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Plant Weeds

Plant weeds are unwanted plants that grow in cultivated or uncultivated areas, often competing with desired plants for resources such as water, nutrients, and sunlight.
These plants can have a negative impact on crop yields, livestock grazing, and the overall health of an ecosystem.
Weed research aims to understand the biology, ecology, and management of these problematic species, with the goal of developing effective control strategies.
Researchers in this field utilize a variety of techniques, including field surveys, greenhouse studies, and genetic analyses, to identify and characterize weed species, understand their life cycles, and develop innovative weed management solutions.
By optimizing the research process and improving reproducibility, plant weed researchers can enhance the efficiency and impact of their work, ultimately contributing to more sustainable and productive agricultural practices.

Most cited protocols related to «Plant Weeds»

An attempt was made to sample the genetic diversity across C. gloeosporioides as widely as possible, with isolates from diverse hosts from around the world selected for more intensive study. A BLAST search of GenBank using the ITS sequence of the epitype culture of C. gloeosporioides (Cannon et al. 2008 ) provided a coarse estimate for the genetic limit of the C. gloeosporioides complex and ITS diversity across the complex was used to select a genetically diverse set of isolates. Voucher cultures were obtained from the research groups who deposited the GenBank records. To these were added isolates representing the known genetic and morphological diversity of C. gloeosporioides from New Zealand, isolated from rots of native and introduced fruits, from diseased exotic weeds, and as endophytes from leaves of native podocarps. Additional isolates representing ex-type and authentic cultures of as many named taxa and formae speciales within the C. gloeosporioides complex as possible were obtained from international culture collections. Approximately 400 isolates belonging to the C. gloeosporioides complex were obtained. GAPDH gene sequences were generated for all isolates as an initial measure of genetic diversity. A subset of 156 isolates, selected to represent the range of genetic, geographic, and host plant diversity, was used in this research (Table 1).
Most of the New Zealand isolates had been stored as conidial suspensions made from single conidium or ascospore cultures and then stored at -80 °C in a 5 % glycerol/water suspension. Additional isolates from New Zealand were obtained from the ICMP culture collection, where isolates are stored as lyophilised (freeze-dried) ampoules or in a metabolically inactive state in liquid nitrogen at -196 °C. The storage history of most of the isolates received from other research groups is not known. Table 1 lists the isolates studied. All those supplying cultures are acknowledged at the end of this manuscript, and additional details on each culture are available on the ICMP website (http://www.landcareresearch.co.nz/resources/collections/icmp).
Culture collection and fungal herbarium (fungarium) abbreviations used herein are: CBS = Centraalbureau voor Schimmelcultures (Netherlands), ICMP = International Collection of Microorganisms from Plants, MFLU = Mae Fah Luang University Herbarium (Thailand) MFLUCC = Mae Fah Luang University Culture Collection (Thailand), GCREC = University of Florida, Gulf Coast Research and Education Centre (USA), HKUCC = The University of Hong Kong Culture Collection (China), IMI = CABI Genetic Resource Collection (UK), MAFF = Ministry of Agriculture, Forestry and Fisheries (Japan), DAR = Plant Pathology Herbarium (Australia), NBRC = Biological Resource Center, National Institute of Technology and Evaluation (Japan), BCC = BIOTEC Culture Collection (Thailand), GZAAS = Guizhou Academy of Agricultural Sciences herbarium (China), MUCL = Belgian Co-ordinated Collections of Micro-organisms, (agro)industrial fungi & yeasts (Belgium), BRIP = Queensland Plant Pathology Herbarium (Australia), PDD = New Zealand Fungal and Plant Disease Collection (New Zealand), BPI = U.S. National Fungus Collections (USA), STE-U = Culture collection of the Department of Plant Pathology, University of Stellenbosch (South Africa), and MCA = M. Catherine Aime’s collection series, Louisiana State University (USA).
Publication 2012
Biopharmaceuticals Conidia Endophytes Freezing Fruit Fungi GAPDH protein, human Genes Genes, vif Genetic Diversity Glycerin Nitrogen Plant Diseases Plants Plant Weeds Reproduction Technology Assessment Yeasts
All plant and insect samples included in the present study were taken between September 2011 and September 2013.
