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94 results for “alfalfa”
FIGURES 31–45. Figures 31–33 in Key for identification of the parasitoids (Hymenoptera: Braconidae: Aphidiinae) of aphids infesting alfalfa in Europe
FIGURES 31–45. Figures 31–33. Lateral view of ovipositor sheath of Trioxys and Binodoxys species. 31. Trioxys complanatus Quilis. 32. Binodoxys acalephae (Marshall). 33. Binodoxys angelicae (Haliday). Figures 34–36. Dorsal view of petiole of Trioxys and Binodoxys species. 34. Trioxys complanatus Quilis. 35. Binodoxys acalephae (Marshall). 36. Binodoxys angelicae (Haliday). Figures 37–42. Lateral view of petiole of Aphidius species. 37. Aphidius ervi Haliday. 38. Aphidius avenae Haliday. 39. Aphidius colemani Viereck. 40. Aphidius smithi Sharma & Subba Rao. 41. Aphidius eadyi Stary, Gonzalez & Hall. 42. Aphidius banksae Kittel. Figures 43–44. Dorsal view of propodeum of Aphidius species. 43. Aphidius eadyi Stary, Gonzalez & Hall. 44. Aphidius banksae Kittel. Figure 45. Lateral view of ovipositor sheath of Monoctonus nervosus Haliday.
FIGURES 16–30. Figures 16–19 in Key for identification of the parasitoids (Hymenoptera: Braconidae: Aphidiinae) of aphids infesting alfalfa in Europe
FIGURES 16–30. Figures 16–19. Fore wings of Aphidius females. 16. Aphidius colemani Viereck. 17. Aphidius smithi Sharma & Subba Rao. 18. Aphidius eadyi Stary, Gonzalez & Hall. 19. Aphidius banksae Kittel. Figure 20. Fore wing of Monoctonus nervosus Haliday female. Figures 21–23. Aphidiinae mummies. 21. Ephedrus spp. 22. Praon spp. 23. Aphidius spp. Figures 24–26. Dorsal view of propodeum of Praon species (females). 24. Praon exsoletum (Nees). 25. Praon volucre (Haliday). 26. Praon barbatum Mackauer. Figures 27-29. Dorsal view of mesonotum of Praon species (females). 27. Praon abjectum (Haliday). 28. Praon volucre (Haliday). 29. Praon barbatum Mackauer. Figure 30. Lateral view of ovipositor sheath of Lipolexis gracilis Förster.
FIGURES 1–15 in Key for identification of the parasitoids (Hymenoptera: Braconidae: Aphidiinae) of aphids infesting alfalfa in Europe
FIGURES 1–15. Fore wings of Aphidiinae females. 1. Ephedrus plagiator (Nees). 2. Praon exsoletum (Nees). 3. Praon abjectum (Haliday). 4. Praon volucre (Haliday). 5. Praon barbatum Mackauer. 6. Lipolexis gracilis Förster. 7. Trioxys complanatus Quilis. 8. Binodoxys acalephae (Marshall). 9. Binodoxys angelicae (Haliday). 10. Lysiphlebus orientalis Starý & Rakhshani. 11. Lysiphlebus testaceipes (Cresson). 12. Lysiphlebus fabarum (Marshall), 13. Lysiphlebus confusus Tremblay & Eady. 14. Aphidius ervi Haliday. 15. Aphidius avenae Haliday
Combined transcriptomics and metabolomics analysis reveals the mechanism behind the pollen abortion in early stage among male sterile lines of alfalfa
<p><span>This study investigates early-stage anther development in cytoplasmic male sterile (CMS) alfalfa lines (MSJN1A) compared to their isotypic maintainer line (MSJN1B). Histological analyses revealed abnormal degradation of tapetal cells post-meiosis in the CMS line. Notably, during the early mononuclear stage, the central vacuole in the microspores was absent, leading to evident pollen abortion. These findings suggest that pollen abortion in the CMS line is associated with the delayed disintegration of the tapetum and structural anomalies in microspore vacuoles.</span><span> </span><span>Non-targeted metabolomic sequencing was employed to analyze the early anther metabolites of alfalfa, identifying four hundred and one and four hundred and five metabolites in the late tetrad and early mononuclear stages, respectively. Among these, thirty-nine metabolites were consistently up-regulated, while eighty-eight were down-regulated. Differential analysis revealed forty-five and thirty-seven unique metabolites in each respective stage. These metabolites primarily featured in pathways related to energy, phenylpropane, sucrose and starch, and fatty acid metabolism. Integrated analysis demonstrated that differentially expressed genes (DEGs) and differential metabolites (DMs) were co-enriched in these pathways. Additionally, quantitative real-time PCR and physiological index analysis confirmed the down-regulation of key genes during anther development, illustrating that changes in gene regulation upstream could significantly impact downstream metabolite levels, ultimately influencing pollen fertility.</span></p>
The South American Black Bumblebee (Bombus pauloensis) as a Potential Pollinator of Alfalfa (Medicago sativa)
<p><span>Abstract of the manuscript: We assessed if the commercially reared South American bumblebee <em>Bombus pauloensis</em> has potential as an alfalfa pollinator by monitoring their colony activity daily. We analyzed the pollen collected by using pollen traps specifically designed for <em>B. pauloensis</em> nests and counted the number of bumblebees in the crop. As results, colony activity was found to be highest during the mornings, 65% of the pollen trap samples analyzed contained alfalfa pollen grains, and 60% of the total pollen loads were identified as alfalfa pollen. Although the honey bee was the predominant pollinator observed in the crop, the high percentage of alfalfa pollen found in the pollen traps of <em>B. pauloensis</em> nests suggests that this species could be considered a potential managed pollinator for alfalfa crops.</span></p>
Images and statistical analysis of alfalfa root crowns from inside and outside disease rings caused by cotton root rot
