Dry Above Ground Biomass for a Soybean Crop Using an Empirical Model in Greece

• Main Authors: Christos Vamvakoulas, Stavros Alexandris, Ioannis Argyrokastritis
• Format: Article
• Language: English
• Published: MDPI AG 2020-01-01
• Series: Energies
• Subjects: dry above ground biomass; soybean; empirical models; bilinear regression analysis
• Online Access: https://www.mdpi.com/1996-1073/13/1/201

A new empirical equation for the estimation of daily dry above ground biomass (D-AGB) for a hybrid of soybean (<i>Glycine max</i> L.) is proposed. This equation requires data for three crop dependent parameters; leaf area index, plant height, and cumulative crop evapotranspiration. Bilinear surface regression analysis was used in order to estimate the factors entering in the empirical model. For the calibration of the proposed model, data yielded from a well-watered soybean crop for the year 2015, in the experimental field (0.1 ha) of the agricultural University of Athens, were used as a reference. Verification of the validity of the model was obtained by using data from a 2014 cultivation period for well-watered soybean cultivation (100% of crop evapotranspiration water treatment), as well as data from three irrigation treatments (75%, 50%, 25% of crop evapotranspiration) for two cultivation periods (2014&#8722;2015). The proposed method for the estimation of D-AGB may be proven as a useful tool for estimations without using destructive sampling.