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Öğe A STUDY ON THE DETERMINATION OF THE PERFORMANCE OF SOME YIELD COMPONENTS IN DRY BEAN GENOTYPES (PHASEOLUS VULGARIS L.) IN DIFFERENT ENVIRONMENTS(Parlar Scientific Publications (P S P), 2018) Sozen, Omer; Karadavut, Ufuk; Akcura, MevlutThis study aimed to determine the responses of dry bean genotypes to different environments in terms of yield components. The study was carried out for five years (from 2011 to 2015 year) with a total of 20 dry bean genotypes comprising 7 registered lines and 13 advanced lines. In the study, years were defined as environment. Although planting varied depending on climate conditions, all plantings during the five-year period were carried out in May. The GGE [genotype main effect (G) and genotype by environment interaction (GE)] biplot graphical tool was used to analyze yield component data. The combined analysis of variance revealed a significant difference (P<0.01) among genotypes, environments and genotype-by-environment interaction for all studied traits. In conclusion, seed yield per plant ranged from 21.7 to 42.1 g, number of seeds per plant ranged from 43.7 to 162.2 and 100-seed weight ranged from 22.9 to 45.7 g. The evaluation of the genotypes in terms of stability showed that Onceler 98, Akdag and A.27 genotypes were more stable in terms of seed yield per plant, A.20, A.21, Onceler 98, Goynuk 98 and Zulbiye genotypes were more stable in terms of seed number per plant and Yunus 90 was more stable in terms of 100-seed weight. GGE biplot facilitated the visual comparison and identification of superior genotypes according to their yield performance.Öğe AN ALTERNATIVE STATISTICAL MODEL FOR THE ASSESSMENT OF DRY MATTER ACCUMULATION IN COOL SEASON CEREALS: COX REGRESSION(Serbian Genetics Soc, 2019) Gokkus, Zeynep; Akcura, MevlutIn this study, the growing behaviors of some cool season cereals (bread wheat, rye, durum wheat and barley) cereals were modeled simultaneously during the two growing seasons. For this purpose, Cox Regression was proposed as an alternative to the preferred regression methods in previous studies. In the study, based on the seasonal data of two different season growing seasons (2012-2013, 2013-2014 and both), each of which has 5 replicates 27 samples, growth rates of these cereals via dry matter accumulation quantities were explained in three different models. For this purpose, the dry matter accumulation amounts were fitted to the survival data and Cox Regression method, which uses the hazard function, the rate of occurrence of a particular event, was preferred. As a result, each model was found to be very important (p<0.000). It was determined that i) the fastest growing species was barley, ii) dry matter accumulation decreased as temperature increased, and iii) dry matter accumulation in crops changed during each growth season.Öğe Analysis of High Molecular Weight Glutenin Subunit Composition of Pure Lines Selected from Eastern Turkey Bread Landraces(Ankara Univ, Fac Agr, 2015) Yildiz, Ayse; Akan, Kadir; Akcura, MevlutIn this research, high molecular weight glutenin (HMWG) subunit composition, found on Glu-1 locus of 41 genotypes selected according to grain yield, yield components and some quality properties from bread wheat landraces collected from Eastern Turkey, has been investigated by using SDS-PAGE method. Of the bread wheat pure lines, nine Glu-1 locus alleles have been determined in genotypes. While only null allele (c) on Glu-A1 locus has been determined, on Glu-B1 locus 7+8 subunit (b) in 35 pure lines (85.4%), 13+16 subunit (f) in 2 pure lines (4.9%), subunits 7 (a), 14+15 (h), 17+18 (i) and 6+8 (d) (2.4%) have been determined in only one genotype. On Glu-D1 locus allele a in 34 pure lines (82.9%) and allele d in 7 pure lines (17.1%) have been determined. In this research in which 7 different HMWG subunit combination were determined, the most common group found in 32 pure lines (78.0%) was n, 7+8 and 2+12. Of the genotypes, only 5 pure lines (12.2%) have taken 8 quality score value whereas the quality score value of 36 pure lines (87.8%) has been determined changing between 4 and 6.