Adaptation of C4 Bioenergy Crop Species to Various Environments within the Southern Great Plains of USA
As highly productive perennial grasses are evaluated as bioenergy feedstocks, a major consideration is biomass yield stability. Two experiments were conducted to examine some aspects of yield stability for two biofuel species: switchgrass (Panicum vigratum L.) and Miscanthus x giganteus (Mxg). Bioma...
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creator | Kim, Sumin Kiniry, James Williams, Amber Meki, Norman Gaston, Lewis Brakie, Melinda Shadow, Alan Fritschi, Felix Wu, Yanqi |
description | As highly productive perennial grasses are evaluated as bioenergy feedstocks, a major consideration is biomass yield stability. Two experiments were conducted to examine some aspects of yield stability for two biofuel species: switchgrass (Panicum vigratum L.) and Miscanthus x giganteus (Mxg). Biomass yields of these species were evaluated under various environmental conditions across the Southern Great Plains (SGP), including some sites with low soil fertility. In the first experiment, measured yields of four switchgrass ecotypes and Mxg varied among locations. Overall, plants showed optimal growth performance in study sites close to their geographical origins. Lowland switchgrass ecotypes and Mxg yields simulated by the ALMANAC model showed reasonable agreement with the measured yields across all study locations, while the simulated yields of upland switchgrass ecotypes were overestimated in northern locations. In the second experiment, examination of different N fertilizer rates revealed switchgrass yield increases over the range of 0, 80, or 160 kg N ha−1 year−1, while Mxg only showed yield increases between the low and medium N rates. This provides useful insights to crop management of two biofuel species and to enhance the predictive accuracy of process-based models, which are critical for developing bioenergy market systems in the SGP. |
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Two experiments were conducted to examine some aspects of yield stability for two biofuel species: switchgrass (Panicum vigratum L.) and Miscanthus x giganteus (Mxg). Biomass yields of these species were evaluated under various environmental conditions across the Southern Great Plains (SGP), including some sites with low soil fertility. In the first experiment, measured yields of four switchgrass ecotypes and Mxg varied among locations. Overall, plants showed optimal growth performance in study sites close to their geographical origins. Lowland switchgrass ecotypes and Mxg yields simulated by the ALMANAC model showed reasonable agreement with the measured yields across all study locations, while the simulated yields of upland switchgrass ecotypes were overestimated in northern locations. In the second experiment, examination of different N fertilizer rates revealed switchgrass yield increases over the range of 0, 80, or 160 kg N ha−1 year−1, while Mxg only showed yield increases between the low and medium N rates. This provides useful insights to crop management of two biofuel species and to enhance the predictive accuracy of process-based models, which are critical for developing bioenergy market systems in the SGP.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su9010089</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Adaptability ; Adaptation ; Agricultural production ; Alternative energy sources ; Biodiesel fuels ; Biofuels ; Biomass ; biomass production ; C4 plants ; Climate change ; Computer simulation ; crop management ; Crops ; ecotypes ; Energy crops ; Environmental conditions ; environmental factors ; Experiments ; feedstocks ; fertilizer rates ; Fertilizers ; Grasses ; Great Plains region ; growth performance ; highlands ; lowlands ; Miscanthus giganteus ; Model accuracy ; nitrogen fertilizers ; Panicum virgatum ; perennials ; Plant biomass ; Productivity ; provenance ; Raw materials ; Regions ; Renewable resources ; soil ; Soil fertility ; Soil sciences ; Stability analysis ; Sustainability ; United States</subject><ispartof>Sustainability, 2017-01, Vol.9 (1), p.89-89</ispartof><rights>Copyright MDPI AG 