Production of Ethanol From Newly Developed and Improved Winter Barley Cultivars.

Winter barley has attracted strong interest as a potential feedstock for fuel ethanol production in regions with mild winter climate such as the mid-Atlantic and northeastern USA. Ten recently developed and improved winter barley cultivars and breeding lines including five hulled and five hull-less lines were experimentally evaluated for potential ethanol production. The five hulled barley lines included three released cultivars (Thoroughbred, Atlantic, and Secretariat) and two breeding lines (VA09B-34 and VA11B-4). The five hull-less lines also included three released cultivars (Eve, Dan, and Amaze 10) and two breeding lines (VA08H-65 and VA13H-34). On the average, the hull-less barley cultivars produced more ethanol per unit mass because of their higher starch and ß-glucan contents. However, since the hulled barley cultivars had higher agronomic yield, the potential ethanol production per acre of land for the two types were approximately equal. Among the ten cultivars tested, the hull-less cultivar Amaze 10 was the best one for ethanol production. The ethanol yield values obtained for this cultivar were 2.61 gal per bushel and 292 gal per acre.

A comparison of two milling strategies to reduce the mycotoxin deoxynivalenol in barley.

Winter barley (Hordeum vulgare L.), a potential feedstock for fuel ethanol production, may be contaminated with the trichothecene mycotoxin deoxynivalenol (DON). DON is a threat to feed and food safety in the United States and may become concentrated during the production of distillers dried grains with solubles (DDGS). DDGS is a coproduct of fuel ethanol production and is increasingly being used as feed for domestic animals. Therefore, new strategies to reduce the threat of DON in DDGS need to be developed and implemented for grain destined for fuel ethanol production. It is known that large concentrations of DON accumulate in the hulls of wheat and barley. Consequently, improved methods are needed to carefully remove the hull from the grain and preserve the starchy endosperm. Whole kernels from five Virginia winter barley genotypes were used to evaluate the abilities of two different milling strategies (roller milling and precision milling (FitzMill)) for their ability to remove the hull-enriched tissue from the kernel while maintaining starch levels and reducing DON levels in the endosperm-enriched tissue. After whole kernels were milled, DON and starch levels were quantified in the hull-enriched fractions and endosperm-enriched fractions. Initial milling experiments demonstrated that the precision mill system (6 min run time) is able to reduce more DON than the roller mill but with higher starch losses. The average percent DON removed from the kernel with the roller mill was 36.7% ± 5.5 and the average percent DON removed from the dehulled kernel with the precision mill was 85.1% ± 9.0. Endosperm-enriched fractions collected from the roller mill and precision mill contained starch levels ranging from 49.0% ± 12.1 to 59.1% ± 0.5 and 58.5% ± 1.6 to 65.3% ± 3.9, respectively. On average, the precision mill removed a mass of 23.1% ± 6.8 and resulted in starch losses of 9.6% ± 6.3, but produced an endosperm-enriched fraction with relatively very little average DON (5.5 ± 2.7 µg g(-1)). In contrast, on average, the roller mill removed a mass of 12.2% ± 1.6 and resulted in starch losses of 2.1% ± 0.5, but produced an endosperm-enriched fraction with high average DON (20.7 ± 13.5 µg g(-1)). In a time course precision milling experiment, we tested barley genotypes Nomini, Atlantic, and VA96-44-304 and attempted to reduce the starch loss seen in the first experiment while maintaining low DON concentrations. Decreasing the run time of the precision mill from 5 to 2 min, reduced starch loss at the expense of higher DON concentrations. Aspirated fractions revealed that the precision milled hull-enriched fraction contained endosperm-enriched components that were highly contaminated with DON. This work has important implications for the reduction of mycotoxins such as DON in barley fuel ethanol coproducts and barley enriched animal feeds and human foods.

Characterization of Fusarium Head Blight Resistance and Deoxynivalenol Accumulation in Hulled and Hulless Winter Barley.

