Adaptability evaluation of ORYZA (v3) for single‐cropped rice under different establishment techniques in eastern China

Abstract

The ORYZA (v3) rice model is the most exhaustive representation of the available knowledge on rice (Oryza sativa L.) growth and development and has become an integrated rice modelling tool suitable for different scenarios according to the demands of users. A 3‐yr field experiment was conducted under potential production conditions for single‐cropped rice during 2011–2013 in Jiangsu Province in eastern China. The simulation performance of ORYZA (v3) with respect to the growth and development of different rice varieties under different establishment methods was evaluated and validated. The adaptability and stability of the model and its effect on the production of the same or similar rice varieties in different districts and years were verified using calibrated parameters. The results revealed that ORYZA (v3) performed well in simulating the dynamics of crop biomass and leaf area index for both calibration and validation datasets in 2011–2013, as is reflected by the high adjusted linear correlation coefficient (r2), low normalized root mean square error (NRMSE) value, and lack of notable differences between simulated and observed data with 99% confidence. The NRMSE value of the final yield ranged from 4.30 to 8.99% for both Indica and Japonica rice throughout the growing seasons. The performance of transplanted Indica rice varieties was better than that of most Japonica rice varieties. Overall, our evaluation suggested the suitability of ORYZA (v3) for simulating rice growth and development of different single‐cropped varieties under different establishment techniques in eastern China.

ORYZA (v3) rice crop growth modeling for MR269 under nitrogen treatments: Assessment of cross-validation on parameter variability

“…The figure shows that LAI has the lowest nRMSE, ranging from about 2-26%, followed by dry biomass of green leaves, ranging from about 5-27%, and dry total aboveground biomass, ranging from about 11-30%. These results are consistent with previous research, which found nRMSE values ranging from 7 to 34% for dry bisomass of total aboveground stems, panicles, green leaves, and LAI for both calibration and validation sets (Cao et al 2017, Yuan et al 2017, Xu et al 2018, Lu et al 2020. Meanwhile, Li et al (2016) found LAI (16-70%) and green leaves (14-70%) have wider nRSME ranges, while total aboveground dry biomass (4-20%), panicles, (3-18%), and stems (1-38%) have smaller ranges across eleven rice varieties.…”

“…Li et al (2016) also discovered a high nRMSE for dead leaves of up to 105% for the NSICRc158 variety. The dead leaves are the least evaluated traits in many studies (Cao et al 2017, Yuan et al 2017, Lu et al 2020.…”

“…Extensive evaluation of rice crop models such as CERES-Rice, ORYZA2000, and ORYZA (v3) for rice varieties have been conducted in China (Yuan et al 2017, Xu et al 2018, Lu et al 2020, India (Halder et al 2020, Jha et al 2020, Iran (Amiri et al 2014, Tari et al 2017, and the Philippines (Li et al 2016, Radanielson et al 2018. Fewer evaluations of rice crop models have been reported for Thailand (Wikarmpapraharn and Kositsakulchai 2010, Babel et al 2011, Boling et al 2011, Indonesia (Agustiani et al 2018), and Vietnam (Tan Yen et al 2019).…”

“…Several studies evaluated rice crop models mainly using rice yield data, but the models could also be used to estimate other crop components (Babel et al 2011;Shaidatul Azdawiyah et al 2014;Vaghefi et al 2016). Commonly, a one-round validation approach is used (Amiri et al 2014, Tan Yen et al 2019, Lu et al 2020, in which data is arbitrarily divided into two or more mutually exclusive sets. Some sets are used for calibration, while others are used for validation (Kohavi 1995).…”

Transferability of recommendations developed for transplanted rice to direct‐seeded rice in ORYZA model

“…These studies dealt with many factors, including the rice cultivar, nitrogen management, water scheme, planting density, seedling age, and atmospheric CO 2 concentration (Boling et al., 2011; Bouman et al., 2007; Li et al., 2013). In addition, ORYZA series models have been used in transplanted (Bouman & van Laar, 2006; Jing et al., 2008; Li et al., 2013) and direct‐seeded rice systems (Boling et al., 2011; Lu et al., 2020).…”