Genetic Diversity of Maize ( Zea mays L.) Landraces from Cameroon and Democratic Republic of Congo Using Phenological, Biometrical and Yield Components
- 1 Laboratory of Genetic and Plant Improvement, Department of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- 2 Department of Plant Biology, Faculty of Science, University of Douala, Douala, Cameroon
- 3 Laboratory of Genetic and Plant Improvement, Department of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- 4 Laboratory of Genetic and Plant Improvement, Department of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- 5 Department of Plant Biology, Faculty of Science, University of Douala, Douala, Cameroon
- 6 Laboratory of Genetic and Plant Improvement, Department of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- 7 Research and Support Centre for Agropastoral Producers in Cameroon (CRAPAC), Yaounde, Cameroon
Abstract
To address the knowledge gap in Cameroonian maize landraces, this study aimed to determine the nature and magnitude of genetic variability, heritability, genetic advance, and principal component analysis of yield-related traits (e.g., yield and yield component traits) in landraces adapted to the Cameroon bimodal rainforest agroecology zone. Twenty traits, including vegetative, phenological, and yield-related traits, were analyzed. Descriptive statistics and the analysis of variance showed significant variability (p < 0.05) among the landraces for most traits. Plant height varied largely, with a mean of 240.39 cm and a CV of 18.49%, while root collar diameter and leaf area showed CVs of 21.26% and 24.88%, respectively. Both male and female at 50% flowering had low CVs, specifically 5.11% and 4.15%, respectively. Plant height, ear height, leaf area, root collar diameter and total number of panicle branches significantly contributed to PC1, indicating their major role in overall morphological diversity. Hierarchical clustering analysis on principal components (HCPC) grouped the 36 landraces into three distinct clusters. Broad-sense heritability ( H ²) ranged from 0.01 for maximum germination time to 0.69 for germination latency time, indicating diverse genetic control in the traits. Multivariate analysis of variance (MANOVA) showed significant differences among landraces when considering all traits simultaneously (Wilks’ Lambda = 1.44e−10, p = 1.595e−06). Shannon-Weaver diversity indices across the 36 landraces ranged from 1.815 to 2.141, indicating varying levels of morphological diversity. Further studies involving biochemical and molecular markers are recommended for deeper characterization.
- Norbert, K.T.W., Patrice, N.D.J., Obougou, E., Gabriel, G., Bekolo, N., Thierry, A.S., Alain, H., Martial, T.T.P. and Zachée, A. (2018) Biosciences and Plant Biology. International Journal of Current Research in Biosciences and Plant Biology , 5, 61-73.
- Jabran, K., Ata, Z. and Farooq, M. (2007) Maize: Cereal with a Variety of Uses. DAWN-Business.
- FAOSTAT (2024) https://www.Fao.Org/Faostat/En/#data/QCL
- Aman, M. (2021) Genetic Variability, Heritability and Association of Quantitative Traits in Maize ( Zea mays L.) Genotypes. Bioinformatics , 25, 534-536.
- Swarup, S., Cargill, E.J., Crosby, K., Flagel, L., Kniskern, J. and Glenn, K.C. (2021) Genetic Diversity Is Indispensable for Plant Breeding to Improve Crops. Crop Science , 61, 839-852. https://doi.org/10.1002/csc2.20377
- Grenier, C., Bramel-Cox, P.J., Noirot, M., Prasada Rao, K.E. and Hamon, P. (2000) Assessment of Genetic Diversity in Three Subsets Constituted from the ICRISAT Sorghum Collection Using Random vs Non-Random Sampling Procedures A. Using Morpho-Agronomical and Passport Data. Theoretical and Applied Genetics , 101, 190-196. https://doi.org/10.1007/s001220051468
- N’Da, H.A., Akanvou, L., Akanvou, R. and Zoro Bi, A. (2014) Evaluation de La Di-versitéagro-Morphologique Des Accessions de Maïs ( Zea mays L.) Collectées En Côte d’Ivoire. Journal of Animal & Plant Sciences , 20, 3144-3158.
- Yadesa, L., Abebe, B. and Tafa, Z. (2022) Genetic Variability, Heritability, Correlation Analysis, Genetic Advance, and Principal Component Analysis of Grain Yield and Yield Related Traits of Quality Protein Maize ( Zea mays L) Inbred Lines Adapted to Mid-Altitude Agroecology of Ethiopia. EAS Journal of Nutrition and Food Sciences , 4, 8-17. https://doi.org/10.36349/easjnfs.2022.v04i01.002
- Magar, B.T., Acharya, S., Gyawali, B., Timilsena, K., Upadhayaya, J. and Shrestha, J. (2021) Genetic Variability and Trait Association in Maize ( Zea mays L.) Varieties for Growth and Yield Traits. Heliyon , 7, e07939. https://doi.org/10.1016/j.heliyon.2021.e07939
- Raman, R.B., Chakraborty, S., Sawarkar, A., Kumar, A., Kumari, J., Kumari, M., et al . (2024) Genetic Diversity Analysis in Maize ( Zea mays L.) Germplasm Based on Yield and Yield Attributing Characters. International Journal of Advanced Biochemistry Research , 8, 1093-1098. https://doi.org/10.33545/26174693.2024.v8.i12sn.3290
- Lv, J., Qi, J., Shi, Q., Shen, D., Zhang, S., Shao, G., et al . (2012) Genetic Diversity and Population Structure of Cucumber ( Cucumis sativus L.). PLOS ONE , 7, e46919. https://doi.org/10.1371/journal.pone.0046919