Genetic variability for seed nutritional composition in pearl millet genotypes analyzed by biplot method

This study evaluated the chemical composition of pearl millet seeds belonging to different genotypes by biplot analysis. Seeds of 26 different pearl millet populations obtained from ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) within the scope of TÜBİTAK 219O103 run by Şırnak University were used. The seeds were ground and analyzed for their chemical composition, i.e., acid detergent fiber (ADF), neutral detergent fiber (NDF), crude protein (CP), digestible dry matter (DDM) and dry matter intake (DMI) rate. The results revealed that crude protein ratio varied between 11.74-19.24%, whereas ADF ratio differed between 3.44-11.43%. Similarly, NDF ratio varied between 10.23-23.47%, while DDM ratio ranged between 79.98-86.21%. Likewise, DMI ratio differed between 5.11-11.72%. Scatter plot obtained after biplot analysis indicated three different groups based on the analyzed traits. The first group contained DDM and DMI, whereas the second group consisted of ADF and NDF. The protein ratio was in the third group. It was determined that ADF-NDF and DMI-DDM properties were negatively correlated with each other. According to biplot, genotypes ‘A5-13’, ‘A13-6’ and ‘B1-7’ were prominent for ADF -NDF, DMI-DDM, and protein ratio, respectively. Therefore, these genotypes can be used in future studies to induce the desired traits

DETERMINATION OF YIELD AND QUALITY CHARACTERISTICS OF SOME ALFALFA (Medicago sativa L.) CULTIVARS IN THE EAST ANATOLIA REGION OF TURKEY AND CORRELATION ANALYSIS BETWEEN THESE PROPERTIES

This study was conducted to determine yield and some quality features of some alfalfa cultivars for three years between 2014 and 2016 in the East Anatolian Region of Turkey and correlation analysis between these properties. In this study, sixteen different alfalfa cultivars (Verdor, Magna-601, Magnum-V, Basbag, Elci, Kayseri, Nimet, Savas, Omerbey, Ozpinar, Alsancak, Gea, Verko, Sunter, Bilensoy-80 and Gozlu-1) were used. Experiments were conducted in the randomized block design with three replications. According to the results of this study significant differences were determined in terms of plant height, green herbage yield, dry herbage yield, crude protein ratio, crude protein yield, acid detergent fiber (ADF), neutral detergent fiber (NDF), digestible dry matter (DDM), dry matter intake (DMI) and relative feed value (RFV) of alfalfa cultivars. In alfalfa cultivars, the highest green plant height, green herbage yield, dry herbage yield, crude protein yield and relative feed value were determined in Gea (54.7 cm, 3591 kg da(-1), 1227 kg da-1, 301 kg da-1 and 262.1, respectively). The highest crude protein ratio was determined in Magnum-V (25.9%). The least ADF contents were obtained from Gea (18.7%) and the least NDF contents were obtained from Gea, Sunter, Nimet and Ozpinar (27.1%, 27.4%, 27.5% and 27.7%, respectively). The highest digestible dry matter was determined in Gea (74.4%). The highest dry matter intake was obtained from Gea, Sunter, Nimet and Ozpinar (4.53%, 4.52%, 4.48% and 4.45%, respectively). Also, significant correlations were found between the traits studied. As a result, Gea variety with high dry herbage and crude protein yield, low ADF-NDF ratios and high relative feed value was recommended for alfalfa culture in similar ecologies. Outside Gea; it seems that Bilensoy-80, Magna-601, Magnum-V, Omerbey, Sunter, Verdor and Verko cultivars gave results above averages and were remarkable in terms of yield and quality

Assessment of Genotype x Trait x Environment interactions of silage maize genotypes through GGE Biplot

In yield experiments conducted at different environments, assessment of Genotype x Environment interactions for investigated traits is a quite significant issue for both agronomists and breeders. GGE biplot analysis was employed in this study to assess the Genotype x Trait, Environment x Trait and Trait Association x Environment of five different traits (silage yield [SY], stem diameter [SD], green leaf weight ratio [GLWR], green stem weight ratio [GSWR], green corn cob ratio [GCCR] and plant height [PH]) of 25 silage maize (Zea mays L.) genotypes grown in six environments. The biplot graphs created in this study to assess Genotype x Trait, Environment x Trait and Environment x Trait correlation interactions were able to explain respectively 86%, 92%, and 83% of total variation of experiments. Current findings revealed that the genotype G18 (Safak), with the greatest silage yield in Genotype Trait biplot (GT biplot) also had the greatest SD; DIY14 (DIYARBAKIR-2014) with the greatest distance from the origin over Environment Trait (ET-biplot) graph was the most distinctive environment; SD with the greatest vector length was the most distinctive trait; DIY14 and DIY15 environments were the best environments for PH, GSWR, SY and SD. It was concluded that GGE biplot method with different perspectives could reliably be used in assessment of silage characteristics of maize genotypes grown in different environments