Evaluation of weather-based rice yield models in India

Sudharsan, D.; Adinarayana, J.; Reddy, D. Sreekantha; Sreenivas, G.; Ninomiya, S.; Hirafuji, Masayuki; Kiura, Takuji; Tanaka, Kei; Desai, U.B.; Merchant, S. N.

doi:10.1007/s00484-012-0538-6

Cited by 21 publications

(6 citation statements)

References 15 publications

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“…Rice, being one of the major cereal food crops of Asia, may become susceptible to future climate change wherein water scarcity in combination with increased temperature may result in poor crop productivity and yield. In India, it is cultivated in about 150 million hectares, producing 132 billion metric tons, which covers about 26 % of the global rice production (Sudharshan et al 2013). Climatically rice may be considered as the most adaptable cereal, as its cultivation extends from banks of Amur River at 53°North latitude to Central Argentina at 40°South latitude (Subrahmanyam et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Gas exchange, carbon balance and stomatal traits in wild and cultivated rice (Oryza sativa L.) genotypes

et al. 2016

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Carbon balancing within the plant species is an important feature for climatic adaptability. Photosynthesis and respiration traits are directly linked with carbon balance. These features were studied in 20 wild rice accessions Oryza spp., and cultivars. Wide variation was observed within the wild rice accessions for photosynthetic oxygen evolution or photosynthetic rate (A), dark (R d ), and light induced respiration (LIR) rates, as well as stomatal density and number. The mean rate of A varied from 10.49 lmol O 2 m -2 s -1 in cultivated species and 13.09 lmol O 2 m -2 s -1 in wild spp., The mean R d is 2.09 lmol O 2 m -2 s -1 and 2.31 lmol O 2 m -2 s -1 in cultivated and wild spp., respectively. Light induced Respiration (LIR) was found to be almost twice in wild rice spp., (16.75 lmol O 2 m -2 s -1 ) compared to cultivated Oryza spp., Among the various parameters, this study reveals LIR and A as the key factors for positive carbon balance. Stomatal contribution towards carbon balance appears to be more dependent on abaxial surface where several number of stomata are situated. Correlation analysis indicates that R d and LIR increase with the increase in A. In this study, O. nivara (CR 100100, CR 100097), O. rufipogon (IR 103404) and O. glumaepatula (IR104387) were identified as potential donors which could be used in rice breeding program. Coordination between gas exchange and patchiness in stomatal behaviour appears to be important for carbon balance and environmental adaptation of wild rice accessions, therefore, survival under harsh environment.

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Section: Introductionmentioning

confidence: 99%

Gas exchange, carbon balance and stomatal traits in wild and cultivated rice (Oryza sativa L.) genotypes

et al. 2016

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“…PAR plays an important role in climate change because it is approximately 50% of the energy from solar radiation (Jacovides et al, ). Therefore, PAR is a key parameter in most terrestrial ecosystem models for the accurate calculation of the photosynthesis process (Mayer et al, ; Janjai and Wattan, ; Sudharsan et al, ). Moreover, PAR also plays a vital role in agricultural initiatives and forestry projects (Beer et al, ; Kanniah et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…is a key parameter in most terrestrial ecosystem models for the accurate calculation of the photosynthesis process (Mayer et al, 2002;Janjai and Wattan, 2011;Sudharsan et al, 2013). Moreover, PAR also plays a vital role in agricultural initiatives and forestry projects (Beer et al, 2010;Kanniah et al, 2013).…”