Öğe Assessment of Genotype x Trait x Environment interactions of silage maize genotypes through GGE Biplot(Inst Investigaciones Agropecuarias, 2017) Kaplan, Mahmut; Kokten, Kagan; Akcura, MevlutIn 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.Öğe Assessment of nutritive value, gas and methane production, fermentation of ensiled mixtures of sorghum-cluster bean(Taylor & Francis Ltd, 2023) Ciftci, Beyza; Kaplan, Mahmut; Akcura, Mevlut; Beyzi, Selma BuyukkilicThis study was conducted to investigate the effects of different mixture ratios of sorghum (S) and cluster bean (CB) on fermentation parameters, nutritional composition, and gas-methane production of mixture silages. Five different mixture ratios (100%S, 75%S+25%CB, 50%S+50CB, 25%S+75%CB and 100%CB) were used in this study. Effects of mixture ratios on entire parameters were highly significant (p <= 0.01). Decreasing ADF and NDF ratios and increasing crude protein, ash and oil contents and condensed tannin levels were observed with increasing cluster bean ratios of the mixtures. However, cluster beans reduced WSC and lactic acid and increased pH, butyric acid and ethanol contents. The lowest Fleig score was obtained from cluster bean silage (100%CB). The lowest gas-methane production was obtained from cluster bean silage and the greatest ME and NEL values were obtained from sorghum silage (100%S). The best OMD values were obtained from sorghum silage and 75%S+25%CB mixture silage. The present findings revealed that a 50%S+50%CB mixture yielded high nutritional composition and good fermentation parameters.Öğe Assessment of the reactions of pure lines selected from Turkish bread wheat landraces against bunt disease (Tilletia foetida) with the GGE-biplot method(Cambridge Univ Press, 2018) Akcura, Mevlut; Akan, KadirThe present research was conducted to determine the reactions of 200 pure lines selected from bread wheat landraces collected from 18 provinces and seven regions of Turkey against bunt disease (Tilletia foetida) under field conditions for 3 years. Bunt disease reactions of pure lines were assessed based on the infected spike/total spike ratio. For visually assessed materials, the GGE-biplot method, where G = genotype effect and GE = genotype-by-environment effect, was used to group the reactions against bunt disease. Fifty-nine pure lines showed high resistance (with infection rates ranging from 0.1 to 10%); 24 in the moderate resistance (with infection rates ranging from 10.1 to 25%); 75 in the moderate susceptibility (with infection rates ranging from 25.1 to 45%); 38 in the susceptibility (with infection rates ranging from 45.1 to 70%) and finally four in the highly susceptibility (with infection rates of >70.1%). PC1 and PC2 of the GGE-biplot graph created over the years explained 76.49% of the total variation. The GGE-biplot graph provided efficient identification of resistant genotypes. The lowest PC1 values and PC2 values close to 0.0 explained the resistance of pure line to bunt disease best. The resistance of pure lines to bunt disease over the biplot decreased from the first section through the last section. Based on the results of present study, 19 pure lines (located within the first circle of the biplot graph) were selected for resistance breeding programmes against the diseases.Öğe BIPLOT ANALYSIS OF LEAF RUST RESISTANCE IN PURE LINES SELECTED FROM EASTERN ANATOLIAN BREAD WHEAT LANDRACES OF TURKEY(Soc Field Crop Sci, 2017) Akcura, Mevlut; Akan, Kadir; Hocaoglu, OnurThe present research was conducted to determine the reactions of 42 pure lines selected from bread wheat landraces of Eastern Anatolia, Turkey, against the leaf rust (Puccinia triticina) disease under field conditions across 7 environments. G (Genotype), GE (Genotype Environment) biplot analysis method was used to determine the reactions of landraces against leaf rust disease. GGE-biplot graph created to assess leaf rust disease was explained