Soil N mineralisation is the process by which organic converted into plant-available forms, while soil immobilisation transformation of inorganic matter and microbial biomass, thereafter becoming bio-unavailable to plants. Mechanistic models can be used explore contribution mineralised or immobilised pasture growth through simulation plant, environment interactions driven management. Our object...

Field research for exploring the impact of winter cover crops (WCCs) integration into cropping systems is resource intensive, time-consuming and offers limited application beyond study area. To bridge this gap, we used APSIM model, to simulate corn (Zea mays L.)-rye (Secale cereale L.)-corn-rye corn-rye-soybean (Glycine max rotations in comparison with corn-corn corn-soybean across state Illino...

A crop can be viewed as a complex system with outputs (e.g. yield) that are affected by inputs of genetic, physiology, pedo-climatic and management information. Application of numerical methods for model exploration assist in evaluating the major most influential inputs, providing the simulation model is a credible description of the biological system. A sensitivity analysis was used to assess ...

Soil nitrogen (N) is essential for plant growth, but in excess it can lead to environmental pollution via leaching and greenhouse gas emissions. A good understanding of soil N dynamics is therefore crucial for improving farm management. Field studies typically measure only some parts of the N cycle as temporal snapshots. Large uncertainties are involved when these observations are scaled up to ...

The rice–wheat rotation is the dominant cropping system in Bihar, where food security of rural population depends heavily on production rice and wheat. In farmers plant after first significant rains, climatic shocks induced by low temperatures terminal heat stress at end corresponding season can significantly affect wheat yields. present work evaluates benefit using an earlier date for planting...

In this paper we refer to the gene-to-phenotype modeling challenge as the GP problem. Integrating information across levels of organization within a genotype-environment system is a major challenge in computational biology. However, resolving the GP problem is a fundamental requirement if we are to understand and predict phenotypes given knowledge of the genome and model dynamic properties of b...