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243
datasets available to search
ShareScore release 0.7.1
Dataset results
243 results for “Medicago sativa”
Medicago sativa L. (BR0000011975977)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011976943)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011975458)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011976578)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011977155)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011976486)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000012376001)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011976240)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011975007)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011976424)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011976370)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago sativa L. (BR0000011976905)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Fig. 2 in Characterization Of Latvian Alfalfa Medicago Sativa Genetic Resources
Fig. 2. Histograms of flow cytometric analysis for alfalfa leaves: (A) tetraploid plant of accession Skrīveru and (B) diploid plant of accession Dzelmes.
Raw Data: Breeding alfalfa (Medicago sativa L.) in mixture with grasses
<p>Meta information and full raw data that was used for publication "Breeding alfalfa (<em>Medicago sativa</em> L.) in mixture with grasses"</p> <p>Experiment conducted at Agroscope, Reckenholzstrasse 191, 8046 Zürich, Switzerland</p> <p>Author: Christoph Grieder</p> <p> </p>
A public mid-density genotyping platform for alfalfa (Medicago sativa L.)
<p>Small public breeding programs have many barriers to adopting technology, particularly creating, and using genetic marker panels for genomic-based decisions in selection. Here we report the creation of a DArTag panel of 3,000 loci distributed across the alfalfa genome for use in molecular breeding and genomic prediction. The creation of this marker panel brings cost-effective and rapid genotyping capabilities to public breeding programs. The open access provided by this platform will allow genetic data sets generated on the marker panel to be compared and joined across projects, institutions, and countries. This genotyping resource has the power to bring genotyping equity to breeders in alfalfa. This is the first installment of a series of papers on creating affordable public genotyping resources for underserved agricultural plant and animal species.</p>
Alfalfa (Medicago sativa) salt tolerance/mutualistic bacteria inoculation
<p>Alfalfa (<em>Medicago sativa</em>) is a ubiquitous forage legume crop, responsible for the nutrition of many of the world's livestock animals. Unfortunately, alfalfa suffers from insufficient levels of salinity tolerance in many semi-arid regions around the world, including western Canada. To attempt to find ways to mitigate salinity stress in alfalfa, this study combined conventional breeding techniques with inoculation by mutualistic soil bacteria. Three alfalfa generations sequentially selected for improved salt tolerance were inoculated with either highly salt-tolerant (<em>H. maura</em>), moderately-tolerant (<em>Ensifer meliloti</em>) bacteria, or a 60 kg/ha nitrogen amendment in either non- (0 dS/m), moderate-(8 dS/m), or highly (16 dS/m) saline soil in the greenhouse. Plants were assessed for success in saline conditions through root/shoot biomass measurements, shoot height, chlorophyll content, number of stems, and root and shoot osmoprotectant concentrations (proline, glycine betaine, and trehalose). Results showed that rhizobium was the most beneficial bacteria to alfalfa under moderately saline conditions, and that generation 2 appeared to be the most salt-adapted alfalfa population. Additionally, nitrogen amendments appeared to provide benefits to biomass and osmoprotectant production. The salt-tolerant bacteria <em>H. maura</em> failed to provide any benefits to alfalfa growth, suggesting that reported benefits from the previous studies may be genotype/location specific. The improved performance of generation 2 relative to generation 3 may suggest the onset of an inbreeding depression, to which alfalfa (being an outcrossing species) is susceptible. These findings suggest nitrogen may be an important nutrient for alfalfa under moderately salt-stressed conditions, and that intense selection may be less effective than moderate selection intensity for the improvement of salinity tolerance.</p>
A public mid-density genotyping platform for alfalfa (Medicago sativa L.)
Open the record for dataset details and reuse information.
Alfalfa (Medicago sativa) salt tolerance/mutualistic bacteria inoculation
Open the record for dataset details and reuse information.
Kellogg Biological Station site, station Treatment 3, organic-based low chemical input (banded herbicide, starter N), winter leguminous crop, annual tillage and post-planting cultivation, study of aboveground net primary productivity of Medicago sativa 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 Medicago sativa 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 Medicago sativa 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 Medicago sativa measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.
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