a 78.12% of total variation. While E3 and E2 constituted the first and second mega environments respectively, the other four environments constituted the third and fourth mega environments. The lowest PC1 values and PC2 values close to 0.0 explaining the resistance of pure lines to leaf rust at best in the biplot. Reactions of landraces varied based on their distance from the Average Environment Axis (AEA). While the pure lines with the same or similar reactions in 7 experimental environments fell close to the axis, ones with different reactions in one or more environments were relatively distant. The pure lines of EA15 and EA19 were identified as the most resistant and stable genotypes in all environments when EA42 and EA41 were the most susceptible/stable genotypes in all environments. Pure lines that were resistant or moderately resistant at all seven tested environments should be useful for breeding wheat cultivars with resistance to leaf rust in Turkey.Öğe Changes in the Grain Element Contents of Durum Wheat Varieties of Turkey Registered between 1967-2010(Taylor & Francis Inc, 2020) Hocaoglu, Onur; Akcura, Mevlut; Kaplan, MahmutWhile grain yield is the main consideration in developing new cultivars, grain element compositions were also affected by the process of plant breeding. This research aims to evaluate genotypic variation in thousand kernel weights (TKW), percentages of yellowberry kernels (PYK), boron, calcium, copper, iron, potassium, magnesium, manganese, sodium, nickel, phosphorus, sulfur, and zinc contents in the grains of 29 Turkish durum wheat cultivars (triticum durum) released between 1967-2010. Element contents of grain samples are determined with inductively coupled plasma optical emission spectrometry (ICP-OES). Results of 2 years of field trials indicated significant variation between cultivars in terms of all investigated traits (p < .01). TKW of Turkish durum cultivars along with calcium, copper, and sulfur contents are found to be consistently increasing over time with positive correlations to each other. On the other hand, boron and zinc contents of the grain remained unaffected during the process of plant breeding when sodium contents decreased. We suggest that selecting for new germplasm to increase iron, zinc, and phosphorus contents of durum grain will contribute to the nutritional value of its products.Öğe DECISION MAKING ON NITROGEN MANAGEMENT OF OAT (AVENA SATIVA) USING GRAIN YIELD POTENTIAL AND NITROGEN USE EFFICIENCY(Soc Field Crop Sci, 2020) Hocaoglu, Onur; Akcura, MevlutWhile oat is a major cold-climate cereal in Marmara region of Turkey, little is known about the nitrogen use efficiencies (NUE) of Turkish oat cultivars. This research aims to evaluate NUE, grain yield, and several agronomic traits of 5 oat cultivars in 5 nitrogen applications doses. Field trials were conducted in the Canakkale, Turkey for two growing seasons where NUE, grain yield, plant height, panicle length, grain number per panicle, and grain weight per panicle were determined. Results of variance analysis indicated statistical significance for year, genotype, N dose, and Genotype x N dose effects for all traits. New oat cultivars (Kahraman, Yeniceri, and Sebat) were found to have higher grain yield and NUE compared to the older cultivars (Chekota and Seydisehir). Grain yield response of each cultivar to the increasing N levels were further investigated with regression analysis and Princial Component Analysis (PCA) Biplot. Results suggested that Kahraman has the highest grain yield potential when Sebat and Yeniceri can be recommended for the higher N doses. We conclude that oat breeding efforts of the last decade may have contributed to higher NUE along with improving grain yield of oat cultivars in Turkey.