Добірка наукової літератури з теми "Basal stem application"
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Статті в журналах з теми "Basal stem application"
DiTomaso, Joseph, and Guy Kyser. "Control of Ailanthus altissima Using Stem Herbicide Application Techniques." Arboriculture & Urban Forestry 33, no. 1 (January 1, 2007): 55–63. http://dx.doi.org/10.48044/jauf.2007.007.
Повний текст джерелаMiller, James H. "Streamline Basal Application of Herbicide for Small-Stem Hardwood Control." Southern Journal of Applied Forestry 14, no. 4 (November 1, 1990): 161–65. http://dx.doi.org/10.1093/sjaf/14.4.161.
Повний текст джерелаHolmes, Katherine A., and Alison M. Berry. "Evaluation of Off-Target Effects Due to Basal Bark Treatment for Control of Invasive Fig Trees (Ficus carica)." Invasive Plant Science and Management 2, no. 4 (October 2009): 345–51. http://dx.doi.org/10.1614/ipsm-09-029.1.
Повний текст джерелаBlythe, Eugene K., Jeff L. Sibley, Ken M. Tilt, and John M. Ruter. "Foliar Application of Auxin for Rooting Stem Cuttings of Selected Ornamental Crops." Journal of Environmental Horticulture 21, no. 3 (September 1, 2003): 131–36. http://dx.doi.org/10.24266/0738-2898-21.3.131.
Повний текст джерелаKochenderfer, Jeffrey D., James N. Kochenderfer, David A. Warner, and Gary W. Miller. "Preharvest Manual Herbicide Treatments for Controlling American Beech in Central West Virginia." Northern Journal of Applied Forestry 21, no. 1 (March 1, 2004): 40–49. http://dx.doi.org/10.1093/njaf/21.1.40.
Повний текст джерелаSmith, Bryan A., Artem Sokolov, Vladislav Uzunangelov, Robert Baertsch, Yulia Newton, Kiley Graim, Colleen Mathis, Donghui Cheng, Joshua M. Stuart, and Owen N. Witte. "A basal stem cell signature identifies aggressive prostate cancer phenotypes." Proceedings of the National Academy of Sciences 112, no. 47 (October 12, 2015): E6544—E6552. http://dx.doi.org/10.1073/pnas.1518007112.
Повний текст джерелаR. Bhaskaran, N. Ramadoss, A. Karthikeyan, and T.K. Ramachandran. "BIOLOGICAL CONTROL OF BASAL STEM ROT DISEASE OF COCONUT." CORD 9, no. 01 (June 1, 1993): 34. http://dx.doi.org/10.37833/cord.v9i01.263.
Повний текст джерелаLi, Guohui, Xin Chen, Chiyan Zhou, Zijun Yang, Chenhui Zhang, Zepeng Huang, Wen Pan, and Ke Xu. "Vascular Bundle Characteristics of Different Rice Variety Treated with Nitrogen Fertilizers and Its Relation to Stem Assimilates Allocation and Grain Yield." Agriculture 12, no. 6 (May 28, 2022): 779. http://dx.doi.org/10.3390/agriculture12060779.
Повний текст джерелаBovey, Rodney W., Hugo Hein, and Robert E. Meyer. "Concentration of 2,4,5-T, Triclopyr, Picloram, and Clopyralid in Honey Mesquite (Prosopis glandulosa) Stems." Weed Science 34, no. 2 (March 1986): 211–17. http://dx.doi.org/10.1017/s0043174500066698.
Повний текст джерелаCarpenter, W. J., and J. A. Cornell. "Auxin Application Duration and Concentration Govern Rooting of Hibiscus Stem Cuttings." Journal of the American Society for Horticultural Science 117, no. 1 (January 1992): 68–74. http://dx.doi.org/10.21273/jashs.117.1.68.
Повний текст джерелаДисертації з теми "Basal stem application"
Tengku, Mohd Azahar Tuan Dir. "Génération de prédiction par la combinaison de fusion de données et de modélisation spatio-temporelle : application à la localisation de la répartition de la maladie basal stem rot dans les plantations de palmiers à huile." Thesis, La Rochelle, 2012. http://www.theses.fr/2012LAROS386.
