101946
Genetic Variation and Estimation of Ethanol Yield of Alamo Half-Sib Families.
Poster Number 163-1323
See more from this Division: C01 Crop Breeding and Genetics
See more from this Session: Crop Breeding & Genetics Poster I (includes graduate student competition)
Monday, November 7, 2016
Phoenix Convention Center North, Exhibit Hall CDE
Cheryl Dalid1, Santosh Nayak1, Fred L. Allen1, Vincent Pantalone2, Arnold Saxton2, Feng Chen3 and Hem Bhandari4, (1)Plant Sciences, University of Tennessee - Knoxville, Knoxville, TN
(2)University of Tennessee, Knoxville, TN
(3)University of Tennessee - Knoxville, Knoxville, TN
(4)Plant Sciences, University of Tennessee, Knoxville, TN
Abstract:
Biofuels such as ethanol and biodiesel are considered
as alternative sources of energy that have gained popularity over the years and
switchgrass is considered one of the most promising
crop for biomass yield improvement for use as a biofuel feedstock. In this
study, half-sib families were derived from a four-year-old population sward of
Alamo cultivar in 2007 at the Holston unit of East Tennessee Research and
Education Center (ETREC). Out of the 230 selected plants in 2011, 62 half-sib
families were retained for a replicated field trial in 2012 at two Tennessee
locations, Holston unit-ETREC in Knoxville and Plateau Research and Education
Center (PREC) in Crossville. Half-sib plants were established in a
spaced-planted nursery, using a randomized complete block design with 3
replications. Each family was planted in a single-row-plot of 9 plants 30cm
apart, and 90cm between rows. Random tillers were collected from each
individual plant in 2013 while hand-grab samples were collected in 2014. Samples
were dried in a batch oven for 24-48 hours at 48.9oC. Dried
samples were finely ground and analyzed using a SpectraStar
XL Near-infrared Spectrometer (NIRS) to determine ethanol yield. Ethanol yield will
be estimated using the procedure by Lorenz et al. (2009) and analyzed through analysis of variance (ANOVA)
using MIXED model methods in SAS (SAS v9.4, Cary, NC). Variance estimates will
be obtained using the Restricted Maximum Likelihood of the MIXED model methods
in SAS (SAS v9.4, Cary, NC).
See more from this Division: C01 Crop Breeding and Genetics
See more from this Session: Crop Breeding & Genetics Poster I (includes graduate student competition)