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04653aam a22004098i 4500 001 B59CD876122B11EDB028045E3CECA4DB 003 SILO 005 20220802012256 008 220413s2022 nju b 001 0 eng 010 $a 2022017472 020 $a 0891183906 020 $a 9780891183907 035 $a (OCoLC)1329430932 040 $a DNAL/DLC $b eng $e rda $c DLC $d SILO 042 $a pcc 050 00 $a S566.5 E54 2022 245 00 $a Enhancing agricultural research and precision management for subsistence farming by integrating system models with experiments / $c Dennis J. Timlin, Saseendran S. Anapalli. 250 $a First edition. 263 $a 2208 264 1 $a Hoboken, NJ : $b Wiley, $c [2022] 300 $a pages cm 490 1 $a Advances in agricultural systems modeling ; $v Volume 9 504 $a Includes bibliographical references and index. 505 00 $g 8. -- $t Constraints to productivity of subsistence dryland agroecosystems in the fertile crescent: simulation and statistical modeling. $g 2. -- $t Modeling soil erosion impacts and trade-offs of sustainable land management practices in the upper tana region of the central highlands in Kenya -- $g 3. -- $t Using crop simulation models as tools to quantify effects of crop management practices and climate change scenarios on wheat yields in northern Ethiopia -- $g 4. -- The $t role of crop simulation modeling in managing fertilizer use in maize production systems in northern Ghana -- $g 5. -- $t Modeling water dynamics for assessing and managing ecosystem services in India -- $g 6. -- $t Modeling agricultural hydrology and water productivity to enhance water management in the arid irrigation district of China -- $g 7. -- $t Use of data and models in simulating regional and geospatial variations in climate change impacts on rice and barley in the republic of Korea -- $g 8. -- $t Constraints to productivity of subsistence dryland agroecosystems in the fertile crescent: simulation and statistical modeling. 520 $a "Environmental concerns of the general public, droughts, and climate change effects require continual adaptation and optimization of agricultural systems through changes in cropping and management. Advancement of science and technology to achieve these changes requires cutting-edge field research, using a quantitative whole-system approach. Process-based models of agricultural systems integrated with field research provide such a systems approach. The models help: 1) quantify field research results in terms of the fundamental theory and concepts that are broadly applicable beyond the site-specific empirical relationships, 2) predict experimental results from knowledge of the fundamental factors that determine the environment and plant growth under different climates, 3) extend the experimental results to longer term weather conditions beyond the limited duration of the field experiments and to other soil types and climates in the area outside the experimental plots, and 4) use extended results to develop broad-based precision management decision support tools or simple management guidelines for producers and other users, which may include linkage to economic and social considerations. As a result, the models are also continually improved and serve as an evolving theoretical backbone of complex agricultural system research and information transfer. In the last three decades, considerable progress has been made on the applications of models for evaluating and improving current agricultural systems for optimal management of water, nutrients, and cultivar resources under varying climates, especially in developed countries. Importantly, these applications were made in collaboration with field research scientists at several locations. Key areas of further trans-disciplinary research, synthesis, and improvement of the modeling backbone have also been identified"-- $c Provided by publisher. 530 $a Also available online. 650 0 $a Agricultural systems $x Mathematical models. 650 0 $a Subsistence farming. 650 0 $a Agriculture $x Mathematical models. $x Mathematical models. 700 1 $a Timlin, D., $e editor. 700 1 $a Anapalli, Saseendran S., $e editor. 776 08 $i Online version: $t Enhancing agricultural research and precision management for subsistence farming by integrating system models with experiments $b First edition. $d Hoboken, NJ : Wiley, 2022 $z 9780891183921 $w (DLC) 2022017473 830 0 $a Advances in agricultural systems modeling ; $v v.9. 941 $a 1 952 $l USUX851 $d 20220902015413.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=B59CD876122B11EDB028045E3CECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search