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95 results for “Glycine max”
Glycine max (L.) Merr. (BR0000011567622)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Glycine max (L.) Merr. (BR0000011567400)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Glycine max (L.) Merr. (BR0000011567431)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Glycine max (L.) Merr. (BR0000024691055)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Glycine max (L.) Merr. (BR0000011567653)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Glycine max (L.) Merr. (BR0000011567684)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Figure 3 in Partially purified Glycine max proteinase inhibitors: potential bioactive compounds against tobacco cutworm, Spodoptera litura (Fabricius, 1775) (Lepidoptera: Noctuidae)
Figure 3. Food assimilation (in mg) with respect to control when second-instar larvae of S. litura were given different concentrations of soybean PIs. Columns and bars represent the mean ± SE. Different letters above the columns representing each concentration indicate significant differences with Tukey's test at P ≤ 0.05.
Figure 2 in Partially purified Glycine max proteinase inhibitors: potential bioactive compounds against tobacco cutworm, Spodoptera litura (Fabricius, 1775) (Lepidoptera: Noctuidae)
Figure 2. Percentage survival of adults when second-instar larvae of S. litura were given different concentrations of soybean PIs. Columns and bars represent the mean ± SE. Different letters above the columns representing each concentration indicate significant differences with Tukey's test at P ≤ 0.05.
Figure 1 in Partially purified Glycine max proteinase inhibitors: potential bioactive compounds against tobacco cutworm, Spodoptera litura (Fabricius, 1775) (Lepidoptera: Noctuidae)
Figure 1. (A) Normal S. litura adult, (B–D) abnormality in adults observed at 100 µg/mL concentration of soybean PIs.
Figure 4 in Partially purified Glycine max proteinase inhibitors: potential bioactive compounds against tobacco cutworm, Spodoptera litura (Fabricius, 1775) (Lepidoptera: Noctuidae)
Figure 4. Trypsin activity in larvae of S. litura at different time intervals under the influence of partially purified soybean PIs.
Kellogg Biological Station site, station Treatment 1, standard levels of chemical inputs, conventional chisel plowed tillage, study of aboveground net primary productivity of Glycine max in units of gramsPerMeterSquaredPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains aboveground net primary productivity of Glycine max measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 2, standard levels of chemical inputs, no tillage, study of aboveground net primary productivity of Glycine max in units of gramsPerMeterSquaredPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains aboveground net primary productivity of Glycine max measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 4, certified oganic, no chemical inputs, annual tillage, rotary-hoed to control weeds, study of aboveground net primary productivity of Glycine max in units of gramsPerMeterSquaredPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains aboveground net primary productivity of Glycine max measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Kellogg Biological Station, study of aboveground net primary productivity of Glycine max in units of gramsPerMeterSquaredPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains aboveground net primary productivity of Glycine max measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.
Fig. 4 in Increase in isoflavonoid content in Glycine max cells transformed by the constitutively active Ca independent form of the AtCPK1 gene
Fig. 4. Expression of the G. max genes (a) - of the upstream enzymes - 4- coumarate:CoA ligase (4CL), (b) – of the downstream enzymes - isoflavones synthase (IFS) and the final step of daidzein and genistein biosynthesis - 2- hydroxyisoflavanone dehydratase (HID) and (c) - enzymes involve in prenilation of daidzein and coumestrol - isoflavone dimethylallyltransferase (IDT1) and coumestrol 4-dimethylallyltransferase (C4DT) in the control callus culture (Gm) and callus line transformed with the constitutively active AtCPK1 (GmCa1 and GmCa2). Data (mean ± standard error) represent measurements of three independent replicates from two different RNA isolations and are presented as relative expression levels normalized to the expression of the G. max housekeeping genes. Different letters above the bars indicate statistically significant differences of means (P <0.05), Fisher's LSD.
Fig. 2. A in Increase in isoflavonoid content in Glycine max cells transformed by the constitutively active Ca independent form of the AtCPK1 gene
Fig. 2. A representative HPLC-UV profile of the AtCPK1-transformed callus culture of G. max – GmCa2 (A) and the control callus culture Gm (B). The callus tissue extracts recorded at 254 nm. Peak numbers correspond to each of the identified components and are listed in Table 3.
Fig. 3 in Increase in isoflavonoid content in Glycine max cells transformed by the constitutively active Ca independent form of the AtCPK1 gene
Fig. 3. Content (mg/g DW) of isoflavones-aglycones (a) and their glucosides and malonyl-glucosides derivatives (b–d) and prenylated isoflavones (e) in the control calli (Gm) and the AtCPK-transformed callus cultures - GmCa1 and GmCa2. Data are presented as the mean ± SE from four subcultures (biological replicates) with two technical replicates for each experiment. Different letters above the bars indicate statistically significant differences of means (P <0.05), Fisher's LSD.
Fig. 1 in Increase in isoflavonoid content in Glycine max cells transformed by the constitutively active Ca independent form of the AtCPK1 gene
Fig. 1. The branch of phenylpropanoid pathway leading to flavonoids. PAL, phenylalanine ammonia-lyase; C4H, cinnamate 4-hydroxylase; CHS, chalkone synthase; CHR, chalkone reductase; CHI, chalkone isomerase; FN3H, flavanone 3-hydroxylase; IFS, isoflavone synthase; HID, 2-hydroxyisoflavanone dehydratase, IDT1, isoflavone dimethylallyltransferase 1; IDT2, isoflavone dimethylallyltransferase 2; C4DT, coumestrol 4-dimethylallyltransferase.
A Deep Learning Dataset for Soy Beans GLYCINE MAX
<p>The images of soybeans (<em>Glycine Max</em>) were taken on an outdoor farmland in July 2024 in Bauchi, Nigeria. The images were taken 3 weeks after planting. The farmland has not been treated with any fertilizers and the plants also have not been artificially fertilized. Images captured the canopy of the plants.</p> <p><strong>File Description</strong></p> <p>The file contains a <strong>.zip </strong>file "Soy Beans Plant" containing 655 images and another 84 images in the root folder for preview.</p>
Fig. 8. Proposed structures for 1 in Identification of iron-chelating phenolics contributing to seed coat coloration in soybeans (Glycine max (L.) Merr.) expressing aryloxyalkanoate dioxygenase-12
Fig. 8. Proposed structures for 1:1:1 complexes between genistin, iron, and galacturonic acid (left) or digalacturonic acid (right).
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