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302 results for “cotton”
Genome and annotations of cotton rat (Sigmodon hispidus)
<p>The chromosome level reference genome of <em>Sigmodon hispidus</em> based on third-generation high fidelity (HiFi) reads, high-throughput chromosome conformation capture (Hi-C), and second-generation sequencing techniques.</p>
Dataset of cotton phenology images
<p>The dataset contains labels about the the phenological stages of cotton at the parcel level, generated by in-situ inspections in the region of Orchomenos, Greece, during the cotton cultivation period of 2021 (May-October). We collected 1,285 crop growth ground<br> observations. We introduce a new collection protocol, assigning up to two phenology labels that represent the primary and secondary growth stage in the field and thus indicate when stages are transitioning. More information about the annotation procedure can be found in the relevant publication "<a href="https://arxiv.org/abs/2211.14099">Fuzzy clustering for the within-season estimation of cotton phenology</a>". </p> <p>Along with the annotations we are publishing a unique dataset of 3,142 images. Each image is named in the following format:</p> <p> {date}_{id}-{type}.jpg, where "<strong>date"</strong> is in the format {year}{month}{day} and refer to the exact date the image was captured, "<strong>id</strong><em><strong>"</strong></em> is the unique id of a parcel and "<strong>type</strong>" is one of "O", "A" or "B". "O" refers to a panoramic photo of the entire field, "A" to a photo that is representative of the majority of the plants in the field and "B" to one representative of a minority of plants in the field. For each date and each unique parcel the first two exists always while the latter close-up photo had be captured only when the percentage of the minority class, in terms of area, was deemed significant. </p> <p>If you use this dataset, please cite our <a href="https://arxiv.org/abs/2211.14099">paper</a>:</p> <blockquote> <pre>@article{sitokonstantinou2022fuzzy, title={Fuzzy clustering for the within-season estimation of cotton phenology}, author={Sitokonstantinou, Vasileios and Koukos, Alkiviadis and Tsoumas, Ilias and Bartsotas, Nikolaos S and Kontoes, Charalampos and Karathanassi, Vassilia}, journal={PLOS ONE}, year={2023}, doi={10.1371/journal.pone.0282364} }</pre> </blockquote>
FIGURE 7 in Hodgson, C. et al. (2008) Phenacoccus solenopsis Tinsley (Sternorrhyncha: Coccoidea: Pseudococci- dae), an invasive mealybug damaging cotton in Pakistan and India, with a discussion on seasonal morphological variation. Zootaxa, 1913, 1-35.
FIGURE 7. First-instar nymph of Phenacoccus solenopsis Tinsley from Pakistan and India. Labels as in Fig. 1.
F I G U R E 2 in Is 'pupae busting' or destroying overwintering pupae of Helicoverpa spp. (Lepidoptera: Noctuidae) still relevant today in Australian Bt cotton?
F I G U R E 2 Cultivators that have been used in pupae busting and are reported in Table 1 and described in Table 2.
F I G U R E 1 in Is 'pupae busting' or destroying overwintering pupae of Helicoverpa spp. (Lepidoptera: Noctuidae) still relevant today in Australian Bt cotton?
F I G U R E 1 Current cotton-growing regions of Australia (adapted from information on the Cotton Australia website: www.cottonaustralia.com.au). Helicoverpa in the Murray/Darling basin valleys (blue) will undergo diapause, while those in the north (sandy brown regions) will not. Clear sites in the north are emerging cotton-growing regions.
Figure 6 in Evaluation of Meloidogyne incognita and Rotylenchulus reniformis nematode-resistant cotton cultivars with supplemental Corteva Agriscience nematicides
Figure 6: Field trial R. reniformis eggs per gram of root collected from four root systems. LS means for PHY 332 W3FE (R) and PHY 340 W3FE (S) cotton and nematicide combination at 40 DAP in 2021. P-value for Type III fixed effects for the Variety x Nematicide interaction was 0.0441. Nematicide treatments included no-nematicide control, Reklemel (0.28 L/ha) + Vydate C-LV (1.24 L/ha), C-LV (0.28 +1.24 L/ha), Reklemel (0.56 L/ha) + Vydate C-LV (2.5 L/ha), Reklemel (1.13 L/ha) + Vydate C-LV (5.0 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), BIOST Nematicide 100, Reklemel (0.28 L/ha) + Vydate C-LV (1.24 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), Reklemel (0.56 L/ha) + Vydate C-LV (2.5 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), Reklemel (1.13 L/ha) + Vydate C-LV (5.0 L/ha).
