scholarly journals Occurrence of dwarf virus of winter wheat and barley in several regions of Slovakiaduring the growing seasons 2001–2004

2011 ◽  
Vol 52 (No. 9) ◽  
pp. 392-401 ◽  
Author(s):  
N. Bukvayová ◽  
M. Henselová ◽  
V. Vajcíková ◽  
T. Kormanová
Keyword(s):  
Winter Wheat ◽  
Viral Infection ◽  
Large Scale ◽  
Winter Barley ◽  
Dwarf Virus ◽  
Breeding Lines ◽  
Growing Seasons

The aim of the study was to monitor the incidence and to detect the presence of viruses of yellow dwarfness in barley (BYDV-PAV, BYDV-RMV), of yellow dwarfness in cereals (CYDV-RPV) and dwarfness in wheat (WDV) in stands of winter wheat and winter barley in Slovakia. During the period 2001–2004 a total of 292 samples coming from 150 localities were analyzed. This involved 190 samples of winter wheat (39 varieties and 13 breeding lines) and 102 samples of winter barley (17 varieties and 7 breeding lines). The detection of viruses was carried out with the aid of the method DAS and TAS ELISA. During the years surveyed, the occurrence of the various viruses differed. In 2001, the most represented virus proved to be the WDV (68%); in 2002, it was the strain PAV of the virus BYDV (93%); in 2003, the most numerous were the virus WDV (71%) and the strain PAV of virus BYDV (67%). Similarly, in 2004, two viruses were represented about evenly, WDV and BYDV-PAV (75%). The more frequent of the two species was the virus BYDV, with the strain BYDV-PAV predominating. The intensity of viral infection of stand cereals differed during the experimental years, being highest in 2002 when the blight occurred both locally and also on a large-scale. The highest frequency of the disease was in Western and Eastern Slovakia.

Investigation of the two-decade environmental impact of large-scale agricultural cultivation and its impact on climate change in the Lajta-Project

2021 ◽  
Author(s):  
András Polgár ◽  
Karolina Horváth ◽  
Imre Mészáros ◽  
Adrienn Horváth ◽  
András Bidló ◽  
...  
Keyword(s):  
Climate Change ◽  
Life Cycle ◽  
Environmental Impact ◽  
Winter Wheat ◽  
Environmental Impacts ◽  
Crop Production ◽  
Large Scale ◽  
Winter Barley ◽  
Cultivated Plants ◽  
Agricultural Activity

<p>Crop production is applied on about half of Hungary’s land area, which amounts to approximately 4.5 million hectares. The agricultural activity has significant environmental impacts.</p><p>Our work aims the time series investigation of the impacts of large-scale agricultural cultivation<strong> </strong>on environment and primarily on climate change in<strong> </strong>the test area by applying environmental life cycle assessment (LCA) method.</p><p>The investigated area of Lajta Project can be found in the triangle formed by the settlements Mosonszolnok, Jánossomorja and Várbalog, in the north-western corner of Hungary, in Győr-Moson-Sopron county. The area has intense agri-environment characteristics, almost entirely lacking of grasslands and meadows.</p><p>We were looking for the answer to the question “To what extent does agricultural activity on this area impact the environment and how can it contribute to climate change during a given period?” The selection of the plants included in the analysis was justified by their significant growing area. We analysed the cultivation data of 5 crops: canola, winter barley, winter wheat, green maize and maize. Material flows of arable crop production technologies were defined in time series by the agricultural parcel register data. These covered the size of the area actually cultivated, the operational processes, records on seeds, fertilizer and pesticide use and harvest data by parcels. The examined environmental inventory database contained also the fuel consumption and lubricating oil usage of machine operations, and the water usage of chemical utilization.</p><p>In the life cycle modelling of cultivation, we examined 13 years of maize, 20 years of green maize, 20 years of winter barley, 18 years of winter wheat and 15 years of canola data calculated on 1 ha unit using GaBi life cycle analysis software.</p><p>In addition, we also calculated by an average cultivation model for all cultivated plants with reference data to 1 ha and 1 year period.</p><p>We applied methods and models in our life cycle impact assessment. According to the values of the impact categories, we set up the following increasing environmental ranking of plant cultivation: (1) canola has minimum environmental impacts followed by (2) green maize and (3) maize with slightly higher values, (4) winter barley has 6 times higher values preceded by (5) winter wheat with a slight difference. The previous environmental ranking of the specific cultivated plants’ contribution was also confirmed as regards the overall environmental impact: canola (1.0%) – green maize (4.9%) – maize (7.1%) – winter barley (43.1%) – winter wheat (44.0%).</p><p>Environmental impact category indicator results cumulated to total cultivation periods and total crop growing areas (quantitative approach) display the specific environmental footprints by crops. Increasing environmental ranking of environmental impacts resulted from cultivating the sample area is the following: (1) canola – (2) maize – (3) green maize – (4) winter barley – (5) winter wheat. The slight difference resulted in the rankings in quantitative approach according to the rankings of territorial approach on the investigated area is due to the diversity of cultivation time factor and the crop-growing parameter of the specific crops.</p><p>Acknowledgement: Our research was supported by the „Lajta-Project”.</p>

