Determining Selected Essential Element and Nutritional Composition of Maize Variety and Soil Fertility Status of Cultivated Land Abala Abay Woreda Wolaita Zone, South Ethiopia

Maize (Zea mays L.) is one of the most widely cultivated cereal crops in the world. The objective of this study was determining the level of essential metal and nutritional composition of maize variety and selected soil fertility status of cultivated land of Abala Abay woreda. The three replicated samples of maize variety (Shone-19, BH540, and BH545) and soil sample were collected from three selected kebel of Abala Abay woreda. The study was conduct at slightly acidic soil, moderate SOC, low to moderate P, high CEC and optimum level of Ca, Mg, K and Na and clay loam textural class. The mean proximate composition of three varieties (BH540, BH545 and Shone-19) was 3.6±0.3% (fat), 1.8±0.1% (fiber), 13.2±1.3% (moisture), 1.14±0.1% (ash), 7.65%±0.5 (protein), 72.5±1.7 kca (carbohydrate) and 353.3 kcal±4 (energy). In current studies, the average selected macro and micro essential metal for three maize varieties ranges 38.3±3.7 mg/kg (Fe), 34.5±1.6 mg/kg (Zn), 0.5±0.03 mg/kg (Co), 3.4±0.22 mg/kg (Mn) for micro essential metal, and 588±26.9 mg/kg (Ca), 496 ±22.8 mg/kg (Mg), 799 ±26.3 mg/kg (K), and 162±4.1 mg/kg (Na) for selected macro essential metal. The level of essential metal and nutritional composition of Shone-19, BH540 and BH545 were optimum compared to standard limit of FAO at 2011. From this studied of maize varieties, Shone-19 variety was more preferable for consumption than BH540 and BH545 varieties because of better nutrition composition value and metals concentration.

Authors

Institutions

Publication Details

Journal
EJSMT
Published
2025-05-29
DOI
https://doi.org/10.59324/ejsmt.2025.1(1).04
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determining Selected Essential Element and Nutritional Composition of Maize Variety and Soil Fertility Status of Cultivated Land Abala Abay Woreda Wolaita Zone, South Ethiopia

Tsadik Tadele, Zerihun Achiso
EJSMT
Heavy metals in environment
article

Determining Selected Essential Element and Nutritional Composition of Maize Variety and Soil Fertility Status of Cultivated Land Abala Abay Woreda Wolaita Zone, South Ethiopia

Tsadik Tadele, Zerihun Achiso
article en

Abstract

Maize (Zea mays L.) is one of the most widely cultivated cereal crops in the world. The objective of this study was determining the level of essential metal and nutritional composition of maize variety and selected soil fertility status of cultivated land of Abala Abay woreda. The three replicated samples of maize variety (Shone-19, BH540, and BH545) and soil sample were collected from three selected kebel of Abala Abay woreda. The study was conduct at slightly acidic soil, moderate SOC, low to moderate P, high CEC and optimum level of Ca, Mg, K and Na and clay loam textural class. The mean proximate composition of three varieties (BH540, BH545 and Shone-19) was 3.6±0.3% (fat), 1.8±0.1% (fiber), 13.2±1.3% (moisture), 1.14±0.1% (ash), 7.65%±0.5 (protein), 72.5±1.7 kca (carbohydrate) and 353.3 kcal±4 (energy). In current studies, the average selected macro and micro essential metal for three maize varieties ranges 38.3±3.7 mg/kg (Fe), 34.5±1.6 mg/kg (Zn), 0.5±0.03 mg/kg (Co), 3.4±0.22 mg/kg (Mn) for micro essential metal, and 588±26.9 mg/kg (Ca), 496 ±22.8 mg/kg (Mg), 799 ±26.3 mg/kg (K), and 162±4.1 mg/kg (Na) for selected macro essential metal. The level of essential metal and nutritional composition of Shone-19, BH540 and BH545 were optimum compared to standard limit of FAO at 2011. From this studied of maize varieties, Shone-19 variety was more preferable for consumption than BH540 and BH545 varieties because of better nutrition composition value and metals concentration.

EJSMTVol. 1(1)
Hawassa University (ET), Soil Conservation and Watershed Management Research (IR)
Openalex Percentile: Top 91%
Heavy metals in environment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.