Data · dataset · 2024
Replication data for: optimized sampling for pest mapping in soybean crop using environmental covariates
Listed in REDU - Unicamp Institutional Research Data Repository
Description
Georeferenced Sampling of Insect Pests in Soybean Crops for Two-Phase Sampling Optimization: Research was conducted in two soybean cultivation plots totaling 26 hectares, managed under crop rotation with sorghum or oats in the fall, located in Cosmópolis municipality (22°41’56”S and 47°10’32”W), São Paulo state, Brazil. Phase 1 - 2021/2022 crop season – The cultivar used was M5917 IPRO, with an indeterminate growth habit, sown on November 23, 2021.
Samplings were performed during the soybean phenological stages V8 (41 days after sowing – DAS), R2 (50 DAS), R3 (57 DAS), R4 (64 DAS), R5 (77 and 84 DAS), and R7 (99 DAS), following the phenological scale proposed by Fehr & Caviness (1977). Phase 2 - 2022/2023 crop season - The cultivars NS5933 IPRO and Coliseu 631X65 RSF I2X, both with indeterminate growth habits, were sown on November 5, 2022. Insect pest monitoring was conducted during the phenological stages R2 (59 and 60 DAS), R5 (80 and 81 DAS), and R5 (94 and 95 DAS).
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Links
Where it is published
- Dataverse dataset page redu.unicamp.br/dataset.xhtml?persistentId=doi%3A10.25824%2Fredu%2FCRFFQU ↗
landing page · from redu unicamp br
- DOI doi.org/10.25824/redu/crffqu ↗
DOI / persistent id · from redu unicamp br
Catalogue records · 1
- Dataverse API redu.unicamp.br/api/datasets/:persistentId/?persistentId=doi%3A10.25824%2Fredu… ↗
metadata API · from redu unicamp br
Topics
- Stated by source
- Agricultural Sciences · Engineering
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| REDU - Unicamp Institutional Research Data Repository | doi:10.25824/redu/CRFFQU | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:401301 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Digital mapping'] |
| concepts[field].anzsrc:group:3103 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Ecology'] |
| concepts[field].anzsrc:group:4611 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Machine learning'] |
| concepts[field].dataverse_subject:agricultural-sciences | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].dataverse_subject:engineering | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| created_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| description | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /description |
| publication_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| title | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /name |
| updated_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| version_label | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 |