Cover crops have the potential to reduce environmental impacts of corn production. The objective of this study was to quantify differences in nitrogen (N) and phosphorus (P) loading between corn plots with or without a winter rye cover crop (Secale cerale). Four field plots (30 x 46 m) in Chazy, NY with edge-of-field monitoring were used for the study. Two plots were randomly assigned a rye cover crop treatment and planted with a grain drill at a rate of 112 kg ha-1 after corn silage harvest in 2015 and 2016. Continuous water flows were monitored from surface runoff and tile drain hydrologic pathways dur-ing runoff events. Soluble reactive P (SRP), total P (TP), nitrate-N, total N (TN), and to-tal suspended solids (TSS) concentrations were measured and multiplied by runoff vol-umes to estimate nutrient export. Surface runoff from rye plots had lower nutrient loss compared to control plots. Cumulative nitrate-N exports were similar between treatments (15.7 vs. 14.8 kg nitrate-N ha-1 for rye and control, respectively). Cumulative TN exports were numerically higher for control plots compared to rye plots, (18.8 vs. 21.4 kg TN ha-1). Cumulative TP and SRP exports (surface + tile) for rye were 2.2 and 3-fold greater than control plots, (0.51 vs. 1.19 kg TP ha-1 and 0.33 vs. 0.96 kg SRP ha-1). Total P and SRP loads in surface runoff were 3.0-fold greater for control plots compared to rye plots (0.36 vs. 1.12 kg TP ha-1 and 0.32 vs. 0.94 kg SRP ha-1). TSS load in surface runoff was numerically higher for control plots compared to rye (5.7 vs. 20.6 kg ha-1). Cumulative surface runoff was 1.8-fold greater in control plots compared to rye plots (112.6 mm vs. 207.7 mm), while cumulative tile runoff was numerically higher in rye plots compared to control (83.2 mm vs. 66.1mm). Snowmelt events contributed the majority of phosphorus losses (96% of SRP and 92% of TP), emphasizing the need to implement management techniques that reduce P transport risk during the non-growing season. Winter rye re-duced snowmelt TP export by 3-fold compared to the control plots (0.33 kg TP ha-1 and 1.03 kg TP ha-1). The winter rye cover crop planted after corn silage harvest effectively reduced erosion and P transport in surface water runoff compared to corn silage left fal-low after harvest. In addition to significantly reducing P exports, farms have the option of harvesting rye as a forage crop and double cropping with corn. In this way, more total forage is possible for the farm in addition to offering environmental conservation and wa-ter quality benefits.

A gel is a cross-linked polymer network that spans an entire liquid medium; its properties depend strongly on the interaction of the polymer and the liquid medium. There are various ways to induce gelation in different systems such as altering temperature or pH. In this study, phenol extracted protein fractions from non-acclimated (NA) and cold-acclimated (CA) winter rye (Secale cereale L. cv Musketeer) leaf tissue were subjected to freeze-thaw treatment. Gelation was induced in the NA and CA extracts after repeated freeze-thaw treatments, accompanied by a change in sample rheological properties. Further experimentation revealed that gel formation only occurred at high pH (pH 12.0) and that a minimum of 3 to 4 freeze-thaw cycles were required. The viscosity of the protein gel increased 5.7- to 9.5-fold in the NA and CA extracts respectively upon freeze-thaw. Experiments optimizing the extraction conditions and protein concentration were also performed. The gel was stable and only a specific combination of chaotropic agent, anionic surfactant and reducing agent such as urea, sodium docecyl sulfate (SDS) and â-mercaptoethanol (â-ME) with heating could disrupt the gel network. The gel was composed of several proteins in the extracts as determined by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). Based on SDS-PAGE analysis, ribulose-1,5-bisphosphate carboxylase oxygenase (Rubisco) was identified as the major protein component in the gel. Various experiments were performed to assess the role of Rubisco in gel formation; however, the results were inconclusive. It is suggested that these extracts may contain antifreeze proteins (AFPs) that have been demonstrated to form amyloid gels upon freeze-thaw. Further studies examining the composition and mechanism of gel formation may result in a future role for this material in the food industry.