Sampling of H. obsoletus was carried out in 30 vineyards and their surroundings in Eastern Austria (in the parts of the country where grapevines are cultivated) (Table 1). A. ribauti was collected at 4 test sites (Langenzersdorf, Klosterneuburg, Langenlois, Thürnthal), R. panzeri at one test site (Falkenstein 2). Insects were collected by vacuum sampling directly from U. dioica and C. arvensis using a modified garden blower-vac (Stihl, Dieburg, Germany). In case of H. obsoletus caught individuals were counted with reference to the size of the analysed nettle or bindweed plot. This allowed a rough estimation of insect numbers per m2 of ground cover. At the locations Falkenstein 1–3, Einöd/Kitzeck 1 and 2 and Rust 1–4 estimation of population size was based on 3–4 samplings per year in 2012 and in 2013. At all other locations population densities were surveyed only once per year.
Plant samples (Vitis vinifera, U. dioica, and C. arvensis) were taken in and around diseased vineyards and from the weeds on which infected insects had been collected. Field trapped H. obsoletus, R. panzeri and A. ribauti were used for transmission trials with Catharanthus roseus (cv. “Sorbas Reinweiß”, Austrosaat, Vienna, Austria), U. dioica and Convolvulus arvensis. Catharanthus roseus and Convolvulus arvensis (field collection) were grown from seeds and submitted to transmission experiments after around 2–3 months (length 8–10 cm). U. dioica plants were collected in an Alpine region where Hyalesthes and Reptalus species are not known to occur. All nettles were tested negative by nested PCR. In general, transmission trials were carried out with 10 to 50 insects per experiment. In case of R. panzeri, however, catches were low, so only two experiments, one with eight and one with four specimens were conducted. The insects were transferred to single test plants, covered by cylindrical cages (diameter 9 cm, height 25 cm) and kept in a growth chamber at 23 °C under long day (L16:D8) conditions (Riedle-Bauer et al. 2008 ). 6–16 weeks later the test plants were inspected visually and sampled for PCR analysis.
DNA extraction from plants and insects was carried out as published earlier (Maixner et al. 1995 , Langer and Maixner, 2004 ). Insects from all locations listed in Table 1 except Blumenthal, Einöd/Kitzeck 1, Langenlois and Thürnthal were examined. For analysis of V. vinifera, Catharanthus roseus, and Convolvulus arvensis leaf samples were processed. In case of U. dioica both leaves and roots were extracted separately. Presence of ‘Ca. P. solani’ was surveyed by nested PCR procedures with primers P1/P7 (Deng and Hiruki 1991 ) and STOLF/STOLR (Maixner et al. 1995 ), with fTUF1/rTUF1 and fTUFAY/rTUFAY (tuf; Schneider et al. 1997 (link)) as well as with POSecR1/POSecF1 and POSecF3/POSecR3 (secY; Fialová et al., 2009 ). TUFAY fragments were further investigated by RFLP as proposed by Langer and Maixner (2004) . POSec3 amplicons were analysed by RFLP with Hinf1 (New England Biolabs, Ipswich, USA) according to the manufacturer’s instructions. Hinf1 restriction products were separated by electrophoresis on 4.5 % (w/v) polyacrylamide gels, stained with ethidium bromide and visualized on a UV transilluminator. For sequence analysis, phytoplasma DNA was amplified directly as previously described with the primer pairs Stamp fw-0 and rv-0 (Fabre et al., 2011A (link)), fTUFAY and rTUFAY, POSecF3 and POSecR3, TYPH10F and TYPH10R (vmp1, Fialová et al., 2009 ), and for 16S with 5-CTAATACATGCAAGTCGAACG-3 (R16mF2m) and 5- TGACGGGCGGTGTGTACAAACC-3 (R16R2m) for 40 cycles, 30′ 94C, 45′ 58 °C and 90′ at 72 °C with 10 min final extension (modified from Lee et al., 1998 ). The PCR products were sequenced using the primers PosecR3, Stamp fw-0, TYPH10F, TYPH10R, fTUFAY, rTUFAY or R16R2m. Sequences were deposited in NCBI under the accession numbers shown in Figs. 5 and 6: KJ469710 (tuf bindweed yellows) and KJ469736 (16 s bindweed yellows). Sequences were analysed in BioEdit (Hall, 1999 ), aligned with ClustalW2 (UPGMA Clustering). Trees and the phylogenetic relationships were constructed with MP and Maximum Likelihood (ML) with PHYML (Guindon and Gascuel, 2003 ) on the T-rex software platform (Boc et al. 2012 (link)). ML was performed with the HKY85 substitution model without gamma distribution and branch support with 2000 bootstrap replicates.
