Unlike the Central and Eastern U.S. Corn-Belt where maize is grown almost entirely under rainfed conditions, maize in the Western Corn-Belt is produced under both irrigated (3.2 million ha) and rainfed (4.1 million ha) conditions. Simulation modeling, regression, and boundary-function analysis were used to assess constraints to maize productivity in the Western Corn-Belt. Aboveground biomass, grain yield, and water balance were simulated for fully irrigated and rainfed crops, using 20-year weather records from 18 locations in combination with actual soil, planting date, plant population, and hybrid-maturity data. Mean values of meteorological variables were estimated for three growth periods (pre- and postsilking, and the entire growing sea...
The CERES-Maize model was evaluated in its capacity to predict both regional maize yield and water u...
ABSTRACT 1991). These properties include soil bulk density and chemical properties.This study invest...
Quantifying the exploitable gap between average farmer yields and yield potential (YP) is essential ...
Unlike the Central and Eastern U.S. Corn-Belt where maize is grown almost entirely under rainfed con...
Maize demand for food, livestock feed, and biofuel is expected to increase substantially. The Wester...
Maize demand for food, livestock feed, and biofuel is expected to increase substantially. The Wester...
Water productivity (WP) is a robust benchmark for crop production in relation to available water sup...
Water productivity (WP) is a robust benchmark for crop production in relation to available water sup...
Effects of meteorological variables on crop production can be evaluated using various models. We hav...
Appropriate benchmarks for water productivity (WP), defined here as the amount of grain yield produc...
Water-limiting effects on the production of maize, cv. Suwan 1, in rainfed rice or lowland environme...
The Hybrid-Maize model (Yang et al, 2004), which has been validated under optimal water conditions, ...
The CERES-Maize model was evaluated in its capacity to predict both regional maize yield and water u...
ABSTRACT 1991). These properties include soil bulk density and chemical properties.This study invest...
Quantifying the exploitable gap between average farmer yields and yield potential (YP) is essential ...
Unlike the Central and Eastern U.S. Corn-Belt where maize is grown almost entirely under rainfed con...
Maize demand for food, livestock feed, and biofuel is expected to increase substantially. The Wester...
Maize demand for food, livestock feed, and biofuel is expected to increase substantially. The Wester...
Water productivity (WP) is a robust benchmark for crop production in relation to available water sup...
Water productivity (WP) is a robust benchmark for crop production in relation to available water sup...
Effects of meteorological variables on crop production can be evaluated using various models. We hav...
Appropriate benchmarks for water productivity (WP), defined here as the amount of grain yield produc...
Water-limiting effects on the production of maize, cv. Suwan 1, in rainfed rice or lowland environme...
The Hybrid-Maize model (Yang et al, 2004), which has been validated under optimal water conditions, ...
The CERES-Maize model was evaluated in its capacity to predict both regional maize yield and water u...
ABSTRACT 1991). These properties include soil bulk density and chemical properties.This study invest...
Quantifying the exploitable gap between average farmer yields and yield potential (YP) is essential ...