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Analysis of Linkage on Interaction of Main Aspects (Genotype by Environment Interaction, Stability and Genetic Parameters) of 1000 Kernels in Maize ( Zea mays L.)

Author

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  • Kamila Nowosad

    (Department of Genetics, Plant Breeding and Seed Production, Wrocław University of Environmental and Life Sciences, Grunwaldzki 24A, 53-363 Wrocław, Poland
    These authors contributed equally to this work.)

  • Jan Bocianowski

    (Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland
    These authors contributed equally to this work.)

  • Farzad Kianersi

    (School of Enviromental Sciences, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada)

  • Alireza Pour-Aboughadareh

    (Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj P.O. Box 3158854119, Iran)

Abstract

The assessment of 1000-kernel weight holds significant importance in determining maize grain yield, and elucidating its underlying genetic mechanisms is imperative for enhancing its overall performance. The material for the study consisted of 26 doubled-haploid (DH) maize lines obtained from crossing two cultivars with flint kernels. Lines were planted in the northern part of the Lower Silesia voivodship in Poland over ten years (2013–2022). The 1000-kernel weight was assessed. The purposes of the research were as follows: (1) to assess genotype by environment interaction (GEI by the additive main effects and multiplicative interaction (AMMI) model; (2) the selection of stable DH lines and environment-specific lines; and (3) the estimation of parameters related to additive and additive–additive gene interaction (epistasis). The results indicate the significant effects of genotype and environment, as well as the GEI, on the 1000-kernel weight. Estimates of additive gene action effects were statistically significant in every year of the study, except 2022. Estimates of epistasis (total additive-by-additive interaction) effects for 1000-kernel weight were statistically significant in 2013, 2015, and 2017 (positive effects), as well as in 2018 and 2020 (negative effects). The lines KN07 and KN10 are recommended for further inclusion in the breeding program due to their stability and highest average of 1000-kernel weight.

Suggested Citation

  • Kamila Nowosad & Jan Bocianowski & Farzad Kianersi & Alireza Pour-Aboughadareh, 2023. "Analysis of Linkage on Interaction of Main Aspects (Genotype by Environment Interaction, Stability and Genetic Parameters) of 1000 Kernels in Maize ( Zea mays L.)," Agriculture, MDPI, vol. 13(10), pages 1-17, October.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:2005-:d:1260305
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    1. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Constantinos G. Ipsilandis, 2021. "Estimations on Trait Stability of Maize Genotypes," Agriculture, MDPI, vol. 11(10), pages 1-16, September.
    2. Harry Gollob, 1968. "A statistical model which combines features of factor analytic and analysis of variance techniques," Psychometrika, Springer;The Psychometric Society, vol. 33(1), pages 73-115, March.
    3. Jacques Fils Pierre & Luis Latournerie-Moreno & René Garruña & Krista L. Jacobsen & Carrie A. M. Laboski & Roberth Us-Santamaría & Esaú Ruiz-Sánchez, 2022. "Effect of Maize–Legume Intercropping on Maize Physio-Agronomic Parameters and Beneficial Insect Abundance," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    4. Li, Xiao-Yan & Gong, Jia-Dong, 2002. "Effects of different ridge:furrow ratios and supplemental irrigation on crop production in ridge and furrow rainfall harvesting system with mulches," Agricultural Water Management, Elsevier, vol. 54(3), pages 243-254, April.
    5. Heena Panchasara & Nahidul Hoque Samrat & Nahina Islam, 2021. "Greenhouse Gas Emissions Trends and Mitigation Measures in Australian Agriculture Sector—A Review," Agriculture, MDPI, vol. 11(2), pages 1-16, January.
    6. Quintero, J.A. & Montoya, M.I. & Sánchez, O.J. & Giraldo, O.H. & Cardona, C.A., 2008. "Fuel ethanol production from sugarcane and corn: Comparative analysis for a Colombian case," Energy, Elsevier, vol. 33(3), pages 385-399.
    7. Felten, Daniel & Fröba, Norbert & Fries, Jérôme & Emmerling, Christoph, 2013. "Energy balances and greenhouse gas-mitigation potentials of bioenergy cropping systems (Miscanthus, rapeseed, and maize) based on farming conditions in Western Germany," Renewable Energy, Elsevier, vol. 55(C), pages 160-174.
    8. Olaf Erenstein & Moti Jaleta & Kai Sonder & Khondoker Mottaleb & B.M. Prasanna, 2022. "Global maize production, consumption and trade: trends and R&D implications," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1295-1319, October.
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