Understanding and modeling the effect of temperature and daylength on soybean phenology under high-yield conditions

By Tri Setiyono, A. Weiss, J. Specht, A. Bastidas, K. Cassman, A. Dobermann. 2007

249 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/20cdc24d31fe53a013c878e8aa12b1d6bbcd885a

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In Agronomy and Crop Science

In Plant Science

Citations in the corpus

Soybean Sowing Date: The Vegetative, Reproductive, and Agronomic Impacts (2008, methodology): “Modern soybean crop models typically undergo continual updating to make the prediction of reproductive development less empirical and more mechanistic (Boote et al., 2003; Setiyono et al., 2007 ).”
Leaf area index simulation in soybean grown under near-optimal conditions (2008, methodology): “In some models, parameters with somewhat unclear biological meaning are used too, e.g., time of maximum LAI (Brisson et al., 2003; Sinclair, 1986), which are often cultivar-specific or have to be derived from model calibration to specific conditions.”
Nitrogen uptake, fixation and response to fertilizer N in soybeans: A review (2008, methodology): “In addition, data of N uptake and grain yields measured in a high-yield experiment conducted at the University of Nebraska, Lincoln from 1999 to 2004 were included (Setiyono et al., 2007).”
Simulation of soybean growth and yield in near-optimal growth conditions (2010, background): “Setiyono et al. / Field Crops Research 119 (2010) 161–174”
Hourly and Daily Single and Basal Evapotranspiration Crop Coefficients as a Function of Growing Degree Days, Days After Emergence, Leaf Area Index, Fractional Green Canopy Cover, and Plant Phenology for Soybean (2013, methodology): “The growth stages that are observable and predictable by SOYSIM and the respective estimated average Kcr, Kco, Kcbr, and Kcbo values for each soybean V and R stage are presented in table 1.”
Assessing the influence of row spacing on soybean yield using experimental and producer survey data (2019, methodology): “Because measured phenology data were not available for most of the experiments, we used SoySim model to estimate the date of key crop growth stages (Setiyono et al., 2007; 2010), including emergence (VE), beginning of pod setting (R3), and physiological maturity (R7).”