scholarly journals Characterization of an Ohio Isolate of Brome Mosaic Virus and Its Impact on the Development and Yield of Soft Red Winter Wheat

Plant Disease ◽  
2019 ◽  
Vol 103 (6) ◽  
pp. 1101-1111 ◽  
Author(s):  
B. A. Hodge ◽  
J. D. Salgado ◽  
P. A. Paul ◽  
L. R. Stewart
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Mosaic Virus ◽  
Large Scale ◽  
Field Experiments ◽  
Brome Mosaic Virus ◽  
Yield Reduction ◽  
Soft Red Winter Wheat ◽  
Growing Seasons ◽  
Red Winter Wheat

Brome mosaic virus (BMV) is generally thought to be of little economic importance to crops; consequently, there is little information about its impact on wheat production under field conditions. After repeated detection of BMV in Ohio wheat fields at incidences up to 25%, the virus was isolated, sequenced, characterized, and tested for its impact on soft red winter wheat (SRWW). The Ohio isolate of brome mosaic virus (BMV-OH) was found to be >99% identical to a BMV-Fescue isolate (accession no. DQ530423-25) and capable of systemically infecting multiple monocot and dicot species, including cowpea and soybean, in experimental inoculations. BMV-OH was used in field experiments during the 2016 and 2017 growing seasons to quantify its effect on SRWW grain yield and development when inoculated at Feekes 1, 5, 8, and 10 in two to four cultivars. Cultivar and timing of inoculation had statistically significant (P < 0.05) main and interaction effects on grain yield, wheat growth, and multiple components of yield. Compared with noninoculated controls, BMV-OH reduced grain yield by up to 61% when inoculated at Feekes 1 and by as much as 25, 36, and 31% for inoculations at Feekes 5, 8, and 10, respectively. The magnitude of the yield reduction varied among cultivars and was associated with reductions in grain size and weight or plant population. These findings suggest that BMV could impact wheat productivity in Ohio and will serve as the basis for more large-scale investigations of the effects of this virus in commercial fields.

scholarly journals Yearly change of Wheat dwarf virus infection rate during 1996-2010 in winter barley

2010 ◽  
pp. 22-28
Author(s):  
Emil Pocsai ◽  
István Murányi
Keyword(s):  
Winter Barley ◽  
Yellow Dwarf ◽  
Dwarf Virus ◽  
Main Role ◽  
Wheat Dwarf Virus ◽  
Breeding Lines ◽  
Barley Yellow Dwarf ◽  
Leaf Yellowing ◽  
Yearly Change ◽  
Yellow Dwarf Virus

Yearly change of the infection of Wheat dwarf virus was studied in winter barley during 1996-2010. Surveys were carried out at Kompolt (Rudolf Fleischmann Research Institute, Róbert Károly College), in winter barley breeding lines showing leaf yellowing and stunting symptoms. In 1996, 250 winter barley samples were tested. During the period of 1997–2005, 100 samples were collected in each year. In 2006, 490 winter barley samples were tested. In 2007 and 2008 the number of samples collected was 500 from winter barley. In 2009 year 100, and in 2010 year 100 winter barley samples were collected for virus testing. Virus diagnosis was carried out using DASELISA for the detection of Wheat dwarf virus (WDV), Barley yellow dwarf viruses (BYDV-MAV, BYDV-PAV, BYDV-RMV, BYDV-SGV), and Cereal yellow dwarf virus (CYDV-RPV). During the ten of the last fifteen years, the occurrence of Wheat dwarf virus in infected samples exceeded those of other viruses causing leaf yellowing and dwarfing symptoms. There were years (1997, 2002, 2004, 2007, 2009 and 2010) when only the Wheat dwarf virus played the main role in development of yirus symtoms. A contrasting tendency can be observed between the degrees of infection of WDV and BYDV. With a rise of infection in the WDV, the proportion of BYDV decreased and vice-versa. 