Publication 2014
Catharanthus roseus Convolvulus Electrophoresis Ethidium Bromide Figs Gamma Rays Insecta Nested Polymerase Chain Reaction Oligonucleotide Primers Phytoplasma Plant Embryos Plant Roots Plants Plant Weeds polyacrylamide gels Restriction Fragment Length Polymorphism Sequence Analysis Transmission, Communicable Disease Trees Urtica dioica Vacuum Vitis
For each full-factorial experiment, the top 8 in of earth were collected with a shovel and transported to the lab in closed plastic containers at room temperature from two collection sites. The first collection site, Mason Farm, is managed by the North Carolina Botanical Garden and is free of pesticide use and heavy human traffic and is located in Chapel Hill, North Carolina, USA (+35° 53′ 30.40″, −79° 1′ 5.37″). The second collection site is the Central Crops Research Station in Clayton, North Carolina, USA (135° 39′ 59.22″, −78° 29′ 35.69″) and is also free of pesticide use. Visible weeds, twigs, worms, insects and so on were removed with gloves, and the soil was then crushed with an aluminium mallet to a fine consistency and sifted through a sterile 2-mm sieve. Because sieved soil from Mason Farm drained poorly and test plants grown in it suffered from hypoxia, we adopted the practice of mixing sterile (autoclaved) playground sand into both Mason Farm (MF) and Clayton (CL) soils at a soil:sand ratio of 2:1. Soil micronutrient analysis was performed on pure and 2:1 mixed soils by the University of Wisconsin soil testing labs.
Publication 2012
Aluminum Crop, Avian Helminthiasis Homo sapiens Hypoxia Insecta Pesticides Plants Plant Weeds Sterility, Reproductive Trace Elements
A framework of the genetic linkage map had been previously constructed using an F2 population that was derived from a cross between the cultivar Misuzudaizu and a weedy form, Moshidou Gong 503, as ovule and pollen parents, respectively. This mapping population consisting of 190 F2 plants was used in the present study.27 ,28 (link) However, the DNA was newly extracted for the present study from the leaves that had been preserved at −80°C, using the CTAB method32 (link) with a slight modification.
Publication 2007
Cetrimonium Bromide Linkage, Genetic Ovule Parent Plants Plant Weeds Pollen
The “Domari”, “Imari”, and “Myrna” are curly-leafed endives (C. endivia var. crispum); “Confiance” and “Flester” are smooth/broad-leafed types (C. endivia var. latifolium). The Enza Zaden company (www.enzazaden.com) owns these patented cultivars (www.cpvo.europa.eu) and provided seed lots.
Fields were located in Tarquinia, Lazio, Italy (42°15′N 11°44′E, 31 m a.s.l.); soil characteristics and cultivation parameters were previously reported25 (link). In this work, plants were shown in nursery (3 dm2/well) at the end of August 2012; 3-week-old seedlings were moved into open field (8.2 plants/m2) and harvest occurred on the second half of November. The average temperature was of 18.4 ± 3.3 °C (www.idrografico.roma.it/annali). Details on agro-techniques (basal dressing, fertirrigation, protection vs weeds, thrips, moths and powdery mildew) are available upon request.
