A Quantitative Knowledge-based Model for Designing Suitable Growth Dynamics in Rice

Yan, Denghua; Zhu, Yan; Wang, Shaohua; Cao, Weixing

doi:10.1626/pps.9.93

Cited by 29 publications

(20 citation statements)

References 23 publications

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“…Precise assessment and evaluation for the crop growth in situ are required to improve the crop growth diagnosis and propose better farm management and practices over an area (Yan et al, 2006). Under these circumstances, remote sensing from space-borne image sensors may help collect data over a wide area with less effort (Asaka et al, 2006;Akiyama, 2007;Ishitsuka and Yasuda, 2007).…”

mentioning

confidence: 99%

Continuous Monitoring of Visible and Near-Infrared Band Reflectance from a Rice Paddy for Determining Nitrogen Uptake Using Digital Cameras

Shibayama

Sakamoto

Takada

et al. 2009

Plant Production Science

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mentioning

confidence: 99%

Continuous Monitoring of Visible and Near-Infrared Band Reflectance from a Rice Paddy for Determining Nitrogen Uptake Using Digital Cameras

Shibayama

Sakamoto

Takada

et al. 2009

Plant Production Science

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“…B a s e d o n t h e f r a m e w o r k o f p r e v i o u s c r o p management knowledge models (Yan et al, 2006;Zhu et al, 2007), we developed a nitrogen fertilization model. The nitrogen fertilization model adopted soil The implemented nitrogen fertilization model can be used to design various nitrogen fertilizer strategies under different climates, soils types and production levels at different regions.…”

Section: Discussionmentioning

confidence: 99%

“…Based on the framework of crop management knowledge model (Yan et al, 2006;Zhu et al, 2007), we developed a nitrogen fertilization model for N fertilizer management with the basic structure shown in Fig. 1.…”

Section: Model Descriptionmentioning

confidence: 99%

A Knowledge-Based Model for Nitrogen Management in Rice and Wheat

Cao

Jing

Zhu

et al. 2009

Plant Production Science

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: Excessive nitrogen fertilization results in low nitrogen-use effi ciency. To improve nitrogen management for high yield and high nitrogen efficiency in rice and wheat, we developed a knowledge-based nitrogen fertilization model by integrating the quantitative relationship between N fertilization and yield target with respect to N supply and demand balance. The total amount of nitrogen and ratio of basal to top dressing nitrogen could be determined by this nitrogen fertilization model, and the desirable nitrogen fertilizer strategies could be made under the conditions of different climates, soil types and managements. Furthermore, the function of dynamic regulation of pre-designed N dressing rate could be determined by using the nitrogen fertilization model on the basis of actual growth status under a specific production system. The nitrogen fertilization model is evaluated using the data from field experiments of rice and wheat at Nanjing, and the results on crop growth pattern and N use showed that the grain yield and N recovery were markedly improved by the N fertilization plan given by the model. The nitrogen fertilization model can be used as guidance for quantifying N fertilization strategy in cereal crop production.

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“…The beginning of the climatological growing season is specified as the first occurrence of a five-day moving average daily temperature greater than 10 • C with an 80% probability. The end of the climatological growing season is specified as the last occurrence of a five-day moving average daily temperature greater than 15 • C with an 80% probability (Gao and Li, 1992;Gao et al, 1983Gao et al, , 1987Yan et al, 2004).…”

Section: Suitable Distribution Indices For the Main Rice Cropping Sysmentioning

confidence: 99%

Effects of climate change on suitable rice cropping areas, cropping systems and crop water requirements in southern China

Yang

Dai

et al. 2015

Agricultural Water Management

120

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a b s t r a c tRice is one of the main crops grown in southern China. Global climate change has significantly altered the local water availability and temperature regime for rice production. In this study, we explored the influence of climate change on suitable rice cropping areas, rice cropping systems and crop water requirements (CWRs) during the growing season for historical (from 1951 to 2010) and future (from 2011 to 2100) time periods. The results indicated that the land areas suitable for rice cropping systems shifted northward and westward from 1951 to 2100 but with different amplitudes. The land areas suitable for single ricecropping systems (SRCS) and early double rice-cropping systems (EDRCS) decreased, whereas the land areas suitable for middle double rice-cropping systems (MDRCS) and late double rice-cropping systems (LDRCS) expanded significantly. Among the rice-cropping systems, the planting area suitable for SRCS was the largest during the historical period , whereas the suitable planting area for LDRCS was the largest during the future period (2070-2100). Spatially, the water requirement of rice during the growing season exhibited a decreasing trend from southeast to northwest from 1951 to 2010. Temporally, the regional water requirement of rice during the growing season decreased from 720 mm to 700 mm (1981-2010) as a result of solar radiation and evapotranspiration. However, the water requirement was predicted to increase from 1027 mm to 1150 mm (2071-2100). During the past six decades, the planting area suitable for double rice-cropping systems increased by 2.7 × 10 4 km 2 and, consequently, the CWR and irrigation water requirement (IWR) increased by 1.1 × 10 10 and 8.8 × 10 9 m 3 , respectively. In addition, under A1B scenarios, the CWR and IWR of double rice-cropping systems are expected to increase by 1.6 × 10 11 and 1.2 × 10 11 m 3 , respectively, from 2071-2100 compared with the historical period of 1951-1980. The regional CWR and IWR were predicted to increase respectively by 8% and 6% from 2011 to 2040, by 17% and 19% from 2041 to 2070, and by 20% and 24% from 2071 to 2100 compared with 1951-1980. These increases can be attributed to climate warming, which expands the suitable planting area for multiple-cropping systems and extends the growing season for late-maturing rice varieties. Our study aims to provide a scientific guide for planning future cropping systems and optimizing water management in the southern rice cropping region of China.

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A Quantitative Knowledge-based Model for Designing Suitable Growth Dynamics in Rice

Cited by 29 publications

References 23 publications

Continuous Monitoring of Visible and Near-Infrared Band Reflectance from a Rice Paddy for Determining Nitrogen Uptake Using Digital Cameras

Continuous Monitoring of Visible and Near-Infrared Band Reflectance from a Rice Paddy for Determining Nitrogen Uptake Using Digital Cameras

A Knowledge-Based Model for Nitrogen Management in Rice and Wheat

Effects of climate change on suitable rice cropping areas, cropping systems and crop water requirements in southern China

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