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302 results for “cotton”
Figure 4 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 4. Surface maps constructed based on Inverse Distance Weight (IDW) interpolation showing spatial distribution of nymphs + adults in cotton between 55 (A) 70 (B), 77 (C), 84 (D), 91 (E) days after emergence (DAE) and Sum of all Evaluations (F). Low density is represented in green while red indicates high density of E. meditabunda.
Figure 3 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 3. Surface maps constructed based on Inverse Distance Weight (IDW) interpolation showing spatial distribution of adults in cotton between 55 (A) 70 (B), 77 (C), 84 (D), 91 (E) days after emergence (DAE) and Sum of all Evaluations (F). Low density is represented in green while red indicates high density of E. meditabunda.
Figure 1 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 1 Temporal variation of Edessa meditabunda population in the alternative host plant Gossypium hirsutum (cotton) in experimental Field of Dourados, Brazil.
Figure 6 in Determining some biological parameters of Aenasius arizonensis (Girault) (Hymenoptera: Encyrtidae) on cotton mealybug and the rate of parasitism in field conditions
Figure 6. Parasitism rate of Aenasius arizonensis with Daily mean temperature and mean R.H.in 2018 for Balcalı /Adana.
Figure 4 in Determining some biological parameters of Aenasius arizonensis (Girault) (Hymenoptera: Encyrtidae) on cotton mealybug and the rate of parasitism in field conditions
Figure 4. Age-specific survival rate (l), age-specific fecundity (m), and age-specific maternity (lxm) of X x x Aenasius arizonensis.
Weekly mean parasitism rate (%) Daily mean Temperature (°C) Daily Mean R.H. (%) Figure 7. Parasitism rate of Aenasius arizonensis with Daily mean temperature and mean R.H.in 2018 for Tömük / Mersin. in Determining some biological parameters of Aenasius arizonensis (Girault) (Hymenoptera: Encyrtidae) on cotton mealybug and the rate of parasitism in field conditions
Weekly mean parasitism rate (%) Daily mean Temperature (°C) Daily Mean R.H. (%) Figure 7. Parasitism rate of Aenasius arizonensis with Daily mean temperature and mean R.H.in 2018 for Tömük / Mersin.
Figure 1. a in Determining some biological parameters of Aenasius arizonensis (Girault) (Hymenoptera: Encyrtidae) on cotton mealybug and the rate of parasitism in field conditions
Figure 1. a) Parasitized Phenacoccus solenopsis individuals on cotton leaves (Adult female), b) Phenacoccus solenopsis individuals on cotton during laboratory studies (adult female).
Figure 3 in Determining some biological parameters of Aenasius arizonensis (Girault) (Hymenoptera: Encyrtidae) on cotton mealybug and the rate of parasitism in field conditions
Figure 3. The longevity of immature and mature stages of A.arizonensis.Y axis represents age-stage specific survival rate (S xj), X axis indicates the age of parasitoid.
Fig. 2. The 2019 in Wild bee pollinators foraging in peanut and cotton adjacent to native wildflower strips
Fig. 2. The 2019 mean (± SE) of bees per bee bowl captured in cotton and those with cotton pollen and unidentified pollen (= other) (a), and the mean (± SE) of bees per bee bowl captured in cotton with G. pulchella (IB), Monarda citriodora (mint), and Rudbeckia hirta (susan) (b).
Fig. 1. The 2018 in Wild bee pollinators foraging in peanut and cotton adjacent to native wildflower strips
Fig. 1. The 2018 mean (± SE) of bees per bee bowl captured in peanut and those with peanut pollen (a), and the mean (± SE) of bees per bee bowl captured in peanut with Gaillardia pulchella (IB), and both G. pulchella and peanut pollen (b).
Fig. 2 in Bugs carry pollen too: pollination efficiency of plant bug Pseudatomoscelis seriatus (Hemiptera: Miridae) visiting cotton flowers
Fig. 2. Pollination of cotton, Gossypium hirsutum, by cotton fleahopper, Pseudatomoscelis seriatus: (A) number of seeds per fruit among pollination treatments; (B) seed mass per fruit among pollination treatments; (C) lint weight per fruit among pollination treatments. Bars represent treatment means and error bars represent ± standard error of the mean. Treatment means listed with the same letter are not significantly different (P> 0.05).
Fig. 1 in Bugs carry pollen too: pollination efficiency of plant bug Pseudatomoscelis seriatus (Hemiptera: Miridae) visiting cotton flowers
Fig. 1. Photographs of a cotton fleahopper, Pseudatomoscelis seriatus, taken under a dissecting microscope (A) foraging on a cotton, Gossypium hirsutum, stigma, and (B) carrying cotton pollen grains.
Fig. 1 in Distribution of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) mitotypes in commercial cotton fields in the Punjab province of Pakistan
Fig. 1. Map of the Punjab Province in Pakistan showing the locations of whitefly sample collections, and distribution of the Asia II-1 mitotype of Bemisia tabaci, represented by the star symbol.
Fig. 4 in Distribution of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) mitotypes in commercial cotton fields in the Punjab province of Pakistan
Fig. 4. Median-joining network analysis of Asia II-1 sequences (= 0). Yellow circles indicate Bemisia tabaci haplotypes, and the size of the circle reflects relative abundance. The black lines indicate the extents of relatedness between haplotypes, and the red numbers placed on each line indicate the number of mutations.
