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The evaluation of maize genotypes fo...
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Iowa State University., Agronomy.
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The evaluation of maize genotypes for potential use in cellulosic ethanol production.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
The evaluation of maize genotypes for potential use in cellulosic ethanol production./
作者:
Kirkpatrick, Krystal Marie.
面頁冊數:
136 p.
附註:
Adviser: Kendall R. Lamkey.
Contained By:
Masters Abstracts International46-06.
標題:
Agriculture, Agronomy. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1453905
ISBN:
9780549595748
The evaluation of maize genotypes for potential use in cellulosic ethanol production.
Kirkpatrick, Krystal Marie.
The evaluation of maize genotypes for potential use in cellulosic ethanol production.
- 136 p.
Adviser: Kendall R. Lamkey.
Thesis (M.S.)--Iowa State University, 2008.
Corn stover represents a potential lignocellulosic feedstock that may benefit the emerging cellulosic ethanol industry. This study was conducted to determine dry matter yield and quality characteristics of maize stover, cob, and husk plant fractions, and to make predictions of potential ethanol yields. Detergent fiber predictions were made for each plant fraction using near infrared reflectance spectroscopy (NIRS). Predicted values were used to determine ethanol potential using a modified version of the National Renewable Energy Lab (NREL) theoretical ethanol yield calculator. Although significant, not as much variation was present among genotypes and plant fractions for chemical composition as for dry matter yield. Dry matter yield rather than chemical composition had the greatest influence on ethanol yield on a per land unit area. Therefore, selecting genotypes with high yielding dry matter fractions may be the most effective method for improving ethanol yield.
ISBN: 9780549595748Subjects--Topical Terms:
1018679
Agriculture, Agronomy.
The evaluation of maize genotypes for potential use in cellulosic ethanol production.
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Corn stover represents a potential lignocellulosic feedstock that may benefit the emerging cellulosic ethanol industry. This study was conducted to determine dry matter yield and quality characteristics of maize stover, cob, and husk plant fractions, and to make predictions of potential ethanol yields. Detergent fiber predictions were made for each plant fraction using near infrared reflectance spectroscopy (NIRS). Predicted values were used to determine ethanol potential using a modified version of the National Renewable Energy Lab (NREL) theoretical ethanol yield calculator. Although significant, not as much variation was present among genotypes and plant fractions for chemical composition as for dry matter yield. Dry matter yield rather than chemical composition had the greatest influence on ethanol yield on a per land unit area. Therefore, selecting genotypes with high yielding dry matter fractions may be the most effective method for improving ethanol yield.
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