Figure 1 in Evaluation of Meloidogyne incognita and Rotylenchulus reniformis nematode-resistant cotton cultivars with supplemental Corteva Agriscience nematicides
Figure 1: M. incognita PHY 340 W3FE susceptible variety on the left and the resistant PHY 360 W3FE on the right at 106 DAP.
Figure 5 in Evaluation of Meloidogyne incognita and Rotylenchulus reniformis nematode-resistant cotton cultivars with supplemental Corteva Agriscience nematicides
Figure 5: Field trial R. reniformis eggs per gram of root collected from four root systems LS means for PHY 332 W3FE (R) and PHY 340 W3FE (S) cotton and nematicide combination at 40 DAP in 2020. P-value for Type III fixed effects for the Variety x Nematicide interaction was 0.0178. Nematicide treatments included no-nematicide control, Reklemel (0.28 L/ha) + Vydate C-LV (1.24 L/ha), C-LV (0.28 +1.24 L/ha), Reklemel (0.56 L/ha) + Vydate C-LV (2.5 L/ha), Reklemel (1.13 L/ha) + Vydate C-LV (5.0 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), BIOST Nematicide 100, Reklemel (0.28 L/ha) + Vydate C-LV (1.24 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), Reklemel (0.56 L/ha) + Vydate C-LV (2.5 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), Reklemel (1.13 L/ha) + Vydate C-LV (5.0 L/ha).
Figure 2 in Evaluation of Meloidogyne incognita and Rotylenchulus reniformis nematode-resistant cotton cultivars with supplemental Corteva Agriscience nematicides
Figure 2: Field trial M. incognita eggs per gram of root collected from four root systems LS means for PHY 360 W3FE (R) and PHY 340 W3FE (S) cotton and nematicide combination at 40 DAP in 2020. P-value for Type III fixed effects for the Variety x Nematicide interaction was 0.0368. Nematicide treatments included no-nematicide control, Reklemel (0.28 L/ha) + Vydate C-LV (1.24 L/ha), C-LV (0.28 +1.24 L/ha), Reklemel (0.56 L/ha) + Vydate C-LV (2.5 L/ha), Reklemel (1.13 L/ha) + Vydate C-LV (5.0 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), BIOST Nematicide 100, Reklemel (0.28 L/ha) + Vydate C-LV (1.24 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), Reklemel (0.56 L/ha) + Vydate C-LV (2.5 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), Reklemel (1.13 L/ha) + Vydate C-LV (5.0 L/ha).
Figure 3 in Evaluation of Meloidogyne incognita and Rotylenchulus reniformis nematode-resistant cotton cultivars with supplemental Corteva Agriscience nematicides
Figure 3: Field trial M. incognita eggs per gram of root collected from four root systems LS means for PHY 360 W3FE (R) and PHY 340 W3FE (S) cotton and nematicide combination at 40 DAP in 2021. P-value for Type III fixed effects for the Variety x Nematicide interaction was 0.0272. Nematicide treatments included no-nematicide control, Reklemel (0.21 L/ha) + Vydate C-LV (0.88 L/ha) Reklemel (0.28 L/ha) + Vydate C-LV (1.24 L/ha, Reklemel (0.56 L/ha) + Vydate C-LV (2.5 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), BIOST Nematicide 100, Reklemel (0.21 L/ ha) + Vydate C-LV (0.88 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), Reklemel (0.28 L/ha) + Vydate C-LV (1.24 L/ha), BIOST Nematicide 100 (0.026 mg ai/seed), Reklemel (0.56 L/ha) + Vydate C-LV (2.50 L/ha).
Figure 4 in Evaluation of Meloidogyne incognita and Rotylenchulus reniformis nematode-resistant cotton cultivars with supplemental Corteva Agriscience nematicides
Figure 4: Auburn University's Tennessee Valley Research Extension Center showing the nematode susceptible PHY 340 W3FE on the left and the R. reniformis-resistant PHY 332 W3FE on the right 102 DAP.