<p>This repository contains raw image data of root crowns imaged using the backlit RhizoVision Crown platform of alfalfa plants from either inside or outside disease rings caused by cotton root rot for a manuscript to be submitted. Data files and the R scripts are included for complete statistical analysis associated with the imaged root crown set.</p> <p>Please cite both this repository and below journal article if reusing this data for a publication.</p> <p><strong>Manuscript Title:</strong> Digital imaging to evaluate root system architectural changes associated with soil biotic factors</p> <p><strong>Authors: </strong>Chakradhar Mattupalli, Anand Seethepalli, Larry M. York, Carolyn A. Young</p> <p><strong>Journal Article: </strong><a href="https://doi.org/10.1094/PBIOMES-12-18-0062-R">https://doi.org/10.1094/PBIOMES-12-18-0062-R</a> (open access)</p> <p><strong>Image Files</strong></p> <p>afalfa_roots_raw_images.zip - 264 images in PNG format directly from a monochrome camera with gamma at 3.9 to make near-segmented raw images in greyscale</p> <p>alfalfa_feature_images.zip - 264 images in PNG format with a subset of computed features overlaid</p> <p>alfalfa_segmented_images.zip - 264 black and white, binary images in PNG format that result from simple thresholding of the raw images</p> <p>I_scale_1.png - an image of a 6 inch ruler for extracting pixel to physical unit conversion</p> <p>metadata.csv - metadata output from RhizoVision Analyzer with diameter ranges and other options used for image analysis</p> <p><strong>Statistical Analysis</strong></p> <p>alfalfaCRR_features_10012018.csv - extracted features from RhizoVision Analyzer v1.0.3 - called by name in R script</p> <p>RootArchitectureFieldStudyimagetoIDmap.csv - mapping of image file names to plot identity - called by name in R script</p> <p>manuscript complete root rot RVC analysis.R - R script with all analysis that used the data from the imaged root crowns</p> <p> </p> <p> </p>
Data from: Thermal history of alfalfa leafcutting bees affects nesting and diapause incidence
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Gene expression data of Sinorhizobium meliloti-alfalfa initiation of symbiosis
<p>Rhizobia are ecologically important, facultative plant symbiotic microbes. In nature there exists large variability in the association of rhizobial strains and host plants of the same species. Here, we evaluated whether plant and rhizobial genotypes influence the initial transcriptional response of rhizobium following perception of host plant. RNA-sequencing of the model rhizobium <i>Sinorhizobium meliloti</i> exposed to root exudates or luteolin was performed in a combination of three <i>S. meliloti</i> strains and three <i>Medicago sativa</i> varieties. The response to root exudates involved hundreds of changes in the rhizobium transcriptome. Of the differentially expressed genes, expression of 35% were influenced by strain genotype, 16% by the plant genotype, and 29% by strain x host plant genotype interactions. We also examined the response of a hybrid <i>S. meliloti</i> strain, in which the symbiotic megaplasmid (~ 20% of the genome) was mobilized between two of the above-mentioned strains. Dozens of genes were up-regulated in the hybrid strain, indicative of nonadditive variation in the transcriptome. In conclusion, this study demonstrated that transcriptional responses of rhizobia upon perception of legumes is influenced by the genotypes of both symbiotic partners, and their interaction, a wide spectrum of genetic determinants involved in the phenotypic variation of plant-rhizobium symbiosis.</p>
DO ALFALFA PLANTING TIMES AND METHODS AFFECT WHEAT GROWTH AND DEVELOPMENT?
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FIGURE 2 in Diversity of wasps (Hymenoptera) in alfalfa (Medicago sativa L.) farms in Basrah Governorate, Southern Iraq
FIGURE 2. Lateral view of Dendrocerus aphidum: female (A) and male (B).
FIGURE 1 in Diversity of wasps (Hymenoptera) in alfalfa (Medicago sativa L.) farms in Basrah Governorate, Southern Iraq
FIGURE 1. Sample collection sites in Basrah Governorate, Iraq.
FIGURE 10 in Diversity of wasps (Hymenoptera) in alfalfa (Medicago sativa L.) farms in Basrah Governorate, Southern Iraq
FIGURE 10. Relative abundance of wasp species at each of the four sampling locations.
FIGURE 5 in Diversity of wasps (Hymenoptera) in alfalfa (Medicago sativa L.) farms in Basrah Governorate, Southern Iraq
FIGURE 5. Lateral view of Gronotoma micromorpha: female (A) and male (B).
Pan-genomic analysis highlights genes associated with agronomic traits and enhances genomics-assisted breeding in alfalfa
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Gene expression data of Sinorhizobium meliloti-alfalfa initiation of symbiosis
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Transcript analysis in two alfalfa salt tolerance selected breeding populations relative to a non-tolerant population
GEO Series GSE84825. Medicago sativa. 27 samples. Type: Expression profiling by high throughput sequencing.
Genotype- and tissue-specific microRNA profiles and their targets in three alfalfa (Medicago sativa L) accessions
GEO Series GSE119460. Medicago sativa. 11 samples. Type: Non-coding RNA profiling by high throughput sequencing; Other.
Transcriptome of alfalfa plants under animal grazing
GEO Series GSE50430. Medicago sativa. 3 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic analysis of Alfalfa response to low selenium concentration
GEO Series GSE192349. Medicago sativa. 6 samples. Type: Expression profiling by high throughput sequencing.
Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
GEO Series GSE26757. Medicago sativa. 6 samples. Type: Expression profiling by high throughput sequencing; Genome variation profiling by high throughput sequencing; Other.
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