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                <identifier>oai:data.mendeley.com/stbs42x7k9.2</identifier>
                <datestamp>2024-12-30T11:31:02Z</datestamp>
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    <dc:creator>Wade, Len</dc:creator>
    <dc:title>Perennial rice regrowth responds to stubble characteristics, temperature and genotype</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This Excel spreadsheet presents the dataset used to prepare the manuscript, &quot;Perennial rice regrowth responds to stubble characteristics, temperature and genotype&quot;, which has been submitted to Field Crops Research. The experiment was conducted at Menghai in Yunnan Province of China from 2020 to 2022, comprising 3 Environments (E), 4 Genotypes (G), 5 Samples (S) and 3 Replicates (Rep), for N = 180 cases. There were 20 parameters recorded:  E, G, S, Rep; Exposure to Cold (C); Grain yield (t/ha); 12 Growth Parameters (root, leaf, stem and total components of Dry Matter (DM g/pl), [Soluble sugar] (mg/g), and [Starch] (mg/g); and Shoot number (SN/pl) and the Natural log of shoot number (lnSN). Further details are provided in the manuscript.
</dc:description>
    <dc:subject>Agronomy</dc:subject>
    <dc:subject>Rice</dc:subject>
    <dc:subject>Crop Physiology</dc:subject>
    <dc:subject>Perennial</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/stbs42x7k9.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/stbs42x7k9.2</dc:identifier>
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    <dc:date>2024-12-30T11:31:02Z</dc:date>
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