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. 2012 Feb 17;7(2):e30717. doi: 10.1371/journal.pone.0030717

Table 1. AtBBX32 transgenic soybean plants demonstrate improved grain yield over non-transgenic controls.

Season 1United StatesN = 10 Season 2United StatesN = 19 Season 3ArgentinaN = 14 Meta-analysis across seasonsN = 43
Line Yield(kg/h) % change vs control Yield(kg/h) % change vs control Yield(kg/h) % change vs control Yield(kg/h) % change vs control ΔDOF Δ MAT
1 4725 3.2 3968 8.5** 3766 7.7** 4068 6.9** 0 1.6**
2 4707 3.7 4040 7.2** 3661 3.1 4076 5.3** −0.4 1.4**
3 4604 −1 3953 6.1** 3481 4.4 3966 4.1** 1.0** 1.8**
4 4277 −6.4** 3777 1.8 3287 −7.3** 3762 −2.3 0.4 0
5 4693 0.3 3972 7.1** 3655 6.4* 4040 5.6** −0.2 1.3**
6 4814 0.1 3957 8.7** 3519 1.4 4014 4.8** −0.2 0.9**
7 4491 −4.8* 3867 4.4* 3550 2.4 3917 1.9 −0.7** 0.2
8 4731 5.3* 3902 5.8** 3696 6.5* 4019 5.9** −0.5 1.0**

Mean yield values (kilograms per hectare) and percent improvement over controls for transgenic plots are shown for three growing seasons. The difference in the day of flowering (DOF) between the transgenic lines and control was calculated to determine delta DOF. The difference in day of final maturity (MAT) was examined in transgenic lines and compared to control to determine delta MAT (units = days). The low yielding event 4 produced no detectable transcript. N represents the number of environments tested. p-values were based on the difference between the transgenic lines and wildtype control.

*p≤0.05,

**p≤0.01.