Accumulation of Heavy Metals in Soil and Maize Plant (Zea mays) in the Vicinity of Two Government Approved Dumpsites in Benin City, Nigeria

2017 ◽  
Vol 3 (3) ◽  
pp. 1-9 ◽  
Author(s):  
N Oladejo ◽  
B Anegbe ◽  
O Adeniyi
Keyword(s):  
Heavy Metals ◽  
Zea Mays ◽  
Maize Plant ◽  
Benin City

scholarly journals Chemical residuality in maize (Zea mays L.) fields irrigated with deep well water

2018 ◽  
Vol 5 (13) ◽  
pp. 111
Author(s):  
Ma. Elizabeth Azpilcueta-Pérez ◽  
Aurelio Pedroza Sandoval ◽  
Ricardo Trejo-Calzada ◽  
Ignacio Sanchez-Cohen ◽  
María Del Rosario Jacobo-Salcedo
Keyword(s):  
Heavy Metals ◽  
Zea Mays ◽  
Zea Mays L ◽  
Residual Analysis ◽  
Maize Plant ◽  
Well Water ◽  
Deep Well ◽  
Fodder Production ◽  
Heavy Metals And Arsenic

The aim was to conduct a residual analysis of the main cationic elements, heavy metals and arsenic in irrigated maize fodder production. Four soil and maize plant samplings were conducted in eight sites in April, May, June and July, 2014. Ca, Na, As, and Pb concentrations were higher in the soil. The As concentration was higher in June and July. La Purísima had a higher As concentration, while Bermejillo, La Galicia and La Rosita had a higher Ca concentration. K, Ca, Pb and Zn had higher concentrations in the maize plant, with Ca, Na and K having highervalues in July and Mg, Pb and Zn being higher in May and July. The content of Ca, Mg, Na and K did not dier among regions; arsenic was higher in Leon Guzmán and La Rosita.

scholarly journals The Species Composition and Seasonal Dynamics of Thrips (Thysanoptera) Populations on Maize (Zea Mays L.) in Southeastern Poland

2011 ◽  
Vol 51 (3) ◽  
pp. 210-216 ◽  
Author(s):  
Halina Kucharczyk ◽  
Paweł Bereś ◽  
Zbigniew Dąbrowski
Keyword(s):  
Zea Mays ◽  
Species Composition ◽  
Seasonal Dynamics ◽  
Food Source ◽  
Zea Mays L ◽  
Maize Plant ◽  
Seasonal Abundance ◽  
Immature Stages ◽  
Thrips Species

The Species Composition and Seasonal Dynamics of Thrips (Thysanoptera) Populations on Maize (Zea MaysL.) in Southeastern PolandThrips species composition and seasonal abundance was studied on maize crops during two seasons (2006-2007), in southeastern Poland. Altogether 21 species have been identified, among themFrankliniella tenuicornis(Uzel 1895) andHaplothrips aculeatus(Fabricius 1803) which are a graminicolous species and were eudominants, comprising 96.8% in 2006 and 82.0% in 2007 of all collected specimens. Other species occurred only in low numbers. The frequent and numerous presence ofF. tenuicornisspecies in their immature stages in the samples, confirmed the role of the maize plant as the host.H. aculeatusprobably chose maize as a food source and substitute plant for breeding.

scholarly journals Investigation of Heavy Metals Level in selected Boreholes around the Vicinity of some Cemeteries in Benin City, Nigeria

2021 ◽  
Vol 25 (5) ◽  
pp. 841-845
Author(s):  
C.A.E. Ibhadode ◽  
I.R. Ilaboya
Keyword(s):  
Heavy Metals ◽  
Pollution Index ◽  
Mean Value ◽  
Dry Season ◽  
Wet Season ◽  
Monthly Basis ◽  
Benin City ◽  
Standard Procedures ◽  
The Mean ◽  
Mean Concentration

Groundwater pollution by heavy metals such as lead, copper, nickel and iron is one of the major environmental issues of concern which has developed into a widely studied area. In this study, attempt was made to investigate the level of heavy metals in selected boreholes around the vicinity of cemeteries in Benin City. Seventy-two (72) samples of groundwater were taken from boreholes in 9 stations around the three cemeteries in Benin City on monthly basis. The samples were analysed for 7 heavy metals, in accordance with standard procedures. The heavy metals include; Zinc, Lead Iron, Copper, Cadmium, Nickel and Mercury. From the results of the study, a variation in the mean concentration of zinc was observed. The mean concentration of zinc in site 1 was 0.450mg/l, for site 2, it was 0.140mg/l and for site 3, it was 1.0533mg/l. For iron, mean concentration was 0.072mg/l in site 1. For site 2, mean concentration of iron was 2.140mg/l and for site 3, mean concentration of iron was 0.560mg/l. It was further revealed based on the results that mean value of heavy metals in groundwater around cemeteries in Benin City were generally lower during dry season compared to wet season. In addition, result of computed pollution index (Pi) revealed that the heavy metal with the highest potential to pollute groundwater is Cadmium, with Pi of 0.5333 and 0.400 representing dry season and wet season respectively.

