Meizhen Song

Dr. Meizhen Song


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 September 2015 in Journal of Integrative Agriculture
Verified
Journal Article
Open access
MSMeizhen Song
Meizhen Song
HWHanwen Wu
Hanwen Wu
WJWei-Li Jiang
Wei-Li Jiang
YMYa-Jie Ma
Ya-Jie Ma
MYMa Yan
Ma Yan
Goosegrass is one of the worst agricultural weeds on a worldwide basis. Understanding of its interference impact in crop field will provide useful information for weed control programs. Field experiments were conducted during 2010–2012 to determine the influence of goosegrass density on cotton growth at the weed densities of 0, 0.125, 0.25, 0.5, 1, 2, and 4 plants m−1 of row. Seed cotton yield tended to decrease with the increase in weed density, and goosegrass at a density of 4 plants m−1 of row significantly reduced cotton yields by 20 to 27%. A density of 11.6–19.2 goosegrass plant m−1 of row would result in a 50% cotton yield loss from the maximum yield according to the hyperbolic decay regression model. Boll production was not affected in the early growing season. But boll numbers per plant were reduced about 25% at the density of 4 plants m−1 of row in the late growing season. Both cotton boll weight and seed numbers per boll were significantly reduced (8%) at 4 goosegrass plants m−1 of row. Cotton plant height, stem diameter and sympodial branch number were not affected as much as cotton yields by goosegrass competition. Seed index, lint percentage and lint fiber properties were unaffected by weed competition. Intraspecific competition resulted in density-dependent effects on weed biomass per plant, 142–387 g dry weight by harvest. Goosegrass biomass m−2 tended to increase with increasing weed density as indicated by a quadratic response. The adverse impact of goosegrass on cotton yield identified in this study has indicated the need of effective goosegrass management.

26 June 2023 in Ecotoxicology and Environmental Safety
Verified
Journal Article
Open access
CWChangcai Wu
Changcai Wu
XSXianpeng Song
Xianpeng Song
DWDan Wang
Dan Wang
YMYajie Ma
Yajie Ma
XRXiangliang Ren
Xiangliang Ren
MYMa Yan
Ma Yan
Heavy metals (HMs) and microplastics (MPs) are two emerging factors threatening global food security. Whether long-term MPs pollution will affect the distribution of HMs and their resistance genes (MRGs) in soil is unknown. Here, metagenomic approach was used to decipher the fate of MRGs in cropland soils with long-term film MPs residues. Similar distribution pattern of MRGs was formed in long-term film MPs contaminated soil. A total of 202 MRG subtypes were detected, with resistance genes for Multimetal, Cu, and As being the most prevalent type of MRGs. MRGs formed a modular distribution of five clusters centered on MRGs including ruvB in long-term film MPs contaminated soil. MRGs also formed tight co-occurrence networks with mobile genetic elements (MGEs: integrons, insertions and plasmids). Redundancy analysis showed that HMs together with microbial communities and MGEs affected the distribution of MRGs in soil. Thirteen genera including Pseudomonas were identified as potential hosts for MRGs and MGEs. The research provides preliminary progress on the synergistic effect of HMs and MPs in affecting soil ecological security. The synergistic effect of MPs and HMs needs to be considered in the remediation of contaminated soils.

9 June 2015 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MSMeizhen Song
Meizhen Song
HWHanwen Wu
Hanwen Wu
WJWeili Jiang
Weili Jiang
YMYajie Ma
Yajie Ma
MYMa Yan
Ma Yan
Redroot pigweed is one of the injurious agricultural weeds on a worldwide basis. Understanding of its interference impact in crop field will provide useful information for weed control programs. The effects of redroot pigweed on cotton at densities of 0, 0.125, 0.25, 0.5, 1, 2, 4, and 8 plants m-1 of row were evaluated in field experiments conducted in 2013 and 2014 at Institute of Cotton Research, CAAS in China. Redroot pigweed remained taller and thicker than cotton and heavily shaded cotton throughout the growing season. Both cotton height and stem diameter reduced with increasing redroot pigweed density. Moreover, the interference of redroot pigweed resulted in a delay in cotton maturity especially at the densities of 1 to 8 weed plants m-1 of row, and cotton boll weight and seed numbers per boll were reduced. The relationship between redroot pigweed density and seed cotton yield was described by the hyperbolic decay regression model, which estimated that a density of 0.20–0.33 weed plant m-1 of row would result in a 50% seed cotton yield loss from the maximum yield. Redroot pigweed seed production per plant or per square meter was indicated by logarithmic response. At a density of 1 plant m-1 of cotton row, redroot pigweed produced about 626,000 seeds m-2. Intraspecific competition resulted in density-dependent effects on weed biomass per plant, a range of 430–2,250 g dry weight by harvest. Redroot pigweed biomass ha-1 tended to increase with increasing weed density as indicated by a logarithmic response. Fiber quality was not significantly influenced by weed density when analyzed over two years; however, the fiber length uniformity and micronaire were adversely affected at density of 1 weed plant m-1 of row in 2014. The adverse impact of redroot pigweed on cotton growth and development identified in this study has indicated the need of effective redroot pigweed management.