A gel is a cross-linked polymer network that spans an entire liquid medium; its properties depend strongly on the interaction of the polymer and the liquid medium. There are various ways to induce gelation in different systems such as altering temperature or pH. In this study, phenol extracted protein fractions from non-acclimated (NA) and cold-acclimated (CA) winter rye (Secale cereale L. cv Musketeer) leaf tissue were subjected to freeze-thaw treatment. Gelation was induced in the NA and CA extracts after repeated freeze-thaw treatments, accompanied by a change in sample rheological properties. Further experimentation revealed that gel formation only occurred at high pH (pH 12.0) and that a minimum of 3 to 4 freeze-thaw cycles were required. The viscosity of the protein gel increased 5.7- to 9.5-fold in the NA and CA extracts respectively upon freeze-thaw. Experiments optimizing the extraction conditions and protein concentration were also performed. The gel was stable and only a specific combination of chaotropic agent, anionic surfactant and reducing agent such as urea, sodium docecyl sulfate (SDS) and â-mercaptoethanol (â-ME) with heating could disrupt the gel network. The gel was composed of several proteins in the extracts as determined by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). Based on SDS-PAGE analysis, ribulose-1,5-bisphosphate carboxylase oxygenase (Rubisco) was identified as the major protein component in the gel. Various experiments were performed to assess the role of Rubisco in gel formation; however, the results were inconclusive. It is suggested that these extracts may contain antifreeze proteins (AFPs) that have been demonstrated to form amyloid gels upon freeze-thaw. Further studies examining the composition and mechanism of gel formation may result in a future role for this material in the food industry.

No description available.

Noch vor 50 Jahren stand Roggen an erster Stelle im Getreideanbau, erst mit Abstand folgte der Weizen . Gerste wurde meist nur als Sommerfrucht angebaut und der Mais war noch ein Exot. Die Pflanzenzüchtung bewirkte eine grundlegende Änderung der Anbaugewohnheiten. Roggen erwies sich bei der züchterischen Verbesserung als schwieriger und sein langes Stroh störte bei der Ernte mit dem Mähdrescher. Roggen wurde deshalb auf die geringerwertigeren Böden mit hohem Sandanteil abgedrängt. Durch eine neue Methode der Pflanzenzüchtung, die Hybridzüchtung, kann Roggen heute im Ertrag auf vielen Standorten wieder mit dem Weizen konkurrieren. Mit der vorliegenden Veröffentlichung wird erläutert, ob höhere Roggenanteile in der Ferkel- und Mastschweinefütterung vertretbar sind.

No description available.

