Assessment of phenotypic diversity of local grass pea (Lathyrus sp. L.) accessions based on economically important agricultural traits
Keywords:
cluster analysis; Lathyrus sp.; morphological traits; principal component analysеsAbstract
The success of any crop improvement program essentially depends on the nature and magnitude of genetic diversity. Although grass pea is environment-friendly grain legumes, important for food security and animal feeding, the genetic potential of this crop have been neglected for a long. The paper deals with the study of phenotypic diversity of grass pea accessions with local origin, included in IPGR’s collections regarding economically important agricultural traits. The traits evaluation was performed according to Lathyrus sativus International Descriptors. The degree of traits variability was expressed by the coefficient of variation. Cluster and principal component analyses were applied to assemble the accessions in distinct groups. The coefficient of variation for all studied grass pea traits fluctuated between 6.29% and 16.83%. Middle variability was characteristic for six traits. Based on economically important traits the grass pea accessions were grouped in two different clusters. Two grass pea accessions (BGR4836 and BGR4831) were selected having tall plants, big number of pods and grains per plant, high yield per plant, high biological yield and harvest index. The BGR4847 accession had high biological yield, high harvest index, high 100 grains mass and big number of grains per pod. The BGR 4334 genotype was significantly different from other genotypes. The results of the conduct analyses helped to select accessions for further investigations.
References
Biabani, A. R., & Pakniyat, H. (2008). Evaluation of Seed Yield-Related Characters in Sesame (Sesamum indicum L.) Using Factor and Path Analysis. Pakistan Journal of Biological Sciences, 11, 1157-1160.
Dimova, D., & Marinkov, E. (1999). Experiment and biometrics. Academic Publishing House of Agricultural University, Plovdiv, 194, (Bg).
Gepts, P. (2006). Plant genetic resources conservation and utilization: The accomplishments and future of a societal insurance policy. Crop Science, 46, 2278–2292.
IPGRI. (2000). Descriptors for Lathyrus spp. International Plant Genetic Resources Institute, Rome, Italy, from Descriptors for Lathyrus spp. (wordpress.com)
Hanbury, C. D., White, C. L., Mullan, B. P., & Siddique, H. M. (2000). A review of the potential of Lathyrus sativus L. and L. cicero L. grain for use as animal feed. Animal Feed Science and Technology, 87, 1–23.
Hobdari, V., Gixhari, B., Elezi, F., Bode, D., Dias, S., & Libohova, Z. (2012). Characterization of grasspea (Lathyrus sativum) genotypes stored in Albanian gene bank. Journal of International Environmental Application and Sciences, 7, 709- 714.
IBM. (2019). SPSS Statistics 19 (Statistical Product and Service Solutions), Vers. 19.0.0 Retrieved from https://www.ibm.com/support/pages/spss-statistics-190-fix-pack-1
Kosev, V. I., & Vasileva, V. M. (2019). Morphological characterization of grass pea (Lathyrus sativus L.) varieties. The Journal of Agricultural Sciences - Sri Lanka, 14(2), 67-76.
Mohammadi, S. A., & Prasanna, B. M. (2003). Analysis of genetic diversity in crop plants - Salient statistical tools and considerations. Crop Science, 43(4), 1235-1248
Parihar, A. K., Dixit, G. P. & Singh, D. (2015). Genetic variability analysis for quantitative traits in a germplasm set of grasspea (Lathyrus spp.). Legume Research, 38, 461-464.
Rahman, S., Molla, M. R., Man, N., Rasul, M. G. & Mak, M. (2010). Assessment of genetic diversity in grasspea (Lathyrus sativus L.) genotypes using morphological markers. Academic Journal of Plant Sciences, 3, 85-91
Stamatov, S., & Deshev, M. (2012). Evaluation of Options for Increasing the Number of Capsules in Sesame Sesamum Indicum L. Using Factor Analysis= Plant Science, 49(9), 81-84.
Tsegaye, D., Tadesse, W., & Bayable, M. (2005). Performance of grass pea (Lathyrus sativus L.) somaclones at Adet, northwest Ethiopia. Lathyrus Lathyrism Newsl, 4, 5–6.
Talukdar, D., & Biswas, A. K. (2008). Variability, heritability and cope of selection for some quantitative traits in induced mutant lines of grass pea (Lathyrus sativus L.). International Journal of Plant Sciences, 3, 528-530.
Upadhyaya, H. D., Dwivedi, S. L., Ambrose, M., Ellis, N., Berger, J., Smy´kal, P., Debouck, D., Duc, G., Flavell, D. D., Sharma, S. K., Mallikarjuna, N. & Gowda, C. L. L. (2011). Legume genetic resources: management, diversity assessment, and utilization in crop improvement. Euphytica, 180, 27–47.
Vaz Patto, M. C., Skiba, B., Pang, E. C. K., Ochatt, S. J., Lambein, F., & Rubiales, D. (2006). Lathyrus improvement for resistance against biotic and abiotic stresses: from classical breeding to marker assisted selection. Euphytica, 147, 133–147.
Vaz Patto, M. C., & Rubiales, D. (2014). Lathyrus diversity: available resources with relevance to crop improvement – L. sativus and L. cicera as case studies. Annals of Botany, 113(6), 895–908.
Velcheva, N., & Petrova, S. (2020). Statistical analysis of genetic diversity using faba bean landraces database. Аgricultural Science and Technology, 12(3), 210-215.
Ward, J. H. (1963). Herarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58, 236.
Yunus, A. G., & Jackson, M. T. (1991). The gene pools of the grass pea (Lathyrus sativus L.) Plant Breeding, 106, 319–328.
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