Fusarium head blight (FHB), caused by Fusarium graminearum, is one of the most serious diseases impacting the U.S. barley (Hordeum vulgare) industry. The mycotoxin deoxynivalenol (DON), produced by the pathogen, renders grain unmarketable if concentrations exceed threshold values set for end-use markets. Development of cultivars with improved FHB resistance and reduced DON accumulation is necessary to ensure minimal losses. Elite hulled and hulless genotypes developed by the Virginia Tech winter barley breeding program were screened in inoculated, mist-irrigated FHB nurseries over 2 years at two locations in Virginia to validate resistance levels over years and locations. Results demonstrated that barley genotypes varied significantly for resistance to FHB and DON accumulation. The hulled 'Nomini', hulless 'Eve', and hulless line VA06H-48 were consistently resistant across locations to both FHB and DON accumulation. Screening the genotypes with molecular markers on chromosomes 2H and 6H for FHB and DON revealed quantitative trait loci regions which may confer resistance in the Virginia Tech germplasm. Ongoing and future work with mapping populations seeks to identify novel regions for resistance to FHB and DON accumulation unique to the Virginia Tech breeding program.

Molecular characterization of field resistance to Fusarium head blight in two US soft red winter wheat cultivars.

In the soft red winter wheat (Triticum aestivum L.) regions of the US, Fusarium head blight (FHB, caused by Fusarium spp.) resistance derived from locally adapted germplasm has been used predominantly. Two soft red winter wheat cultivars, Massey and Ernie, have moderate resistance to FHB. Mapping populations derived from Becker/Massey (B/M) and Ernie/MO 94-317 (E/MO) were evaluated for FHB resistance and other traits in multiple environments. Eight QTL in B/M and five QTL in E/MO were associated with FHB variables including incidence, severity (SEV), index (IND), Fusarium damaged kernels (FDK), deoxynivalenol (DON), and morphological traits flowering time and plant height. Four QTL were common to both populations. Three of them were located at or near known genes: Ppd-D1 on chromosome 2DS, Rht-B1 on 4BS, and Rht-D1 on 4DS. Alleles for dwarf plant height (Rht-B1b and Rht-D1b) and photoperiod insensitivity (Ppd-D1a) had pleiotropic effects in reducing height and increasing FHB susceptibility. The other QTL detected for FHB variables were on 3BL in both populations, 1AS, 1DS, 2BL, and 4DL in B/M, and 5AL (B1) and 6AL in E/MO. The additive effects of FHB variables ranged from 0.4 mg kg(-1) of DON to 6.2 % for greenhouse (GH) SEV in B/M and ranged from 0.3 mg kg(-1) of DON to 8.3 % for GH SEV in E/MO. The 4DS QTL had epistasis with Ppd-D1, Qdon.umc-6AL, and Qht.umc-4BS, and additive × additive × environment interactions with the 4BS QTL for SEV, IND, and FDK in E/MO. Marker-assisted selection might be used to enhance FHB resistance through selection of favorable alleles of significant QTL, taking into account genotypes at Rht-B1b, Rht-D1a and Ppd-D1a.

Marker-trait associations in Virginia Tech winter barley identified using genome-wide mapping.

Genome-wide association studies (GWAS) provide an opportunity to examine the genetic architecture of quantitatively inherited traits in breeding populations. The objectives of this study were to use GWAS to identify chromosome regions governing traits of importance in six-rowed winter barley (Hordeum vulgare L.) germplasm and to identify single-nucleotide polymorphisms (SNPs) markers that can be implemented in a marker-assisted breeding program. Advanced hulled and hulless lines (329 total) were screened using 3,072 SNPs as a part of the US. Barley Coordinated Agricultural Project (CAP). Phenotypic data collected over 4 years for agronomic and food quality traits and resistance to leaf rust (caused by Puccinia hordei G. Otth), powdery mildew [caused by Blumeria graminis (DC.) E.O. Speer f. sp. hordei Em. Marchal], net blotch (caused by Pyrenophora teres), and spot blotch [caused by Cochliobolus sativus (Ito and Kuribayashi) Drechsler ex Dastur] were analyzed with SNP genotypic data in a GWAS to determine marker-trait associations. Significant SNPs associated with previously described quantitative trait loci (QTL) or genes were identified for heading date on chromosome 3H, test weight on 2H, yield on 7H, grain protein on 5H, polyphenol oxidase activity on 2H and resistance to leaf rust on 2H and 3H, powdery mildew on 1H, 2H and 4H, net blotch on 5H, and spot blotch on 7H. Novel QTL also were identified for agronomic, quality, and disease resistance traits. These SNP-trait associations provide the opportunity to directly select for QTL contributing to multiple traits in breeding programs.

