Abstract
Abstract
Light interception plays an important role in cotton (Gossypium hirsutum L.) production, there are few researches on the cotton’s light interception response on irrigation strategy on semi-arid region. Cotton2K is a simulation model for cotton growth developed by Marani (2004), successor of CALGOS (CALifornia GOSsym) (Marani et al.,1992) which derived from GOSSYM. The modified Cotton2K model reimplemented photosynthesis sub procedures compared with the original one, calibrated using field experiments data during the two cotton growing seasons of 2019 and 2020.The normalized root mean squared error (NRMSE) in above ground biomass over the irrigation treatments was 17.44%, showing high simulation accuracy.
Publisher
Research Square Platform LLC
Reference14 articles.
1. Bureau of Statistics of Xinjiang Uygur Autonomous Region (2020) Xinjiang Statistical Yearbook. China Statistic Publishing House
2. Chinas National Statistical Bureau, 2020.China Statistical Yearbook. China Statistic Publishing House, Beijing,China
3. An Evolutionary Many-Objective Optimization Algo-rithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints;Deb K;IEEE Trans Evol Comput,2014
4. Effects of plastic mulching and plastic residue on agricultural production: A meta-analysis;Gao H;Sci Total Environ,2019
5. WOFOST-GTC: A new model for the simulation of winter rapeseed production and oil quality;Gilardelli C;Field Crops Research,2016