Maize hybrids’ genetic variability based on qualitative and quantitative traits

Slamet Bambang Priyanto, Herawati Herawati, Suwarti Suwarti, Ayyub Ar Rahman, Nining Nurini Andayani, Abdul Fattah, Muhammad Azrai

Abstract


Genetic variability was a prerequisite to doing a plant breeding program. A broad genetic variability allows plant breeders to select a desired genotype. This research aims to assess the maize hybrid's genetic variability based on qualitative and quantitative traits. This research was conducted in the Bone district, south Sulawesi, from November 2022 to March 2023. Fifteen maize hybrids were arranged in a randomized complete block design with three replications. The variables observed are qualitative and quantitative traits. Principal component (PCA) and cluster analyses assessed the genetic variability. The result indicated that based on a loading factor greater than 0.70, the qualitative traits such as intensity of green color, anthocyanin coloration of brace roots, length of lateral branch, intensity anthocyanin coloration of silk, and degree of zigzag displayed high variability. quantitative like days to anthesis, days to silk, leaf length, 1000 seeds weight, yield, ear diameter, number of row seeds per ear, ear height, ear length, and number of seeds per row also exhibit high variability. Cluster analysis shows a broad genetic variability on qualitative and quantitative traits demonstrated by Euclidean levels 6.68-10.93 and 3.43-5.08, respectively, and generated the dendrogram that divides genotypes into four main clusters for qualitative and five for quantitative traits.


Keywords


genetic variability; maize hybrid; qualitative traits; quantitative traits

Full Text:

PDF

References


Agustina NI, Waluyo B. 2017. Keragaman karakter morfo-agronomi dan keanekaragaman galur- galur cabai besar (Capsicum annuum L.). Jurnal Agro, 4(2): 120–130.

Ahmar S, Gill RA, Jung K, Faheem A, Qasim MU, Mubeen M, Zhou W. 2020. Conventional and molecular techniques from simple breeding to speed breeding in crop plants: Recent advances and future outlook. International Journal of Molecular Sciences, 21(7):1–24.

Alemu YA, Anley AM, Abebe TD. 2020. Genetic variability and association of traits in Ethiopian durum wheat (Triticum turgidium L. var. durum) landraces at Dabat Research Station, North Gondar. Cogent Food and Agriculture, 6(1): 1–21.

Arif T, Chaudhary MT, Majeed S, Rana IA, Ali Z, Elansary HO, Moussa I M, Sun S, Azhar M T. 2023. Exploitation of various physio-morphological and biochemical traits for the identification of drought tolerant genotypes in cotton. BMC Plant Biology, 23(1): 1–10.

Aristya VE, Taryono, Wulandari RA. 2017. Genetic variability, standardized multiple linear regression and principal component analysis to determine some important sesame yield components. Agrivita, 39(1): 83–90.

Ayesiga SB, Rubaihayo P, Oloka BM, Dramadri I, Edema R, Sserumaga JP. 2023. Genetic Variation Among Tropical Maize Inbred Lines from NARS and CGIAR Breeding Programs. Plant Molecular Biology Reporter, 41(2): 209–217.

Bhadmus, OA, Badu-Apraku B, Adeyemo OA, Agre PA, Queen ON, Ogunkanmi AL. 2022. Genome-wide association analysis reveals genetic architecture and candidate genes associated with grain yield and other traits under low soil nitrogen in early-maturing white quality protein maize inbred lines. Genes, 13(5): 1–20.

Bhandari HR, Bhanu AN, Srivastava K, Singh MN, Shreya, Hemantaranjan A. 2017. Assessment of genetic diversity in crop plants - An overview. Advances in Plants Agriculture Research, 7(3): 279–286.

Darrudi R, Nazeri V, Soltani F, Shokrpour M, Ercolano MR. 201. Genetic diversity of Cucurbita pepo L. and Cucurbita moschata Duchesne accessions using fruit and seed quantitative traits. Journal of Applied Research on Medicinal and Aromatic Plants, 8(May 2017): 60–66.

