1. Astaraki, H., Sharifi, P. and Sheikh, F. (2020). Estimation of genotypic correlation and heritability of some of traits in faba bean genotypes using restricted maximum likelihood (REML). Plant Genetic Researches, 6(2): 111-128 (In Persian). [DOI:10.29252/pgr.6.2.111]

2. Azevedo, C.V.G., Val, B.H.P., Araujo, L.C.A., Juhasz, A.C.P., Di Mauro, A.O. and Uneda Trevisoli, S.H. (2021). Genetic parameters of soybean populations obtained from crosses between grain and food genotypes. Acta Scientiarum Agronomy, 43: e46968. [DOI:10.4025/actasciagron.v43i1.46968]

3. Babaei, H.R., Razmi, N. and Sabzi, H. (2021). Study on grain yield stability of soybean genotypes [Glycine max (L.) Merril] through GGE biplot analysis. Applied Research in Feilf Crops, 34(1): 39-54 (In Pershian).

4. Benjamin, B., Stewart-Brown, B.B., Song, Q., Vaughn, J.N. and Li, Z. (2019). Genomic selection for yield and seed composition traits within an applied soybean breeding program. G3 (Bethesda), 9(7): 2253-2265. [DOI:10.1534/g3.118.200917]

5. Dubey, N., Avinashe, H.A. and Shrivastava, A.N. (2018). Principal component analysis in advanced genotypes of soybean [Glycine max (L.) Merrill] over seasons. Plant Archives, 18(1): 501-506.

6. Girgel, U. (2021). Principle component analysis (PCA) in bean genotypes (Phaseolus vulgaris L.) for agronomic, morphological and biochemical characteristics. Applied Ecology and Environmental Research, 19(3): 1999-2011. [DOI:10.15666/aeer/1903_19992011]

7. Hezarjaribi, E., Andarkhor, A. and Razmi, N. (2018). Evaluation of Adaptability of Early Matured Pure-Lines Soybean (2017-18). Final Report. Seed and Plant Improvement Institute.Karaj, IR (In Persian).

8. Kahlon, C.S., Li, B., Board, J., Dia, M., Sharma, P. and Jat, P. (2018). Cluster and principle component analysis of soybean grown at various row spacings, planting dates and plant populations. De Gruyter, 3: 110-122. [DOI:10.1515/opag-2018-0011]

9. Kuswantoro, H., Artari, R., Iswanto, R. and Iman, H. (2020). Family structure of F5 soybeans lines derived from soybean varieties with the main differences on seed size and maturity traits. Biodiversitas, 21(6): 2576-2585. [DOI:10.13057/biodiv/d210630]

10. Machado, B.Q.V., Nogueira, A.P.O., Hamawaki, O.T., Rezende, G.F., Jorge, G.L., Silveira, I.C., Medeiros, L.A., Hamawaki, R.L. and Hamawak, C.D.L. (2017). Phenotypic and genotypic correlations between soybean agronomic traits and path analysis. Genetics and Molecular Research, 16(2). doi http://dx.doi.org/10.4238/gmr16029696. [DOI:10.4238/gmr16029696]

11. Milioli, A.S., Zdziarski, A.D., Woyann, L.G., Santos, R., Rosa, A., Madureira, A. and Benin, G. (2018). Yield stability and relationships among stability parameters in soybean genotypes across years. Chilean Journal of Agricultural Research, 78(2): 299-310. [DOI:10.4067/S0718-58392018000200299]

12. Razmi, N., Rameeh, V., Hezarjeribi, E. and Kalantar Ahmadi, A. (2021). Investigation of grain yield, number of pods and plant height of new soybean lines in Sari, Gorgan, Moghan and Dezful regions. Journal of Crop Breeding, 12: 36-42 (In Persian). [DOI:10.52547/jcb.12.36.21]

13. Rodrigues, B., Serafim, F., Nogueira, A.P., Hamawaki, O.T., Sousa, L.B. and Hamawaki, R.L. (2015). Correlations between traits in soybean (Glycine max L.) naturally infected with Asian rust (Phakopsora pachyrhizi). Genetics and Molecular Research, 14(4): 17718-29. [DOI:10.4238/2015.December.21.45] [PMID]

14. Sousa, L.B., Hamawaki, O.T., Santos Júnior, C.D. and Oliveira, V.M. (2015). Correlation between yield components in F6 soybean progenies derived from seven biparental crosses. Journal of Biosciences, 31: 1692-1699. [DOI:10.14393/BJ-v31n6a2015-26217]

15. Tahmasebi, A.K., Darvishzadeh, R., Moghaddam, A.F., Gholinezhad, E. and Abdi, H. (2022). Use of selection indices for improving grain yield in sesame local populations. Plant Genetic Researches, 8(2): 117-130 (In Persian). [DOI:10.52547/pgr.8.2.9]

16. Teodoro, P.E., Ribeiro, L.P., Corrêa, C.C.G. and Luz Júnior, R.A.A. (2015). Path analysis in soybean genotypes as function of growth habit. Journal of Biosciences, 31: 794-799. [DOI:10.14393/BJ-v31n1a2015-26094]

17. Yoosefzadeh-Najafabadi, M., Tulpan, D. and Eskandari, M. (2021). Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits. PlosOne, 16(4): e0250665. [DOI:10.1371/journal.pone.0250665] [PMID] [PMCID]

18. You, M.K., Song, Q., Jia, G., Cheng, Y., Duguid, S., Booker, H. and Cloutier, S. (2016). Estimation of genetic parameters and their sampling variances for quantitative traits in the type 2 modified augmented design. The Crop Journal, 4: 107-118. [DOI:10.1016/j.cj.2016.01.003]