| dc.contributor.author |
Martins, Cenneya Lopes |
|
| dc.contributor.author |
Amaral, Lucas Rios |
|
| dc.date |
2024-12-11 |
|
| dc.date.accessioned |
2024-12-09 |
|
| dc.date.accessioned |
2024-12-13T01:11:35Z |
|
| dc.date.available |
2024-12-13T01:11:35Z |
|
| dc.identifier.uri |
https://doi.org/10.25824/redu/CRFFQU |
|
| dc.identifier.uri |
https://redu.unicamp.br/dataset.xhtml?persistentId=doi:10.25824/redu/CRFFQU |
|
| dc.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). The 150 points from the three samplin |
|
| dc.description.sponsorship |
Conselho Nacional de Desenvolvimento Científico e Tecnológico |
|
| dc.format |
text/tab-separated-values |
|
| dc.format |
text/tab-separated-values |
|
| dc.format |
text/tab-separated-values |
|
| dc.format |
text/tab-separated-values |
|
| dc.format |
text/tab-separated-values |
|
| dc.format |
text/tab-separated-values |
|
| dc.format |
text/tab-separated-values |
|
| dc.format |
text/tab-separated-values |
|
| dc.format |
text/tab-separated-values |
|
| dc.format |
text/tab-separated-values |
|
| dc.publisher |
Lopes Martins, Cenneya |
|
| dc.subject |
Agricultural Sciences |
|
| dc.subject |
Engineering |
|
| dc.title |
Replication data for: optimized sampling for pest mapping in soybean crop using environmental covariates |
|
| dc.description.sponsorshipId |
CNPQ: 140060/2021-9 |
|