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Öğe EFFECT OF HMW AND LMW GLUTENIN ALLELES ON QUALITY TRAITS OF BREAD WHEAT(Serbian Genetics Soc, 2020) Aktas, Husnu; Sener, OkanThis study was performed to investigate impact of HMW and LMW glutenin alleles on quality traits of bread wheat cultivars. Fifteen bread wheat varieties were used for field trails during 2012-13 and 2013-14 under irrigated conditions of Diyarbakir and Mardin locations, Turkey. We investigated the quality of varieties that have same HMW-GS (High molecular weight subunits) and different LMW-GS (Low molecular weight subunits) or vice versa. Results indicated that GluA3-c > d > e, GluB3-g > b' = i, and GluD3-b = c > a for LMW-GS, and GluB1-7+8 > GluB1-17+18; GluD1-5+10 > GluD1-2+12 for HMW-GS have higher extensograph dough energy, extensibility, resistance, also higher farinograph stability time, gluten index and grain hardness values. The overall evaluation of the results obtained from this study demonstrated that GluA1-1 or 2*, GluB1-7+8 and GluD1-5+10 for HMW glutenin alleles and GluA3-d, GluB3-g and b, GluD3-c for LMW glutenin alleles are associated with a strong gluten structure and accordingly selection of lines harboring these alleles can contribute to the development of genotypes with high quality in wheat breeding programs.Öğe Examination of genotype x environment interactions by GGE biplot analysis in spring durum wheat(Indian Soc Genet Plant Breeding, 2015) Kendal, Enver; Sener, OkanA study was conducted to examine the effects of genotype x environment interaction (GEI) on grain yield, its components, and quality characteristics using genotype main effect (G) plus genotype x environment interaction (GE) (GGE) biplot analysis. Significant differences were observed among cultivars in grain yield, yield components, and quality traits and the relationship between yield components was used to identify three groups. Positive correlations were found between quality parameters and yield components, whereas correlations of quality parameters with yield and yield components were negative. The GGE biplot indicated that E6 (single irrigated location at Diyarbakir) was an ideal environment for all traits and E5 (rainfed locations at Diyarbakir) was a highly efficient model for quality parameters. The biplot analysis showed that Zen it was the best cultivar in terms of yield and quality and Zuhre was efficient for quality parameters only and hence these two genotypes can be recommended to Southeastern Anatolia Region in Turkey.Öğe Identification of breeding potential for grain yield and its component traits of common wheat varieties in the east mediterranean(2009) Sener, OkanSix experimental lines and one commercial wheat (Triticum aestivum L.) cultivar from diverse backgrounds were intercrossed in a half diallel and analyzed to determine suitable parents for hybrids combinations and promising hybrid combinations. The experiment was established in typical Mediterranean environment, using a randomized complete block design with three replications. General combining ability (GCA) and specific combining ability (SCA) effects were identified for spike length, spikelets per spike, kernel number per spike, kernel weight per spike, thousand kernel weight, and grain yield per plant. Spike length was determined by additive gene effect, though number of spikelets in spike was determined by non-additive genes. Number of kernels per spike, thousand kernel weight and yield per plant were affected by both additive and dominant genes. However, additive genes were more effective on number of kernels per spike and thousand kernel weight than that of dominant genes. Dominant genes were more effective on grain yield per plant than that of additive genes. Of the measured yield components, only spikelets per spike were significantly correlated with grain yield. Based on the path analysis, it was found that spikelets per spike, kernel number per spike and kernel weight per spike had the greatest positive direct effect on grain yield. It was determined that P2 (F6 0314-76/MRL), P4 (HP 1744) and P5 (SERI-82//SHI#4414/CROW "S") were the best combiner for grain yield per plant. The analysis of the results showed that the best specific crosses for grain yield per plant were P1(GENÇ-99) XP2, P1XP3(PFAU/MILAN) and P5XP7(ATTILA/3/HUI/CARC//CHEN/CHTO/4/ATTILA). They these crosses were the most promising combinations for future breeding.Öğe IDENTIFICATION OF BREEDING POTENTIAL FOR GRAIN YIELD AND ITS COMPONENT TRAITS OF COMMON WHEAT VARIETIES IN THE EAST MEDITERRANEAN(Colegio De Postgraduados, 2009) Sener, OkanSix experimental lines and one commercial wheat (Triticum aestivum L.) cultivar from diverse backgrounds were intercrossed in a half diallel and analyzed to determine suitable parents for hybrids combinations and promising hybrid combinations. The experiment was established in typical Mediterranean environment, using a randomized complete block design with three replications. General combining ability (GCA) and specific combining ability (SCA) effects were identified for spike length, spikelets per spike, kernel number per spike, kernel weight per spike, thousand kernel weight, and grain yield per plant. Spike length was determined by additive gene effect, though number of spikelets in spike was determined by non-additive genes. Number of kernels per spike, thousand kernel weight and yield per plant were affected by both additive and dominant genes. However, additive genes were more effective on number of kernels per spike and thousand kernel weight than that of dominant genes. Dominant genes were more effective on grain yield per plant than that of additive genes. Of the measured yield components, only spikelets per spike were significantly correlated with grain yield. Based on the path analysis, it was found that spikelets per spike, kernel number per spike and kernel weight per spike had the greatest positive direct effect on grain yield. It was determined that P2 (F6 0314-76/MRL), P4 (HP 1744) and P5 (SERI-82//SHI#4414/CROW S) were the best combiner for grain yield per plant. The analysis of the results showed that the best specific crosses for grain yield per plant were PI(GENC-99)XP2, P1XP3(PFAU/MILAN) and P5XP7(ATTILA/3/HUI/CARC//CHEN/CHTO/4/ATTILA). They these crosses were the most promising combinations for future breeding.Öğe Response of strawberry clover (Trifolium fragiferum L.) to salinity stress(Gaurav Soc Agricultural Research Information Centre-Aric, 2013) Can, Ersin; Arslan, Mehmet; Sener, Okan; Daghan, HaticeForage crops tolerant to salinity stress during seed germination and vegetative growth are highly important for plant establishment and maintenance in saline pastures and meadows. The present study was conducted to determine how salinity affects germination, plant growth and development of strawberry clover. Strawberry clovers were grown in pots filled with a mixture of sand and peat moss, and were irrigated with waters of seven different levels of salinity [0.06 (control), 9.36, 18.22, 26.67, 34.07, 42.70 and 50.1 dS/m]. Germination studies indicated that each increase in salinity after 11.0 dS/m caused a reduction in germination, with no seed germination after 42.0 dS/m NaCl. Salinity had considerable effect on plant (hay) fresh and dry weights, chlorophyll content, SPAD reading and electrolyte leakage value. The NaCl treatment proportionally reduced the fresh and dry weights of plant. Membrane damage of cells increased as NaCl concentration increased. Higher salinity concentration decreased photosynthetic pigment content that led to decrease photosynthetic rate and less dry matter production. Our data suggest that strawberry clover possesses moderate to good salinity tolerance during seed germination and vegetative growth has potential to be used on pastures and meadows with moderate salt problems affecting forage crops establishment and maintenance.