Öğe Determination of Germination Threshold Value of Chickpea Varieties with GGE Biplot Method Under Different Irrigation Water Salinity Conditions(Ankara Univ, Fac Agr, 2022) Tas, Ismail; Tutenocakli, Tulay; Coskun, Yalcin; Akcura, MevlutFor sustainable agricultural production, besides drought, plant resistance to irrigation water and soil salinity should be investigated. Researchers mostly focused on salinity and drought resistance of common species such as wheat, barley, maize, etc. However, the number of studies on chickpea with various uses is quite limited. In the present study, 11 chickpea varieties (Aksu, Arda, Hasanbey, Azkan, Cagatay, Aslanbey, Inci, Seckin, 21C, 42C and EN1867) were subjected to germination tests under different levels of irrigation water salinity (ECi) conditions to identify irrigation water salinity resistant and sensitive varieties. In germination tests, besides control treatment (0 dS/m), five different EC levels (6, 8 10, 12 and 16 dS/m) were used in germination solution. The sodium absorption ratio of saline waters was adjusted to be below 3. GGE biplot method was used for visual assessment of genotype response to saline irrigation waters. The threshold salinity value for germination was identified as 12 dS/m based on germination ratios and seedling dry weights, 8 dS/m based on seedling stem lengths and 10 dS/m based on seedling root lengths. Based on germination ratios and seedling dry weights, Azkan cultivar was identified as the most resistant and Cagatay cultivar was identified as the most sensitive cultivar to irrigation water salinity.Öğe Effects of genotype and environment on grain yield and quality traits in bread wheat (T. aestivum L.)(Soc Brasileira Ciencia Tecnologia Alimentos, 2014) Kaya, Yuksel; Akcura, MevlutGenotype (G), environment (E) and their interaction (GEI) play an important role in the final expression of grain yield and quality attributes. A multi-environment trial in wheat was conducted to evaluate the magnitude of G, E and GEI effects on grain yield and quality of wheat genotypes under the three rainfed locations (hereafter environment) of Central Anatolian Plateau of Turkey, during the 2012-2013 cropping season. Grain yield (GY) and analyses of test weight (TW), protein content (PC), wet gluten content (WGC), grain hardness (GH), thousand kernel weight (TKW) and Zeleny sedimentation volume (ZSV) were determined. Allelic variations of high and low molecular weight glutenin subunits (HMW-GS and LMW-GS) and 1B/1R translocation were determined in all genotypes evaluated. Both HMW-Glu-1, 17+18, 5+10 and LMW-Glu-3 b, b, b corresponded to genotypes possessing medium to good quality attributes. Large variability was found among most of the quality attributes evaluated; wider ranges of quality traits were observed in the environments than among the genotypes. The importance of the growing environment effects on grain quality was proved, suggesting that breeders' quality objectives should be adapted to the targeted environments.Öğe Evaluation of silage quality characteristics and nutritive value of oat genotypes(Springer, 2024) Kaplan, Mahmut; Akcura, Mevlut; Kardes, Yusuf Murat; Beyzi, Selma Buyukilic; Ciftci, Beyza; Kokten, KaganThis study aimed to determine the silage characteristics of oat lines developed through a rigorous 10-year selection process. During this period, 100 plants with high biomass yield were meticulously chosen from oat lines obtained from the Louisiana State University gene bank. Researchers designed experiments using an incomplete randomized block format across two growing seasons: 2014-2015 and 2015-2016. Oat plants were carefully harvested at the milk stage, chopped into pieces using a specialized plant chopper, and ensiled in plastic vacuum bags for subsequent analysis. The samples were then stored at room temperature for a period of 60 days. The comprehensive analysis conducted over this two-year research period revealed significant variations in the silage yields of the genotypes, ranging from 5.71 to 24.42 t ha-1. Moreover, notable variations were observed in the content of crude ash (ranging from 3.952 to 9.380%), ADF (ranging from 27.899 to 40.782%), NDF (ranging from 40.688 to 63.999%), crude protein (ranging from 6.673 to 11.470%), dry matter (ranging from 14.954 to 41.817%), pH levels (ranging from 3.812 to 5.668), in vitro gas production (ranging from 49.793 to 67.847 ml), methane production (ranging from 15.036 to 18.442 ml), as well as concentrations of acetic acid (ranging from 0.000 to 0.144%), lactic acid (ranging from 1.974 to 2.599%), butyric acid (ranging from 0.000 to 0.064%), and propionic acid (ranging from 0.000 to 0.306%). The study clearly indicated that many oat lines showed promising silage properties. Consequently, it is inferred that the utilization of high-yield lines in silage production holds considerable potential in providing a valuable feed source for livestock.