Managing weeds using crop competition in soybean [Glycine max (L.) Merr.]

Datta, Avishek; Ullah, Hayat; Tursun, Nihat; Pornprom, Tosapon; Knežević, Stevan Z.; Chauhan, Bhagirath Singh

doi:10.1016/j.cropro.2016.09.005

Cited by 55 publications

(34 citation statements)

References 116 publications

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“…is a principal oilseed crop that is widely grown worldwide (Kamini, Sharma, & Shrivastava, ). More than 50% of global oilseed production is dependent on soybean (Datta et al., ). Soybean seed oil is an important source of fatty acids for human nutrition and comprises about 18%–21% of common soybean cultivar seeds by weight (Dijkstra, ).…”

Section: Introductionmentioning

confidence: 99%

Meta‐analysis and overview analysis of quantitative trait locis associated with fatty acid content in soybean for candidate gene mining

et al. 2018

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As soybean seed fatty acid content is valued in food, animal feed and some industrial applications, plant breeders continually aim to improve seed fatty acid constituent value. This study analysed 163 original quantitative trait loci (QTLs) related to soybean fatty acid content from databases and references and revealed 43 consensus QTLs. Meta‐analysis using BioMercator ver.2.1 indicated that these were located across 16 linkage groups (LGs) excluding LG D1a, LG C1, LG M and LG H. Moreover, the overview method was used to optimize these QTLs based on statistical analysis. Some valid QTL regions were narrowed down to 0.5 Mb and mapped on the same LGs as the meta‐analysis result. Furthermore, the functions of all genes located in these consensus QTL intervals were predicted and eight candidate genes were identified. KEGG pathway analysis indicated that Glyma.13G127900 and Glyma.18G232000 were involved in the fatty acid synthesis metabolic (pathway ID ko00071, ko00062, ko01040). These results lay a foundation for fine mapping of QTLs related to fatty acid content and marker‐assisted breeding in soybean.

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Section: Introductionmentioning

confidence: 99%

Meta‐analysis and overview analysis of quantitative trait locis associated with fatty acid content in soybean for candidate gene mining

et al. 2018

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“…According Datta et al (2017), the presence of weeds until the critical stage of the soybean can cause reduction of 8 to 55% in productivity. Forte et al (2017), related losses in leaf area and dry mass of the aerial part of the soybean when this was infested with Euphorbia heterophylla and Bidens pilosa because of competition that occurs by the resources light, water and nutrients in the community in which they are inserted.…”

Section: Introductionmentioning

confidence: 99%

Weed management in soybean using burndown herbicides associated to pre-emergent herbicides

Santin¹,

Peruzzo²,

Galon³

et al. 2019

Commun. Plant Sci.

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The soybean crop has been playing a very important role in the agribusiness worldwide, including in Brazil. Among the pests that cause major problems to the crop are the weeds, because they are responsible by the reduction of the productivity and of the grain quality. On the face of it, this work aimed to evaluate the application of burndown herbicides associated to pre-emerging herbicides to the management of the soybean weeds. The experiment was carried out in the field, in area with no soil cover with fallow during the winter, in the randomized block design, with four replicates. The treatments used were: diuron + sulfentrazone (490 + 245), [glyphosate + (diuron + sulfentrazone)-1,440 + (420 + 210)], [glyphosate + (diuron + sulfentrazone)-1,440 + (490 + 245)], glyphosate + 2,4-D (1,440 + 806), glyphosate + diclosulam (1,440 + 25.2), [glyphosate + (imazethapyr + flumioxazin)-1,440 + (100 + 50)], glyphosate + saflufenacil (1,440 + 35), [ammonium-glufosinate + (diuron + sulfentrazone)-400 + 490 + 245 g ha-1 de i.a], and two herbicide-free controls, weedy and weed-free. At the 7, 14, 21 and 28 days after the emergency of the crop (DAE) the variables were evaluated, herbicide phytotoxicity on soybean and the weeds control, Digitaria ciliaris and Urochloa plantaginea. In the soybean harvest, the number of pods per plant was determined, the number of grains per pods, the mass of a thousand grains (g) and the grain productivity (kg ha-1). The phytotoxicity caused by herbicides to the soybean it was not over to 8% in all the evaluations realized. The control of the weeds, D. ciliaris and U. plantaginea were over to 90%, highlighting the effect of the pre-emerging herbicides in the maintaining of the control until the evaluation of the 28 DAE. In general, all the treatments involving the herbicides did not cause changes in the components of soybean crop yield, being statistically equal the weed-free control higher than the weedy control. The soybean presented an increase of 859.48% in grain yield when Digitaria ciliaris and of the Urochloa plantaginea was controlled. Highlighted Conclusions 1. The control of Digitaria ciliaris and Urochloa plantaginea is more efficient with the use of pre-emerging herbicides, mainly diuron + sulfentrazone and imazethapyr + flumioxazin. 2. The toxicity of herbicides to the soybean 'NA 5909' is low, with no visual intoxication symptoms from 28 days after emergency, and do not reduce the crop grain yield. 3. Digitaria ciliaris and Urochloa plantaginea can reduce by up to 88% the soybean grain yield if not controlled. 4. The soybean grain productivity can be increased by 859% when Digitaria ciliaris and Urochloa plantaginea are controlled.

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“…The yield of soybean plants is affected by several factors during its development; one of the main factor is its competition with weeds (Rezvani et al, 2013;Knezevic, 2014;Datta et al, 2017;Gharde et al, 2018). Prolonged interference of weeds in soybean production areas may result in significant yield and quality losses, which depend on the infestation degree, seed bank quality, climatic conditions, and cultural practices used, such as the sowing time (Silva et al, 2008;Matsuo et al, 2015;Zanon et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, phytosociological studies are needed to assess the weed populations in the area of interest. However, soybean crops are sensitive to weed interference, thus, an appropriate manage of weeds is necessary to the development of this crop (Ulloa et al, 2010;Datta et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Weed incidence and sowing time affect soybean development

et al. 2018

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Despite the economic importance of the effects of weeds on the plastochron and emission of nodes of soybean plants, it has not been studied in detail. The aim of this study was to provide information about the effects of weeds on the development of soybean plants by determining the plastochron and number of nodes of soybean plants of different cultivars sown at different times in soils with presence and absence of weeds. A field study was conducted during the 2013/2014 crop season including a phytosociological survey to identify the occurring weeds, and the determination of the plastochron and final number of nodes of soybean plants. Four botanical families of weeds were found infesting the soybean crops. The plastochron and final number of nodes of soybean were influenced by the cultivar, sowing time, and presence of weeds. The plastochron was higher when the plants were grown in the presence weeds due to the higher relative frequency, relative density, relative abundance, and importance value index of the Euphorbia heterophyla, Ipomoea purpurea, and Urochloa plantaginea species, which resulted in a slower development of the soybean plants, and lower number of nodes per plant.

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Managing weeds using crop competition in soybean [Glycine max (L.) Merr.]

Cited by 55 publications

References 116 publications

Meta‐analysis and overview analysis of quantitative trait locis associated with fatty acid content in soybean for candidate gene mining

Meta‐analysis and overview analysis of quantitative trait locis associated with fatty acid content in soybean for candidate gene mining

Weed management in soybean using burndown herbicides associated to pre-emergent herbicides

Weed incidence and sowing time affect soybean development

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