RECIPROCAL EFFECT ON EAR TIP FILLING AND DIVERSITY OF AGRONOMIC TRAITS IN F1 AND F1R MAIZE GENOTYPES BASED ON MULTIVARIATE ANALYSIS
Keywords:
agronomic diversity, ear tip filling, hierarchical clustering, principal component analysis, reciprocal crossAbstract
The performance of maize in reciprocal crosses can be altered because the female parent supplies maternal tissues, cytoplasmic inheritance and the physiological environment for kernel development. The objective of this study was to examine agronomic variation and the association of crossing direction and ear-tip filling in direct (F1) and reciprocal (F1R) maize hybrids. The study was carried out in Randuaguang Village, Lumajang, East Java, Indonesia in March to June 2025. Twenty genotypes of 10 pairs of F1 - F1R were evaluated using randomized complete block design with three replications. Eleven agronomic traits were standardized and subjected to principal component analysis (PCA) and Ward’s hierarchical clustering based on Euclidean distances. The first four principal components accounted for 72.4 % of the total variation, with PC1, PC2, PC3 and PC4 accounting for 27.8 %, 21.3 %, 12.2 % and 11.1 %, respectively. Cluster analysis separated the genotypes into four groups. Cluster 3 contained six F1R genotypes and one F1 genotype and had the longest mean unfilled ear-tip section (1.72 cm), whereas Cluster 2 comprised five F1 and three F1R genotypes and had a shorter mean value (0.52 cm). F1-G8 formed a single-genotype cluster and combined the highest ear weight (288.0 g) and kernel weight (138.0 g) with the shortest unfilled ear-tip length (0.17 cm). The results indicate that crossing direction was associated with multivariate agronomic variation, although the response differed among parental combinations. F1-G8 is therefore a promising candidate for further evaluation, while direct statistical comparisons and multi-environment testing are required to confirm reciprocal effects and performance stability.
References
Begcy, K., Nosenko, T., Zhou, L.-Z., Fragner, L., Weckwerth, W., & Dresselhaus, T. (2019). Male sterility in maize after transient heat stress during the tetrad stage of pollen development. Plant Physiology, 181(2), 683–700. https://doi.org/10.1104/pp.19.00707
John, B. A., Kachapur, R. M., Naidu, G., Talekar, S. C., Rashid, Z., Vivek, B. S., Patne, N., Salakinkop, S. R., & GU, P. (2024). Maternal effects, reciprocal differences and combining ability study for yield and its component traits in maize (Zea mays L.) through modified diallel analysis. PeerJ, 12, e17600. https://doi.org/10.7717/peerj.17600
Kovačević, A., Pavlov, J., Stevanović, M., Grčić, N., Mladenović, M., Delić, N., & Anđelković, V. (2022). Effects of reciprocal crosses on grain yield and other agronomic traits in maize. Genetika, 54(3), 1365–1374. https://doi.org/10.2298/GENSR2203365K
Lever, J., Krzywinski, M., & Altman, N. (2017). Principal component analysis. Nature Methods, 14, 641–642. https://doi.org/10.1038/nmeth.4346
Li, T., Wang, S., Liu, Q., Zhang, X., Chen, L., Chen, Y., Gao, W., & Sui, P. (2026). Effects of changing assimilate supply on starch synthesis in maize kernels under high temperature stress. Journal of Integrative Agriculture. https://doi.org/10.1016/j.jia.2024.08.002
Liu, D., Zhang, W., Liu, Y., Chen, X., & Zou, C. (2020). Soil application of zinc fertilizer increases maize yield by enhancing the kernel number and kernel weight of inferior grains. Frontiers in Plant Science, 11, 188. https://doi.org/10.3389/fpls.2020.00188
Liu, Q., Wang, X., Wu, Y., Lan, T., Liu, F., Wei, G., Lv, C., Kong, F., & Yuan, J. (2024). Improved yield by optimizing carbon, nitrogen metabolism and hormone balance in apical kernels under low nitrogen conditions using the low nitrogen-tolerant maize variety. Field Crops Research, 310, 109358. https://doi.org/10.1016/j.fcr.2024.109358
Nagesh, P., Takalkar, S. A., Mohan, S. M., Naidu, P. B., Kanawade, D. G., Mandal, S. S., & Vivek, B. S. (2024). Does “swapping” maize (Zea mays L.) inbred parents affect hybrid grain yield? A seed production research case study. Frontiers in Plant Science, 15, 1501163. https://doi.org/10.3389/fpls.2024.1501163
Olivoto, T., & Nardino, M. (2021). MGIDI: Toward an effective multivariate selection in biological experiments. Bioinformatics, 37(10), 1383–1389. https://doi.org/10.1093/bioinformatics/btaa981
Santos, J. F., Dirk, L. M. A., Downie, A. B., Sanchez, M. F. G., & Vieira, R. D. (2017). Reciprocal effect of parental lines on the physiological potential and seed composition of corn hybrid seeds. Seed Science Research, 27(3), 206–216. https://doi.org/10.1017/S0960258517000095
Yan, P., Chen, Y., Sui, P., Vogel, A., & Zhang, X. (2018). Effect of maize plant morphology on the formation of apical kernels at different sowing dates and under different plant densities. Field Crops Research, 223, 83–92. https://doi.org/10.1016/j.fcr.2018.04.008