Application of the BLUPe predictor in the selection of potential soybean varieties for Orinoquia

The Colombian Orinoquía and the Altillanura subregion show comparative competitive advantages for soybean production (edaphoclimatic conditions, cost-benefit ratio, potential area, location), essential food with a high protein content (~37%) used mostly poultry pig nutrition. However, this immense region has scarce varietal alternatives of grain yield quality that are adapted to its climatic edaphic conditions. current research is based on selection superior lines or varieties genetic merit using restricted maximum likelihood/standardized best linear unbiased predictor (REML/BLUPe) procedure. Sixty advanced four commercial were tested in an 8x8 alpha lattice design. Grain (GY) oscillated between 1,117 4,431 kg ha-1, population average was 2,682 BLUPe predictors ranged 5.37 -3.71. With t-test at significance 5% (1.67) comparator (t1-t2)≥1.67 (√2), six outstanding identified values compared mean (P<0.05) GY>3,500 ha-1. In descending order (kg ha-1), GY was: L-041 (4,431), L-019 (4,326), L-104 (3,923), L-149 (3,832), L-202 (3,536), L-201 (3,519 ha-1). standardized allowed effective (92%) lines.