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Data · dataset · 2023

Dataset for Identification of Soybean Variety Resources in Some Regions of Northeast Three Provinces (1984-1987)

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a.

Description

Data content (data file/table name, including observation index content) Data file name: Identification Dataset of Soybean Variety Resources in Some Regions of Northeast Three Provinces (1984-1987) Includes 1 table: Excel (1) Soybean Variety Resource Identification Dataset This includes the variety name, source and place of origin, growth period, number of growing days, growth habits, podding habits, plant shape, leaf shape, flower color, furry color, pod ripening color, grain shape, seed coat color, cotyledon color, navel color, seed coat luster, plant height, number of main stem nodes, number of branches, number of pods per plant, number of grains per plant, hundred grain weight, purple spot grain rate, brown spot grain rate, complete grain rate, lodging, mosaic virus, cyst nematode 1, cyst nematode 3 Gray spot disease, downy mildew, heartworm, protein, oil content, aspartic acid, threonine, serine, glutamic acid, proline, glycine, alanine, cysteine, valine, methionine, isoleucine, leucine, tyrosine, phenylalanine, lysine, histidine, tryptophan, arginine, palmitic acid, stearic acid, oleic acid, linoleic acid, linolenic acid, iodine value and other indicators. b.

Construction purpose Provide data support for the research on soybean quality resources in some areas of the three northeastern provinces. c. Service recipients Engaged in research, management, and research personnel related to soybean diseases and pests d. Time range of data The data collection period is from 1984 to 1987 e.

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The spatial range and projection method of data Part of the Northeast Three Provinces

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Catalogue records · 1

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Inferred from text
Disease 75% · Tabular 65%
Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.IGA.0093110 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:tabularenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (65%)
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