Methodology to estimate rice genetic coefficients for the CSM-CERES-Rice model using GENCALC and GLUE genetic coefficient estimators

Potential adaptation strategies for rainfed soybean production in the south-eastern USA under climate change based on the CSM-CROPGRO-Soybean model

(2015) Y. BAO et al.   JOURNAL OF AGRICULTURAL SCIENCE

Potential adaptation strategies for rainfed soybean production in the south-eastern USA under climate change based on the CSM-CROPGRO-Soybean model

(2015) Y. BAO et al.   JOURNAL OF AGRICULTURAL SCIENCE

Estimation of solar radiation based on air temperature and application with the DSSAT v4.5 peanut and rice simulation models in Thailand

(2013) Nittaya Phakamas et al.   AGRICULTURAL AND FOREST METEOROLOGY

Effects of planting date and variety on flooded rice production in the deepwater area of Thailand

(2011) Chitnucha Buddhaboon et al.   FIELD CROPS RESEARCH

Integrating a simple shading algorithm into CERES-wheat and CERES-maize with particular regard to a changing microclimate within a relay-intercropping system

(2011) H. Knörzer et al.   FIELD CROPS RESEARCH

Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method

(2010) Jianqiang He et al.   AGRICULTURAL SYSTEMS

A Method for Upscaling Genetic Parameters of CERES-Rice in Regional Applications

(2010) Min JIANG et al.   Rice Science

A sequential approach for determining the cultivar coefficients of peanut lines using end-of-season data of crop performance trials

(2008) J. Anothai et al.   FIELD CROPS RESEARCH