Öğe Fast selection opportunity of salt tolerant guar bean genotypes with GGE biplot method(Taylor & Francis Ltd, 2023) Tas, Ismail; Akcura, Mevlut; Coskun, Yalcin; Tutenocakli, TulayIn this study, 81 guar bean genotypes developed in Turkey were tested in the germination stage under saline conditions, and Genotype-Genotype-Environment (GGE) biplot method was used to identify salt tolerant and sensitive genotypes. In the study, irrigation waters with six different Electrical Conductivity (ECi = 0.5 [control], 6, 8, 10, 12, and 15 dS m(-1)) levels were used. Split-plots experimental design was used in the study, and it was carried out in a laboratory environment with three replications. A dry-weight-based stress tolerance index (STI) was calculated for each ECi level. Salt treatments were considered as environments in GGE biplot analysis conducted for genotype selection based on salt concentrations. Seedling dry weight of some genotypes significantly decreased after 8 dS m(-1) level and such decreases were more remarkable in the other genotypes after 12 dS m(-1) level. It was concluded that ECi = 8 dS m(-1) level could be used for selection of genotypes with moderate salt tolerance and high adaptation capacity and ECi = 12 dS m(-1) level could be used for selection of genotypes with a high salt tolerance and special adaptation capacity. It was also concluded that the GGE biplot method quite facilitated the selection of genotypes tolerant to abiotic stressors, especially to salt stress.Öğe Fatty acid and some micro element compositions of cluster bean (Cyamopsis tetragonoloba) genotype seeds growing under Mediterranean climate(Elsevier, 2019) Akcura, Mevlut; Turan, Veysel; Kokten, Kagan; Kaplan, MahmutLimited information is available on fatty acid and mineral composition of cluster bean (Cyamopsis tetragonoloba) genotype seeds grown in Mediterranean climates including Turkey. This study aimed to evaluate seed composition of thirty cluster bean genotypes according to Genotype Trait (GT) biplot analysis. Genotype fatty acid biplot captured 77.6% and genotype micro element biplot captured 65.3% of variation. The results of the present study indicated that oleic acid ranged from 20.07 to 33.62%, linoleic acid ranged from 31.36 to 40.72% in all genotypes. Concentrations of the six micronutrient elements were considerably different in genotypes. Fe and Mn are the most commonly found elements in cluster bean genotypes. Our results depicted that G13 was the most favorable genotype according to fatty acid profile, while G4 and G10 had the highest Fe and Cu contents, and G6 was the most stable genotype according to micronutrient profiles.Öğe Genotype x environment interaction of some dry bean (Phaseolus vulgaris L.) genotypes(Agricultural Research Communication Centre, 2018) Sozen, Omer; Karadavut, Ufuk; Ozcelik, Huseyin; Bozoglu, Hatice; Akcura, MevlutBeans are grown in different environments. The most important issue in bean agriculture is to increase seed yield as expected in other plants. As well reported so far, environmental factors such as rain, heat, their timing and topography affect yield and yield quality in dry beans. So, this study was conducted in 2011-2015 in Samsun (Ambarkopru and Gelemen) and Kirsehir (Mucur and Cogun) locations in order to investigate the effects of the environmental factors on dry bean. For this aim, 20 dry bean genotypes (7 cultivars and 13 pure lines) were used as plant materials. Results showed that G5, G11 and G15 genotypes were close to ideal genotypes. When the year was considered as the environmental factor, the ideal production year was in 2013 with respect to yield and yield quality, concluding that climate changes between years affected yield parameters in dry bean genotypes.