Resistance to Fusarium Head Blight and Deoxynivalenol Accumulation in Virginia Barley.

Fusarium graminearum (teleomorph Gibberella zeae), is a devastating disease of barley (Hordeum vulgare) in the United States. Recent epidemics of FHB in the mid-Atlantic region have underscored the need to develop new commercial varieties of barley that are resistant to FHB and restrict accumulation of the mycotoxin deoxynivalenol (DON). FHB incidence, FHB index, and DON levels of Virginia hulled and hulless barley genotypes were evaluated over five years (2006 to 2010) in FHB nurseries in Virginia. FHB incidence ranged from 22.5% (2010) to 80.1% (2008), and mean DON levels ranged from 0.5 ± 0.4 (2008) to 2.4 ± 2.1 ppm (2010). Barley genotype played a significant role in determining FHB resistance in 2006 to 2009. DON levels were significantly different among barley genotypes in 2007, 2008, and 2009. FHB incidence was positively correlated with FHB index in all 5 years studied. In 2006 and 2010, FHB incidence and index were positively correlated with DON. Early spike emergence resulted in higher FHB incidence and index in 2007, 2008, and 2010. This preliminary work has identified some promising hulled and hulless barley genotypes for targeted breeding and commercialization efforts in FHB nurseries in the future; 'Eve' (hulless) and 'Thoroughbred' (hulled) ranked among the most FHB resistant genotypes.

Conversion of deoxynivalenol to 3-acetyldeoxynivalenol in barley-derived fuel ethanol co-products with yeast expressing trichothecene 3-O-acetyltransferases.

BACKGROUND: The trichothecene mycotoxin deoxynivalenol (DON) may be concentrated in distillers dried grains with solubles (DDGS; a co-product of fuel ethanol fermentation) when grain containing DON is used to produce fuel ethanol. Even low levels of DON (≤ 5 ppm) in DDGS sold as feed pose a significant threat to the health of monogastric animals. New and improved strategies to reduce DON in DDGS need to be developed and implemented to address this problem. Enzymes known as trichothecene 3-O-acetyltransferases convert DON to 3-acetyldeoxynivalenol (3ADON), and may reduce its toxicity in plants and animals. RESULTS: Two Fusarium trichothecene 3-O-acetyltransferases (FgTRI101 and FfTRI201) were cloned and expressed in yeast (Saccharomyces cerevisiae) during a series of small-scale ethanol fermentations using barley (Hordeum vulgare). DON was concentrated 1.6 to 8.2 times in DDGS compared with the starting ground grain. During the fermentation process, FgTRI101 converted 9.2% to 55.3% of the DON to 3ADON, resulting in DDGS with reductions in DON and increases in 3ADON in the Virginia winter barley cultivars Eve, Thoroughbred and Price, and the experimental line VA06H-25. Analysis of barley mashes prepared from the barley line VA04B-125 showed that yeast expressing FfTRI201 were more effective at acetylating DON than those expressing FgTRI101; DON conversion for FfTRI201 ranged from 26.1% to 28.3%, whereas DON conversion for FgTRI101 ranged from 18.3% to 21.8% in VA04B-125 mashes. Ethanol yields were highest with the industrial yeast strain Ethanol Red®, which also consumed galactose when present in the mash. CONCLUSIONS: This study demonstrates the potential of using yeast expressing a trichothecene 3-O-acetyltransferase to modify DON during commercial fuel ethanol fermentation.

