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Utilizing germinability thresholds for optimizing stale seedbed applications to control red rice (Oryza spp.) in California rice cropping systems

Published online by Cambridge University Press:  01 February 2023

Liberty B. Galvin
Affiliation:
Graduate Student Researcher, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
Maya T. Delong
Affiliation:
Undergraduate Laboratory Assistant, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
Kassim Al-Khatib*
Affiliation:
Professor, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
*
Author for correspondence: Kassim Al-Khatib, Department of Plant Sciences, University of California, Davis, Davis, CA 95616. Email: kalkhatib@ucdavis.edu
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Abstract

“Weedy” red rice is a problematic weed with phenotypic similarities to cultivated rice. Limited herbicide availability has driven a need for nonchemical control options for managing this pest. One preplanting strategy that is being explored is the stale seedbed methodology, which aims to maximize soil seedbank withdrawals via germination. This technique is adapted in rice by flooding a field, waiting for germination and emergence of weed seedlings, and completing the method with a mechanical or chemical control application. Optimization of this process is dependent on maximizing weed seed germination, which is primarily influenced by both temperature and moisture availability. Germinability across a range of these factors is not well understood in California red rice. Thus, this study aimed to determine germinability of California red rice accessions under various temperature and water potential treatments. Previously described red rice accessions 1, 2, 3, and 5, along with ‘M206’, a common California rice cultivar, were exposed to temperatures from 10 to 40 C in 5 C increments in combination with water potentials of 0, −0.2, −0.4, or −0.8 MPa until either germination or weed seed decay occurred. Statistical analysis indicated a three-way interaction between accession, temperature, and water potential. Germination reached 95% or greater when seeds were exposed to temperatures from 20 to 35 C in combination with 0 or −0.2 MPa. Germination was lowest when seeds were water stressed (−0.8 MPa) and when temperatures were colder than 20 C or warmer than 35 C. The ‘M206’ cultivar was utilized for comparison and demonstrated cold tolerance by germinating at 10 C, whereas weedy accessions 1, 2, and 3 did not. When temperatures were at or above 15 C, however, ‘M206’ germinated less often compared with all weedy accessions. Historical preplant temperatures in this region align with those required for weedy rice germination. Thus, the stale seedbed methodology is a viable strategy in years when ample floodwater is available.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Weed Science Society of America
Figure 0

Table 1. Description of cultivar ‘M206’ and red rice accessions used for experimentation.a

Figure 1

Table 2. Fitted quadratic models using Equation 1 and associated R² values for each accession by water potential combination, where y is the germination response and x is the experimental temperature.

Figure 2

Figure 1. Total germination response for each accession across the temperature range assessed when exposed to adequate moisture (0, −0.2 MPa) conditions. Scatter points represent raw data from each replicate, lines represent a quadratic model fit for the data, and shaded areas are confidence of fit.

Figure 3

Figure 2. Total germination response for each accession across the temperature range assessed when exposed to water-stressed (−0.8, −0.4 MPa) conditions. Scatter points represent raw data from each replicate, lines represent a quadratic model fit for the data, and shaded areas are confidence of fit.