Öğe GREEN HERBAGE YIELD ASSESSMENTS OF MAIZE CULTIVARS THROUGH GGE BIPLOT ANALYSIS METHOD(Soc Field Crop Sci, 2017) Kokten, Kagan; Kaplan, Mahmut; Akcura, MevlutThe present study was conducted to assess green herbage yields of hybrid maize cultivars grown under different environments for two years. GGE biplot analysis method and regression coefficients were used to assess genotype x environment interaction and to identify the most stable cultivars for green herbage yield. Experiments were conducted in six different environments, green herbage yields in the environments varied between 6.0 t da(-1) (E5) and 10.4 t da(-1) (E1) and green herbage yield yields of the cultivars varied between 6.8 t da(-1) (G14) and 10.9 t da(-1) (G18). In GGE biplot analysis, the first two principle component (PC) axis explained about 82.45% of total variation. The genotypes with high PC1 and low PC2 values and regression coefficient of 1.0 were assessed as stable. The cultivar Safak (G18) with such values was identified as the most stable cultivar. The regression coefficient of 1.0 and the greatest green herbage yield proved the stability of that cultivar. The cultivars with higher PC1 and lower PC2 values [30B74 (G2), Seme Kukuruza 877 (G22), ADV 2898 (G24), Wayne (G17), and Safak (G18)] generally had higher green herbage yield than the general average. Safak (G18), 30B74 (G2), Seme Kukuruza 877 (G22), ADV 2898 (G24) and Wayne (G17) cultivars can be use green herbage yield production in south eastern Anatolia will allow the growers to have a profitable production.Öğe GROAT ELEMENT CONCENTRATION AT DIFFERENT SPIKELETS OF OAT PANICLES (Avena Sativa L.) EVALUATED AT THREE TURKISH LOCATIONS(Soc Field Crop Sci, 2012) Kara, Rukiye; Dokuyucu, Tevrican; Demirkiran, Ali Riza; Dumlupinar, Ziya; Akcura, Mevlut; Akkaya, AydinThis research was carried out to determine the variation in spikelet groups, genotypes and environments for macronutrient (Ca, Mg and K) and micronutrient (Na, Cu, Fe, Mn and Zn) concentrations of oat (Avena saliva L.) groat. The panicles of 16 Turkish oat (Avena sativa L.) genotypes were obtained from three locations; Kahramanmaras, Konya and Cumra in Turkey in 2002-2003 cropping year. The panicles of each variety were divided into three spikelet groups as basal spikelet (BS), central spikelet (CS) and apical spikelet (AS). The oat groats belonging to spikelet groups were pooled to determine macronutrient and micronutrient concentrations. The results indicate that grain number (GNP) and grain weight per panicle (GWP) were significant for locations (L), genotypes (G) and spikelet groups (SG). Genotypes were significantly different for Ca, Mg and K concentrations. Locations had significant effect on Ca and Mg concentrations while there were not any significantly differences for spikelet groups. Locations had significantly effect on micronutrient concentrations (Na, Cu, Mn and Zn) except Fe concentration of oat groats. Genotypes were significantly different for all micronutrient concentrations, while spikelet groups were significant for only Zn concentrations. Location x genotype (L x G) interaction was significant for all micronutrient concentrations, while L x G interaction was significant for Ca and Mg concentrations in macronutrients.