Deficit irrigation management for rice using crop growth simulation model in an optimization framework

Soundharajan, B.; Sudheer, K. P.

doi:10.1007/s10333-009-0156-z

Cited by 52 publications

(24 citation statements)

References 26 publications

(19 reference statements)

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“…ORYZA2000 is an updated integration of these models, and has been evaluated under N-limited conditions in the Philippines (Bouman and van Laar, 2006) and China (Jing et al, 2007;Tang et al, 2009), and under water-limited conditions in Indonesia (Boling et al, 2007), China (Xue et al, 2005;Feng et al, 2007), the Philippines (Belder et al, 2007) and India (Arora, 2006;Soundharajan and Sudheer, 2009). These authors reported satisfactory results in most cases.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the ORYZA2000 Rice Growth Model under Nitrogen-Limited Conditions in an Irrigated Mediterranean Environment

Artacho

Meza

Alcalde

2011

Chilean J. Agric. Res.

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ORYZA2000 is a growth model for tropical lowland rice (Oryza sativa L.) developed by the International Rice Research Institute and Wageningen University. This model has been evaluated extensively in a wide range of environments. However, reports examining japonica cultivars growing in temperate climates are scarce. In this study, ORYZA2000 was calibrated and evaluated using data from experiments carried out in the South-Central area of Chile. These experiments were performed on a japonica rice cultivar growing under an irrigated Mediterranean environment at various N rates. ORYZA2000 was then applied to explore potential yield and grain yield response to N fertilization under likely weather conditions in the major rice-producing area in Chile. ORYZA2000 was sufficiently accurate to simulate grain yield and crop N uptake at the end of the season. Final crop N uptake was simulated with a root mean squared error (RMSE) of 20 kg ha -1 (15%) and grain yield with a RMSE of 1666 kg ha -1 (19%). However, the prediction of biomass and N uptake of individual organs throughout the season was poor. A long-term simulation study confirmed a potential yield as high as 12 000 kg ha -1 in the Parral area, as well as the existence of a scope for yield increase. The yield response to N fertilization was predicted even at rates of 300 kg ha -1 , although a significant probability of low yields was also observed. This trend supports the need to incorporate dynamic N management in Chilean rice production.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the ORYZA2000 Rice Growth Model under Nitrogen-Limited Conditions in an Irrigated Mediterranean Environment

Artacho

Meza

Alcalde

2011

Chilean J. Agric. Res.

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“…Deficit irrigation has been successfully used on potatoes , tomatoes (Cristina et al, 2011), cotton (Fazlullah et al, 2013), rice (Soundharajan and Sudheer, 2009), forages (Neal et al, 2012;Neal et al, 2011), corn (Nader et al, 2010), oilseed rape (Istanbulluoglu et al, 2010), onion (Igbadun et al, 2012), and peach trees (Bartolomeo et al, 2007). It was also used in cereal crops and showed that it improved yield performance in winter wheat .…”

Section: Introductionmentioning

confidence: 99%

Response of winter wheat grain yield and water use efficiency to deficit irrigation in the North China Plain

Han

Yan

2018

Emir J Food Agric

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Water resources in the North China Plain (NCP) are limited, so it’s in urgent need to optimize deficit by irrigation for sustainable winter wheat production in this area. Winter wheat grain yield (GY), contribution of dry matter (DM) remobilization to GY (CDMRG), and water use efficiency (WUE) were investigated in NCP. Compared with non-irrigation treatment, irrigated with 60 mm each at the winter wheat jointing stage (JS) and heading stage (HS) achieved reasonable winter wheat GY and WUE. Compared with irrigation with 120 mm only at JS and irrigation with 40 mm each at JS, HS, and milking stage (MS) of winter wheat, irrigation with 60 mm each at JS and HS provided the highest CDMRG, which resulted to the highest GY and WUE; this result was mainly due to a significant increase of the spike numbers (SN) per m2. The results suggest that in the NCP, in order to achieve reasonable GY and WUE, winter wheat should be irrigated with 60 mm each at JS and HS.

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“…One notable study on optimization of limited irrigation water is the study conducted by Soundharajan and Sudheer (2009) entitled a simulation-optimization framework for developing optimal irrigation schedules for rice crop (Oryza sativa) under water deficit conditions. The results of the study were highly encouraging and suggest that by employing a calibrated crop growth model combined with an optimization algorithm can lead to achieve maximum water use efficiency.…”

Section: Review Of Related Literature and Studiesmentioning

confidence: 99%

IT field monitoring in a Japanese system of rice intensification (J-SRI)

Manzano

Mizoguchi

Mitsuishi

et al. 2010

Paddy Water Environ

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A demonstration study on Information Technology (IT) field monitoring was conducted in a rice field under the System of Rice Intensification (SRI) environment in Shinshiro City, Aichi Prefecture, Japan. The IT system used in this study consisted of an intelligent sensor node web-server that is equipped with in situ camera and sensor networks for agrometeorological, soil, and plant growth monitoring. Dynamic changes in soil moisture, water level, agrometeorological, and environmental conditions were measured and monitored. With this precision farming setup, understanding and easy assessment of the salient field conditions and phenomena such as cyclic soil wetting and drying as well as critical crop growth stages were made possible. Based on the findings of the demonstration experiment, the system was effective, reliable, and efficient in monitoring soil moisture parameters and agrometeorological information in remote rice field environment. The actual field conditions were captured well by a combination of images, numerical, and graphical data sets. With this precise information, the frequency of irrigation was found to be every 7 days. The rice field was irrigated up to a moisture level of 0.592 m 3 /m 3 (*600 mV) and allowed to be depleted to a moisture level of 0.417 m 3 /m 3 (*400 mV). With this alternate drying and wetting method (AWD), a 25.71% of irrigation water was saved. In this study, rice production was made more scientific and more reliable. Hence, the use of IT field monitoring system represented a viable medium for the realization of better rice productivity which leads to the ethic of sustainable agriculture.

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Deficit irrigation management for rice using crop growth simulation model in an optimization framework

Cited by 52 publications

References 26 publications

Evaluation of the ORYZA2000 Rice Growth Model under Nitrogen-Limited Conditions in an Irrigated Mediterranean Environment

Evaluation of the ORYZA2000 Rice Growth Model under Nitrogen-Limited Conditions in an Irrigated Mediterranean Environment

Response of winter wheat grain yield and water use efficiency to deficit irrigation in the North China Plain

IT field monitoring in a Japanese system of rice intensification (J-SRI)

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