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Quantifying and Understanding Plant Nitrogen Uptake for Systems Modeling (Paperback): Liwang Ma, Lajpat R. Ahuja, Tom Bruulsema Quantifying and Understanding Plant Nitrogen Uptake for Systems Modeling (Paperback)
Liwang Ma, Lajpat R. Ahuja, Tom Bruulsema
R1,963 Discovery Miles 19 630 Ships in 12 - 17 working days

Discusses New Advancements to Improve Existing Simulations of Plant Nitrogen Written by research pioneers and leading scientists in the area of agricultural systems, Quantifying and Understanding Plant Nitrogen Uptake for Systems Modeling comprehensively covers plant N uptake in agricultural system models, especially for building soil-plant system models. The text illustrates how to minimize the transportation of nitrogen fertilizers in crop production to surface and ground waters, as even moderate errors in uptake estimations lead to a dramatic increase in the amount of nitrogen leached into groundwater. It also highlights the knowledge gaps preventing correct simulation of this process and explains what to look for when using a system model and interpreting simulation results. Applies to a Variety of Crops, Including Oilseed, Wheat, Potatoes, and Maize Addressing quantification and synthesis in the context of system modeling, this text introduces cutting-edge and original information regarding N uptake not previously offered by other research texts in the field. This, in turn, benefits scientists, professors, system modelers, and model users in interpreting modeling results for enhancing nitrogen management and developing decision support tools. This volume documents, with complex, detailed models, plant N uptake based on absorption kinetics of transporters across the root cell membranes, mass flow, and diffusion to the root surface of single or composite roots. It also provides simpler models used in N uptake simulations at the field and watershed scales. Discusses All Areas of the Complex Process In addition to the important processes of nitrogen translocation, remobilization, and grain protein formation, the book documents various philosophies, mechanisms, and scales in simul

Agricultural System Models - in Field Research and Technology Transfer (Paperback): Lajpat R. Ahuja, Liwang Ma, Terry A. Howell Agricultural System Models - in Field Research and Technology Transfer (Paperback)
Lajpat R. Ahuja, Liwang Ma, Terry A. Howell
R1,880 Discovery Miles 18 800 Ships in 12 - 17 working days

Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Research and Technology Transfer fills this need. It presents the latest advances in the use of various computer models in agricultural management systems. This authoritative reference provides guidance on the use of models in field research, decision support, precision farming, and technology transfer to farmers and ranchers. Derived from an international symposium co-sponsored by the American Society of Agronomy, the Soil Science Society of America, and the USDA's Agricultural Research Service, it analyzes current system model applications for the modeling of natural resources, crop production, grazing lands, and animal production systems. Leading international agricultural system scientists present their experiences and provide guidance on how models can be used to enhance the quality of field research, transfer of research information and technology to farmers and ranchers, and decision support for agricultural management. They provide an expert review of the existing problems and possible solutions to improve future applications. In addition, Agricultural System Models in Field Research and Technology Transfer explores the possible use of an international modular computer framework to improve current modeling procedures in an effort to develop problem-specific models in the future.

Quantifying and Understanding Plant Nitrogen Uptake for Systems Modeling (Hardcover): Liwang Ma, Lajpat R. Ahuja, Tom Bruulsema Quantifying and Understanding Plant Nitrogen Uptake for Systems Modeling (Hardcover)
Liwang Ma, Lajpat R. Ahuja, Tom Bruulsema
R5,499 Discovery Miles 54 990 Ships in 12 - 17 working days

Written by research pioneers and leading scientists in the area of agricultural systems, Quantifying and Understanding Plant Nitrogen Uptake for Systems Modeling comprehensively covers plant N uptake in agricultural system models, especially for building soil-plant system models.

The text illustrates how to minimize the transportation of nitrogen fertilizers in crop production to surface and ground waters, as even moderate errors in uptake estimations lead to a dramatic increase in the amount of nitrogen leached into groundwater. It also highlights the knowledge gaps preventing correct simulation of this process and explains what to look for when using a system model and interpreting simulation results.

Applies to a Variety of Crops, Including Oilseed, Wheat, Potatoes, and Maize

Addressing quantification and synthesis in the context of system modeling, this text introduces cutting-edge and original information regarding N uptake not previously offered by other research texts in the field. This, in turn, benefits scientists, professors, system modelers, and model users in interpreting modeling results for enhancing nitrogen management and developing decision support tools.

This volume documents, with complex, detailed models, plant N uptake based on absorption kinetics of transporters across the root cell membranes, mass flow, and diffusion to the root surface of single or composite roots. It also provides simpler models used in N uptake simulations at the field and watershed scales.

Discusses All Areas of the Complex Process

In addition to the important processes of nitrogen translocation, remobilization, and grain protein formation, the book documents variousphilosophies, mechanisms, and scales in simulating plant N uptake in agricultural system models, while providing an extensive review of the uptake of dissolved organic nitrogen by plants in ecosystems.

Agricultural System Models - in Field Research and Technology Transfer (Hardcover): Lajpat R. Ahuja, Liwang Ma, Terry A. Howell Agricultural System Models - in Field Research and Technology Transfer (Hardcover)
Lajpat R. Ahuja, Liwang Ma, Terry A. Howell
R7,603 Discovery Miles 76 030 Ships in 12 - 17 working days

Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Research and Technology Transfer fills this need. It presents the latest advances in the use of various computer models in agricultural management systems.

This authoritative reference provides guidance on the use of models in field research, decision support, precision farming, and technology transfer to farmers and ranchers. Derived from an international symposium co-sponsored by the American Society of Agronomy, the Soil Science Society of America, and the USDA's Agricultural Research Service, it analyzes current system model applications for the modeling of natural resources, crop production, grazing lands, and animal production systems.

Leading international agricultural system scientists present their experiences and provide guidance on how models can be used to enhance the quality of field research, transfer of research information and technology to farmers and ranchers, and decision support for agricultural management. They provide an expert review of the existing problems and possible solutions to improve future applications. In addition, Agricultural System Models in Field Research and Technology Transfer explores the possible use of an international modular computer framework to improve current modeling procedures in an effort to develop problem-specific models in the future.

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