Modeling the Emergence of Echinochloa sp. in Flooded Rice Systems release_l7gvopfaafhxvk22lw3qer3f2i

by Francisco A. P. Goulart, Renan Ricardo Zandoná, Maicon Schmitz, André Ulguim, André Andres, Dirceu Agostinetto

Published in Agronomy by MDPI AG.

2020   Volume 10, Issue 11, p1756

Abstract

Barnyard grass (Echinochloa sp.) is one of the main rice weeds. Knowledge of its emergence can support management measures. The present study models barnyard grass emergence at different flooded rice sowing periods. Furthermore, the effectiveness of the hydrothermal time model in estimating barnyard grass emergence is analyzed. Field emergence was monitored three times a week during two sowing times (October and November) and two growing seasons (2017/18 and 2018/19), in rice sown and unsown areas. Data were converted to cumulative emergence based on total seedlings. Soil temperature and moisture data were used to determine hydrothermal time. The sowing in October led to a continuous emergence of barnyard grass, while the sowing in late November led to different emergence rates. The highest emergence rates of barnyard grass occur in the first sowing time. The hydrothermal time model is adequate to estimate barnyard grass emergence in both sowing times.
In application/xml+jats format

Archived Files and Locations

application/pdf  1.2 MB
file_dqualvzf5fg3ljg4p47sghmkiy
res.mdpi.com (publisher)
web.archive.org (webarchive)

Web Captures

https://www.mdpi.com/2073-4395/10/11/1756/htm
2022-05-02 11:54:23 | 44 resources
webcapture_lkzd6r35zrhj3gouzpwfcxr67i
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2020-11-12
Language   en ?
Container Metadata
Open Access Publication
In DOAJ
In ISSN ROAD
In Keepers Registry
ISSN-L:  2073-4395
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 090802d3-251b-4cbd-b366-981468bbbebc
API URL: JSON