Öğe GT-biplot analysis of some biochemical characteristics and mineral composition of different sorghum (Sorghum bicolor L.) sprouts(Wiley, 2022) Karaman, Kevser; Kardes, Yusuf Murat; Doran, Turhan; Akcura, Mevlut; Kaplan, MahmutBackground and Objectives The nutritional value of the sprouts has gained interest in recent years because of supplying to fiber, vitamins, minerals, and bioactive compounds such as antioxidants into the diet. The aim of the present study was to reveal the nutritional characteristics of the different sorghum genotypes exposed to sprouting process. For this purpose, some biochemical characteristics and basic mineral profiles of the sorghum sprouts were investigated. Findings According to the results, protein content ranged between 12.17% and 32.24% while the lowest total starch content was determined as to be 3.37% and the highest was 32.71%. Besides, dietary fiber content was in the range of 30.27%-46.42%. Total phenolic content and antiradical activity values of the sprouts were determined as in the range of 3.61-8.42 mg GAE/g and 11.63%-19.51%, respectively. Conclusion The results showed that the sprouting process improved the nutritional quality of sorghum compared to grains and also significant variation was observed among the genotypes in terms of examined properties. Significance and Novelty The results showed that the nutritional parameters especially phytic acid levels of the sorghum grains could be decreased by sprouting process.Öğe Mineral concentrations of grain of bread wheat landraces originated from eastern Anatolia of Turkey(Mattioli 1885, 2018) Kokten, Kagan; Akcura, MevlutThe objectives of this research were to investigate the interrelationships among some mineral concentrations (Fe, Zn, B, Mn, Cu, Mo, K, Mg and Ca) in grain and to evaluate different eastern Anatolian bread landraces with application of the genotype x trait (GT) biplot methodology in visualizing research data. 69 bread wheat genotypes (67 pure lines and 2 cultivars). Fe, Zn, B, Mn, Cu, Mo, K, Mg and Ca contents of bread wheat genotypes changed at the levels between 32.54 and 51.25 mg kg(-1), 23.00 and 37.16 mg kg(-1), 6.62 and 14.67 mg kg(-1), 30.17 and 50.00 mg kg(-1), 4.04 and 6.88 mg kg(-1), 0.88 and 1.23 mg kg(-1), 2.19 and 5.62 g kg(-1),1.04 and 1.72 g kg(-1), and 0.37 and 0.55 g kg(-1), respectively. Among minerals, B, Zn and Fe concentrations were the most discriminating with the longest vectors from the origin in the biplot. Landraces L10, L48, L2, L55, L17, L14, L36, L16, L53, L22, L32, L53 L65 and Kirik cultivar were the best or the poorest landraces in some or all of the traits since they had the longest distance from the origin of biplot. Among the mineral contents, Fe content was positively correlated with Zn and Mn content. Tie association of Zn with Mn was positive and significant. B content positive and significant correlated with Mo content. Both Zn and Fe content was negative significant correlated with Ca. The GT biplot method can be used to identify both ideal genotypes and mineral contents in other crops.Öğe Modelling the Effect of Irrigation Deficit on Maize Growth with Logistic Regression(Taylor & Francis Inc, 2023) Hocaoglu, Onur; Gonulal, Erdal; Akcura, MevlutThis research is conducted to model the limiting effects of irrigation deficit on maize growth which is a major challenge in dry areas. Field trials were conducted in completely randomized block design with three replications in Konya region (Turkey) during 2020 and 2021 growing seasons between May and August. Dry matter (DM) increase of maize was assessed on weekly intervals under four irrigation treatments, configured as %100, 75, 50 and 25 of the field capacity. Curve fitting with Logistic regression model demonstrated gradual decreases of maximum DM (from 496.331 to 254.119 g) and maximum growth rate (49,95 to 29,47 g/weeks) in average due to irrigation deficit when accurately modeling the DM accumulation with the varying R-2 values between 0.979 and 0.995. Results of logistic regression curves and IWUE suggested that even 25% restriction of irrigation water caused an average of %25.5 decrease on DM when 50% and more restriction could be associated with water stress. Additionally, irrigation water use efficiency (IWUE) was increased after the maximum acceleration point (MAP) which coincided with tasseling stage and inflection point (IP) where growth rate reaches to maximum, indicating that these periods were critical for maize in terms of preventing water deficiency.
