Open Access

Evaluating the Effects of Seeding Rate on Agronomic Traits of 'Katran' Chickpea (Cicer arietinum L.) Using Principal Component Analysis

1 Kahramanmaras Sutcu Imam University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Kahramanmaras
2 Kahramanmaras Sutcu Imam University, Faculty of Agriculture, Department of Field Crops, Kahramanmaras
3 Gaziantep University, Vocational School of Higher Education in Nurdagi, Gaziantep

Abstract

Establishing an optimal plant population is a critical factor for maximizing seed yield in chickpea (Cicer arietinum L.). This study was conducted to determine the influence of six seeding rates (100 to 350 kg ha⁻¹) on yield and its components in the 'Katran' chickpea cultivar and their correlation. A field experiment was carried out during the 2023-2024 growing season in Kahramanmaraş, Türkiye, using a randomized complete block design. Principal Component Analysis (PCA) of seven key agronomic traits revealed that the first three principal components (PCs) accounted for 80.14% of the total variation. PC1, termed "Plant Vigor and Architecture," identified a clear trade-off between vegetative growth (e.g., plant height) and seed size (100-seed weight). PC2, "Pod Set Strategy," was primarily driven by the number of pods per plant. Crucially, PC3, "Yield Realization," was strongly and positively correlated with seed yield, indicated that yield was a distinct trait independent of plant size or pod count. The findings concluded that high seeding rates promoted vegetative growth at the expense of seed size. That optimal yield in 'Katran' chickpea was achieved not by maximizing number of pods per plant, but by balancing plant competition to support a moderate number of well-filled pods per plant.

Keywords

How to Cite

KARA , Z. ., YÜRÜRDURMAZ , C. ., & ÇOKKIZGIN , A. . (2025). Evaluating the Effects of Seeding Rate on Agronomic Traits of ’Katran’ Chickpea (Cicer arietinum L.) Using Principal Component Analysis. ISPEC Journal of Agricultural Sciences, 9(4), 1106–1113. https://doi.org/10.5281/zenodo.17885934

References

📄 Anonymous, 2025. Kahramanmaras Climate Data (1930-2024). (https://www.mgm.gov .tr), (Accessed: 08.02.2025).
📄 Board, J.E., Kamal, M., Harville, B.G., 1992. Temporal importance of greater light interception to increased yield in narrow-row soybean. Agronomy Journal, 84(4): 575-579.
📄 Borrás, L., Slafer, G.A., Otegui, M.E., 2004. Seed dry weight response to source–sink manipulations in wheat, maize and soybean: a quantitative reappraisal. Field Crops Research, 86(2-3): 131-146.
📄 Farshadfar, M., Farshadfar, E., 2008. Genetic variability and path analysis of chickpea (Cicer arientinum L.) landraces and lines. Journal of Applied Sciences, 8(21): 3951-3956.
📄 Gaur, P.M., Jukanti, A.K., Varshney, R.K., 2012. Impact of genomic technologies on chickpea breeding strategies. Agronomy, 2(3): 199-221.