Estimation of Rhizome Composition and Overwintering Ability in Perennial Sorghum spp. Using Near-Infrared Spectroscopy (NIRS).

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Title: Estimation of Rhizome Composition and Overwintering Ability in Perennial Sorghum spp. Using Near-Infrared Spectroscopy (NIRS).
Authors: Washburn, Jacob1, Whitmire, David1, Murray, Seth1, Burson, Byron2, Wickersham, Tryon3, Heitholt, James4, Jessup, Russell1 rjessup@neo.tamu.edu
Source: BioEnergy Research. Jun2013, Vol. 6 Issue 2, p822-829. 8p.
Subjects: Chemical composition of plants, Plant stems, Near infrared spectroscopy, Feedstock, Agricultural ecology, Estimation theory, Plant germplasm
Abstract: Temperately adapted perennial sorghum feedstocks have recently begun to receive increasing interest as candidate energy crops, producing significant biomass and contributing agroecological benefits including increased soil organic carbon, reduced soil erosion, reduced input requirements, and higher net energy return. Rhizomes are the primary morphological feature facilitating overwintering in Sorghum species; however, underlying physiological mechanisms governing rhizome overwintering remain poorly characterized. In this study, we investigated the composition of sorghum rhizomes from diverse germplasm before and after overwintering at two locations and three experimental environments. Significant positive correlations were found between rhizome overwintering and water-soluble carbohydrates, ethanol soluble carbohydrates, and fructan concentrations, while significant negative correlations were found between rhizome overwintering and both crude fat and starch. Near-infrared spectroscopy (NIRS) calibration equations were developed to quickly and efficiently predict the concentrations of each of these assimilates in rhizomes. [ABSTRACT FROM AUTHOR]
Copyright of BioEnergy Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Temperately adapted perennial sorghum feedstocks have recently begun to receive increasing interest as candidate energy crops, producing significant biomass and contributing agroecological benefits including increased soil organic carbon, reduced soil erosion, reduced input requirements, and higher net energy return. Rhizomes are the primary morphological feature facilitating overwintering in Sorghum species; however, underlying physiological mechanisms governing rhizome overwintering remain poorly characterized. In this study, we investigated the composition of sorghum rhizomes from diverse germplasm before and after overwintering at two locations and three experimental environments. Significant positive correlations were found between rhizome overwintering and water-soluble carbohydrates, ethanol soluble carbohydrates, and fructan concentrations, while significant negative correlations were found between rhizome overwintering and both crude fat and starch. Near-infrared spectroscopy (NIRS) calibration equations were developed to quickly and efficiently predict the concentrations of each of these assimilates in rhizomes. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of BioEnergy Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Near infrared spectroscopy
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