scholarly journals Correction to: Identifying crop yield gaps with site- and season-specific data-driven models of yield potential

2021 ◽  
Author(s):  
Patrick Filippi ◽  
Brett M. Whelan ◽  
R. Willem Vervoort ◽  
Thomas F. A. Bishop
Keyword(s):  
Crop Yield ◽  
Data Driven ◽  
Yield Potential ◽  
Specific Data ◽  
Yield Gaps

Identifying crop yield gaps with site- and season-specific data-driven models of yield potential

2021 ◽  
Author(s):  
Patrick Filippi ◽  
Brett M. Whelan ◽  
R. Willem Vervoort ◽  
Thomas F. A. Bishop
Keyword(s):  
Crop Yield ◽  
Data Driven ◽  
Yield Potential ◽  
Specific Data ◽  
Yield Gaps

Quality and Crop Yield Potential of Moderately Degraded Alfisols Under Different Nutrient Inputs and Cropping Patterns

Pedosphere ◽  
2019 ◽  
Vol 29 (2) ◽  
pp. 235-247 ◽  
Author(s):  
Wiqar AHMAD ◽  
Farmanullah KHAN ◽  
Zahir SHAH ◽  
Muhammad Jamal KHAN
Keyword(s):  
Crop Yield ◽  
Yield Potential ◽  
Nutrient Inputs ◽  
Cropping Patterns

Analyzing crop yield gaps and their causes using cropping systems modelling–A case study of the Punjab rice-wheat system, Pakistan

2019 ◽  
Vol 232 ◽  
pp. 119-130 ◽  
Author(s):  
Tasneem Khaliq ◽  
Donald S. Gaydon ◽  
Mobin-ud-Din Ahmad ◽  
M.J.M. Cheema ◽  
Umair Gull
Keyword(s):  
Crop Yield ◽  
Cropping Systems ◽  
Yield Gaps ◽  
Systems Modelling

scholarly journals Closing Yield Gaps through Soil Improvement for Maize Production in Coastal Saline Soil

Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 573 ◽  
Author(s):  
Jishi Zhang ◽  
Xilong Jiang ◽  
Yanfang Xue ◽  
Zongxin Li ◽  
Botao Yu ◽  
...  
Keyword(s):  
Crop Production ◽  
High Salinity ◽  
Saline Soil ◽  
Soil Layer ◽  
Soil Improvement ◽  
Salinity Level ◽  
Yield Potential ◽  
Coastal Saline Soil ◽  
Salinity Levels ◽  
Yield Gaps

As efforts to close crop production yield gaps increase, the need has emerged to identify cost-effective strategies to reduce yield losses through soil improvement. Maize (Zea mays L.) production in coastal saline soil is limited by high salinity and high pH, and a limited number of soil amendment options are available. We performed a field experiment in 2015 and 2016 to evaluate the ability of combined flue gas desulfurization gypsum and furfural residue application (CA) to reduce the maize yield gap and improve soil properties. We carried out the same amendment treatments (CA and no amendment as a control) under moderate (electrical conductivity (EC1:1) ≈ 4 dS m−1) and high (EC1:1 ≈ 6 dS m−1) salinity levels. Averaged over all salinity levels and years, maize yields increased from 32.6% of yield potential in the control to 44.2% with the CA treatments. Post-harvest CA treatment increased the calcium (Ca2+) and soil organic carbon (SOC) contents while decreasing the sodium (Na+) content and pH in the upper soil layer. Corresponding nitrogen, phosphorus, potassium, calcium, and magnesium accumulations in maize were significantly increased, and Na accumulation was decreased in the CA group compared with the control. The economic return associated with CA treatment increased by 215 $ ha−1 at the high salinity level compared with the control, but decreased at the moderate salinity level because of the minor increase in yield. The results of this study provide insight into the reduction of yield gaps by addressing soil constraints.

scholarly journals Relationship between Grain Crop Yield Potential and Nitrogen Response

2013 ◽  
Vol 105 (5) ◽  
pp. 1335-1344 ◽  
Author(s):  
D. B. Arnall ◽  
A. P. Mallarino ◽  
M. D. Ruark ◽  
G. E. Varvel ◽  
J. B. Solie ◽  
...  
Keyword(s):  
Crop Yield ◽  
Yield Potential ◽  
Nitrogen Response ◽  
Grain Crop

scholarly journals The power of modeling in emergency preparedness for COVID-19: a moonshot moment for hospitals

2021 ◽  
pp. 1-10
Author(s):  
Kyan C. Safavi ◽  
Ann L. Prestipino ◽  
Ana Cecilia Zenteno Langle ◽  
Martin Copenhaver ◽  
Michael Hu ◽  
...  
Keyword(s):  
New England ◽  
Emergency Preparedness ◽  
Statistical Models ◽  
Operational Planning ◽  
Data Driven ◽  
Major Objective ◽  
Response Models ◽  
Specific Data ◽  
Clinical Leadership ◽  
Future Patient

Abstract Prior to COVID-19, few hospitals had fully tested emergency surge plans. Uncertainty in the timing and degree of surge complicates planning efforts, putting hospitals at risk of being overwhelmed. Many lack access to hospital-specific, data-driven projections of future patient demand to guide operational planning. Our hospital experienced one of the largest surges in New England. We developed statistical models to project hospitalizations during the first wave of the pandemic. We describe how we used these models to meet key planning objectives. To build the models successfully, we emphasize the criticality of having a team that combines data scientists with frontline operational and clinical leadership. While modeling was a cornerstone of our response, models currently available to most hospitals are built outside of their institution and are difficult to translate to their environment for operational planning. Creating data-driven, hospital-specific, and operationally relevant surge targets and activation triggers should be a major objective of all health systems.

scholarly journals Use of agro-climatic zones to upscale simulated crop yield potential

2013 ◽  
Vol 143 ◽  
pp. 44-55 ◽  
Author(s):  
Justin van Wart ◽  
Lenny G.J. van Bussel ◽  
Joost Wolf ◽  
Rachel Licker ◽  
Patricio Grassini ◽  
...  
Keyword(s):  
Crop Yield ◽  
Yield Potential ◽  
Climatic Zones

Event-Based Concepts for User-Driven Visualization

2009 ◽  
Vol 10 (1) ◽  
pp. 65-81 ◽  
Author(s):  
Christian Tominski
Keyword(s):  
General Model ◽  
Visual Representations ◽  
Data Driven ◽  
Relational Data ◽  
Temporal Data ◽  
Specific Data ◽  
Spatio Temporal ◽  
Visualization Technology ◽  
Event Based

Visualization has become an increasingly important tool to support exploration and analysis of the large volumes of data we are facing today. However, interests and needs of users are still not being considered sufficiently. The goal of this work is to shift the user into the focus. To that end, we apply the concept of event-based visualization that combines event-based methodology and visualization technology. Previous approaches that make use of events are mostly specific to a particular application case, and hence, can not be applied otherwise. We introduce a novel general model of event-based visualization that comprises three fundamental stages. (1) Users are enabled to specify what their interests are. (2) During visualization, matches of these interests are sought in the data. (3) It is then possible to automatically adjust visual representations according to the detected matches. This way, it is possible to generate visual representations that better reflect what users need for their task at hand. The model's generality allows its application in many visualization contexts. We substantiate the general model with specific data-driven events that focus on relational data so prevalent in today's visualization scenarios. We show how the developed methods and concepts can be implemented in an interactive event-based visualization framework, which includes event-enhanced visualizations for temporal and spatio-temporal data.

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