Agronomic performance of soybean (Glycine max (L.) Merr.) advanced breeding lines multi-environment trials
2019
Maghirang, R.G. | Ladia, V.A.Jr. | Ocampo, E.T.M. | Enicola, E.E. | Mateo, J.M.C. | Dueña, J.R. | Santos, M.M.L. | Makiling, F.C. | Onde, M.G.G. | Calderon, V.F. | Baguno, J.M. | Duna, L.V. | Tigbao, J.R. | Regulacion, A.N. | Anticola, R.M. | Auxtero, T.B. | Juyno, C.B. | Gimo, G.T.
Multi-environment trial (MET) is an important consideration in any breeding program to assess the presence of genotype x environment interaction (GEI). The objective of this research was to evaluate the productive performance of soybean advanced breeding lines in multi-environment trials, and to identify the ideal genotypes for each of the growing environments. A randomized complete block experimental design with four replicates was carried out for the evaluation of 20 soybean genotypes in six environments during the 2018-2019 dry season planting. Initial data from the three environments are presented in this paper. GEI was not present in the combined analysis but genotypes are significant in each environment. Changes in the ranking of genotypes among locations was also observed. Region 4A was the highest yielding environment among the testing locations. The genotype SY 2008-05-179 showed the highest mean yield (2.15 t/ha) in Region 2 while Tiwala 8 showed the highest mean yield (2.73 t/ha) in Region 4A and SP 963-1 had the highest mean yield (1.8 t/ha) in Region 10. Top performing genotypes in Region 2 were SY 2008-05-179, SP 963-5, SP 963-9, CLSoy 1 and SP 963-2. For Region 4A, the top yielding genotypes were Tiwala 8, SP 963-1, SP 963-9, SP 963-6 and SY 2008-05-177 while in Region 10, the top yielders were SP 963-1, SY 2008-05-177, SP 963-9, SP 963-5 and CLSoy 1. Top performing genotypes in each region will be tested further in on-farm trails to select the ideal genotypes recommended in each growing environment.
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