ADAPTIVE LASSO ANALYSIS FOR GRAIN YIELD AND YIELD COMPONENTS IN TWO-ROWED BARLEY UNDER RAINFED CONDITIONS


Akkol S. , Arpalı D. , YAĞMUR M.

COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES, cilt.71, ss.1279-1287, 2018 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 71 Konu: 9
  • Basım Tarihi: 2018
  • Doi Numarası: 10.7546/crabs.2018.09.17
  • Dergi Adı: COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES
  • Sayfa Sayıları: ss.1279-1287

Özet

The goal of this study was to determine the yield components related to grain yield in order to improve barley yield under rainfed conditions of Turkey (Van). Stepwise and Adaptive Lasso methods were performed for selection of most significant yield components. As cohesion criteria to compare Stepwise and Adaptive Lasso methods, the adjusted coefficient of determination and Akaike Information Criterion were used. Results revealed that when there were dependencies between independent variables stepwise and Adaptive Lasso achieved the same results. It has been determined that spike number per m(2) and grain weight per spike can be used as the most effective selection criteria for barley breeding studies due to their significant effects on grain yield.