Modelling post-emergent hemp phenology (Cannabis sativa L.): Theory and evaluation

By Stefano Amaducci, M. Colauzzi, Gianni Bellocchi, G. Venturi. 2008

87 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/7a652537e9408f0a3eec8e799f4fa3d25d0be9ba

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

1. Stefano Amaducci
2. G. Venturi
3. Sotirios V. Archontoulis
4. Fernando E. Miguez

In Plant Science

1. Stefano Amaducci
2. Sotirios V. Archontoulis
3. Gianni Bellocchi
4. Fernando E. Miguez

Citations in the corpus

• New developments in fiber hemp (Cannabis sativa L.) breeding (2015, background): “Amaducci et al. (2008a, 2008b, 2012) generated a model to estimate the flowering time of hemp that is useful to make decisions on the sowing time and harvesting time and cultivar choice.”
• Nonlinear Regression Models and Applications in Agricultural Research (2015, background): “§ Cited in Amaducci et al. (2008).”
• Evaluation of a phenological model for strategic decisions for hemp (Cannabis Sativa L.) biomass production across European sites (2012, methodology): “correspond to the findings of Amaducci et al. (2008a).”
• Genotype × Environment Interactions of Industrial Hemp Cultivars Highlight Diverse Responses to Environmental Factors (2019, background): “However, the environmental effect on phenology may become more pronounced with larger differences in latitude due to variable photoperiod sensitivity among genotypes (Amaducci et al., 2008).”