Soybean Sowing Date: The Vegetative, Reproductive, and Agronomic Impacts
By A. Bastidas, Tri Setiyono, A. Dobermann, K. Cassman, R. Elmore, George L. Graef, J. Specht. 2008
203 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Plant Science
View Paper: https://www.semanticscholar.org/paper/6a6aaf86b284839ae6da5537f745d6f921c25de9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Agronomy and Crop Science
- J. Specht
- Ignacio Antonio Ciampitti
- K. Cassman
- A. Dobermann
- P. Grassini
- J. D. Bruin
- L. C. Purcell
- Shawn P. Conley
In Plant Science
- J. Specht
- K. Cassman
- Ignacio Antonio Ciampitti
- A. Dobermann
- P. Grassini
- J. D. Bruin
- L. C. Purcell
- Shawn P. Conley
Citations in the corpus
- 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, background): “The vegetative phase starts from the time the plant emerges from the soil and overlaps with the flowering stage, but eventually slows and ceases at the start of the seed-filling stage (Bastidas et al., 2008). The reproductive phase begins with flowering and continues with podding and seed-filling un”
- Genetic gain × management interactions in soybean: I. Planting date (2013, background): “Delayed planting has occasionally produced no definitive response in the seed constituents of protein and oil in MG II (Pedersen and Lauer, 2003) and MG III (Bastidas et al., 2008) soybean.”
- Simulation of soybean growth and yield in near-optimal growth conditions (2010, background): “Seed growth processes, however, re dynamic and influenced by reproductive duration and environental factors such as solar radiation and temperature which, in urn, are influenced by sowing date (Bastidas et al., 2008).”
- Sifting and winnowing: Analysis of farmer field data for soybean in the US North-Central region (2018, background): “…from previous research based on farmer data collected from small geographic areas (e.g., Grassini et al., 2015), multiyear, multi-location replicated field experiments (e.g., Bastidas et al., 2008, Rowntree et al., 2013; Mourtzinis et al., 2016) and simulation modeling (e.g., Specht et al., 2014).”
- Soybean yield partitioning changes revealed by genetic gain and seeding rate interactions (2014, background): “Therefore, achieving plant growth early in the season is important to maximize yield (Bullock et al., 1998; Edwards et al., 2005, Bastidas et al., 2008).”
- Leaf area index simulation in soybean grown under near-optimal conditions (2008, background): “These input requirements may potentially limit the use of complex soybean simulation models for certain practical applications such as optimizing planting for maximizing yield potential (Bastidas et al., 2008) or making decisions on crop management.”
- Physiological and management factors contributing to soybean potential yield (2015, background): “Finally, early planting (Bastidas et al., 2008; Salmerón et al., 2014; Wilcox and Frankenberger, 1987) and warm early spring temperatures (Cooper, 2003) induce earlier flowering, lengthen the reproductive period, and increase solar radiation interception and BAR during seedfilling. Rowntree et al. (”