Biogeochemical simulation models are important tools for describing and quantifying the
contribution of agricultural systems to C sequestration and GHG source/sink status. The …

With the advent of biorefinery technologies enabling plant biomass to be processed into
biofuel, many researchers set out to study and improve candidate biomass crops. Many of …

Biomass-derived sustainable aviation fuel holds significant potential for decarbonizing the
aviation sector. Its long-term viability depends on crop choice, longevity of soil organic …

The increase in soybean production as a source of protein and oil is being stimulated by the
growing demand for livestock feed, food and numerous other applications. Significant …

Agricultural land-use activities are the leading sources of GHG (greenhouse gas) emissions
in Kenya. However, few studies have examined GHG emissions resulting from different soil …

Increased use of nitrogenous (N) fertilizers in agriculture has significantly altered the global
N-cycle because they release nitrogenous gases of environmental concerns. The emission …

Many yield predictions in perennial bioenergy species have been made based on data
collected during the establishment phase of growth or a limited number of long‐term studies …

The development and application of crop** system simulation models for cotton
production has a long and rich history, beginning in the southeastern United States in the …

Uncertainty in predictions of long-term yields of perennial grasses makes business plans
untenable in the short run. Long-term data across varied environments, including marginal …

Process‐based models are increasingly used to study agroecosystem interactions and N2O
emissions from agricultural fields. The widespread use of these models to conduct research …