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  • 1
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    Maize Stress DIESI-MS Data and R Script (2012)
    PANGAEA
    In:  Supplement to: García-Flores, Martín; Juárez-Colunga, Sheila; Montero-Vargas, Josaphat Miguel; López-Arciniega, Janet Ana Isabel; Chagolla, Alicia; Tiessen, Axel; Winkler, Robert (2012): Evaluating the physiological state of maize (Zea mays L.) plants by direct-injection electrospray mass spectrometry (DIESI-MS). Molecular BioSystems, 8(6), 1658-1660, https://doi.org/10.1039/C2MB25056J
    Details
    Publication Date: 2023-01-13
    Description: Climatic change is an increasing challenge for agriculture that is driving the development of suitable crops in order to ensure supply for both human nutrition and animal feed. In this context, it is increasingly important to understand the biochemical responses of cells to environmental cues at the whole system level, an aim that is being brought closer by advances in high throughput, cost-efficient plant metabolomics. To support molecular breeding activities, we have assessed the economic, technical and statistical feasibility of using direct mass spectrometry methods to evaluate the physiological state of maize (Zea mays L.) plants grown under different stress conditions.
    Keywords: CIMMYT; El-Batan; Event label; File content; File name; HAND; Mexico; Sampling by hand; Tlaltizapan; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 84 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Metabolic heat maps of tea and coffee variants (2013)
    PANGAEA
    In:  Supplement to: Montero-Vargas, Josaphat Miguel; Gonzáles-Gonzáles, Lindbergh Humberto; Galvez-Ponce, Eligio; Ramírez-Chávez, Enrique; Molina-Torres, Jorge; Chagolla, Alicia; Montagnon, Christophe; Winkler, Robert (2013): Metabolic phenotyping for the classification of coffee trees and the exploration of selection markers. Molecular BioSystems, 9, 693-699, https://doi.org/10.1039/C3MB25509C
    Details
    Publication Date: 2023-11-22
    Description: High-throughput metabolic phenotyping is a challenge, but it provides an alternative and comprehensive access to the rapid and accurate characterization of plants. In addition to the technical issues of obtaining quantitative data of plenty of metabolic traits from numerous samples, a suitable data processing and statistical evaluation strategy must be developed. We present a simple, robust and highly scalable strategy for the comparison of multiple chemical profiles from coffee and tea leaf extracts, based on direct-injection electrospray mass spectrometry (DIESI-MS) and hierarchical cluster analysis (HCA). More than 3500 individual Coffea canephora and Coffea arabica trees from experimental fields in Mexico were sampled and processed using this method. Our strategy permits the classification of trees according to their metabolic fingerprints and the screening for families with desired characteristics, such as extraordinarily high or low caffeine content in their leaves.
    Keywords: Abbreviation; Event label; HAND; Irapuato; Ixhuatlan; Lima; Mexico; Peru; Sample comment; Sampling by hand; Tapachula; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 114 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
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