2013
DOI: 10.1002/ps.3649
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A model of the relationship between weedy rice seed‐bank dynamics and rice‐crop infestation and damage in Jiangsu Province, China

Abstract: By integrating the semi-empirical model and the exponential curve, weedy rice infestation levels and crop losses can be predicted based on the seed-bank dynamics so that a practical control can be adopted before rice planting.

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Cited by 23 publications
(17 citation statements)
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“…Therefore, rice yield was drastically reduced when weedy rice density increased in the rice field. A relationship of weedy rice density vs. rice yield modeled by Zhang et al (2014) is presented in Figure 2.…”
Section: Weedy Rice Biology and Competition With Cultivated Ricementioning
confidence: 99%
“…Therefore, rice yield was drastically reduced when weedy rice density increased in the rice field. A relationship of weedy rice density vs. rice yield modeled by Zhang et al (2014) is presented in Figure 2.…”
Section: Weedy Rice Biology and Competition With Cultivated Ricementioning
confidence: 99%
“…As such, this study sets out to estimate both the yield losses attributed to an established red rice seed bank as well as estimate the percentage of red rice kernels in commercial rice. We follow the red rice seed bank and rice crop infestation dynamic model put forth by Zhang, Dai, Song, and Qiang [33] to estimate rice yield loss. Appendix B provides a brief description of the model.…”
Section: Methodsmentioning
confidence: 99%
“…where YL t represents the percentage rice yield loss and M t is the density of mature red rice per square meter (m −2 ) in year t. Following Zhang, Dai, Song, and Qiang [33], we dynamically model M t as a function of the initial red rice seed bank in year t that germinates and survives competition. The contribution of mature red rice plants in year t to the initial seed bank in year t + 1 is a function of the shattering rate, the number of seeds produced per red rice plant, and the dormancy rate.…”
Section: Methodsmentioning
confidence: 99%
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