Adaptation abilities and quality parameters of selected soybean lines under double cropping in the Mediterranean region

The objective of this study was to determine the adaptation abilities and quality parameters of selected advanced soybean breeding lines at the double cropped growing conditions. 20 advanced Soybean [Glycine max (L.) Merr] breeding lines (F 7 ) and four soybean varieties having maturity group III and IV (ARISOY, ATAEM-7, BRAVO and NOVA) were used. The differences between the lines and varieties were significant for the grain yield. The mean grain yield of breeding lines and varieties ranged from 2460 to 3488 kg ha -1 and from 2933 to 3440 kg ha -1 , respectively. Also KA-07-05-13 advanced soybean line had the highest grain yield in terms of two years’ average. The highest plant height was obtained from KA-07-08-15 (82.2 cm) and the lowest pod height from KA-07-08-15 (12.2 cm) and BDNA-19 (12.1 cm) lines. Significant differences were determined for pod number per plant among the 24 soybean genotypes. The pod number per plant was the higher in BDNA-12 and BDNA-13 lines than the varieties. In this research, the number of day for flowering varied between 33.0-42.1 days and the number of days for maturating ranged from 102.4 to 113.6 days. The earliest flowering time was detected from KA-07-08-14 line and the earliest maturating time was observed from BDNE-14 line. In a two-year average, 100-seed weight ranged between 14.2-20.8 g in breeding lines. The highest 100-seed weight was obtained from KA-07-03-5 (20.8 g) and KA-07-03-9 lines (20.1 g). While the highest oil percentage was obtained from ARISOY, the highest and statistically same oil percentage was recorded from KA-07-05-9 (21,6%), KA-07-08-12 (21,2%) and KA-07-05-5 (21,2%). The average protein content of soybean lines and cultivars varied from 41.6% to 49.3%. The higher protein percentage value was obtained from the BDAF-4 (49.3%) breeding line. © 2018, Society of Field Crops Science. All rights reserved.We are grateful to the TUBITAK “The Scientific and Technological Research Council of Turkey” funded this research with the project codes of 113 O 082 and sub number: 113 O 086. -