Modified Recurrent Selection for Barley Yellow Dwarf Virus Tolerance in Winter Wheat

Crop Science ◽  
1994 ◽  
Vol 34 (2) ◽  
pp. 371-375 ◽  
Author(s):  
Ellen M. Bauske ◽  
Frederic L. Kolb ◽  
Adrianna D. Hewings ◽  
Gordon Cisar
Keyword(s):  
Winter Wheat ◽  
Recurrent Selection ◽  
Barley Yellow Dwarf Virus ◽  
Yellow Dwarf ◽  
Dwarf Virus ◽  
Barley Yellow Dwarf ◽  
Virus Tolerance ◽  
Selection For ◽  
Yellow Dwarf Virus

Smallseed Falseflax (Camelina microcarpa) Management in Oklahoma Winter Wheat

2021 ◽  
pp. 1-14
Author(s):  
Jodie A. Crose ◽  
Misha R. Manuchehri ◽  
Todd A. Baughman
Keyword(s):  
Winter Wheat ◽  
Weed Control ◽  
Herbicide Resistance ◽  
Wheat Yield ◽  
Acetolactate Synthase ◽  
Growing Season ◽  
Time Of Application ◽  
Adequate Control ◽  
Growing Seasons

Abstract Three herbicide premixes have recently been introduced for weed control in wheat. These include: halauxifen + florasulam, thifensulfuron + fluroxypyr, and bromoxynil + bicyclopyrone. The objective of this study was to evaluate these herbicides along with older products for their control of smallseed falseflax in winter wheat in Oklahoma. Studies took place during the 2017, 2018, and 2020 winter wheat growing seasons. Weed control was visually estimated every two weeks throughout the growing season and wheat yield was collected in all three years. Smallseed falseflax size was approximately six cm in diameter at time of application in all years. Control ranged from 96 to 99% following all treatments with the exception of bicyclopyrone + bromoxynil and dicamba alone, which controlled falseflax 90%. All treatments containing an acetolactate synthase (ALS)-inhibiting herbicide achieved adequate control; therefore, resistance is not suspected in this population. Halauxifen + florasulam and thifensulfuron + fluroxypyr effectively controlled smallseed falseflax similarly to other standards recommended for broadleaf weed control in wheat in Oklahoma. Rotational use of these products allows producers flexibility in controlling smallseed falseflax and reduces the potential for development of herbicide resistance in this species.

scholarly journals Aroma Profile, Microbial and Chemical Quality of Ensiled Green Forages Mixtures of Winter Cereals and Italian Ryegrass

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 512
Author(s):  
Alemayehu Worku ◽  
Tamás Tóth ◽  
Szilvia Orosz ◽  
Hedvig Fébel ◽  
László Kacsala ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Winter Barley ◽  
Italian Ryegrass ◽  
Chemical Quality ◽  
Winter Cereal ◽  
Aroma Profile ◽  
Winter Triticale ◽  
Winter Cereals ◽  
Mold And Yeast