Повний текст джерелаThis thesis represents a new approach for predicting plant disease in a plantation through combination of data fusion and spatio-temporal modelling. Plant disease is a major problem in the world of agriculture. Example in Malaysia, basalstem rot disease (BSR) caused by Ganoderma Boinense is the most serious disease for oil palm plantation in Malaysia. The fungus infects oil palm trees, initially causing yield loss and finally killing the trees. Various factors were previously reported to influence incidence of BSR, such as previous crops, techniques for replanting, types of soils and the age of trees. At present effective and sustainable management strategies to control BSR are hampered mainly by a lack of understanding of mechanisms of disease establishment, development and spread. The present research is an attempt to apply data fusion technique and temporal modelling in Geographical Information System (GIS) to investigate the behaviour of plant disease in a specific area (small skill area). This research will focus on how GIS can help to assess the distribution plant disease in a small scale plantation. With concurrent advances in global positioning systems (GPS) and the use of geographical Information Systems(GIS) techniques have provided powerful analysis tools for precision agriculture. Data for analysis were obtained from oil palm planting density experiments at MPOB research stations at Teluk Intan, Perak, Malaysia. In the case of BSR disease, the results of the predictive modelling show a significance correlation between predicted BSR diseases with visually observed BSR data. It found that the proposed predictive modelling has well predicted the presence of BSR disease. Although at the beginning stage of BSR diseases infection, the model has not fitted exactly the distribution of the disease, we believe that with the proper selection of the source of data, the performance of the model will be improved.Overall, the model has well predicted the presence of diseases with accuracy up to 98.9%
(13157903), Earl Sparkes. "Development of herbicide control options for Prosopis velutina as part of an integrated control strategy." Thesis, 2003. https://figshare.com/articles/thesis/Development_of_herbicide_control_options_for_Prosopis_velutina_as_part_of_an_integrated_control_strategy/20380371.
Повний текст джерелаProsopis spp. are prolific seeders with estimates of seed production reaching from 630,000 to 980,000 seeds per mature tree per annum (Felker 1979; Harding 1988). Prosopis velutina shrubs have been recorded to produce up to 5,000 seeds per year (Glendening and Paulsen
1955). The plant has the ability to establish on disturbed or bare soil and can develop into very dense infestations. The plant often grows on scalded areas devoid of other vegetation and out-competes native herbage for moisture and light.
The plant is armed with long axillary spines; it branches from the base and has long arching stems. Its leaves are not commonly eaten by sheep and bovine breeds. Consequently, it forms dense stands that restrict the movement of stock, particularly around watering points, and this interferes with mustering.
There are many options for control of mesquite with herbicide application being integral in a management suite of mesquite control initiatives. Other control methods, which limit its distribution and spread, include mechanical removal, grazing management, competitive pasture
establishment, biological control, and a burning regime where adequate fuel is available.
The thesis discusses merits of the Prosopis species. Commonly known as mesquite or prickly bush, the Australian pest plant is endemic in the southern United States. The description then turns to how the weed was introduced into Queensland at both Quilpie and Hughenden in the north of the state. Some detail is given to its distribution and the effects on primary producers and the environment, and on the cost of control initiatives conducted through the Queensland Department of Natural Resources and Mines.
Scientific findings from the research process are considerable given the base knowledge when the mesquite research project was revived in 1989. Initially, a research review of available literature was conducted revealing a large pool of knowledge from the United States of America. Their research findings on foliar applied herbicides have resulted in a high utilization of tank mixes principally containing triclopyr + clopyralid formulations sometimes with hydrocarbon additives. A more comprehensive summary of field research findings for Queensland is compiled as part of this thesis (Chapter 8) and presents some herbicide control options and constraints that may qualify their performance. Basal stem research in North America has produced many adopted recommendations. There have been numerous experiments on controlling mesquite with herbicides with many referred to in Control of Mesquite in the USA (Chapter 1).
Chapter 2 presents a comparative analysis conducted to determine the different effects of applied herbicides to targeted young mesquite when applied in early summer compared to application in autumn. Formulations of fluroxypyr as well as metsulfuron methyl did not prove
efficacious in this trial. For the first time glyphosate proved to be a valuable herbicide in controlling mesquite when applied in autumn. Triclopyr + picloram and triclopyr alone proved to be more effective following wet conditions when applied in the early summer compared to the autumn application. However, treated plants growing adjacent to continuous paddock ponding were able to recover. Clopyralid exhibited high efficacy in both early summer and autumn treatment applications.
