Modelling dry matter production and resource use in intercrops of pea and barley
By J. Berntsen, Henrik Hauggard-Nielsen, Jørgen Eivind Olesen, B. M. Petersen, E. S. Jensen, A. Thomsen. 2004
90 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Forestry, Plant Science
View Paper: https://www.semanticscholar.org/paper/e03b55c02ce8f9e5886ee13e9302b8ca4ca307b0
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
- Eric Justes
- Laurent Bedoussac
- E. S. Jensen
- H. Hauggaard-Nielsen
- G. Corre-Hellou
- H. Ogindo
- Mitsuru Tsubo
- S. Walker
In Forestry
- Eric Justes
- Laurent Bedoussac
- H. Ogindo
- Mitsuru Tsubo
- S. Walker
- E. S. Jensen
- H. Hauggaard-Nielsen
- G. Corre-Hellou
In Plant Science
- Eric Justes
- Laurent Bedoussac
- E. S. Jensen
- H. Hauggaard-Nielsen
- G. Corre-Hellou
- H. Ogindo
- Mitsuru Tsubo
- S. Walker
Citations in the corpus
- A simulation model of cereal–legume intercropping systems for semi-arid regions: II. Model application (2005, background): “, 2002), while another takes into account competition for water and nutrients (Berntsen et al., 2004).”
- Effect of root depth penetration on soil nitrogen competitive interactions and dry matter production in pea-barley intercrops given different soil nitrogen supplies (2007, unknown): “In the FASSET model (Berntsen et al., 2004), the authors also pointed out the difficulty in accurately simulating competition for light between associated crops at the end of the crop cycle and showed that the vertical distribution of leaf area of the species has a great influence on the outcome of ”
- Current knowledge and future research opportunities for modeling annual crop mixtures. A review (2019, methodology): “A few crop models, such as APSIM (Agricultural Production Systems sIMulator; Holzworth et al. 2014), CROPSYST (Cropping Systems Simulation Model; Singh et al. 2013), FASSET (Farm ASSEssment Tool; Berntsen et al. 2004), and STICS (Simulateur mulTIdisciplinaire pour les Cultures Standard; Brisson et a”
- Dynamic analysis of competition and complementarity for light and N use to understand the yield and the protein content of a durum wheat–winter pea intercrop (2010, background): “The later growth of the legume was observed for both sole crop and intercrop, as illustrated by lower CGR values compared to the period from sowing to ‘ear 1 cm’ stage of wheat indicating that phenological difference can play a central role in shaping the observed dynamics (Berntsen et al. 2004).”
- A simulation model of cereal-legume intercropping systems for semi-arid regions I. Model development (2005, background): “However, few satisfactory crop models simulate polyculture (Probert et al., 1998; Baumann et al., 2002; Berntsen et al., 2004).”
- Exploring options for managing strategies for pea–barley intercropping using a modeling approach (2009, methodology): “In such models, concentrating on the dynamics of the system, modules were added to the initial sole crop 20 model in order to take into account the sharing of light and nutrients between species (Kiniry et al., 1992, Caldwell et al., 1993, Berntsen et al., 2004, Tsubo et al., 2005).”
- Adaptation of the STICS intercrop model to simulate crop growth and N accumulation in pea-barley intercrops (2009, methodology): “, 1996) or cereal–legume intercrops (Berntsen et al., 2004; Brisson et al., 2004; Tsubo et al., 2005).”