Modeling chickpea growth and development: Phenological development

By Afshin Soltani, Graeme L. Hammer, B. Torabi, M. Robertson, E. Zeinali. 2006

106 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/a6b74f6f0b324e5b8ba7c7227f618c8bb2c56619

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In Agronomy and Crop Science

In Plant Science

Citations in the corpus

Chickpea evolution has selected for contrasting phenological mechanisms among different habitats (2011, background): “There are few publications concerned with cardinal temperatures (Tb, To, Tm) in legume crops (Robertson et al. 2002; Soltani et al. 2006), and these tend to be based on a limited range of genotypes.”
Characterization of the main chickpea cropping systems in India using a yield gap analysis approach (2018, unknown): “Despite, SSM-iLegume model has been shown highly reliable in studies encompassing the wide range of environments for various legume species including chickpea (Vadez et al., 2012; Vadez et al., 2013; Soltani et al., 2006; Soltani and Sinclair, 2011; Amiri-Deh-Ahmadi et al., 2014), soybean (Sinclair ”
Temperature-mediated developmental delay may limit yield of cotton in relay intercrops with wheat (2008, unknown): “the number of days that development would last at a constant optimal temperature, To (Soltani et al., 2006).”
SSM-Wheat: a simulation model for wheat development,growth and yield (2013, methodology): “A biphasic pattern is used for crop mass partitioning between leaf and stem before TLM (Soltani et al., 2006c; Soltani and Sinclair, 2011).”
Modelling possible benefits of root related traits to enhance terminal drought adaptation of chickpea (2012, background): “Cardinal temperatures were set at 2 ◦C for base temperature, 21 ◦C for lower optimum temperature, 30 ◦C for upper optimum temperature and 40 ◦C for ceiling temperature (Soltani et al., 2006).”
Modelling post-emergent hemp phenology (Cannabis sativa L.): Theory and evaluation (2008, background): “However, in his study the degree of uncertainty in parameter estimates is educed because datasets covering a wide range of environental conditions were included in the optimisation procedure Soltani et al., 2006).”