478 research outputs found

    Crop oil additives to herbicides

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    Crop oil additives to herbicides - 84LG42. Umbrella grass (Cyperus eragrostis) control in irrigated pasture - 85HA1. Stinkwort control - 85NO5, 85PE14. Ice plant (Mesembryanthem nodiflorum) control in crop and pasture - 83SG20, 83SG21

    Crop oils and herbicides, crop establishments, weed control,, isoproturon evaluation, radish control, topping trial 1985 report.

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    Grass control with Hoegrass plus oil (Rates of Hoegrass + oil). TRIAL 1. 86 NO 121. Grass and broadleaf weed control with herbicides and oil, 86 MO 51. Grass control with Fusilade and crop oil (Lupins) 86 NO 120. Grass control with Fusilade and crop oil (Lupins), 86 KA 89. Grass control with Hoegrass, Fusilade and crop oil (Serena medic) 86 MO 44. Hoegrass and Oil Tolerance, 86 NO 124. Hoegrass Rates x Oils for Wild Oats Control in Wheat, 86 NO 118. The effect of timing of Roundup CT and Sprayseed application and cultivation on crop establishment and growth, 86WH38. Tillmaster Evaluation, 86NRS35, 86WH61. Knockdown trial on large weeds. Doublegee Control with Ally in wheat, 86 WH 76. Dock Control in Oats with Ally, 86 NA 59. Isoproturon - Timing of application on efficacy and crop damage, 86ARS14. Isoproturon - Timing of application on efficacy and crop damage, 86WH63. Isoproturon mixes for grass and broadleaf weed control, 86N0123. Isoproturon mixes for grass and broadleaf weed control, 86M045. Additives to Isoproturon for improved post emergence activity, 86N0122. Herbicides, including phenoxy mixes for doublegee control in lupins, 86N0101. Herbicides including phenoxy mixes for radish control in lupins, 86GE34. Herbicides, including phenoxy mixes for radish control in lupins, 86GE35. TRIAL NUMBER: 86GE36 - Dongara - Not Harvested. TRIAL NUMBER: 86M036 - Moora District Office. Rates of Fusilade for seed set control in grasses (Barley Grass), 85A15. Timing of Fusilade for barley grass seed set control, 85A16. Pasture topping herbicides and oils (silver grass), 85A17. Crop oil additives to seed set control herbicides, 85WH6

    Herbicide, cereal, wheat tolerance. weed, melon, Paterson\u27s curse, Iceplant, mesquite cotton bush chemical control

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    Herbicide tolerance trials – Merredin, Wongan Hills, Mount Barker. Cereal (wheat) Tolerance to various herbicides - 83LG37. Tolerance of wheat varieties to phenoxy herbicides - 83MO42. Long-term weed control on railway track - 81PE12, 81MO41. Melon control herbicides for melon control - 84M08, 84M09. Control of Paterson\u27s Curse in Pasture - 83SW1. Chemical Topping of Paterson\u27s Curse. Control of Iceplant (Mesembryanthemum nodiflorum) in crop and pasture - 83SG20, 83SG21. Chemical Control of Mesquite (Prosopis juliflora) - 82PH1. Chemical Control and Biology of Narrow Leaf Cotton Bush (Gomphocarpus fructicosa)

    A comparison of filtration rates among pelagic tunicates using kinematic measurements

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    Author Posting. © The Author(s), 2009. This is the author's version of the work. It is posted here by permission of Springer for personal use, not for redistribution. The definitive version was published in Marine Biology 157 (2010): 755-764, doi:10.1007/s00227-009-1359-y.Salps have higher filtration rates than most other holoplankton, and are capable of packaging and exporting primary production from surface waters. A method of kinematic analysis was employed to accurately measure salp feeding rates. The data were then used to explain how diverse body morphologies and swimming motions among species and lifecycle stages influence salp feeding performance. We selected five species, representing a range of morphologies and swimming styles, and used digitized outlines from video frames to measure body-shape change during a pulse cycle. Time-varying body volume was then calculated from the digitized salp outlines to estimate the amount of fluid passing through the filtering mesh. This non-invasive method produced higher feeding rates than other methods and revealed that body volume, pulse frequency and degree of contraction are important factors for determining volume filtered. Each species possessed a unique combination of these three characteristics that resulted in comparable filtration (range: 0.44 - 15.33 ml s-1) and normalized filtration rates (range: 0.21 – 1.27 s-1) across species. The convergence of different species with diverse morphologies on similar normalized filtration suggests a tendency towards a flow optimum.This work was supported by NSF project OCE-0647723