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-2e4793e2fa12a6d6caff181f659505698003a83df7c41a3900190c991ab736da3</citedby><cites>FETCH-LOGICAL-c358t-2e4793e2fa12a6d6caff181f659505698003a83df7c41a3900190c991ab736da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Kim, Sumin</creatorcontrib><creatorcontrib>Kiniry, James</creatorcontrib><creatorcontrib>Williams, Amber</creatorcontrib><creatorcontrib>Meki, Norman</creatorcontrib><creatorcontrib>Gaston, Lewis</creatorcontrib><creatorcontrib>Brakie, Melinda</creatorcontrib><creatorcontrib>Shadow, Alan</creatorcontrib><creatorcontrib>Fritschi, Felix</creatorcontrib><creatorcontrib>Wu, Yanqi</creatorcontrib><title>Adaptation of C4 Bioenergy Crop Species to Various Environments within the Southern Great Plains of USA</title><title>Sustainability</title><description>As highly productive perennial grasses are evaluated as bioenergy feedstocks, a major consideration is biomass yield stability. Two experiments were conducted to examine some aspects of yield stability for two biofuel species: switchgrass (Panicum vigratum L.) and Miscanthus x giganteus (Mxg). Biomass yields of these species were evaluated under various environmental conditions across the Southern Great Plains (SGP), including some sites with low soil fertility. In the first experiment, measured yields of four switchgrass ecotypes and Mxg varied among locations. Overall, plants showed optimal growth performance in study sites close to their geographical origins. Lowland switchgrass ecotypes and Mxg yields simulated by the ALMANAC model showed reasonable agreement with the measured yields across all study locations, while the simulated yields of upland switchgrass ecotypes were overestimated in northern locations. In the second experiment, examination of different N fertilizer rates revealed switchgrass yield increases over the range of 0, 80, or 160 kg N ha−1 year−1, while Mxg only showed yield increases between the low and medium N rates. This provides useful insights to crop management of two biofuel species and to enhance the predictive accuracy of process-based models, which are critical for developing bioenergy market systems in the SGP.</description><subject>Adaptability</subject><subject>Adaptation</subject><subject>Agricultural production</subject><subject>Alternative energy sources</subject><subject>Biodiesel fuels</subject><subject>Biofuels</subject><subject>Biomass</subject><subject>biomass production</subject><subject>C4 plants</subject><subject>Climate change</subject><subject>Computer simulation</subject><subject>crop management</subject><subject>Crops</subject><subject>ecotypes</subject><subject>Energy crops</subject><subject>Environmental conditions</subject><subject>environmental factors</subject><subject>Experiments</subject><subject>feedstocks</subject><subject>fertilizer rates</subject><subject>Fertilizers</subject><subject>Grasses</subject><subject>Great Plains region</subject><subject>growth performance</subject><subject>highlands</subject><subject>lowlands</subject><subject>Miscanthus giganteus</subject><subject>Model accuracy</subject><subject>nitrogen fertilizers</subject><subject>Panicum virgatum</subject><subject>perennials</subject><subject>Plant biomass</subject><subject>Productivity</subject><subject>provenance</subject><subject>Raw materials</subject><subject>Regions</subject><subject>Renewable resources</subject><subject>soil</subject><subject>Soil fertility</subject><subject>Soil sciences</subject><subject>Stability analysis</subject><subject>Sustainability</subject><subject>United States</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqFkU1LAzEYhIMoWGoP_oOAFz1U87GbTY510SoUFGq9LnE3aVO2yZpklf57s1REvPhe5j08DDMMAOcYXVMq0E3oBcIIcXEERgQVeIpRjo5__adgEsIWpaMUC8xGYD1rZBdlNM5Cp2GZwVvjlFV-vYeldx1cdqo2KsDo4Kv0xvUB3tkP453dKRsD_DRxYyyMGwWXrk_iLZx7JSN8bqWxYXBdLWdn4ETLNqjJt47B6v7upXyYLp7mj-VsMa1pzuOUqKwQVBEtMZGsYbXUGnOsWS5ylDPBU3LJaaOLOsMydUZYoFoILN8KyhpJx-Dy4Nt5996rEKudCbVqW2lVyl6RoXtWEMT_RTFnnJKcZyyhF3_Qreu9TUUGimCaEYYTdXWgau9C8EpXnTc76fcVRtUwUPUzEP0CF_6AQA</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Kim, Sumin</creator><creator>Kiniry, James</creator><creator>Williams, Amber</creator><creator>Meki, Norman</creator><creator>Gaston, Lewis</creator><creator>Brakie, Melinda</creator><creator>Shadow, Alan</creator><creator>Fritschi, Felix</creator><creator>Wu, Yanqi</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20170101</creationdate><title>Adaptation of C4 Bioenergy Crop Species to Various Environments within the Southern Great Plains of USA</title><author>Kim, Sumin ; Kiniry, James ; Williams, Amber ; Meki, Norman ; Gaston, Lewis ; Brakie, Melinda ; Shadow, Alan ; Fritschi, Felix ; Wu, Yanqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-2e4793e2fa12a6d6caff181f659505698003a83df7c41a3900190c991ab736da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adaptability</topic><topic>Adaptation</topic><topic>Agricultural