A study of wheat-weed response and economical analysis to fertilization and post-emergence herbicides under arid climatic conditions

Sarita, .; Singh, Ishwar; Mehriya, Moti Lal; Samota, Mahesh Kumar

doi:10.3389/fagro.2022.914091

Cited by 2 publications

(2 citation statements)

References 42 publications

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“…This resulted in minimal decrease in grain yield. These findings are in accordance with those of Meena et al (2019) [11] , Sharma et al (2020) [19] , Lakra (2021) [9] , Sarita et al (2022) [17] .…”

Section: Effect On Weed Indicessupporting

confidence: 92%

Efficacy of clodinafop propargyl alone and its compatibility with other herbicides on weed indices and productivity of wheat (Triticum aestivum L.)

Sikeriya,

Rawat,

Mishra

et al. 2024

Int. J. Res. Agron.

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A field experiment was conducted during the rabi season of 2021-22 at Research Farm A, College of Agriculture, Ganj Basoda, District Vidisha (M.P.) to evaluate the bio-efficacy of tank-mix herbicides in wheat. The experiment consisting of nine treatments was laid out in randomized block design with three replications. The results revealed that tank-mix application of clodinafop propargyl + metsulfuron methyl @ 60 + 4 g a.i. ha -1 reduced significantly the weed density (14.61 No./m 2 ), dry weight (24.73 g/m 2 ) and weed index (3.25%) while highest weed control efficiency (85.26%), herbicide efficiency index (3.587), weed persistence index (1.229), crop resistance index (9.368), grain yield (4854 kg ha -1 ) and crop dry matter yield (12643 kg ha -1 ) to over all the herbicidal treatments but found at par with clodinafop propargyl + metribuzin @ 60 + 175 and clodinafop propargyl + carfentrazone ethyl @ 60 + 20 g a.i. ha -1 .

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Section: Effect On Weed Indicessupporting

confidence: 92%

Efficacy of clodinafop propargyl alone and its compatibility with other herbicides on weed indices and productivity of wheat (Triticum aestivum L.)

Sikeriya,

Rawat,

Mishra

et al. 2024

Int. J. Res. Agron.

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“…Without weed control the mean plant height of wheat decreases and the variability of the growth increases dramatically. This corresponds with literature that reports decreasing mean plant height of wheat (Oad et al, 2006) and decreasing yield (Sarita et al, 2022). While the literature relies on mean values, the simulation additionally can decompose these mean values to single specific plants at specific positions.…”

Section: Model Applicationssupporting

confidence: 80%

Modelling individual plants’ growth: competition of Viola arvensis and wheat

von Redwitz,

Lepke,

Richter

2024

Front. Agron.

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IntroductionCompetition by weeds is a severe threat to agricultural crops. While these days the broadcast of herbicides over the entire field is common praxis, new technologies promise to reduce chemical output by reducing the area sprayed. The maximum precision would be a single plant treatment. This precision will allow a single plant management, which requires single plant management decisions, which is far beyond the possibilities of current praxis. A plant specific management decision can only be made on the basis of a model simulation.Materials and methodsA simulation model was developed to evaluate the effect of spatially explicit weed management covering interaction between single plants. The governing equations consist of coupled nonlinear differential equations for growth and competition of crop and weed plants in a spatial setting i.e. a coordinate is assigned to each plant. The mutual interaction is determined by the parameters strength and range of competition. Furthermore, an experiment was carried out parallel to the development of the model involving wheat and Viola arvensis (Murr.), in which coordinates and growth curves for a large number of plants (~600) were recorded allowing for a reasonable parameterization of the model.Results and discussionThe model is able to evaluate spatially explicit management measures such as weed strip control based on the height growth of single plants. The model is capable of evaluating a variety of control measures such as the frequency and spatial allocation of treatments. In particular, the effect of the width of a treatment zone around the rows of the crop was simulated.ConclusionIn future, the developed model could be extended to a decision support system for single plant weed management. Making decisions plant-by-plant, allows to orchestrate the weed management in a way that takes into account competing goals in plant protection: yield and biodiversity.

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A study of wheat-weed response and economical analysis to fertilization and post-emergence herbicides under arid climatic conditions

Cited by 2 publications

References 42 publications

Efficacy of clodinafop propargyl alone and its compatibility with other herbicides on weed indices and productivity of wheat (Triticum aestivum L.)

Efficacy of clodinafop propargyl alone and its compatibility with other herbicides on weed indices and productivity of wheat (Triticum aestivum L.)

Modelling individual plants’ growth: competition of Viola arvensis and wheat

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