Modeling the Competition Effect of Sagittaria trifolia and Monochoria vaginalis Weed Density on Rice in Transplanted Rice Cultivation

Moon, Byeong Chul; Kwon, Oh Do; Cho, Seung-Hyun; Lee, Sun Gye; Won, Jong Gun; Lee, In Yong; Park, Jae Eup; Kim, Do Soon

doi:10.5660/kjws.2012.32.3.188

Cited by 6 publications

(14 citation statements)

References 9 publications

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“…Biological parameter estimates are needed to identify optimal weed control strategies under both dynamic and static settings. Moon et al [13] estimated weed-crop competitiveness (denoted by a parameter, β) and weed-free yield (Y 0t ) in South Korea using a data set collected at Naju city. Spatial distributions of weed species were not considered because biological parameters for the analysis were only available for Naju city.…”

Section: Herbicide Application In Korean Rice Farmingmentioning

confidence: 99%

“…Thus, for accuracy, weed-free crop yields should be estimated based on these conditions. This paper uses estimates from Moon et al [13], and assumes that the parameters remain unchanged for all periods. In Section 2, we assumed that the herbicide dose-response takes the form of exponential decay, but the log-logistic model is commonly used in the crop science field.…”

Section: Herbicide Application In Korean Rice Farmingmentioning

confidence: 99%

“…The unit cost of Flucetosulfuron was indirectly estimated based on some assumptions. This paper indirectly estimated the unit price of Flucetosulfuron by using herbicide costs per hectare from Moon et al [13] and the herbicide guide from Kyungnong Corporation. We assume that farmers follow the user guide.…”

Section: Herbicide Application In Korean Rice Farmingmentioning

confidence: 99%

“…Especially, an empirical model which is developed using rectangular hyperbola is most commonly used to predict yield damage from weed-crop competition [5,[11][12][13]18,19]. In addition, we assume that yield losses take the form D(W) = βW 1+βW , where D(W) denotes the proportional yield losses given a certain level of weed density (W), and β is a parameter measuring the magnitudes of weed-crop competition.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…Many studies on rice paddy weed control have mostly focused on the estimation of yield loss function and dose-response curve [11,12]. A cost-benefit analysis of herbicide dosage was conducted for rice farmers, deriving a threshold level to attain a certain level of weed density [13]. However, the analysis of the economic threshold ignores a profit maximization rule underlying producers' behavior.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea

Jeon

Kim

2017

Sustainability

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This paper analyzes optimal weed control management strategies under static and dynamic decision rules. Seed bank is taken into account to introduce dynamics into the model. We present a numerical example of controlling Sheathed Monochoria (Monochoria Vaginalis) in Korean rice paddy fields. Our results show that producers benefit from dynamic decision rules; higher income and more control of weed density can be obtained with the same amount of herbicide. In order to illustrate the magnitude of differences between static and dynamic models, a numerical example is presented using a data set from Korean rice production. When it comes to controlling weed density, Korean rice farmers are found to be better off under the dynamic model, and the magnitude of advantages are found to be more sensitive to herbicide efficacy and less sensitive to initial seed banks and germination rates in terms of weed density.

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Section: Herbicide Application In Korean Rice Farmingmentioning

confidence: 99%

Section: Herbicide Application In Korean Rice Farmingmentioning

confidence: 99%

Section: Herbicide Application In Korean Rice Farmingmentioning

confidence: 99%

Section: Conceptual Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea

Jeon

Kim

2017

Sustainability

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Comparative Assessment of Multiple Linear Regression and Fuzzy Linear Regression Models

2021

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Prognosticating crop yield still remains as one of the challenging tasks in agriculture. Even though multiple linear regression methodology has dominated the area of predictive modelling, it is constrained to the assumption that the underlying relationship is assumed to be crisp or precise. Consequently, it often fails to provide satisfactory results when this assumption is violated in realistic situations. Fuzzy linear regression methodology is one of the promising and potential techniques to overcome this lacuna. Moreover, this fuzzy methodology can efficiently handle the problem of multicollinearity. In this paper, an attempt has been made to comparatively assess the efficiency of conventional regression models with their fuzzy counterparts using data on sweet corn yield (t/ha), total weed dry matter (g/m 2 ) at 30 DAS and total weed density (no./m 2 ) at 30 DAS. Model efficiency is computed in terms of average width of the prediction intervals. Efficiency of the models is also assessed in the presence of correlated explanatory variables. Outcomes emanated from the study clearly show the higher relative efficiency of fuzzy linear regression technique in comparison with the widely used simple and multiple linear regression techniques. This study also reveals that the fuzzy methodology has clear advantages over the conventional regression methodology in dealing with correlated explanatory variables.

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Herbicides for monochoria (Monochoria vaginalis) control in transplanted rice

Hazrati,

Yaghoubi,

Hosseini

et al. 2023

Weed Technol

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In Iran, monochoria is a noxious weed in fields of transplanted rice. Two field experiments were conducted to assess the efficacy of soil-applied and foliar-applied herbicides to control monochoria in transplanted rice. Prepackaged herbicides (triafamone plus ethoxysulfuron applied at 40 g ai ha−1, pyrazosulfuron-ethyl plus pretilachlor applied at 382.5 g ai ha−1, and pendimethalin plus clomazone applied at 1,200 g ai ha−1) reduced monochoria biomass by 100%, 100%, and 14%, respectively; and a single application of flucetosulfuron at 30 g ai ha−1, pendimethalin at 990 g ai ha−1, thiobencarb at 2,750 g ai ha−1, and pretilachlor at 1,000 g ai ha−1 reduced monochoria biomass by 100%, 99%, 75%, and 56%, respectively, compared with a nontreated control. Tank-mixed bensulfuron-methyl at 45 g ai ha−1 applied with pretilachlor, thiobencarb, or pendimethalin provided 100% control of monochoria. Rice height, and straw and grain yield were greater after herbicide treatments than those of the nontreated and hand-weeded controls, indicating the advantages of chemical control of monochoria over manual weeding. Full-season monochoria interference reduced rice grain yield by 32%. In the second study, the herbicides triafamone plus ethoxysulfuron, flucetosulfuron, 2,4-D at 1,080 g ai ha−1, dicamba plus 2,4-D at 928 g ai ha−1, bispyribac-sodium at 31.25 g ai ha−1, bentazon plus MCPA at 1,150 g ai ha−1, pyribenzoxim at 30 g ai ha−1, and propanil at 5,400 g ai ha−1 applied to foliage at 4- to 5-leaf seedlings of monochoria provided ≥97% control and prevented 100% of its regrowth, with the exception of propanil. This study shows that monochoria control can be achieved by using a variety of residual and foliar-applied herbicides with different mechanisms of action.

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Modeling the Competition Effect of Sagittaria trifolia and Monochoria vaginalis Weed Density on Rice in Transplanted Rice Cultivation

Cited by 6 publications

References 9 publications

Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea

Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea

Comparative Assessment of Multiple Linear Regression and Fuzzy Linear Regression Models

Herbicides for monochoria (Monochoria vaginalis) control in transplanted rice

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