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Long‐term Trends in Corn Yields and Soil Carbon under Diversified Crop Rotations
Author(s) -
Jarecki Marek,
Grant Brian,
Smith Ward,
Deen Bill,
Drury Craig,
VanderZaag Andrew,
Qian Budong,
Yang Jingyi,
WagnerRiddle Claudia
Publication year - 2018
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.2134/jeq2017.08.0317
Subject(s) - agronomy , red clover , soil carbon , environmental science , crop yield , crop rotation , crop , cropping system , yield (engineering) , biology , soil water , soil science , materials science , metallurgy
Agricultural practices such as including perennial alfalfa ( Medicago sativa L.), winter wheat ( Triticum aestivum L.), or red clover ( Trifolium pratense L.) in corn ( Zea mays L.) rotations can provide higher crop yields and increase soil organic C (SOC) over time. How well process‐based biogeochemical models such as DeNitrification‐DeComposition (DNDC) capture the beneficial effects of diversified cropping systems is unclear. To calibrate and validate DNDC for simulation of observed trends in corn yield and SOC, we used long‐term trials: continuous corn (CC) and corn–oats ( Avena sativa L.)–alfalfa–alfalfa (COAA) for Woodslee, ON, 1959 to 2015; and CC, corn–corn–soybean [ Glycine max (L.) Merr.]–soybean (CCSS), corn–corn–soybean–winter wheat (CCSW), corn–corn–soybean–winter wheat + red clover (CCSW+Rc), and corn–corn–alfalfa–alfalfa (CCAA) for Elora, ON, 1981 to 2015. Yield and SOC under 21st century conditions were projected under future climate scenarios from 2016 to 2100. The DNDC model was calibrated to improve crop N stress and was revised to estimate changes in water availability as a function of soil properties. This improved yield estimates for diversified rotations at Elora (mean absolute prediction error [MAPE] decreased from 13.4–15.5 to 10.9–14.6%) with lower errors for the three most diverse rotations. Significant improvements in yield estimates were also simulated at Woodslee for COAA, with MAPE decreasing from 24.0 to 16.6%. Predicted and observed SOC were in agreement for simpler rotations (CC or CCSS) at both sites (53.8 and 53.3 Mg C ha −1 for Elora, 52.0 and 51.4 Mg C ha −1 for Woodslee). Predicted SOC increased due to rotation diversification and was close to observed values (58.4 and 59 Mg C ha −1 for Elora, 63 and 61.1 Mg C ha −1 for Woodslee). Under future climate scenarios the diversified rotations mitigated crop water stress resulting in trends of higher yields and SOC content in comparison to simpler rotations. Core Ideas Corn grown in rotation had higher yield than corn grown in monoculture. Improvements in the DNDC model captured the yield increases in diversified rotations. Diversified rotations had higher SOC stock than corn in monoculture. DNDC‐predicted and observed values agreed well for yield and soil carbon. Benefits from diversified rotations were predicted by DNDC for future scenarios.

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