Targeting management practices for rice yield gains in stress-prone environments of Myanmar

Radanielson, Ando Mariot; Kato, Yoichiro; Palao, Leo Kris; Feyisa, Gudina Legese; Malabayabas, Arelene Julia B.; Aunario, Jorrel Khalil; Garcia, C.; Balanza, Jane Girly; Win, Khin Thuzar; Singh, Rakesh Kumar; Zamora, Chenie; Myint, Daw Tin Tin; Johnson, David E.

doi:10.1016/j.fcr.2019.107631

Cited by 9 publications

(4 citation statements)

References 33 publications

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“…stress (Li et al, 2017). Since 2016, the evaluation and application of ORYZA (v3) for simulating rice growth and development under different environment scenarios have been gradually reported and have achieved acceptable results (Espe et al, 2016a;Espe et al, 2016b;Yuan, Peng, & Li, 2017;Radanielson et al, 2018aRadanielson et al, , 2018bRadanielson et al, , 2019. Most past research has focused only on the application of ORYZA to long-grain Indica and hybrid rice varieties throughout the world.…”

Section: Core Ideasmentioning

confidence: 99%

“…This version has a stronger capability and a wider applicability domain for the simulation of rice growth and development dynamics in various rice production environments due to the implementation of new modules and routines to quantify daily variations in soil temperature, carbon, nitrogen, and environmental stress (Li et al., 2017). Since 2016, the evaluation and application of ORYZA (v3) for simulating rice growth and development under different environment scenarios have been gradually reported and have achieved acceptable results (Espe et al., 2016a; Espe et al., 2016b; Yuan, Peng, & Li, 2017; Radanielson et al., 2018a, 2018b, 2019).…”

Section: Introductionmentioning

confidence: 99%

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

Wang

et al. 2020

Agronomy Journal

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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.

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Section: Core Ideasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Wang

et al. 2020

Agronomy Journal

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“…When drought and N deficiency stress takes place, the drought stress index and N deficiency stress index are used to decrease the rates of photosynthesis and transpiration and adjust the assimilate allocation among the plant organs. The ORYZA series models have been applied and validated in various conditions with different climates, soil types, and rice varieties (Li et al., 2013; Radanielson et al., 2019).…”

Section: Methodsmentioning

confidence: 99%

Global sensitivity analysis and uncertainty analysis for drought stress parameters in the ORYZA (v3) model

et al. 2021

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Drought stress parameters in crop models have received little attention in the literature. In this study, a global sensitivity analysis on yield simulation was conducted for the drought stress parameters in the ORYZA (v3) model, and sensitive parameters were identified for double-season rice (Oryza sativa L.) (early rice and late rice) by using the Extended FAST method in different scenarios involving two N applications, two soil types, and four depths of plough soil layer. An adaptive metropolis algorithm (MCMC-AM) was used to quantify the uncertainties of these parameters with yield observations under various drought stress conditions. Based on the estimated parameter values, model performance of yield simulation was evaluated for drought stress conditions. Results showed that in a light drought stress situation, the upper limit factor for transpiration decline (FSWTD) was extremely sensitive at low N application, whereas the upper threshold for leaf expansion became more sensitive at high N application. In a moderate drought stress situation, the upper threshold for leaf rolling had high sensitivity under all conditions except for the late rice at low N application. In a heavy drought stress situation, FSWTD always had strong influence on yield, whereas the impacts of other parameters varied under different scenarios. Soil types and plough soil depth had considerable effects on the parameter sensitivities depending on fertilizer application and drought stress level. The empirical posterior distributions of these drought stress parameters for late rice showed very different shapes and variation ranges from that for early rice, and large uncertainties were presented. The yield simulations with a finely calibrated model were overestimated under heavy drought stress, especially for the late rice, which was grown in the dry season. The results highlighted that more attention should be paid for the drought stress parameters in crop models.

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“…These varieties have the potential to advance the subsequent crop, thus generating a prospect for incorporating one more crop under favorable rainfed conditions [12]. Farmers could be benefitted to great extent as they can increase or even double farm production through crop intensification [162]. Sahbhagi Dhan (IR 74371-70-1-1) is an example of short duration drought tolerant rice variety that provides ample scope for crop intensification [88].…”

Section: Cropping System-based Targetingmentioning

confidence: 99%

Abiotic Stress Tolerance-Progress and Pathways of Sustainable Rice Production

et al. 2021

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Rice is globally a major food crop and its production has progressively been affected by various types of abiotic stresses especially drought, flooding, salinity, heat and cold in most of the cultivable rice ecosystems. The incidence, intensity and duration of these stresses are anticipated to aggravate due to climate change consequences, demanding resilient yields in these situations to be essential. Present paper deals with reviewing various types of abiotic stresses and their mitigation strategies for enhancing and stabilizing rice production in stress prone areas. Review of available literature pertaining to the study area has been used as research methodology for this paper. The available literature suggests that stress-tolerant varieties can serve as the most viable strategy to contribute in coping with the problem of abiotic stresses. Although, good progress has been made in the development of stress-tolerant rice varieties (STRVs) and incessant efforts are being made to spread these varieties in target areas, adoption by farmers is yet to meet expectations. Advantage, affordability, awareness and availability are the main factors responsible for adopting of any technology. The adoption of stress-tolerant varieties has not reached its potential, predominantly due to the lack of awareness and non-availability of seeds amongst farmers. Strategic and intentional collaborations should be ensured for scaling the sustainable delivery and diffusion of STRVs. A promotional roadmap that ensures the linkages between private and public seed sectors remains the key factor for its successful adoption. Similarly, strengthening of formal, informal and semi-formal seed systems is crucial to accelerate the dissemination of these varieties. There is an imperative need to create strategic plans for the development of varieties possessing multiple stress tolerance. Significant investments for sustainability of rice production in stress prone areas form the essential component of long-term agricultural development. The sooner these investments and strategies are accomplished, the greater the gains are expected.

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Targeting management practices for rice yield gains in stress-prone environments of Myanmar

Cited by 9 publications

References 33 publications

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

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

Global sensitivity analysis and uncertainty analysis for drought stress parameters in the ORYZA (v3) model

Abiotic Stress Tolerance-Progress and Pathways of Sustainable Rice Production

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