The objective of this study was to evaluate the aroma profile, microbial and chemical quality of winter cereals (triticale, oats, barley and wheat) and Italian ryegrass (Lolium multiflorum Lam., IRG) plus winter cereal mixture silages detected with an electronic nose. Four commercial mixtures (mixture A (40% of two cultivars of winter triticale + 30% of two cultivars of winter oats + 20% of winter barley + 10% of winter wheat), mixture B (50% of two cultivars of winter triticale + 40% of winter barley + 10% of winter wheat), mixture C (55% of three types of Italian ryegrass + 45% of two cultivars of winter oat), mixture D (40% of three types of Italian ryegrass + 30% of two cultivars of winter oat + 15% of two cultivars of winter triticale + 10% of winter barley + 5% of winter wheat)) were harvested, wilted and ensiled in laboratory-scale silos (n = 80) without additives. Both the principal component analysis (PCA) score plot for aroma profile and linear discriminant analysis (LDA) classification revealed that mixture D had different aroma profile than other mixture silages. The difference was caused by the presence of high ethanol and LA in mixture D. Ethyl esters such as ethyl 3-methyl pentanoate, 2-methylpropanal, ethyl acetate, isoamyl acetate and ethyl-3-methylthiopropanoate were found at different retention indices in mixture D silage. The low LA and higher mold and yeast count in mixture C silage caused off odour due to the presence of 3-methylbutanoic acid, a simple alcohol with unpleasant camphor-like odor. At the end of 90 days fermentation winter cereal mixture silages (mixture A and B) had similar aroma pattern, and mixture C was also similar to winter cereal silages. However, mixture D had different aromatic pattern than other ensiled mixtures. Mixture C had higher (p < 0.05) mold and yeast (Log10 CFU (colony forming unit)/g) counts compared to mixture B. Mixture B and C had higher acetic acid (AA) content than mixture A and D. The lactic acid (LA) content was higher for mixture B than mixture C. In general, the electronic nose (EN) results revealed that the Italian ryegrass and winter cereal mixtures (mixture D) had better aroma profile as compared to winter cereal mixtures (mixture A and B). However, the cereal mixtures (mixture A and B) had better aroma quality than mixture C silage. Otherwise, the EN technology is suitable in finding off odor compounds of ensiled forages.

scholarly journals Identification of the Genetic Basis of Response to de-Acclimation in Winter Barley

2021 ◽  
Vol 22 (3) ◽  
pp. 1057
Author(s):  
Magdalena Wójcik-Jagła ◽  
Agata Daszkowska-Golec ◽  
Anna Fiust ◽  
Przemysław Kopeć ◽  
Marcin Rapacz
Keyword(s):  
Enzyme Activity ◽  
Stress Response ◽  
Genetic Basis ◽  
Differential Expression Analysis ◽  
Winter Barley ◽  
Developmental Changes ◽  
Molecular Regulation ◽  
Quantitative Real Time Pcr ◽  
Breeding Lines ◽  
Functionally Diverse

Mechanisms involved in the de-acclimation of herbaceous plants caused by warm periods during winter are poorly understood. This study identifies the genes associated with this mechanism in winter barley. Seedlings of eight accessions (four tolerant and four susceptible to de-acclimation cultivars and advanced breeding lines) were cold acclimated for three weeks and de-acclimated at 12 °C/5 °C (day/night) for one week. We performed differential expression analysis using RNA sequencing. In addition, reverse-transcription quantitative real-time PCR and enzyme activity analyses were used to investigate changes in the expression of selected genes. The number of transcripts with accumulation level changed in opposite directions during acclimation and de-acclimation was much lower than the number of transcripts with level changed exclusively during one of these processes. The de-acclimation-susceptible accessions showed changes in the expression of a higher number of functionally diverse genes during de-acclimation. Transcripts associated with stress response, especially oxidoreductases, were the most abundant in this group. The results provide novel evidence for the distinct molecular regulation of cold acclimation and de-acclimation. Upregulation of genes controlling developmental changes, typical for spring de-acclimation, was not observed during mid-winter de-acclimation. Mid-winter de-acclimation seems to be perceived as an opportunity to regenerate after stress. Unfortunately, it is competitive to remain in the cold-acclimated state. This study shows that the response to mid-winter de-acclimation is far more expansive in de-acclimation-susceptible cultivars, suggesting that a reduced response to the rising temperature is crucial for de-acclimation tolerance.

scholarly journals Rattail fescue (Vulpia myuros) interference and seed production as affected by sowing time and crop density in winter wheat

Weed Science ◽  
2020 ◽  
pp. 1-10
Author(s):  
Muhammad Javaid Akhter ◽  
Per Kudsk ◽  
Solvejg Kopp Mathiassen ◽  
Bo Melander
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Seed Production ◽  
Yield Components ◽  
Field Experiments ◽  
Growing Season ◽  
Sowing Time ◽  
Growing Seasons ◽  
Crop Density ◽  
Wide Range

