Literature DB >> 18418758

What can be learned from silage breeding programs?

Aaron J Lorenz1, James G Coors.   

Abstract

Improving the quality of cellulosic ethanol feedstocks through breeding and genetic manipulation could significantly impact the economics of this industry. Attaining this will require comprehensive and rapid characterization of large numbers of samples. There are many similarities between improving corn silage quality for dairy production and improving feedstock quality for cellulosic ethanol. It was our objective to provide insight into what is needed for genetic improvement of cellulosic feedstocks by reviewing the development and operation of a corn silage breeding program. We discuss the evolving definition of silage quality and relate what we have learned about silage quality to what is needed for measuring and improving feedstock quality. In addition, repeatability estimates of corn stover traits are reported for a set of hybrids. Repeatability of theoretical ethanol potential measured by near-infrared spectroscopy is high, suggesting that this trait may be easily improved through breeding. Just as cell wall digestibility has been factored into the latest measurements of silage quality, conversion efficiency should be standardized and included in indices of feedstock quality to maximize overall, economical energy availability.

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Year:  2008        PMID: 18418758     DOI: 10.1007/s12010-007-8116-9

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  4 in total

1.  A high-throughput core sampling device for the evaluation of maize stalk composition.

Authors:  German Muttoni; James M Johnson; Nicholas Santoro; Craig J Rhiner; Karl J Haro von Mogel; Shawn M Kaeppler; Natalia de Leon
Journal:  Biotechnol Biofuels       Date:  2012-05-01       Impact factor: 6.040

2.  Shared Genomic Regions Between Derivatives of a Large Segregating Population of Maize Identified Using Bulked Segregant Analysis Sequencing and Traditional Linkage Analysis.

Authors:  Nicholas J Haase; Timothy Beissinger; Candice N Hirsch; Brieanne Vaillancourt; Shweta Deshpande; Kerrie Barry; C Robin Buell; Shawn M Kaeppler; Natalia de Leon
Journal:  G3 (Bethesda)       Date:  2015-06-01       Impact factor: 3.154

3.  Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV.

Authors:  Meher Un Nissa; Zhu-Xiang Jiang; Guo-Dong Zheng; Shu-Ming Zou
Journal:  BMC Genomics       Date:  2021-07-07       Impact factor: 3.969

4.  Analysis of a Modern Hybrid and an Ancient Sugarcane Implicates a Complex Interplay of Factors in Affecting Recalcitrance to Cellulosic Ethanol Production.

Authors:  Viviane Guzzo de Carli Poelking; Andrea Giordano; Maria Esther Ricci-Silva; Thomas Christopher Rhys Williams; Diego Alves Peçanha; Marília Contin Ventrella; Jorge Rencoret; John Ralph; Márcio Henrique Pereira Barbosa; Marcelo Loureiro
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

  4 in total

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