Harvested heads (n = 9 per cultivar) were brought to laboratories and weighted (Fig. 1 and Table S1); the external leaves were removed from the rosette and the following leaves were sampled (because assumed as representative of freshly consumed or fresh-cut products). More precisely, 10 leaves were excised from each plant (n = 3) of the same cultivar and pooled to form a replicate batch (RB) of 30 leaves; these had comparable weights among the cultivars, though significant differences for length and surface were scored (Fig. 1 and Table S1). Three RB were rapidly generated (biological triplicates) and frozen in liquid nitrogen, gently crunched by hands and stored at −80 °C. The content of each RB was either used for RNA isolation in transcriptional and allelic variation analyses or further lyophilized at −50 °C for 72 h (lab freeze dryer with stoppering tray dryer, FreeZone®; Labconco Corp., Kansas City, MO, USA) and stored at −20 °C for STL quantification.Phenotypes of endives at harvesting.

Heads and respective leaf types used in the study of curled- and smooth-leafed cultivars (left and right columns). Bar size of leaf panel = 1 cm. Other morphometric parameters are listed in Table S1

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Publication 2019
Alleles Biopharmaceuticals DNA Replication Freezing Gypsies Head isolation Lepidoptera Nitrogen Plant Leaves Plants Plant Weeds Powder Seedlings Thysanoptera Transcription, Genetic

Most recents protocols related to «Plant Weeds»

A three-factor randomized block design was used in this experiment. Each treatment had a plot dimension of 22.99 m2 (6.13 m×3.75 m), with three replicates for each treatment. The tested rice cultivars, T-43 (V1, a drought-resistant high-yield variety) and Liangxiang-3 (V2, a drought-sensitive variety), are frequently planted in Xinjiang. The seeds of T-43 and Liangxiang-3 were provided by the Institute of Agricultural Science, Tianye Company (Xinjiang, China). The tested rice cultivars were cultivated with two water treatments (W1, limited drip irrigation at 10,200 m3·hm-2, which was 85% of the current drip irrigation rate commonly used in rice production in Xinjiang based on preliminary experimental results and W2, deficit drip irrigation at 8670 m3·hm-2, which was 85% of the drip irrigation rate used in W1 during the entire growth period) and three nitrogen fertilization modes with the same total nitrogen application amounts (pure N: 300 kg·hm-2) and different ratios of seedling fertilizer:tillering fertilizer:panicle fertilizer:grain fertilizer (N1: 30%:50%:13%:7%; N2: 20%:40%:30%:10%; and N3: 10%:30%:40%:20%) (see Table 1 for details). P2O5 and K2O fertilizer were applied with water, and the application rates were 150 kg·hm-2 and 135 kg·hm-2, respectively. Fifty percent of the applied P2O5 and K2O was used as seedling fertilizer, and the other 50% was used as panicle fertilizer. Urea (N, 46%) and potassium dihydrogen phosphate (P2O5, 52.1%; K2O, 34.6%) were used as the nitrogen fertilizer and the P2O5 and K2O fertilizer, respectively.
The experiment used a planting pattern of one film, two tubes, and eight rows. The sowing width was 1.65 m, the plant spacing was 10 cm, and the row spacing was 10 cm + 26 cm + 10 cm + 26 cm + 10 cm + 47 cm, as shown in Figure 2. The drip irrigation tape placement, plastic film mulching, spot seeding, and covering of the seeds with soil were all completed at one time. During the growth period, precision management was performed to control pests and weeds in a timely manner. The seeds were sown on May 1, 2020, and May 4, 2021. After being sown, the seeds were drip irrigated with water, and the seedlings were released from the plastic film after emergence. A total of 6 to 8 seedlings were preserved in each planting hole, and the rice plants were harvested on September 30 in both years. The irrigation frequency was once every 3 days before and once every 2 days after jointing, and irrigation was stopped until 15 days before maturity. The drip irrigation tape used in this study was single-wing labyrinth drip irrigation tape produced by Xinjiang Tianye Co., Ltd. (Xinjiang, China) with an emitter spacing of 30 cm and a flow rate of 1.8 L·h-1. The plots were spaced 1 m apart to prevent lateral water seepage between plots. A water meter (measurement accuracy, 0.001 m3) was used to measure the amount of irrigation water applied through the drip irrigation system. Other field management measures were performed using drip irrigation methods commonly used under plastic film mulching in high-yielding rice fields.