    Cereal crop tolerance to herbicides

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    The 1984 experimental programme was a continuation of that started in 1981. The programme was aimed at evaluating the major herbicides in current use for cereals as well as new herbicides against the recommended varieties at three main sites, these being Wongan Hills, Merredin and Mt Barker. In addition Stage 4 breeding lines were evaluated against the same herbicides but only at Wongan Hills. The herbicides used and their rates and time of application are presented in Table 1. Herbicides were applied at both the recommended and twice the recommended rates of application, except in the breeding line trial where only twice the recommended rate was used. Smaller experiments using only 3 wheat and 2 barley varieties were conducted at Geraldton (84GE52) and Avondale. The Geraldton and Avondale experiments indicated good tolerance to the herbicides used at the recommended rates with the exception of Glean on barley (applied prior to seeding rather than at the Z12-13 stage) at both sites. The work on herbicide tolerance of cereals in 1985 will look in more detail at the effects of environment on herbicide response with particular emphasis on the effects of low nutrient status of the crop and waterlogging, at upgrading the evaluation of Stage 4 breeding lines, and at the evaluation of new herbicides which promise selective grass control within the cereal crop

    Experimental summaries various trials 1985

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    85WH55, 85M55. The effect of timing of Roundup and spray. 85NO87, Evaluation of herbicides for control of lupins in cereals. 85NO89, Control of self sown lupins in cereal crops. 85NA59, Grass controI in barley with Isoproturon, Cinch and Metribuzin. 85NO88, Control of wild oats with hoegrass and oil. 85NO86, Tolerance of wheat to hoegrass and oil. 85NO84, Tolerance of lupins to Fusilade plus oil. 85NA63, Ryegrass control in crop with hoegrass plus crop oil. 85A15, Rates of Fusilade for seed set control in grasses. 85A17, Pasture topping herbicides and oils (Silvergrass). 85WH64, Crop oil additives to seed set control herbicides. 85WH65, Oil additives and volume of application for pasture topping herbicides. 85MO, Crop oil additives to seed set control herbicides

    Annual ryegrass toxicity research summary of experiment results.

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    Experiments were set up to screen a range of herbicides which might give improved control of Anguina agrostis over the currently recommended paraquat. Two experiments examined Roundup, Fusilade and Sertin at two rates and two experiments screened eight herbicides at five rates from two x label recommendation to 0. 99 x Standard treatment was paraquat at 550 ml. Plots were 3 m x 30 m in the first two experiments and 3 x 5 m (per dilution) in the second. The herbicides were applied on 4/9, 17/9, 24/9, 1/10 and 9/10 (Zadoks stages 32 - 58). There were three replications with 54 nil control plots. Efficacy was measured as galls/m 2 recovered at maturity. Table 1 and Table 2 show the results from two sites, Dumbleyung and Corrigin respectively. No analysis has yet been undertaken and variability is extreme. Unless some form of covariance analysis using nil plots can be undertaken, no useful information can be obtained. Table 3 shows results from a single replication of a trial comparing nine herbicides applied by log dilution sprayer. Only two rates have been processed so far: the highest and lowest

    Composition and degradation of salp fecal pellets: Implications for vertical flux in oceanic environments

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    Changes in the sinking rates, ash-free dry weights, particulate carbon and nitrogen content, and carbon:nitrogen ratios from the fecal pellets of several species of oceanic salps were examined in ten-day decomposition studies. Although bacteria and protozoa became abundant in the incubation vessels, most of the fecal pellets remained physically intact throughout the study. Bacterial activity in the pellets (measured by the rate of uptake of 3H-thymidine) increased, but microbial degradation had little effect on the sinking speeds of most of the fecal pellets. The average losses of ash-free dry weight and carbon and nitrogen content, along with changes in carbon:nitrogen ratio, were small compared to their initial values. We conclude that microbial degradation of large salp fecal pellets would not prevent the vertical flux to the deep ocean of a significant fraction of the particulate organic material contained in the pellets. The fecal pellets of oceanic salps provide a rapid, and potentially important, mechanism for the consolidation and vertical transport of organic and lithogenic material associated with minute particles in the open ocean

    Enrichment of microbial populations in macroaggregates (marine snow) from surface waters of the North Atlantic

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    Marine snow particles (macroscopic detrital aggregates) were collected from surface waters throughout the western North Atlantic. Counts of phototrophic and heterotrophic picoplankton, phototrophic and heterotrophic nanoplankton, and phototrophic microplankton were made by epifluorescence microscopy. A Most Probable Number culture technique also was used to estimate the density of bacterivorous protozoa. All microbial populations enumerated were highly enriched on macroaggregates relative to their densities in the surrounding water. The degree of enrichment was greater in open ocean environments because microorganisms in the surrounding water were less abundant in the open ocean than in nearshore waters, and also because microbial density on marine snow was greater in the open ocean than in nearshore environments. Material released by ctenophores and appendicularia is a likely source of marine snow since it supported microbial populations of the same order of magnitude as were observed on SCUBA-collected particles. Heterotrophic nanoflagellates dominated the bacterivorous protozoa cultured from macroaggregates and the surrounding water, but dense populations of ciliates and amoebae also were present on particles. Protozoan populations on marine snow were so dense relative to the surrounding water as to suggest that detrital aggregates are responsible for the planktonic existence of some bacterivorous species
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