High CHU = 3x

Could a universal algorithm be developed for informing canopy- sensed corn N fertilization? Weather: Precipitation/Irrigation Cumulative (PPT) Distribution (Shannon Diversity Index (SDI) ) Abundant & Well-Distributed Rainfall (AWDR) Heat Corn Heat Units (CHU) SD SD