Fig. 3 in Distribution of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) mitotypes in commercial cotton fields in the Punjab province of Pakistan
Fig. 3. Corrected pairwise distances and number of haplotypes within Asia II-1 sequences per district. The error bars indicate the extent of the standard error.
Fig. 2 in Distribution of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) mitotypes in commercial cotton fields in the Punjab province of Pakistan
Fig. 2. Phylogenetic tree showing the relationship among members of the Bemisia tabaci complex found in Asia, based on the 3′-mitochondria cytochrome oxidase I gene (mtCOI-3′). All whiteflies collected for this study during 2014 to 2016, were identified as the Asia II-1 mitotype. The sequence of the Bemisia afer species was used as 'outgroup' to root the tree. The sequences in the upper-most collapsed clade clustered all of the sequences obtained in this study.
Cotton root cross-sections under water deficit
<p>This experiment is describing the analysis of the root cross-sections. The roots were collected in the lab of Prof. Avat Shekoofa (Uni. of Tennessee), and the root samples were sent to Julkowska lab (BTI). Magda did hand cross-sections and stained them with toluidine blue to visualize the xylem vessels. The individual images were stitched into an ortho-mosaic using Photoshop.</p>
Cotton data for the Indian states of Andhra Pradesh, Gujarat, Karnataka, Maharashtra, and Madhya Pradesh for years 1999-2014
<p>Dataset cited by Gutierrez et al. (2023) and based on 1999-2014 statewide Indian Ministry of Agriculture data (NIC 2022) from Andhra Pradesh, Gujarat, Karnataka, Maharashtra, and Madhya Pradesh in central and southern India where most cotton is rainfed. This dataset is used by Gutierrez et al. (2023) to show that average yields increased with kg fertilizer ha<sup>−1</sup>, percent of irrigated land, and average June-December monsoon rainfall, and that though not significant, yields decreased with kg insecticide ha<sup>−1</sup> (Gutierrez et al. 2020). Furthermore, adjusted farmer suicides corrected for area of cotton cultivation across the states were negatively correlated with yield and net revenues (Gutierrez et al. 2020).</p> <p>The dataset is provided as an XLSX worksheet.</p> <p>References:</p> <p>Gutierrez AP, Ponti L, Kranthi KR, et al (2020) Bio-economics of Indian hybrid Bt cotton and farmer suicides. Environmental Sciences Europe 32:139. https://doi.org/10.1186/s12302-020-00406-6</p> <p>NIC National Informatics Centre, Government of India (2022) Open Government Data (OGD) Platform India: Agriculture. https://data.gov.in/sector/Agriculture. Accessed 7 Nov 2022</p> <div> <div>Gutierrez, A. P., Kenmore, P. E., & Ponti, L. (2023). Hybrid Bt cotton is failing in India: cautions for Africa. <em>Environmental Sciences Europe</em>, <em>35</em>(1), 93. <a href="https://doi.org/10.1186/s12302-023-00804-6">https://doi.org/10.1186/s12302-023-00804-6</a></div> </div> <p> </p>
Cotton Strip Decomposition - Tensile Strength on Hog Island, VA 1991
Data represent tensile strength loss in cotton strip fibers over these time periods across teh Hog Island Chronosequence. This is an assay for decomposition rates that controls for substrate quality. The assay was also conducted in plots fertilized with nitrogen.
Effects of soil salinity on the expression of direct and indirect defences in wild cotton (Gossypium hirsutum)
<p>Previous studies have reported effects of abiotic factors on herbivore-induced plant defences based on effects on single plant traits. However, plants commonly express multiple defences simultaneously and these traits are often correlated. Thus, a fuller understanding of abiotic-context dependency in plant defence requires measuring multiple traits and addressing their patterns of correlated expression.</p> <p>We evaluated the effects of soil salinity on the induction of direct (phenolic compounds, gossypol gland density) and indirect (volatile organic compounds, extrafloral nectar) defensive traits in wild cotton (Gossypium hirsutum). We asked whether soil salinity affects the induction of these traits, and whether it shapes trait correlations potentially underlying salinity effects on trait induction. We conducted a factorial experiment with 16 cotton genotypes where we manipulated soil salinity and defence induction by applying artificial leaf damage (25% mechanical damage and caterpillar oral secretions) and measured defence levels at different time points post-damage.</p> <p>Leaf damage induced most traits except gossypol gland density, whereas salinity did not have a mean effect (across constitutive and induced levels) on any of the measured traits. Nonetheless, salinity prevented the induction of phenolic compounds (condensed and hydrolysable tannins), and also affected trait correlations. Specifically, phenolic compounds were negatively associated with nectar production only under salinized conditions, an apparent trade-off that presumably affects the induced levels of phenolic compounds. In addition, positive correlations between phenolic compounds and gland density and root biomass observed under control conditions were lost under salinized conditions.</p> <p>By investigating the effects of soil salinity on the expression of multiple direct and indirect defensive traits and their underlying correlations, these findings build toward a better understanding of how abiotic context-dependency shapes plant allocation to and expression of multiple defensive traits.</p>
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OpenNeuro
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