A well-managed irrigation scheduling system needs a rapid, preCIse, simple, costeffective and non-destructive soil water content sensor. The PRl profile probe and Diviner 2000 were used to determine the timing and amount of irrigation of three cover crops (Avena sativa L., Secale cereale L. and Lolium multiflonlm Lam.), which were planted at Cedara, KwaZulu-Natal. The PRl profile probe was first calibrated in the field and also compared with the Diviner 2000. For the calibration of the PRl profile probe the factory-supplied parameters (aJ = 8.4 and ao = 1.6) showed good correlation· compared to the soil-estimated parameters (aJ = 11.04 and ao = 1.02). The factorysupplied parameters gave a linear regression coefficient (r2 ) of 0.822 and root mean square error (RMSE) of 0.062. The soil-estimated parameter showed a linear regression coefficient of 0.820 with RMSE of 0.085. The comparison between the soil water content measured using the PR1 profile probe and Diviner 2000 showed a linear regression coefficient of 0.947 to 0.964 with a range of RMSE of 0.070 to 0.109 respectively for the first 100 to 300 mm soil depths. The deeper depths (400, 600 and 1000 mm) showed a linear regression coefficient ofO.716to 0.810 with a range of 0.058 to 0.150 RMSE. These differences between the shallow and deeper depths could be due to soil variability or lack of good contact between the access tube and the surrounding soil. To undertake irrigation scheduling using the PRl profile probe and Diviner 2000, the soil water content limits were determined using field, laboratory and regression equations. The field method was done by measuring simultaneously the soil water content using the PR1 profile probe and soil water potential using a Watermark sensor and tensiometers at three depths (100, 300 and 600 mm) from a 1 m2 bare plot, while the soil dries after being completely saturated. The retentivity function was developed from these measurements and the drained upper limit was estimated to be 0.355 m3 m-3 when the drainage from the pre-wetted surface was negligible. The lower limit was calculated at -1500 kPa and it was estimated to be 0.316 m3m,3. The available soil water content, which is the difference between the upper and lower limit, was equal to 0.039 m3 m,3. In the laboratory the soil water content and matric potential were measured from the undisturbed soil samples taken from the edge of the 1 m2 bare plot before the sensors were installed. Undisturbed soil samples were taken using a core sampler from 100 to 1000 mm soil depth in three replications in 100 mm increments. These undisturbed soil samples were saturated and subjected to different matric potentials between -1 to -1500 kPa. In the laboratory, the pressure was increased after the cores attained equilibrium and weighed before being subjecting to the next matric potential. The retentivity function was then developed from these measurements. The laboratory method moved the drained upper limit to be 0.390 m3 m,3 at -33 kPa and the lower limit be 0.312 m3m-3 at -1500 kPa. The regression equation, which uses the bulk density, clay and silt percentage to calculate the soil water content at a given soil water potential, estimated the drained upper limit to be 0.295 m3m-3at -33 kPa and the lower limit 0.210 m3 m,3 at -1500 kPa. Comparison was made between the three methods using the soil water content measured at the same soil water potential. The fieldmeasured soil water content was not statistically the same with the laboratory and estimated soil water content. This was shown from the paired-t test, where the probability level (P) for the laboratory and estimated methods were 0.011 and 0.0005 respectively at 95 % level of significance. However, it showed a linear regression coefficient of 0.975 with RMSE of 0.064 when the field method was compared with the laboratory method. The field method showed a linear regression coefficient of 0.995 with RMSE of 0.035 when compared with the estimated method. The timing and amount of irrigation was determined using the PR1 profile probe and Diviner 2000. The laboratory measured retentivity function was used to define the fill (0.39 m3 m-3 ) and high refill point (0.34 m3 m-3 ). The soil water content was measured using both sensors two to three times per week starting from May 29 (149 day of year, 2002) 50 days after planting until September 20 (263 day of year) 11 days before harvesting. There were five irrigations and twenty rainfall events. The next date of irrigation was predicted graphically using, the PRl profile probe measurements, to be on 3 September (246 day of year) after the last rainfall event on 29 August (241 day of year) with 8 mm. When the Diviner 2000 was used, it predicted two days after the PRl profile probe predicted date. This difference appeared since the Diviner 2000-measured soil water content at the rooting depth was slightly higher than the PRl profile probe measurements. The amount of irrigation was estimated using two comparable methods (graphic and mathematical method). The amount of irrigation that should have been applied on 20, September (263 day of year) to bring the soil water content to field capacity was estimated to be 4.5 hand 23 mm graphically and 5.23 hand 20 mm mathematically. The difference between these two methods was caused due to the error encountered while plotting the correct line to represent the average variation in soil water content and cumulative irrigation as a function of time. More research is needed to find the cause for the very low soil water content measurements of the PRI profile probe at some depths. The research should be focused on the factors, which could affect the measurement of the PRl profile probe and Diviner 2000 like salinity, temperature, bulk density and electrical conductivity. Further research is also needed to extend the non-linear relationship between the electrical resistance of the sensor and soil water potential up to -200 kPa. This non-linear equation of the Watermark is only applicable within the range of soil water potential between -10 and -100 kPa. / Thesis (M.Sc.)-University of Natal, Pietermaritzburg, 2003.