scholarly journals Phytoremediation with corn (Zea mays L.) and Stevia compost on soils degraded by contamination with heavy metals

2018 ◽  
Vol 9 (4) ◽  
pp. 551-560 ◽  
Author(s):  
Rubén Munive ◽  
Oscar Loli ◽  
Andrés Azabache ◽  
Gilberto Gamarra
Keyword(s):  
Heavy Metals ◽  
Zea Mays ◽  
Zea Mays L

scholarly journals Salinity types and level-based effects on the growth, physiology and nutrient contents of maize (Zea mays)

2019 ◽  
Vol 14 (4) ◽  
pp. 199-207 ◽  
Author(s):  
Haroon Shahzad ◽  
Sami Ullah ◽  
Muhammad Iqbal ◽  
Hafiz Muhammad Bilal ◽  
Ghulam Mustafa Shah ◽  
...  
Keyword(s):  
Zea Mays ◽  
Salt Stress ◽  
Seed Germination ◽  
Sodium Salt ◽  
Negative Impact ◽  
Maize Plant ◽  
High Accumulation ◽  
Nutrient Contents ◽  
Growth Physiology ◽  
Climatic Regions

Salinity is a devastating problem of arid and semi-arid climatic regions with uneven salt accumulation which hinders growth and development of crops. The deleterious effects of salinity mainly depend on level and source of salinity. We hypothesized that types of sodium salt (NaCl and Na2SO4) might cause variable toxicity in maize (Zea mays L.) plants. The objective of the present study was to compare the effect of different types of sodium salt (NaCl and Na2SO4), each at EC 5 and 10 dS m–1 on growth, physiology and nutrient contents of maize plant grown in earthen pots under wire house conditions. Results revealed toxic effects of salt stress on seed germination, root and shoot growth and biomass. Maize physiology in terms of sub-stomatal CO2 index, chlorophyll and relative water contents, photosynthetic and transpiration rate also reduced under salt stress. Among the types of salt and levels of salinity, NaCl applied at the rate of 10 dS m–1 caused the highest reduction in seed germination, growth and physiology due to high accumulation of Na and Cl ions whereas low in K ion in maize plant tissues. Based on the findings, we do conclude that NaCl applied at the rate of 10 dS m–1 has more negative impact on maize growth and nutrient acquisition than Na2SO4 at same level of salinity.

scholarly journals Maize Plant Desease Identification (Zea Mays L. Saccharata) Using Image Processing and K-Nearest Neighbor (K-Nn)

2018 ◽  
Vol 7 (3.20) ◽  
pp. 402
Author(s):  
Prihastuti Harsan ◽  
Arie Qurania ◽  
Karina Damayanti
Keyword(s):  
Image Processing ◽  
Zea Mays ◽  
Digital Image Processing ◽  
Digital Image ◽  
Plant Disease ◽  
Zea Mays L ◽  
Maize Plant ◽  
Computer Algorithms ◽  
K Nearest Neighbor ◽  
Plant Pests

Plant pests of maize are known to attack in all phases of corn plant growth (Zea mays L. saccharata), both vegetative and generative. Common pests found in maize are seed flies (Atherigona sp.), Stem borers (Ostrinia furnacalis), Boricoverpa armigera, leaf-eaters (Spodoptera litura). The process of identification of maize plant disease is done through laboratory analysis and direct observation. The time required to obtain the identification result is 4 (four) months. Plant pests will attack some parts of the plant, including leaves, stems and fruit. Early detection is usually done through leaves. Plant pests will attack the plant leaf area with certain characteristics. Digital image processing is the use of computer algorithms to perform image processing on digital images. Identification of maize plant disease can apply image processing techniques through the characteristics or symptoms of disease raised on the leaves. Characteristic of attacks by pests in maize plants can be detected through the colors and patterns that appear on the leaves. This research performs implementation of digital image processing method to identify disease in maize plant caused by pest. The disease is Hawar Leaf, Bulai (Downy Midew), Hama Grasshopper, Leaf Spot (Sourthern Leaf Blight). Through color and edge detection, the accuracy obtained is 91.7%. 

Sign in / Sign up

Export Citation Format

Share Document