18 July 2022 in Pesticide Biochemistry and Physiology
Verified
Journal Article
Closed access
ZZZhixian Zhang
Zhixian Zhang
XSXianpeng Song
Xianpeng Song
HHHongyan Hu
Hongyan Hu
DWDan Wang
Dan Wang
JCJixiang Chen
Jixiang Chen
MYMa Yan
Ma Yan

8 June 2022 in Toxics
Verified
Journal Article
Open access
PDF file
YSYue Su
Yue Su
XRXiangliang Ren
Xiangliang Ren
MSMeizhen Song
Meizhen Song
DWDan Wang
Dan Wang
HHHu Hongyan
Hu Hongyan
Yongsheng YaoYongsheng Yao
Yongsheng Yao
Neonicotinoid insecticides affect the physiology or behavior of insects, posing risks to non-target organisms. In this study, the effects of sublethal doses of two neonicotinoid insecticides, acetamiprid and dinotefuran, against Chrysopa pallens (Rambur) (Neuroptera: Chrysopidae) were determined and compared. The results showed that acetamiprid and dinotefuran at LD10 (8.18 ng a.i. per insect and 9.36 ng a.i. per insect, respectively) and LD30 (16.84 ng a.i. per insect and 15.01 ng a.i. per insect, respectively) significantly prolonged the larval stages and pupal stages (except acetamiprid LD10), compared to control. In addition, acetamiprid and dinotefuran at LD30 significantly prolonged the adult preoviposition period (APOP) and total preoviposition period (TPOP). In contrast, the two insecticides at LD10 and LD30 had no significant effect on the longevity, fecundity, reproductive days, preadult survival rate (%), intrinsic rate of increase (r), net reproductive rate (R0), and finite rate of increase (λ). These results provide a theoretical basis for the rational use of these two insecticides and the utilization and protection of C. pallens.

1 March 2016 in Weed Technology
Verified
Journal Article
Closed access
MSMeizhen Song
Meizhen Song
JYJinyan Yang
Jinyan Yang
HWHanwen Wu
Hanwen Wu
WJWeili Jiang
Weili Jiang
YMYajie Ma
Yajie Ma
YMYan Ma
Yan Ma
Field experiments were conducted in 2013 and 2014 to determine the influence of velvetleaf densities of 0, 0.125, 0.25, 0.5, 1, 2, 4, and 8 plants m−1of row on cotton growth and yield. The relationship between velvetleaf density and seed cotton yield was described by the hyperbolic decay regression model, which estimated that a density of 0.44 to 0.48 velvetleaf m−1of row would result in a seed cotton yield loss of 50%. Velvetleaf remained taller and thicker than cotton throughout the growing season. Both cotton height and stem diameter reduced with increasing velvetleaf density. Moreover, velvetleaf interference delayed cotton maturity, especially at velvetleaf densities of 1 to 8 plants m−1of row, and cotton boll number and weight, seed numbers per boll, and lint percentage were also reduced. Fiber quality was not influenced by weed density when analyzed over 2 yr; however, fiber length uniformity and micronaire were adversely affected in 2014. Velvetleaf intraspecific competition resulted in density-dependent effects on weed biomass, ranging from 97 to 204 g plant−1dry weight. Velvetleaf seed production per plant or per square meter was indicated by a logarithmic response. At a density of 1 plant m−1of cotton row, velvetleaf produced approximately 20,000 seeds m−2. The adverse impact of velvetleaf on cotton growth and development identified in this study have indicated the need for effective management of this species when the weed density is greater than 0.25 to 0.5 plant m−1of row and before the weed seed maturity.