Šio darbo tikslas buvo įvertinti aukštesniųjų alkoholių ir kitų fuzelio junginių formavimasi etanolyje, gautame mikronizuotus rugius fermentuojant Saccharomyces cerevisiae anaerobiniu būdu ir Helianthus tuberosus L. Kluyveromyces var. mielių skirtingais porūšiais aerobiniu būdu. Rezultati parodė, kad gaminant etanolį iš mikronizuotų rugių žaliavos, fermentuojant pastarąją Saccharomyces cerevisiae mielėmis, o žaliavos sucukrinimui naudojant skirtingus fermentinius preparatus, gaunami skirtingi raugalo parametrai, o skirtingi fermentai, naudoti žaliavos sucukrinimui, turėjo skirtingos įtakos aukštesniųjų alkoholių ir kitų fuzelio junginių kiekiui etanolyje, pagamintame iš mikronizuotų rugių žaliavos. Vykdant etanolio gamybą iš Helianthus tuberosus L. žaliavos, fermentuojant pastarąją Kluyveromyces marxianus skirtingų porūšių mielėmis, gaunama vienoda etanolio išeiga (6 tūrio %), tačiau skirtingas mėginių pH: didžiausia pH vertė - K. marxianus fermentuotuose mėginiuose (4,87), mažiausia - K. arosophlazum fermentuotuose (4,09), todėl etanolio saugai užtikrinti, reikėtų rinktis didesnio pH mėginius. Tačiau skirtingi Kluyveromyces var. porūšiai turi skirtingą įtaką aukštesniųjų alkoholių ir kitų fuzelio junginių kiekiui etanolyje, pagamintame iš Helianthus tuberosus L. žaliavos, fermentuojant pastarąją aerobiniu būdu. Efektyviausia etanolio gamybos technologija ir gaunamos didžiausios išeigos, vykdant pastarąją aerobiniu būdu, fermentuojant Helianthus tuberosus L. K. marxianus... [toliau žr. visą tekstą] / The aim of the study was to evaluate formation of the higher alcohols and other fusel oil compounds in ethanol made from micronized rye fermented in anaerobic condition with Saccharomyces cerevisiae and made from Helianthus tuberosus L. in aerobic condition. We found different higher alcohols and other fusel oil compounds concentration in ethanol made from micronized rye fermented in anaerobic condition with Saccharomyces cerevisiae depending on the enzymes used for the raw material sugaring process preparation. Therefore, we found the same yield of the ethanol, made from Helianthus tuberosus L. raw materials fermented with different varieties of Kluyveromyces var. yeast (6 vol %), but it was established different fermented samples pH: the highest pH value was found in with K. marxianus fermented samples (4.87), the lowest – with K. arosophlazum fermented samples (4.09), and we conclude that to ensure ethanol safety, for ethanol production should be choose with a higher value pH samples. Also, we found that different varieties of Kluyveromyces var. have a different influence on the higher alcohols and other fusel oil compounds formation in ethanol made from Helianthus tuberosus L. raw materials in aerobic condition. The most efficient ethanol production technology and the highest yield of ethanol it is possible to get when Helianthus tuberosus L. are fermented with K. marxianus yeast (8 vol %), and this technology, when is used Helianthus tuberosus L. raw material, is... [to full text]

The development of a biorefining process acknowledges the feedstock characterization as it can often dictate the process technology. The maturity stages of agricultural feedstocks also have the potential for altering the process conditions. Thus, the variability of growth stages at 4-6 leaf, flowering, milk and soft dough were assessed for use of immature cereal crops in a green biomass biorefinery. Hence, the primary objective of this project was to evaluate the composition of green biomass at different harvest stages. Four varieties of triticale, two wheat varieties and two rye varieties were analyzed for starch, protein, phenols, fatty acids and sterols. To further characterize the feedstocks, an alternate extraction strategy was explored based on solvent polarity. It was found that for triticale varieties, the milk to soft dough harvest stages showed a decrease in proteins and phenols content and an increase in starch content. This could potentially provide benefit to organic acid production through fermentation. / Bioresource and Food Engineering

Thesis (Ph. D.)--University of Adelaide, Dept. of Plant Science, 1994. / Includes bibliographical references (leaves 93-114).