Dataset on the Effects of Genotype, Location, and Planting Season on the Nutritional Composition and the Metabolizable Energy of Maize Hybrids

This study investigated the effects of genotype, location, and planting season on the advanced maize genotypes' proximate composition and metabolizable energy. Twenty-five hybrid maize genotypes and a local variety as control were harvested from five locations 100 days after planting for two seasons. The maize samples were sorted, cleaned and pulverized using a laboratory mill and were analyzed for nutritional compositions, total carbohydrates and metabolizable energy (ME) using standard laboratory methods. Moisture content, ash, fat, and protein had mean±sd 8.97±0.40%, 1.48±0.05%, 4.31±0.19, and 8.88±0.18 %, respectively. ME had a mean±sd of 379.77±2.17kJ while total carbohydrate had values ranging from 74.68 to 77.20%, with an average of 76.68%. Results showed that most of the variations expressed in the proximate compositions of the maize genotypes are not significantly (p>0.05) dependent on the genotypes. In contrast, locations significantly affected the maize genotypes' proximate and metabolizable energy (p0.05) of location by genotype interaction on the proximate and ME of the maize samples. The planting season also exhibited a significant (p<0.001) difference for all the proximate parameters. Fourteen out of the twenty-five maize hybrid genotypes were similar to the local variety in terms of proximate composition and metabolizable energy. Therefore, they could be recommended for advancement in the breeding stages for release for household and industrial uses.

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Creator Alamu, Oladeji
Creator Affiliation International Institute of Tropical Agriculture (IITA)
Creator email o.alamu@cgiar.org
Creator ID Type ORCID
Creator ID 0000-0001-6263-1359
Subject Vocab (AGROVOC/GACS/CAB) Protein,Ash content,Fats,Carbohydrates,Metabolizable Energy,Moisture content,Environment,Seasons,Genetics,Location,Nigeria,Maize,Varieties,Genotypes
Subject(s) Proximate parameters
Publisher International Institute of Tropical Agriculture (IITA)
Contributor Person 1 Busie Maziya-Dixon
Contributor Person 1 Affiliation International Institute of Tropical Agriculture (IITA)
Contributor Person 1 email B.Maziya-Dixon@cgiar.org
Contributor Person 2 Abebe Menkir
Contributor Person 2 Affiliation International Institute of Tropical Agriculture (IITA)
Contributor Person 2 email a.menkir@cgiar.org
Contributor Person 3 Michael Adesokan
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Contributor Project Lead Organisation Center International Institute of Tropical Agriculture (IITA)
Contributor Project Lead Center International Institute of Tropical Agriculture (IITA)
Contributor Initiative/CRP CGIAR Research Program on Agriculture for Nutrition and Health (A4NH)
Contributor Partner Not Applicable
Contributor Donor International Institute of Tropical Agriculture (IITA), Bill and Melinda Gates foundation (BMGF), HarvestPlus
Contributor Project Assessment of the Effects of Genotype, Location, and Planting Season on the Nutritional Composition and the Metabolizable Energy of Advanced Twenty-Five Maize Hybrids
Project ID OPP1178942
Contributor Affiliation International Institute of Tropical Agriculture (IITA)
Open-Access status Open Access
Production Date 2023-05-15
Embargo End Date
Content Type Dataset
File Format csv
Identifier Type DOI
Identifier https://doi.org/10.25502/f0zc-ef81/d
Identifier Citation Alamu, E. O., Menkir, A., Adesokan, M., Fawole, S., & Maziya-Dixon, B. (2022). Assessment of the Effects of Genotype, Location, and Planting Season on the Nutritional Composition and the Metabolizable Energy of Advanced Twenty-Five Maize Hybrids. International Journal of Plant Biology, 13(3), 343–351. https://doi.org/10.3390/ijpb13030028
Source Assessment of the Effects of Genotype, Location, and Planting Season on the Nutritional Composition and the Metabolizable Energy of Advanced Twenty-Five Maize Hybrids
Language English
Relation Not Applicable
Agroecological Zone Semiarid warm tropics
Coverage Region Western Africa
Coverage country Nigeria
Coverage Admin Unit Not Applicable
Coverage Y (Latitude) 9.60004
Coverage X (Longitude) 7.99997
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Contact Alamu, Oladeji; Food Science and Technology, International Institute of Tropical Agriculture (IITA)
Contact Email o.alamu@cgiar.org
Restriction CC-BY 4.0
Email Permission None
Rights CC-BY 4.0