Genetic Characterization of Barley Net Blotch Resistance Genes.

Net blotch, caused by Pyrenophora teres f. teres, is one of the most devastating diseases of barley (Hordeum vulgare). Efficient utilization of available resistance sources is dependent upon successful characterization of genes conditioning resistance in diverse sources. Five net-blotch-resistant parents and one susceptible parent were intercrossed to identify novel resistance genes and postulate gene number and mode of inheritance. Seedling response to isolate ND89-19 was evaluated in a greenhouse test. Results indicate that the resistant spring barley lines CIho 2291 and CIho 5098 and the winter barley cv. Nomini each have single dominant genes for resistance. Resistance in CIho 5098 is governed by the same dominant gene conferring resistance in Nomini. Resistance in CIho 2291 is controlled by one dominant gene which, putatively, is the same gene conferring resistance in ND B112 but differs from the resistance genes carried by the other parents in this study. The resistance gene in Nomini or CIho 5098 could be pyramided with the resistance gene in CIho 2291 or ND B112 to enhance the durability of resistance against a wide spectrum of P. teres isolates.

Near-infrared analysis of whole kernel barley: comparison of three spectrometers.

This study was conducted to develop calibration models for determining quality parameters of whole kernel barley using a rapid and nondestructive near-infrared (NIR) spectroscopic method. Two hundred and five samples of whole barley grains of three winter-habit types (hulled, malt, and hull-less) produced over three growing seasons and from various locations in the United States were used in this study. Among these samples, 137 were used for calibration and 68 for validation. Three NIR instruments with different resolutions, one Fourier transform instrument (4 cm(-1) resolution), and two dispersive instruments (8 nm and 10 nm bandpass) were utilized to develop calibration models for six components (moisture, starch, beta-glucan, protein, oil, and ash) and the results were compared. Partial least squares regression was used to build models, and various methods for preprocessing of spectral data were used to find the best model. Our results reveal that the coefficient of determination for calibration models (NIR predicted versus reference values) ranged from 0.96 for moisture to 0.79 for beta-glucan. The level of precision of the model developed for each component was sufficient for screening or classification of whole kernel barley, except for beta-glucan. The higher resolution Fourier transform instrument gave better results than the lower resolution instrument for starch and beta-glucan analysis. The starch model was most improved by the increased resolution. There was no advantage of using a higher resolution instrument over a lower resolution instrument for other components. Most of the components were best predicted using first-derivative processing, except for beta-glucan, where second-derivative processing was more informative and precise.

Near-infrared analysis of ground barley for use as a feedstock for fuel ethanol production.

The objective of this study was to explore the potential of near-infrared spectroscopy for determining the compositional quality properties of barley as a feedstock for fuel ethanol production and to compare the prediction accuracy between calibration models obtained using a Fourier transform near-infrared system (FT-NIR) and a dispersive near-infrared system. The total sample set contained 206 samples of three types of barley, hull-less, malt, and hulled varieties, which were grown at various locations in the eastern U.S. from 2002 to 2005 years. A new hull-less barley variety, Doyce, which was specially bred for potential use in ethanol production, was included in the sample set. One hundred and thirty-eight barley samples were used for calibration and sixty-eight were used for validation. Ground barley samples were scanned on both a FTNIR spectrometer (10 000 to 4000 cm(-1) at 4 cm(-1) resolution) and a dispersive NIR spectrometer (400 to 2498 nm at 10 nm resolution), respectively. Six grain components, moisture, starch, beta-glucan, protein, oil, and ash content, were analyzed as parameters of barley quality. Principal component analysis showed that barley samples could be classified by their types: hull-less, malt, and hulled. Partial least squares regression indicated that both FT-NIR and dispersive NIR spectroscopy have the potential to determine quality properties of barley with an acceptable accuracy, except for beta-glucan content. There was no predictive advantage in using a high-resolution FT-NIR instrument over a dispersive system for most components of barley.