Greenhouse and field evaluation of the novel herbicide QYC101 for weed control in maize (Zea mays L.) in China

Wang, Hengzhi; Huang, Yizhao; Zhao, Kongping; Liu, Weitang

doi:10.1016/j.cropro.2019.04.012

Cited by 16 publications

(13 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Solanum nigrum L. (black nightshade, Solanaceae) is an annual to short-lived perennial weed and widely distributed throughout the world (Defelice, 2003). It is considered troublesome in various crops including: cotton (Gossypium hirsutum L.) (Tursun et al, 2016); maize (Zea mays L.) (Wang et al, 2019); and grapes (Vitis vinifera L.) (Shrestha and Fidelibus, 2005); and causes yield losses, and a reduction in crop quality and value due to its easily crushed berries (Ogg and Rogers, 1989). In contrast, this plant can be beneficial to people (Defelice, 2003) and it has a long history of medicinal usage, dating back to ancient Greece and China (Miraj, 2016).…”

Section: Introductionmentioning

confidence: 99%

Germination of Solanum nigrum L. (Black Nightshade) in Response to Different Abiotic Factors

Dong

et al. 2020

Planta daninha

View full text Add to dashboard Cite

ABSTRACT: Solanum nigrum L. (black nightshade), an annual to short-lived perennial weed, has become a problem weed in farming systems in central China. Laboratory and greenhouse experiments were conducted to examine the influence of various abiotic factors on seed germination of black nightshade to develop effective weed control programs. Seeds germinated at a range of constant temperatures from 15 to 30 oC, but no germination occurred at temperatures below 10 oC or above 35 oC. Seeds also germinated at alternating temperature regimes from 15/5 to 40/30 oC, with maximum germination (> 93.5%) at the alternating temperatures of 25/15 and 30/20 oC. Germination decreased as osmotic potential became more negative, and no germination was observed at ≤ -0.8 MPa. Moreover, germination was reduced by saline and alkaline stresses and no germination occurred at ≥ 200 mM NaCl or ≥ 150 mM NaHCO3 concentrations. Seed germination was not significantly affected by pH values from 5 to 10. Seedling emergence was significantly affected by burial depth with maximum emergence (93.1%) at 1 cm depth.

show abstract

Section: Introductionmentioning

confidence: 99%

Germination of Solanum nigrum L. (Black Nightshade) in Response to Different Abiotic Factors

Dong

et al. 2020

Planta daninha

View full text Add to dashboard Cite

show abstract

“…Some authors only report the regression parameters, ED 50 values, and relative potencies without SE or any post hoc analysis aimed at comparing the parameters across groups 13,20,24,26–29 . For example, the SEs for the estimated ED 90 values of pyroxasulfone and s‐metolachlor were not reported, nor were any statistical tests provided for comparison of the ED 90 values across treatments 29 .…”

Section: Common Errorsmentioning

confidence: 99%

“…3.5 Error #3: Reporting RI and ED 50 without standard error Some authors only report the regression parameters, ED 50 values, and relative potencies without SE or any post hoc analysis aimed at comparing the parameters across groups. 13,20,24,[26][27][28][29] For example, the SEs for the estimated ED 90 values of pyroxasulfone and s-metolachlor were not reported, nor were any statistical tests provided for comparison of the ED 90 values across treatments. 29 The authors also claimed that the efficacy of pyroxasulfone was around 4-to 11-fold higher than that of s-metolachlor, while no SEs were reported for these RI values to test for statistical significance.…”

Section: Solution To Error #2: Use Absolute Ed 50 Instead Of Relative Ed 50mentioning

confidence: 99%

Perspective: common errors in dose–response analysis and how to avoid them

Keshtkar

Kudsk

Mesgaran

2021

Pest Management Science

View full text Add to dashboard Cite

Dose–response experiments are conducted to determine the toxicity of chemicals on organisms. The relationship between dose and response is described by different statistical models. The four‐parameter log‐logistic model is widely used in pesticide sciences to derive biologically relevant parameters such as ED50 and resistance index (RI). However, there are some common errors associated with the calculation of ED50 and RI that can lead to erroneous conclusions. Here we discuss five common errors and propose guidance to avoid them. We suggest (i) all response curves must be fitted simultaneously to allow for proper comparison of parameters across curves, (ii) in the case of nonparallel curves absolute ED50 must be used instead of relative ED50, (iii) standard errors or confidence intervals of the parameters must be reported, (iv) the e parameter in asymmetrical models is not equal to ED50 and hence absolute ED50 must be estimated, and (v) when the four‐parameter log‐logistic model returns a negative value for the lower asymptote, which is biologically meaningless in most cases, the model should be reduced to its three‐parameter version or other types of model should be applied. The mixed‐effects model and the meta‐analytic approach are suggested as appropriate to average the parameters across repeated dose–response experiments. © 2021 Society of Chemical Industry

show abstract

“…There are many kinds of weeds in corn fields, and gramineous weeds and broad‐leaved weeds are mixed. Once the corn seedling stage is harmed by weeds, the corn yield will be seriously reduced 1,2 . Therefore, weeding in corn fields has been the top priority for ensuring corn yield.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous determination of isoxaflutole and its two metabolites in corn under field conditions by LC–MS/MS

Lan

Sun

et al. 2021

J Sci Food Agric

View full text Add to dashboard Cite

OBJECTIVE An improved QuEChERS method was established and verified for simultaneous determination of isoxaflutole and its metabolites diketonitrile and benzoic acid analogue residues in corn and plants. This method was mainly used to study the digestion rule and final residue level of isoxaflutole and its metabolites in corn and plants. It was hoped that the safe use of isoxaflutole in corn can be achieved eventually. METHOD The method was completed by means of ultra‐performance liquid chromatography with triple quadrupole mass spectrometry. The extraction of the target substance was through acetonitrile solution containing 1% acetic acid, and the purification was through primary secondary amine, octadecylsilane and graphitized carbon black sorbent. RESULTS In the method, the quantitative limits and detection limits of the three analytes were 0.005–0.01 and 0.001–0.003 mg kg−1 respectively. The half‐life of isoxaflutole in the plants in Shandong and Anhui was 36.4 and 42.1 days respectively, and the digestion dynamics all conformed to the first‐order kinetics. The final residues of isoxaflutole in green corn and mature corn were less than 0.02 mg kg−1 of the maximum residue limit set by the Codex Alimentarius Commission. CONCLUSIONS The residual amount of isoxaflutole in corn and plants at harvest time was acceptable when isoxaflutole was applied once at a dose of 121.5 g a.i. ha−1. © 2021 Society of Chemical Industry.

show abstract

Greenhouse and field evaluation of the novel herbicide QYC101 for weed control in maize (Zea mays L.) in China

Cited by 16 publications

References 22 publications

Germination of Solanum nigrum L. (Black Nightshade) in Response to Different Abiotic Factors

Germination of Solanum nigrum L. (Black Nightshade) in Response to Different Abiotic Factors

Perspective: common errors in dose–response analysis and how to avoid them

Simultaneous determination of isoxaflutole and its two metabolites in corn under field conditions by LC–MS/MS

Contact Info

Product

Resources

About