Soil carbon saturation, productivity, and carbon and nitrogen cycling in crop-pasture rotations. (May 2019)

• Record Type: Journal Article
• Authors: Pravia, M. Virginia; Kemanian, Armen R.; Terra, José A.; Shi, Yuning; Macedo, Ignacio; Goslee, Sarah
• Is Part Of: Agricultural systems. Volume 171(2019)
• Page Start: 13
• Page End: 22
• Publication Date: 2019-05
• Subjects: Soil organic matter -- Agroecosystem modeling -- Long-term experiments -- Crop-pasture interseeding; Agricultural systems -- Periodicals; Agriculture -- Environmental aspects -- Periodicals; 338.16
• DOI: 10.1016/j.agsy.2018.11.001
• Languages: English
• ISSNs: 0308-521X

Abstract

Abstract: Agricultural systems integrating perennial grass-legume pastures in rotation with grain crops sustain high crop yields while preserving soil organic carbon (Cs ) with low nitrogen (N) fertilizer inputs. We hypothesize that Cs 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 Cs 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 Cs accretion and Cs decline for the first and second half of the experiment, respectively. The Cs accretion rate was highest for PP, while the Cs decline was highest for CC (1.3 vs −0.6 Mg ha −1 y −1 of C). The model captured this Cs dynamics and performed better when using the Cs 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 Cs 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 Cs saturation, and by extension soil organic N saturation, underpin the sustainability of crop-pasture rotations, and that modeling Cs saturation dynamics can be critical to reliably simulate complex crop-pasture rotational systems. Highlights: Three 20-years no-till crop-pasture rotational systems revealed lower soil organic carbon in systems excluding perennials. A new feature in the Cycles agroecosystem model allowed the simulation of inter-seeded mixed pastures and nurse crops. Including a soil carbon saturation algorithm improved the soil carbon dynamics simulation and its distribution with depth. Perennial pastures underpin soil C and N cycling in crop rotations by maintaining soil C closer to saturation.