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Publication 2023
Cereals Droughts Fertilization Labyrinth Nitrogen Oryza sativa phosphoric anhydride Plague Plant Embryos Plant Weeds potassium phosphate, monobasic Seedlings Urea
In 2016, initial crosses were carried out by bagging inflorescences of switchgrass ramets in a greenhouse. The majority of crosses occurred between a diverse group of southern genotypes (n = 57) from lowland populations and two lowland genotypes that showed strong winter survivorship as multiple clonal replicates over 6 winters near Arlington, WI. There were also a limited number of crosses between southern genotypes which had not been evaluated for winter survivorship. The winter tolerant genotypes are referred to as Tolerant 1 and Tolerant 2, and they originated from an unknown population originally collected in North Carolina, South Carolina or northern Florida (Timothy DH, personal communication). Collectively, the individuals used for initial crosses will be referred to as Founders. Crosses resulted in 2,058 individuals unevenly distributed across 29 unique F1 families. The number of individuals per family was the result of variable seed quantity and viability. During the following year, a set of pseudo-F2 families were generated by crossing randomly selected siblings within F1 families. This resulted in 1,039 pseudo-F2 individuals unevenly distributed among 20 full-sib pseudo-F2 families. Some pseudo-F2 families were generated from pairs of siblings within an F1 family, so only 10 F1 families were represented in the pseudo-F2 families.
Among controlled greenhouse crosses, the success rate for initial crosses among Founder individuals was 71%, with success defined as resulting in at least one progeny seedling from a parent (mean 36 seedlings per successful cross). Within F1 sibling matings, used to generate pseudo-F2 families, the success rate was 20%, but with a mean of 74 seedlings generated per successful cross parent.
All Founder individuals and F1 parents of pseudo-F2 families were maintained in a greenhouse and divided into vegetative replicates by dividing crowns. In July 2018, a completely randomized spaced plant nursery was planted with 195 genotypes. The spaced plants were genotypes maintained in 12-plant rows with 0.7 m between and 0.7 m within rows. Weeds were controlled between individuals genotype crowns using roto-tilling and occasional hand weeding. The nursery contained a minimum of two vegetative replicates per individual. In 2019, vegetative replicates reserved from Founder individuals and F1 parents of pseudo-F2 families were used to replace individuals that were lost to winterkill in the spaced plant nursery during the first winter.
In addition, an unreplicated, stratified by genotype spaced row nursery (unique genotypes planted with 0.7 m between rows and 0.3 m within rows) was established of the F1 families and pseudo-F2 families in the spring of 2018. Each row contained 10 unique genotypes. In the summer of 2018, heavy rain and standing water in sections of the nursery and resulted in uneven and poor plant vigor. To account for establishment damage that was unrelated to winter survival, fall vigor ratings were made on a scale of 0 to 5 during September in 2018 and 2019. Fall vigor was then used as a covariate for the subsequent spring vigor scores. A fall vigor score of 5 indicated a healthy switchgrass plant and zero indicated a deceased plant.
Winter survivorship scores and heading date was measured for each individual in both nurseries during 2019, 2020, and 2021 (spring vigor only). Spring vigor was recorded using a scale from 0–20, with 20 indicating no visible damage and 0 indicating mortality. Heading date was recorded as the date in which panicles were observed on at least 50% of an individual's tillers.
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Publication 2023
Clone Cells Crowns Genotype Inflorescence Panicum virgatum Parent Plants Plant Weeds Rain Seedlings
In May 2017, three plants per species and plot (if possible) were selected and plant height (cm) was measured as the stretched length of three vegetative shoots per individual. First, the heights of the three shoots per individual were averaged and then the mean values of the three individuals per plot. After that, bulk samples of 10–15 fully developed leaves were collected from the same individuals and shoots (one to three leaves per shoot). Leaves were stored in sealed plastic bags in a cooling box for transport to the laboratory, where leaf area (mm2leaf) was measured with a leaf area meter (LI‐3000C Area Meter equipped with LI3050C transparent belt conveyor accessory; LI‐COR). Then, leaf samples were dried for 48 h at 70°C, weighed, and specific leaf area (SLA; mm2leaf mg−1dw) was calculated as the ratio between total leaf area and total leaf mass per plot and species. Dry leaf samples were ground to a fine powder with a mixer mill (MM2000, Retsch). Approximately 10 mg of the milled material was then used to determine leaf nitrogen concentration (mg N g−1leaf) with an elemental analyzer (Vario EL cube, Elementar Analysensysteme GmbH). Leaf phosphorus (mg P g−1leaf) and leaf potassium concentration (mg K g−1leaf) were measured using an inductively‐coupled plasma optical emission spectrometer (Thermo Scientific™ iCAP™ 7400 ICP‐OES Duo). Therefore, milled leaf samples (250 mg) were first treated in a Mars 6 microwave closed system (CEM GmbH) for acid digestion (with 5 mL of HNO3 and 0.5 mL of H2O2) and then the diluted acid extracts were analyzed with the ICP‐OES to measure P and K.
