TY - JOUR
T1 - Soil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations
AU - Pravia, M. Virginia
AU - Kemanian, Armen R.
AU - Terra, José A.
AU - Shi, Yuning
AU - Macedo, Ignacio
AU - Goslee, Sarah
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/5
Y1 - 2019/5
N2 - Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (C s ) with low nitrogen (N) fertilizer inputs. We hypothesize that C s saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a C s saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha −1 , respectively. Measurements show C s accretion and C s decline for the first and second half of the experiment, respectively. The C s accretion rate was highest for PP, while the C s decline was highest for CC (1.3 vs −0.6 Mg ha −1 y −1 of C). The model captured this C s dynamics and performed better when using the C s saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha −1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil C s distribution with depth well, and simulated faster N turnover and greater N availability for the subsequent grain crop in CP vs CC. The results suggest that C s saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling C s saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems.
AB - Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (C s ) with low nitrogen (N) fertilizer inputs. We hypothesize that C s saturation in the topsoil may explain the favorable C and N cycling in these systems. We tested this hypothesis by evaluating and simulating three contrasting crop and pasture rotational systems from a 20-year no-till experiment in Treinta y Tres, Uruguay. The systems were: 1) Continuous annual cropping (CC); 2) crop-pasture rotation with two years of crops and four years of pastures (CP); and 3) perennial pasture (PP). Using the Cycles agroecosystems model, we evaluated the inclusion or exclusion of a C s saturation algorithm. The model simulated forage, soybean, and sorghum grain yields correctly, with low root mean square error (RMSE) of 1.5, 0.7 and 1.0 Mg ha −1 , respectively. Measurements show C s accretion and C s decline for the first and second half of the experiment, respectively. The C s accretion rate was highest for PP, while the C s decline was highest for CC (1.3 vs −0.6 Mg ha −1 y −1 of C). The model captured this C s dynamics and performed better when using the C s saturation algorithm than when excluding it (RMSE 4.7 vs 6.8 Mg C ha −1 and relative RMSE of 14% and 21% for the top 15-cm). The model with saturation simulated subsoil C s distribution with depth well, and simulated faster N turnover and greater N availability for the subsequent grain crop in CP vs CC. The results suggest that C s saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling C s saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems.
UR - http://www.scopus.com/inward/record.url?scp=85059823687&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059823687&partnerID=8YFLogxK
U2 - 10.1016/j.agsy.2018.11.001
DO - 10.1016/j.agsy.2018.11.001
M3 - Article
AN - SCOPUS:85059823687
SN - 0308-521X
VL - 171
SP - 13
EP - 22
JO - Agricultural Systems
JF - Agricultural Systems
ER -