Dudhe MY, Mulpuri S, Meena, HP, Ajjanavara RRG, Kodeboyina VS, Adala VR. 2020. Genetic variability, diversity and identification of trait-specific accessions from the conserved sunflower germplasm for exploitation in the breeding programme. Agricultural Research, 9(1): 9–22.

Erenstein O, Jaleta M, Sonder K, Mottaleb K, Prasanna BM. 2022. Global maize production, consumption and trade: trends and RD implications. Food Security, 14(5): 1295–1319.

Esen S, Okuyucu, B, Koç F, Özdüven ML. 2022. Determination of nutritional quality and aerobic stability of sorghum, maize, and sorghum-maize mixture silages. Journal of Tekirdag Agricultural Faculty, 19(2): 61–69.

Gewers, FL, Ferreira GR, De Arruda, HF, Silva, FN, Comin, CH, Amancio, DR, Costa, LDF. 2021. Principal component analysis: A natural approach to data exploration. ACM Computing Surveys, 54(4).

Han L, Yang G, Dai H, Yang H, Xu B, Li H, Long H, Li Z, Yang X, Zhao C. 2019. Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform. Plant Methods, 15(1): 1–16.

Hefny M.M, Ali AA, Byoumi TY, Al-Ashry M, Okasha, SA. 2017. Classification of genetic diversity for drought tolerance in maize genotypes through principal component analysis. Journal of Agricultural Sciences, 62(3): 213–227.

Huqe, MAS, Haque MS, Sagar A, Uddin MN, Hossain MA, Hossain AKMZ, Rahman MM, Xiukang W, Al‐ashkar I, Ueda A, Sabagh AEL. 2021. Characterization of maize hybrids (Zea mays l.) for detecting salt tolerance based on morpho‐physiological characteristics, ion accumulation and genetic variability at early vegetative stage. Plants, 10(11): 1–20.

IBM. 2015. IBM SPSS Statistics for Windows, Version 23.0. (23.0). IBM Corp.

Jollife, IT, Cadima J. 2016. Principal component analysis: A review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374: 1–16.

Juma I, Geleta M, Hovmalm HP, Nyomora A, Saripella GV, Carlsson AS, Fatih M, Ortiz R. (2021). Comparison of morphological and genetic characteristics of avocados grown in Tanzania. Genes, 12(1): 1–21.

Kaiser HF. 1974. An index of factorial simplicity. Psychometrika, 39(1): 31–36.

Karuniawan A, Wicaksono HN, Ustari D, Setiawati T, Supriatun T. 2017. Identifikasi keragaman genetik plasma nutfah ubi kayu liar (Manihot glaziovii muell) berdasarkan karakter morfo-agronomi. Kultivasi, 16(3): 435–443.

Khan MMH, Rafii MY, Ramlee SI, Jusoh M, Oladosu Y, Al Mamun M, Khaliqi A. 2022. Unveiling genetic diversity, characterization, and selection of Bambara groundnut (Vigna subterranea L. Verdc) genotypes reflecting yield and yield components in Tropical Malaysia. BioMed Research International, 2022.

Kotschi J, Horneburg B. 2018. The open-source seed licence: A novel approach to safeguarding access to plant germplasm. PLoS Biology, 16(10): 1–7.

Lee WJ, Mendis GP, Triebe MJ, Sutherland, JW. 2020. Monitoring of a machining process using kernel principal component analysis and kernel density estimation. Journal of Intelligent Manufacturing, 31(5): 1175–1189.

Leite WdeS, Unêda-Trevisoli SH, da Silva FM, da Silva AJ, Di Mauro AO. 2018. Identification of superior genotypes and soybean traits by multivariate analysis and selection index. Revista Ciencia Agronomica, 49(3): 491–500.

Litrico I, Violle C. 2015. Diversity in plant breeding: A new conceptual framework. Trends in Plant Science, 20(10): 604–613.

Matin MQI, Hossain MG, Khan MAH, Khan MM, Haque MS, Banu MA. 2022. Genetic variability, correlation and path coefficient analysis in hybrid maize (Zea mays L.). Asian Journal of Advances in Agricultural Research, 19(4): 28–35.