For the determination of root colonization by arbuscular mycorrhizal fungi (AMF), we collected roots of the selected plant individuals by taking soil cores (10 cm depth, 5 cm diameter), which contained the root crown and attached roots of the plants. Soil was roughly removed and roots per plot and species were stored in plastic bags. In the laboratory, roots were cleaned by rinsing off the remaining soil with tap water, and then the material was stored in 70% ethanol until further processing. For the determination of AMF colonization, roots were first rinsed with tap water to remove ethanol, and then, a subsample of ~20 g of finer roots was purified by heating in 10% potassium hydroxide solution at 80°C for 30–90 min (heating times varied depending on plant species). After this, roots were heated for 5 min at 80°C in an ink–vinegar solution (5% black ink: Parker S0037460 Quink Black; 95% vinegar: white household vinegar, 5% acetic acid) to stain AMF following Vierheilig et al. (1998 (link)). After staining, roots were rinsed several times with and stored in a water‐vinegar mixture to remove excess stain. Finally, AMF colonization was scored under the microscope (200x magnification) using the line‐intersect method for 100 intersects (McGonigle et al., 1990 (link)).
For the determination of community‐level root traits, we took two soil cores (10 cm depth, 5 cm diameter) per plot in June 2017 in the inner center, i.e., with a distance of at least 30 cm from the plot edge. Soil cores were pooled per plot and stored in a freezer until further analysis (−20°C). Later, soil cores were defrosted, and roots were cleaned with tap water. Then, root samples per plot were scanned with a flatbed scanner at 800 dpi (Epson Expression 10000 XL scanner, Regent Instruments), and root length was measured with an image analysis software (WinRHIZO; Regent Instruments), followed by drying (at 70°C for 48 h) and weighing. Specific root length (SRL) was calculated as the ratio between root length and root dry mass (mroot groot−1), and root length density (RLD) as the ratio of root length to volume of the soil cores (cmroot cmsoil−3).
Aboveground biomass was harvested block‐wise on each plot from 29 May to 5 June 2017. A sample area of 0.2 × 0.5 m was chosen in the inner center of the plots, and plants were cut 3 cm above ground. Biomass samples were sorted to sown plant species, weeds, and dead plant material, dried at 70°C for 48 h, and weighed. Total aboveground biomass of the sown plant species per plot was extrapolated to one square meter (g m−2) as a measure of community biomass production.
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Publication 2023
Acetic Acids Acids Cardiac Arrest Dietary Fiber Digestion Endomycorrhizae Ethanol Fungi Households Microscopy Microwaves Nitrogen Peroxide, Hydrogen Phosphorus Plant Leaves Plant Roots Plants Plant Weeds Plasma Potassium potassium hydroxide Powder Stains Vinegar Vision
During sampling, wetlands within the same hydrological region drained by the same river were assumed to be harboring the same species of Azolla and were thus partially scanned. Because Azolla is an aquatic plant, purposive sampling was done mainly from wetlands of different agro-ecological zones to obtain representative samples for a particular area. Majority of the sites where Azolla was collected were characterized by water-logged clay soils with papyrus as the dominant vegetation forming a swampy environment. Other places included ponds that had been abandoned after bricklaying, while others were plantations in wetlands as well as some shore zones of weedy channels that allow limited water flow. Azolla was collected during the rainy season in the months of November 2019, January, March, August, and November 2020. The sites where Azolla was collected ranged between 680 and 1308 m above sea level although there were still other sites within the same altitude where Azolla was not found.