Following poor control of Prosopis velutina at Quilpie by treatments recommended for control
of Prosopis pallida, a potted plant pilot trial was conducted to determine if the two species responded similarly (Chapter 3). The results indicated that Prosopis velutina was ineffectively controlled by herbicide application, at standard rates, compared to the control of Prosopis pallida. The follow-on replicated trial detail in Chapter 4 indicates a similar response for both
species. The effects of the treatments indicated differing susceptibility between the two species,
with metsulfuron, fluroxypyr, 2,4-D + picloram and triclopyr + picloram demonstrating the most pronounced differences compared to the glyphosate formulations here negligible difference occurred. A re -application of all herbicides to the surviving plants, and to a control
group, indicated that susceptibility can decrease when a follow-up application is in autumn and the time since initial application is short. This trend was particularly noticeable for P. velutina where previous sub -lethal damage prevented effective herbicide action.
More fieldwork was conducted following this shade -house work as a prolific growth phase occurred in Quilpie mesquite in the early summer of 1999 (Chapter 5). Four glyphosate, and four triclopyr tank mixes and a control set out in each of three habitats made up the 27 plots evaluated in this aerial herbicide experiment. The triclopyr + picloram formulations at 5 and 7 L ha -1 with the addition of paraffinic oil (582 g L-1) and non-ionic surfactants (208 g L-1) produced the most efficacious and uniform results although triclopyr treatment with the addition of 1000 g L-1 alcohol alkoxylate produced similar results. However, the long-term effect was compromised because of the lack of a residual component in this formulation.
A more manageable result was obtained when larger older plants were foliar overall sprayed using truck -mounted high pressure equipment (Chapter 6). A total of 33 treatments were assessed after each of four assessments of various herbicide mixtures. A blocking factor was plant density. Glyphosate tank formulations were consistently more efficient than other treatments, at all densities, except in combination with metsulfuron methyl. In the low density plots flumetsulam 0.10 g L-1 + glyphosate 3.60 g L-1 tank mix performed significantly better
than other treatments between the second and third applications and the third and fourth applications. Treatments containing clopyralid also showed high efficacy.
A further experiment using the most common method of control (basal stem application technology) was conducted using dieseline as the herbicide carrier in March 1995 (Chapter 7).
The higher strength treatments with dicamba and triclopyr formulations showed the most activity irrespective of plant size (> 1.5 m or < 1.5 m) or water availability with the higher strength of each formulation, dichloromethoxybenzoic amine @ 10 g a.i. L-1 and triclopyr butoxyethyl ester 10 g a.i. L-1, being the most efficacious and not showing significant differenc from each other.
In conclusion a three-year cycle planner was developed incorporating best control strategies researched within this thesis (Chapter 8). Suggestions were also put forward covering grazing management to enhance the effect of control strategies.
Частини книг з теми "Basal stem application"
Louchet, Francois. "Slab Avalanche Modeling." In Snow Avalanches, 36–44. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198866930.003.0005.
Повний текст джерелаSarasini, Fabrizio, Jacopo Tirillò, Vincenzo Fiore, Antonino Valenza, Lorena Saitta, Claudio Tosto, Gianluca Cicala, et al. "Environmentally Friendly Composites and Surface Treatments for Metal-to-Composite Hybrid Joints for Marine Application." In Progress in Marine Science and Technology. IOS Press, 2022. http://dx.doi.org/10.3233/pmst220053.
Повний текст джерелаТези доповідей конференцій з теми "Basal stem application"
Farrell, Megan J., Tiffany L. Zachry, and Robert L. Mauck. "Micromechanical Deformation of Chondrogenic Mesenchymal Stem Cells in 3D Hydrogels is Modulated by Time in Culture and Matrix Connectivity." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19534.
Повний текст джерелаKamu, Assis, Chong Khim Phin, Idris Abu Seman, Hoong Hak Wan, and Ho Chong Mun. "Spatial statistical analysis of basal stem root disease under natural field epidemic of oil palm." In THE 2ND ISM INTERNATIONAL STATISTICAL CONFERENCE 2014 (ISM-II): Empowering the Applications of Statistical and Mathematical Sciences. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4907420.
Повний текст джерелаShin, Dong-Hui, Jeong-Yeon Lee, Ki-Seok Jang, Kyueng-Whan Min, Si-Hyong Jang, Seung Hyun Oh, and Gu Kong. "Abstract A040: Id-1 increases mammary basal stem cell activity and tumorigenesis by activating the Wnt/c-Myc pathway." In Abstracts: AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications - October 3-6, 2013; San Diego, CA. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1557-3125.advbc-a040.
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