production</topic><topic>Alternative energy sources</topic><topic>Biodiesel fuels</topic><topic>Biofuels</topic><topic>Biomass</topic><topic>biomass production</topic><topic>C4 plants</topic><topic>Climate change</topic><topic>Computer simulation</topic><topic>crop management</topic><topic>Crops</topic><topic>ecotypes</topic><topic>Energy crops</topic><topic>Environmental conditions</topic><topic>environmental factors</topic><topic>Experiments</topic><topic>feedstocks</topic><topic>fertilizer rates</topic><topic>Fertilizers</topic><topic>Grasses</topic><topic>Great Plains region</topic><topic>growth performance</topic><topic>highlands</topic><topic>lowlands</topic><topic>Miscanthus giganteus</topic><topic>Model accuracy</topic><topic>nitrogen fertilizers</topic><topic>Panicum virgatum</topic><topic>perennials</topic><topic>Plant biomass</topic><topic>Productivity</topic><topic>provenance</topic><topic>Raw materials</topic><topic>Regions</topic><topic>Renewable resources</topic><topic>soil</topic><topic>Soil fertility</topic><topic>Soil sciences</topic><topic>Stability analysis</topic><topic>Sustainability</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Sumin</creatorcontrib><creatorcontrib>Kiniry, James</creatorcontrib><creatorcontrib>Williams, Amber</creatorcontrib><creatorcontrib>Meki, Norman</creatorcontrib><creatorcontrib>Gaston, Lewis</creatorcontrib><creatorcontrib>Brakie, Melinda</creatorcontrib><creatorcontrib>Shadow, Alan</creatorcontrib><creatorcontrib>Fritschi, Felix</creatorcontrib><creatorcontrib>Wu, Yanqi</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Sumin</au><au>Kiniry, James</au><au>Williams, Amber</au><au>Meki, Norman</au><au>Gaston, Lewis</au><au>Brakie, Melinda</au><au>Shadow, Alan</au><au>Fritschi, Felix</au><au>Wu, Yanqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptation of C4 Bioenergy Crop Species to Various Environments within the Southern Great Plains of USA</atitle><jtitle>Sustainability</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>9</volume><issue>1</issue><spage>89</spage><epage>89</epage><pages>89-89</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>As highly productive perennial grasses are evaluated as bioenergy feedstocks, a major consideration is biomass yield stability. Two experiments were conducted to examine some aspects of yield stability for two biofuel species: switchgrass (Panicum vigratum L.) and Miscanthus x giganteus (Mxg). Biomass yields of these species were evaluated under various environmental conditions across the Southern Great Plains (SGP), including some sites with low soil fertility. In the first experiment, measured yields of four switchgrass ecotypes and Mxg varied among locations. Overall, plants showed optimal growth performance in study sites close to their geographical origins. Lowland switchgrass ecotypes and Mxg yields simulated by the ALMANAC model showed reasonable agreement with the measured yields across all study locations, while the simulated yields of upland switchgrass ecotypes were overestimated in northern locations. In the second experiment, examination of different N fertilizer rates revealed switchgrass yield increases over the range of 0, 80, or 160 kg N ha−1 year−1, while Mxg only showed yield increases between the low and medium N rates. This provides useful insights to crop management of two biofuel species and to enhance the predictive accuracy of process-based models, which are critical for developing bioenergy market systems in the SGP.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su9010089</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adaptability Adaptation Agricultural production Alternative energy sources Biodiesel fuels Biofuels Biomass biomass production C4 plants Climate change Computer simulation crop management Crops ecotypes Energy crops Environmental conditions environmental factors Experiments feedstocks fertilizer rates Fertilizers Grasses Great Plains region growth performance highlands lowlands Miscanthus giganteus Model accuracy nitrogen fertilizers Panicum virgatum perennials Plant biomass Productivity provenance Raw materials Regions Renewable resources soil Soil fertility Soil sciences Stability analysis Sustainability United States |
title | Adaptation of C4 Bioenergy Crop Species to Various Environments within the Southern Great Plains of USA |
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