Azolla specimens were initially identified by a senior taxonomist Mr. Rwabulindooli from the Makerere University herbarium. After confirming that the material sampled was Azolla, massive sample collection commenced. The collected Azolla samples were packed in well labelled 50 ml falcon tubes and transferred into a cold box maintained at 4 °C. These were then transported to the Molecular diagnostic laboratory in the Department of Plant Sciences, Microbiology, and Biotechnology at Makerere University. From the same spot where Azolla was collected, a corresponding water sample was collected into a well labelled water sample bottle, transferred into a cold box to the Geochemistry laboratory at Makerere University for mineral nutrient analysis.
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Publication 2023
Clay Cold Temperature Minerals Molecular Diagnostics Nutrients Plants Plant Weeds Rain Rivers Specimen Collection Wetlands
The weeding test is used to assess spatial memory and is inspired by the CBTT, which determines memory breadth. Specifically, the weeding test is divided into two main sessions, a forward and a backward session. The test uses simulation teaching to help beginners better understand the rules and methods of the test. The American psychologist, George A. Miller, proposed that the maximum capacity of short-term memory lies between 5 and 9 items (Manoochehri, 2021 (link)). Based on this hypothesis, the longest span of the weeding game was set to nine in this study. Specifically, a background image of nine sections of grass in the form of squares with weeds growing on them appeared on the screen. The system automatically demonstrated the square jumping, with the jumping interval set to 1 s. After the demonstration, the participants were instructed to reproduce the sequence in the same or reverse order. When participants clicked correctly, the weed on the square automatically disappeared. However, when the participants clicked incorrectly, the weed exhibited an “×” (Figure 3).
The system randomly generated squares to jump, with the number of squares starting at two. Subsequently, the weeding sequence to be memorized gradually increased as the difficulty of the test increased. The sequence length increased progressively; namely, each sequence had two levels, and the game automatically proceeded to the next level when one of the two levels was passed. The game automatically stopped when two sequences of the same level failed or the maximum click limit sequence set by the game was reached. The system automatically registered the dependent variables of the longest series (span) recalled, the total number of blocks clicked, and the total time for the correct item in the forward and backward directions. The weeding test collected two metrics, namely, the longest correct series (span) and the clicking speed (total blocks/total time). Specifically, the longer and faster the longest correct series (span), the better the spatial memory.
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Publication 2023
Memory Memory, Short-Term Plant Weeds Poaceae Psychologist Spatial Memory

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More about "Plant Weeds"

Unwanted Plants, Problematic Species, Invasive Weeds, Noxious Weeds, Crop Pests, Vegetation Management, Weed Ecology, Weed Biology, Weed Control Strategies, Agricultural Productivity, Ecosystem Health, Sustainable Farming, Field Surveys, Greenhouse Studies, Genetic Analysis, Life Cycle Characterization, DNeasy Plant Mini Kit, ENGENIA®, HiSeq 2000 Sequencing, SAS 9.4, WinRHIZO, SPSS, EOS Rebel T5i, LI-6400, ABI 3130 DNA Analyzer, OriginPro 9.0.
Plant weeds are undesirable plants that flourish in both cultivated and uncultivated areas, often competing with intended plants for critical resources like water, nutrients, and sunlight.
These problematic species can have a detrimental impact on crop yields, livestock grazing, and the overall health of an ecosystem.
Weed research aims to understand the biology, ecology, and management of these unwanted plants, with the ultimate goal of developing effective control strategies.
Researchers in this field employ a variety of techniques, including field surveys, greenhouse studies, and genetic analyses, to identify and characterize weed species, understand their life cycles, and devise innovative weed management solutions.
By optimizing the research process and improving reproducibility, plant weed researchers can enhance the efficiency and impact of their work, ultimately contributing to more sustainable and productive agricultural practices.
Tools like the DNeasy Plant Mini Kit, ENGENIA®, HiSeq 2000 Sequencing, SAS 9.4, WinRHIZO, SPSS, EOS Rebel T5i, LI-6400, ABI 3130 DNA Analyzer, and OriginPro 9.0 can be utilized to support various aspects of plant weed research, from genetic analysis and data visualization to field measurements and statistical modeling.