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    <identifier>10.57760/sciencedb.iga.01256</identifier>
    <datestamp>2026-09-18T15:19:09Z</datestamp>
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  <dc:date>2026-09-18</dc:date>
  <dc:title>Rice Paddy Soil Fertility Maintenance and Productivity Improvement Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.01256</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>To address the prominent challenges in the major rice-producing areas of Liaoning Province &amp;mdash; including large disparities in soil organic matter accumulation and depletion, insufficient utilization of resources such as water, fertilizers, and pesticides, and the low value-added of rice products &amp;mdash; a &amp;quot;Rice Paddy Soil Fertility Conservation and Quality-Efficiency Enhancement Model&amp;quot; was developed with &amp;quot;soil fertility improvement, resource use efficiency enhancement, and grain quality upgrading&amp;quot; as the core technical pathways. Shenyang Shenbei New District was designated as the core demonstration area, with other major rice-producing regions serving as radiation zones.
This dataset was constructed around the establishment and evaluation of the aforementioned model, and encompasses four components: (1) baseline soil data from the ten-thousand-mu demonstration area (Dataset 1); (2) high-throughput qPCR chip data of soil microbial communities following full-quantity in situ incorporation of rice straw (Dataset 2); (3) measurement and evaluation data on technology application effects in 2023 (Dataset 3); and (4) measurement and evaluation data on technology application effects in 2025 (Dataset 4). The key technologies involved include multi-pathway efficient organic material incorporation techniques (in situ straw incorporation, composting-based incorporation, and biochar-based incorporation), stabilized rice-specific fertilizer application technology, mechanized transplanting with simultaneous side-deep fertilization technology, and integrated water-saving and pest/disease management technology.
The dataset comprises 4 files, all in Excel format, with a total data volume of 504 KB.</dc:description>
  <dc:subject>Liaoning rice-growing region; soil fertility improvement; quality and efficiency enhance; multi-pathway rice straw incor; rice-specific fertilizer and s; soil microbial functional dive</dc:subject>
  <dc:creator>姜楠</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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