Abstract Field experiments were conducted in the growing seasons of 2017 to 2018 and 2018 to 2019 to evaluate the competitive effects of rattail fescue [Vulpia myuros (L.) C.C. Gmel.] in winter wheat (Triticum aestivum L.) and to assess whether delayed crop sowing and increased crop density influence the emergence, competitiveness, and fecundity of V. myuros. Cumulative emergence showed the potential of V. myuros to emerge rapidly and under a wide range of climatic conditions with no effect of crop density and variable effects of sowing time between the two experiments. Grain yield and yield components were negatively affected by increasing V. myuros density. The relationship between grain yield and V. myuros density was not influenced by sowing time or by crop density, but crop–weed competition was strongly influenced by growing conditions. Due to very different weather conditions, grain yield reductions were lower in the growing season of 2017 to 2018 than in 2018 to 2019, with maximum grain yield losses of 22% and 50% in the two growing seasons, respectively. The yield components, number of crop ears per square meter, and 1,000-kernel weight were affected almost equally, reflecting that V. myuros’s competition with winter wheat occurred both early and late in the growing season. Seed production of V. myuros was suppressed by delaying sowing and increasing crop density. The impacts of delayed sowing and increasing crop density on seed production of V. myuros highlight the potential of these cultural weed control tactics in the long-term management programs of this species.

Nitrous oxide and carbon dioxide emissions from monoculture and rotational cropping of corn, soybean and winter wheat

2008 ◽  
Vol 88 (2) ◽  
pp. 163-174 ◽  
Author(s):  
C F Drury ◽  
X M Yang ◽  
W D Reynolds ◽  
N B McLaughlin
Keyword(s):  
Carbon Dioxide ◽  
Nitrous Oxide ◽  
Winter Wheat ◽  
Carbon Dioxide Emissions ◽  
Crop Residue ◽  
Agricultural Land ◽  
Application Rate ◽  
Climatic Conditions ◽  
Growing Seasons ◽  
Previous Crop

It is well established that nitrous oxide (N2O) and carbon dioxide (CO2) emissions from agricultural land are influenced by the type of crop grown, the form and amount of nitrogen (N) applied, and the soil and climatic conditions under which the crop is grown. Crop rotation adds another dimension that is often overlooked, however, as the crop residue being decomposed and supplying soluble carbon to soil biota is usually from a different crop than the crop that is currently growing. Hence, the objective of this study was to compare the influence of both the crop grown and the residues from the preceding crop on N2O and CO2 emissions from soil. In particular, N2O and CO2 emissions from monoculture cropping of corn, soybean and winter wheat were compared with 2 -yr and 3-yr crop rotations (corn-soybean or corn-soybean-winter wheat). Each phase of the rotation was measured each year. Averaged over three growing seasons (from April to October), annual N2O emissions were about 3.1 to 5.1 times greater in monoculture corn (2.62 kg N ha-1) compared with either monoculture soybean (0.84 kg N ha-1) or monoculture winter wheat (0.51 kg N ha-1). This was due in part to the higher inorganic N levels in the soil resulting from the higher N application rate with corn (170 kg N ha-1) than winter wheat (83 kg N ha-1) or soybean (no N applied). Further, the previous crop also influenced the extent of N2O emissions in the current crop year. When corn followed corn, the average N2O emissions (2.62 kg N ha-1) were about twice as high as when corn followed soybean (1.34 kg N ha-1) and about 60% greater than when corn followed winter wheat (1.64 kg N ha-1). Monoculture winter wheat had about 45% greater CO2 emissions than monoculture corn or 51% greater emissions than monoculture soybean. In the corn phase, CO2 emissions were greater when the previous crop was winter wheat (5.03 t C ha-1) than when it was soybean (4.20 t C ha-1) or corn (3.91 t C ha-1). Hence, N2O and CO2 emissions from agricultural fields are influenced by both the current crop and the previous crop, and this should be accounted for in both estimates and forecasts of the emissions of these important greenhouse gases. Key words: Denitrification, soil respiration, rotation, crop residue

Sign in / Sign up

Export Citation Format

Share Document