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confidence: 99%

Trends of photosynthetically active radiation over China from 1961 to 2014

Tang

Liu

et al. 2018

Intl Journal of Climatology

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The aim of this study was to reveal the long‐term variation properties of photosynthetically active radiation (PAR) over China. A series of reliable empirical PAR estimation equations suitable for all‐sky conditions were developed using data measured in situ from 2005 to 2014, which were obtained from the Chinese Ecosystem Research Network (CERN). These equations were then combined with a hybrid model to reconstruct the PAR from 1961 to 2014 for 724 weather stations belonging to the China Meteorological Administration (CMA). There was a decreasing linear trend in the PAR (with an amplitude of −0.009 mol m−2 day−1 year−1) from 1961 to 1981 and a steady low level of −0.003 mol m−2 day−1 year−1 during 1981–2014 for all of China. The PAR over the Tibetan Plateau (TP) region increased from 1961 to 1984; then, this linear trend slightly changed. The breakpoint years for the northwest China (NWC), southwest China (SWC), north China (NC), northeast China (NEC) and east China (EC) regions were 1985, 1981, 1996, 1998 and 1979, respectively. In addition, the aerosol optical depth, ozone column concentration, cloud cover and water vapour content attenuated the PAR that would otherwise have reached the earth’s surface by approximately 7.59, 1.12, 18.13 and 6.20%, respectively.

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“…광, 온도, CO 2 조건 등의 외부자극에 대한 작물의 생육특성을 모의하는지, 작물-토양간의 다양한 process를 모의하는지, 작물-토양-환경에서 양분의 유출 등의 환경영향에 대한 농업생태계의 특정 변수에 대해 설명하는지에 따라 모형의 모의 기작과 모의 수준이 달라진다. 작물생육모형은 외부환경조건들의 변이에 따른 작물생장상태를 시간에 따라 예측하는 수식들의 집합으로 (Lim and Lee, 2009), 초기의 작물 주요 생리작용의 평가 수준에서 다양한 환경조건에서의 생장 또는 재배관리방법에 따 른 양분의 거동, 분배 및 작물 경제성 분석까지 가능한 정도로 발전하였다 (Jones et al, 2003 (Bouma and Jones, 2001;Sudharsan et al, 2013;Jeong et al, 2014). DSSAT은 작물의 영양생 장 및 생식생장단계에 따른 광합성, 호흡, 광합성물질의 분배, 식물 성장, 노화 등의 생리학적 과정을 모의할 수 있다.…”

Section: Introductionunclassified

Analysis of components and applications of major crop models for nutrient management in agricultural land

2016

Korean Journal of Agricultural Science

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The development of models for agriculture systems, especially for crop production, has supported the prediction of crop yields under various environmental change scenarios and the selection of better crop species or cultivar. Crop models could be used as tools for supporting reasonable nutrient management approaches for agricultural land. This paper outlines the simplified structure of main crop models (crop growth model, crop-soil model, and cropsoil-environment model) frequently used in agricultural systems and shows diverse application of their simulated results. Crop growth models such as LINTUL, SUCROS, could provide simulated data for daily growth, potential production, and photosynthesis assimilate partitioning to various organs with different physiological stages, and for evaluating crop nutrient demand. Crop-Soil models (DSSAT, APSIM, WOFOST, QUEFTS) simulate growth, development, and yields of crops; soil processes describing nutrient uptake from root zone; and soil nutrient supply capability, e.g., mineralization/decomposition of soil organic matter. The crop model built for the DSSAT family software has limitations in spatial variability due to its simulation mechanism based on a single homogeneous field unit. To introduce well-performing crop models, the potential applications for crop-soil-environment models such as DSSAT, APSIM, or even a newly designed model, should first be compared. The parameterization of various crops under different cultivation conditions like those of intensive farming systems common in Korea, shortened crop growth period, should be considered as well as various resource inputs.

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Evaluation of weather-based rice yield models in India

Cited by 21 publications

References 15 publications

Gas exchange, carbon balance and stomatal traits in wild and cultivated rice (Oryza sativa L.) genotypes

Gas exchange, carbon balance and stomatal traits in wild and cultivated rice (Oryza sativa L.) genotypes

Trends of photosynthetically active radiation over China from 1961 to 2014

Analysis of components and applications of major crop models for nutrient management in agricultural land

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