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Nimai Senapati
Rothamsted Research
10Publications
4H-index
53Citations
Publications 10
Newest
#1Nimai Senapati (Rothamsted Research)H-Index: 4
#2Mikhail A. Semenov (Rothamsted Research)H-Index: 46
Designing crop ideotypes in silico is a powerful tool to explore the crop yield potential and yield gap. We defined yield gap as the difference between yield potential of a crop ideotype optimized under local environment and yield of an existing cultivar under optimal management. Wheat ideotypes were designed for the current climate using the Sirius model for both water-limited and irrigated conditions in two high wheat-productive countries viz. the United Kingdom (UK) and New Zealand (NZ) with ...
1 CitationsSource
#1Nimai Senapati (Rothamsted Research)H-Index: 4
#2Hamish E. Brown (Plant & Food Research)H-Index: 19
Last.Mikhail A. Semenov (Rothamsted Research)H-Index: 46
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Abstract Designing crop ideotype is an important step to raise genetic yield potential in a target environment. In the present study, we designed wheat ideotypes based on the state-of-the-art knowledge in crop physiology to increase genetic yield potential for the 2050-climate, as projected by the HadGEM2 global climate model for the RCP8.5 emission scenario, in two high-wheat-productive countries, viz. the United Kingdom (UK) and New Zealand (NZ). Wheat ideotypes were optimized to maximize yiel...
1 CitationsSource
#1Nimai Senapati (Rothamsted Research)H-Index: 4
#2Pierre Stratonovitch (Rothamsted Research)H-Index: 20
Last.Mikhail A. Semenov (Rothamsted Research)H-Index: 46
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Drought stress during reproductive development could drastically reduce wheat grain number and yield, but quantitative evaluation of such an effect is unknown under climate change. The objectives of this study were to evaluate potential yield benefits of drought tolerance during reproductive development for wheat ideotypes under climate change in Europe, and to identify potential cultivar parameters for improvement. We used the Sirius wheat model to optimize drought-tolerant (DT) and drought-sen...
10 CitationsSource
#1Nicolas PucheH-Index: 2
#2Nimai SenapatiH-Index: 4
Last.Abad ChabbiH-Index: 22
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The CenW ecosystem model simulates carbon, water, and nitrogen cycles following ecophysiological processes and management practices on a daily basis. We tested and evaluated the model using five years eddy covariance measurements from two adjacent but differently managed grasslands in France. The data were used to independently parameterize CenW for the two grassland sites. Very good agreements, i.e., high model efficiencies and correlations, between observed and modeled fluxes were achieved. We...
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#1Nimai Senapati (Agro ParisTech)H-Index: 4
#2Abad Chabbi (Agro ParisTech)H-Index: 22
Last.Pete Smith (Aberd.: University of Aberdeen)H-Index: 130
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Abstract Croplands are important not only for food and fibre, but also for their global climate change mitigation and carbon (C) sequestration potentials. Measurements and modelling of daily C fluxes and annual C balance, which are needed for optimizing such global potentials in croplands, are difficult since many measurements, and the correct simulation of different ecosystem processes are needed. In the present study, a biogeochemical ecosystem model (DailyDayCent) was applied to simulate dail...
1 CitationsSource
#1Nimai Senapati (INRA: Institut national de la recherche agronomique)H-Index: 4
#2Abad Chabbi (INRA: Institut national de la recherche agronomique)H-Index: 22
Last.Pete Smith (Aberd.: University of Aberdeen)H-Index: 130
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The DailyDayCent biogeochemical model was used to simulate nitrous oxide (N2O) emissions from two contrasting agro-ecosystems viz. a mown-grassland and a grain-cropping system in France. Model performance was tested using high frequency measurements over three years; additionally a local sensitivity analysis was performed. Annual N2O emissions of 1.97 and 1.24 kg N ha− 1 year− 1 were simulated from mown-grassland and grain-cropland, respectively. Measured and simulated water filled pore space (r...
10 CitationsSource
#1Nimai Senapati (INRA: Institut national de la recherche agronomique)H-Index: 4
#2Per-Erik Jansson (KTH: Royal Institute of Technology)H-Index: 31
Last.Abad Chabbi (INRA: Institut national de la recherche agronomique)H-Index: 22
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A Monte Carlo-based calibration and uncertainty assessment was performed for heat, water and carbon (C) fluxes, simulated by a soil-plant-atmosphere system model (CoupModel), in mown grassland. Impact of different multi-objective and multi-criteria constraints was investigated on model performance and parameter behaviour. Good agreements between hourly modelled and measurement data were obtained for latent and sensible heat fluxes (R2?=?0.61, ME?=?0.48?MJ?m-2?day-1), soil water contents (R2?=?0....
12 CitationsSource
#1Abad ChabbiH-Index: 22
#2Nimai SenapatiH-Index: 4
Last.A. F. GiostriH-Index: 3
view all 3 authors...
#1Nimai SenapatiH-Index: 4
#2Abad ChabbiH-Index: 22
#1Nimai Senapati (INRA: Institut national de la recherche agronomique)H-Index: 4
#2Abad Chabbi (INRA: Institut national de la recherche agronomique)H-Index: 22
Last.Christophe Naisse (INRA: Institut national de la recherche agronomique)H-Index: 1
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Background: Managed temperate grassland has the potential to sequester carbon if management practices are improved. In this study, CO2 flux was measured by the eddy covariance technique in two identical temperate sown grasslands under different managements, viz. mowing and grazing, to estimate and compare net carbon storage under both the management systems.Results: In both mowing and grazing systems, the averaged annual gross plant productivity, ecosystem respiration and net ecosystem exchange ...
18 CitationsSource
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