Mean Performance of Field pea (Pisum sativum L) Advanced Genotypes for Yield and Yield-related Traits in Arsi Zone, Ethiopia
DOI:
https://doi.org/10.24925/turjaf.v12is1.2009-2014.6919Keywords:
Field pea, Environment, Genotype, Genotype by Environment Interaction, MeanAbstract
Pea (Pisum sativum L.) is the second most important cool-season food legume in Ethiopia after faba bean, both in terms of production area and annual yield. The study comprises 13 advanced field pea genotypes that were evaluated in a randomized complete block design with four replications across four different environments during two consecutive main cropping seasons (2020–2021). The primary objectives were to identify a field pea genotype with a reliable, high grain yield that could be subsequently released as a new cultivar for farmers in specific areas of Ethiopia. A combined analysis of field pea grain yield revealed a significant difference (P < 0.01) between genotypes and environments, suggesting that the genetic composition of the genotypes varied and the environments were distinct. The average grain yield ranged from 1614 kg/ha to 2412 kg/ha, with a mean of 2032.69 kg/ha. Genotype G13 had the highest average grain yield (2412 kg/ha) compared to the standard check varieties Bilalo (2190 kg/ha) and Bursa (2100 kg/ha), indicating its potential for developing adaptable varieties suited to specific environments. This outcome may aid breeders in choosing the most appropriate cultivars for particular environments, resulting in higher field pea yields and productivity. Nonetheless, the research also indicates that to create broadly adaptable and climate-resilient varieties, it is crucial to carry out trials in various locations and across multiple years.
References
Andrews, M., and Hodge, S. (2010). Climate Change, a Challenge for Cool Season Grain Legume Crop Production. Climate Change and Management of Cool Season Grain Legume Crops, 1–9. https://doi.org/10.1007/978-90-481-3709-1_1
Argaye, S., Tadele, M., & Tilahun, N. (2023). Agronomic Performance and Grain Yield Stability of Elite Field Pea (Pisum Sativum L.) Genotypes Tested at Various Potential Growing Environments in Ethiopia. Middle East Research Journal of Biological Sciences, 3(03), 96–104. https://doi.org/10.36348/merjbs.2023.v03i03.010
Atlin, G. N., Kleinknecht, K., Singh, K. P., & Piepho, H. P. (2011). Managing genotype x environment interaction in plant breeding programs: a selection theory approach. Journal of the Indian Agricultural Society of Statistics 65(2), 237-247
Gurmu, G. N., Mulisa, T. B., Gemechu, A. L., Amena, K. G., & Terfa, G. N. (2022). Evaluation of Field Pea (Pisum sativum L.) Varieties for Yield and Yield-Related Traits. Sarhad Journal of Agriculture, 38(4). https://doi.org/10.17582/journal.sja/2022/38.4.1219.1227
Haile, G. A., & Tesfaye, D. (2024). Response of field pea (Pisum sativum L.) genotypes for grain yield in a multi-environment trial in Southeastern Ethiopia. Heliyon, 10(15), e35233. https://doi.org/10.1016/j.heliyon.2024.e35233
Kebede, B., Bobo, T., Korji, D., & Amare, G. (2023). Pre Extension Demonstration of Improved Desho Grasses at Highland Districts of Guji Zone, Southern Oromia, Ethiopia. American Journal of Agriculture and Forestry. https://doi.org/10.11648/j.ajaf.20231101.14
Kindie, Y., Bezabih, A., Beshir, W., Nigusie, Z., Asemamaw, Z., Adem, A., Tebabele, B., Kebede, G., Alemayehu, T., & Assres, F. (2019). Field Pea (Pisum sativum L.) Variety Development for Moisture Deficit Areas of Eastern Amhara, Ethiopia. Advances in Agriculture, 2019, 1–6. https://doi.org/10.1155/2019/1398612
Reckling, M., Ahrends, H., Chen, T.-W., Eugster, W., Hadasch, S., Knapp, S., Laidig, F., Linstädter, A., Macholdt, J., Piepho, H.-P., Schiffers, K., & Döring, T. F. (2021). Methods of yield stability analysis in long-term field experiments. A review. Agronomy for Sustainable Development, 41(2). https://doi.org/10.1007/s13593-021-00681-4
Tadele Tadesse, Gashaw Sefera, Behailu Mulugeta, Amanuel Tekalign (2017). Interaction of Field Pea Genotypes with Environment for Grain Yield in the Highland of Bale Zone, Southeastern Ethiopia. Journal Plant Vol. 5 (1), 18-22 doi: 10.11648/j.plant.20170501.14
Tadele, M., Jarso, M., Argaye, S., Tekalign, A., Tilahun, N., Mulugeta, W., Robsa, A., Tesfaye, D., Yimam, K., Silesh, Y., Yirga, M., Merga, B., Basa, D., & Esmael, J. (2021). Performance of Large Seeded Faba Bean Genotypes for Yield and Related Agronomic Traits in Different Parts of Ethiopia. East African Journal of Agriculture and Biotechnology, 4(1), 1–11. https://doi.org/10.37284/eajab.4.1.486
Tolessa, T. T., Keneni, G., Sefera, T., Jarso, M., & Bekele, Y. (2013). Genotype× environment interaction and performance stability for grain yield in field pea (Pisum sativum L.) genotypes. International Journal of plant breeding, 7(2), 116-123.
Vasileva, V. M., & Kosev, V. I. (2021). Genotype Environment Interaction and Stability of Quantitative Traits in Pea (Pisum sativum L.) Varieties. Journal of Agricultural Sciences – Sri Lanka, 16(2), 317–326. https://doi.org/10.4038/jas.v16i2.9337
Yang, X., Soliman, A. A., Hu, C., Yang, F., Lv, M., Yu, H., Wang, Y., Zheng, A., Dai, Z., Li, Q., Tang, Y., Yang, J., Zhang, Y., Niu, W., Wang, L., & He, Y. (2023). Yield Adaptability and Stability in Field Pea Genotypes Using AMMI, GGE, and GYT Biplot Analyses. Agriculture, 13(10), 1962. https://doi.org/10.3390/agriculture13101962
Yihunie, T. A., and Gesesse, C. A. (2018). GGE Biplot Analysis of Genotype by Environment Interaction in Field Pea (Pisum sativum L.) Genotypes in Northwestern Ethiopia. Journal of Crop Science and Biotechnology, 21(1), 67–74. https://doi.org/10.1007/s12892-017-0099-0
Zeleke, B., Esimeal, J., Amogne, K., Mengie, Y., Sendekie, F., Hailu, A., & Taye, Y. (2024). Genotype × Environment Interaction and Stability of Field Pea (Pisum sativum L.) Genotypes for Seed Yield in Northwestern Ethiopia. Journal of Tropical Crop Science, 11(02), 155–164. https://doi.org/10.29244/jtcs.11.02.155-164
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