Maulana H, Maxiselly Y, Yuwariah Y, Ruswandi D. 2023. Heritability and selection using gge biplots and the sustainability index (SI) of maize mutants under different cropping systems in upland. Sustainability (Switzerland): 15(8).

Mengistu G, Shimelis H, Laing M, Lule D, Mathew I. 2020. Genetic variability among Ethiopian sorghum landrace accessions for major agro-morphological traits and anthracnose resistance. Euphytica, 216(7): 1–15.

Metsalu T, Vilo J. 2015. ClustVis: A web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap. Nucleic Acids Research, 43: 566–570.

Murningsih T, Yulita KS, Bora CY, Arsa IGBA. 2019. Proximate and mineral content of maize landrace (tunu’ ana’) from East Nusa Tenggara. Pros Sem Nas Masy Biodiv Indon, 5(1): 107–111.

Oldeman, LR, Frere M. 1982. Technical Report on a Study of the Agroclimatology of the Humid Tropics of Southeast Asia. Food Agriculture Org.

Pachauri AK, Sarawgi AK, Bhandarkar S, Ojha GC. 2017. Agro-morphological characterization and morphological based genetic diversity analysis of Rice (Oryza sativa L.) germplasm. Journal of Pharmacognosy and Pyhtochemistry, 6(6): 75–80.

Prayudha HN, Noerrizki AM, Maulana H, Ustari D, Rostini N, Karuniawan A. 2019. Keragaman genetik klon ubi jalar ungu berdasarkan karakter morfologi dan agronomi. Buletin Palawija, 17(2): 94–101.

Rai R, Khanal P, Chaudhary P, Dhital R. 2021. Genetic variability, heritability and genetic advance for growth, yield and yield related traits in maize genotypes. Journal of Agriculture and Applied Biology, 2(2): 96–104.

Ravikumar P, Somashekar RK. 2017. Principal component analysis and hydrochemical facies characterization to evaluate groundwater quality in Varahi River basin, Karnataka state, India. Applied Water Science, 7(2): 745–755.

Rohlf JF. 2000. NTSYSpc, Numerical Taxonomy and Multivariate Analysis System Version 2.0 User Guide. In Applied Biostatistics Inc.

Rojas-Valverde D, Pino-Ortega J, Gómez-Carmona CD, Rico-González M. 2020. A systematic review of methods and criteria standard proposal for the use of principal component analysis in team’s sports science. International Journal of Environmental Research and Public Health, 17(23): 1–13.

Rouf Shah T, Prasad K, Kumar P. 2016. Maize-A potential source of human nutrition and health: A review. Cogent Food and Agriculture, 2: 1-9

Saleem MY, Khalid I, Shakeel A, Ayub B. 2023. Evaluation and estimation of genetic divergence of tomato hybrids by using principal component analysis and cluster analysis under high temperature. Trends in Biotechnology and Plant Sciences, 1(1): 84–94.

Sayed MRI, Alshallash KS, Safhi FA, Alatawi A, ALshamrani SM, Dessoky ES, Althobaiti AT, Althaqafi MM, Gharib HS, Shafie WWM, Awad-Allah MMA, Sultan FM. 2022. Genetic diversity, analysis of some agro-morphological and quality traits and utilization of plant resources of alfalfa. Genes, 13(1521): 1–18.

Swarup S, Cargill EJ, Crosby K, Flagel L, Kniskern J, Glenn KC. 2021. Genetic diversity is indispensable for plant breeding to improve crops. Crop Science, 61(2): 839–852.

Torres LG, Caixeta, DG, Rezende WM, Schuster A, Azevedo CF, e Silva FF, DeLima RO. 2019. Genotypic variation and relationships among traits for root morphology in a panel of tropical maize inbred lines under contrasting nitrogen levels. Euphytica, 215(3).




DOI: https://doi.org/10.24198/kultivasi.v23i3.53166

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Jurnal Kultivasi Indexed by:

       width=    

 

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


View Jurnal Kultivasi Stat