Early selection of novel triploid hybrids of shrub willow with improved biomass yield relative to diploids

BMC Plant Biology

Research Article

Lawrence B Smart¹  Michelle J Serapiglia¹  Fred E Gouker¹ 

[1] Department of Horticulture, Cornell University, New York State Agricultural Experiment Station, 14456, Geneva, NY, USA;

关键词: Allometrics;    Heterosis;    Hybrids;    Polyploids;    Specific gravity;    Willow;   

DOI  :  10.1186/1471-2229-14-74

 received in 2013-10-28, accepted in 2014-03-17,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundGenetic improvement of shrub willow (Salix), a perennial energy crop common to temperate climates, has led to the development of new cultivars with improved biomass yield, pest and disease resistance, and biomass composition suitable for bioenergy applications. These improvements have largely been associated with species hybridization, yet little is known about the genetic mechanisms responsible for improved yield and performance of certain willow species hybrids.ResultsThe top performing genotypes in this study, representing advanced pedigrees compared with those in previous studies, were mostly triploid in nature and outperformed current commercial cultivars. Of the genotypes studied, the diploids had the lowest mean yield of 8.29 oven dry Mg ha−1 yr−1, while triploids yielded 12.65 Mg ha−1 yr−1, with the top five producing over 16 Mg ha−1 yr−1. Triploids had high stem area and height across all three years of growth in addition to greatest specific gravity. The lowest specific gravity was observed among the tetraploid genotypes. Height was the early trait most correlated with and the best predictor of third-year yield.ConclusionsThese results establish a paradigm for future breeding and improvement of Salix bioenergy crops based on the development of triploid species hybrids. Stem height and total stem area are effective traits for early prediction of relative yield performance.

【 授权许可】

Unknown   
© Serapiglia et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.