Figure 3 in Exogenous application of bio-stimulant and growth retardant improved the productivity of cotton cultivars under different planting arrangement
Figure 3. Influence of MLE and MC on bolls per plant of cotton genotypes cultivated under different planting arrangement in Multan (a) and Shujabad (b).
Figure 2 in Exogenous application of bio-stimulant and growth retardant improved the productivity of cotton cultivars under different planting arrangement
Figure 2. Influence of MLE and MC on flowers per plant of cotton genotypes cultivated under different planting arrangement in Multan (a) and Shujabad (b).
Figure 1 in Exogenous application of bio-stimulant and growth retardant improved the productivity of cotton cultivars under different planting arrangement
Figure 1. Influence of MLE and MC on squares per plant of cotton genotypes cultivated under different planting arrangement in Multan (a) and Shujabad (b).
Figure 4 in Plant age, crop stage and surrounding habitats: their impact on sucking pests and predators complex in cotton (Gossypium hirsutum L.) field plots in arid climate at district Layyah, Punjab, Pakistan
Figure 4. Means (±SE) number of sucking insect pests (jassid, thrips, whitefly) and predators (green lacewing, spider) in cotton field plots at three locations (five replications) with different surrounding habitats (sugarcane + sesame, monoculture, sesame) during cropping season of cotton from June 20 to September 18, 2018 at Layyah, Punjab, Pakistan.
Figure 3 in Plant age, crop stage and surrounding habitats: their impact on sucking pests and predators complex in cotton (Gossypium hirsutum L.) field plots in arid climate at district Layyah, Punjab, Pakistan
Figure 3. Means (±SE) number of sucking insect pests (jassid, thrips, whitefly) and predators (green lacewing, spider) in cotton field plots at three locations (five replications) at different crop developmental stages (crop phenology) of cotton from June 20 to September 18, 2018 at Layyah, Punjab, Pakistan.
Figure 2 in Plant age, crop stage and surrounding habitats: their impact on sucking pests and predators complex in cotton (Gossypium hirsutum L.) field plots in arid climate at district Layyah, Punjab, Pakistan
Figure 2. Means (±SE) number of sucking insect pests (jassid, thrips, whitefly) and predators (green lacewing, spider) in cotton field plots at three locations (five replications) during cropping season of cotton from June 20 to September 18, 2018 at Layyah, Punjab, Pakistan.
Figure 1 in Plant age, crop stage and surrounding habitats: their impact on sucking pests and predators complex in cotton (Gossypium hirsutum L.) field plots in arid climate at district Layyah, Punjab, Pakistan
Figure 1. Percent numbers of sucking insect pests (jassid, thrips, whitefly) and predators (green lacewing, spider) in cotton field plots at three locations (five replications) during 2018 at Layyah, Punjab, Pakistan.
Fig. 2 in Predation of stink bugs (Hemiptera: Pentatomidae) by a complex of predators in cotton and adjoining soybean habitats in Georgia, USA
Fig. 2. Least squares means (± SE) for number of stink bugs (species combined) and Orius insidiosus per 1.83 m length of row and percentage of predators positive for stink bug DNA in soybean and cotton by treatment. Within an insect group in a crop, treatment means with the same lowercase letter are not significantly different (Tukey's HSD, P> 0.05).
Fig. 4 in Predation of stink bugs (Hemiptera: Pentatomidae) by a complex of predators in cotton and adjoining soybean habitats in Georgia, USA
Fig. 4. Least squares means (± SE) for number of stink bugs (species combined) and Oxyopes salticus per 1.83 m length of row and percentage of predators positive for stink bug DNA in (A) soybean and cotton by treatment and (B) soybean and cotton by sampling week. Within an insect group in a crop, treatment or week means with the same lowercase letter are not significantly different (Tukey's HSD, P> 0.05). Only 1 Ox. salticus individual screened positive for stink bug (Nexara viridula) DNA in cotton. No predators were collected for PCR analyses in weeks 4 and 5 in cotton.
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OpenNeuro
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