Abstract The Crop Environment Resource Synthesis (CERES) models have been developed
and utilized for the last 30 years to simulate crop growth in response to climate, soil …

A crop model with genetic inputs can potentially simulate yield for a large range of
genotypes, sites, and years, thereby indicating where and when a given combination of …

A new maize (Zea mays L.) simulation model, Hybrid-Maize, was developed by combining
the strengths of two modeling approaches: the growth and development functions in maize …

In recent years, maize has become one of the main alternative crops for the Autumn–Winter
growing season (off-season) in several regions of Brazil. Water deficits, sub-optimum …

Accurate measurement of crop growth and radiation use efficiency (RUE) under optimal
growth conditions is required to predict plant dry matter accumulation and grain yield near …

Integrating crop species with different photosynthetic pathways has great potential to
increase efficiency in the use of scarce resources. In order to tap the resource …

Future climate scenarios are predicting considerable threats to sustainable maize
production in arid and semi-arid regions. These adverse impacts can be minimized by …

We developed a biogeophysical model called Agro-C to assess the regional carbon budgets
of agroecosystems on a large scale. The model consists of two submodels, Crop-C and Soil …

In lieu of the decreasing availability of water for irrigated rice, we examined two alternatives
to traditional rice cultivation on puddled and saturated soil–maize and dry-seeded rice …

The impacts of climate change and possible adaptations to food security are a global
concern and need greater focus in arid and semi-arid regions. It includes scenario of …