Soil property predictors of soybean yield using yield contest sites

State yield contests offer a unique opportunity to examine the high end of crop productivity. Yield-contest-entered and average-yielding areas on the same or a similar soil can provide large yield and soil property variations to better examine the relationships among various near-surface soil proper...

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Bibliographic Details
Published in:Journal of crop improvement 2017-11, Vol.31 (6), p.816-829
Main Authors: Adams, Taylor C., Brye, Kristofor R., Purcell, Larry C., Ross, Jeremy, Gbur, Edward E., Savin, Mary C.
Format: Article
Language:English
Subjects:
Arkansas
Biological properties
Crop production
Crop yield
Glycine max
multiple regressions
Regression analysis
Soil chemistry
Soil environment
soil fertility
Soil properties
Soil surfaces
soybean production
Soybeans
ultra-high yields
Variation
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Summary:State yield contests offer a unique opportunity to examine the high end of crop productivity. Yield-contest-entered and average-yielding areas on the same or a similar soil can provide large yield and soil property variations to better examine the relationships among various near-surface soil properties and soybean (Glycine max L. [Merr.]) yield. The objective of this study was to evaluate the relationships among a suite of near-surface soil properties and soybean yield across average- and high-yield areas using state yield-contest sites. Multiple regression analyses were conducted to evaluate best-fit relationships among various soil physical, chemical, and biological properties and yield separately for average- and high-yielding areas and for data combined across yield areas. Soybean yield variation was most explained for the high-yield-area dataset (R 2  = 73%) and less explained for the average-yield-area (R 2  = 51%) and the combined (R 2  = 50%) datasets. Extractable soil Ca and S explained the largest proportion of yield variation (37% and 31% of total sum of squares) in the high-yield setting and both were inversely related to yield. A better understanding of the soil environment may be a key component of more frequent attainment of the 6270 kg ha −1 (100 bu acre −1 ) soybean yield mark. Additional soil properties, beyond those evaluated in this study, may need to be included for a more complete understanding of the soil environment that is associated with high-yield soybean production.
ISSN:1542-7528
1542-7536
DOI:10.1080/15427528.2017.1372326