Toprak verimliliğini artıran en önemli faktörlerin başında toprak organik madde miktarı gelmektedir. Toprak organik maddesini artırmanın yollarının başında organik gübrelerin ilavesi gelmektedir. Çalışmada Yemsoy soya fasülyesi çeşidi kullanılmıştır, tesadüf blokları deneme desenine göre 3 tekerrürlü olarak saksı çalışması yürütülmüştür. Çalışmada torf perlit karışımına üç farklı gübre dozu (EC 0-0,5–1), üç farklı üzüm posası kompostu (%0–20–40) ve bu ortamlara mikoriza ve bakteri aşılaması şeklinde gerçekleştirilmiştir. Bitkiler 60 günlük bir yetiştirme süresi sonunda saksı üstü kısmından hasat edilerek ölçümler yapılmıştır. Çalışmada artan gübre oranlarında yetiştirilen soya bitkisinin toprak üstü yaş ve kuru ağırlıkları, kök yaş ve kök kuru ağırlıklarında artışlar yaşanmıştır. Yetiştirme ortamına kompost katılması, mikoriza ve bakteri katılması incelenen özelliklerde farklı sonuçlar ortaya çıkmasına sebep olmuştur. Kompost ve bitki besleme dozlarının artışı bitki gelişimini artırmada etkili olmuştur.

In this study, alkali dietary fiber extraction method was evaluated to obtain soluble and insoluble dietary fiber from Trigonella-foenum graecum L. (fenugreek) seeds. The process conditions of alkali extraction method ensuring the highest total dietary fiber yield were investigated by response surface methodology. Furthermore, some physicochemical and functional properties of extracted soluble and insoluble dietary fiber from fenugreek seeds such as water retention capacity, oil adsorption capacity, swelling capacity, glucose adsorption index and α-amylase inhibition capacity were determined. Total dietary fiber yield was 78% at 52.50 g/L of sample: NaOH ratio and 1.01 M NaOH concentration as the optimum process conditions. Furthermore, insoluble dietary fiber gave better results than soluble dietary fiber when physicochemical and functional properties were compared.

The objective of this study was to compare predictive performances of four machine learning (ML) models: Support Vector Machines with Radial Basis Function Kernel (SVMR), Classification and Regression Trees (CART), Random Forest (RF) and Model Average Neural Networks (MANN) to predict live weight from morphological measurements of Norduz sheep (n=93). Seven morphological measurements; chest girth (CG), chest width (CW), chest depth (CD), height at withers (HW), body length (BL), heigth at rump (HR) and rump width (RW) were used to predict live weigth (LW) of Norduz sheep. All morphological measurements were positively correlated to LW. Live weight had the highest correlation with CG and the lowest correlation with HR. Initially, highly correlated predictors were removed from the data set. The remaining predictors were then subjected to variable selection procedures using the Boruta algorithm. The results of Boruta confirmed the importance of the four predictors HW, BL, CW, and CD. However, HR confirmed to be unimportant was excluded from the dataset. The ML models were trained on selected predictors. The results showed that the prediction performance validated using the test dataset indicated that RF had the lowest values of Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percent Error (MAPE). The permutation-based variable importance scores indicate that CW and CD were the most important variables in predicting LW. The actual LW had the highest significant positive correlations with the values predicted by SVMR and RF, and followed by ANN and CART models respectively. There were no differences between the means of actual and predicted LWs by machine learning models. The fact that the models generalized well on the testing data sets indicates that machine learning algorithms have valid predictive patterns and are effective methods in LW weight of Norduz sheep. Considering runtime of the models, although the CART model had the lowest computational cost, it had the worst performance. The MANN algorithm, on the other hand, required a longer runtime to process the same dataset.

The objective of this study was to find out the performance of a seeding unit metering coriander seeds (Coriandrum sativum L.) with a fluted roll. As a first step for the determination of the performance of the metering unit, flow rate measurements were achieved at a combination of five roll lengths and ten different rpm values with three replications. The coefficient of variation (CV, %) was calculated and each CV value was used to characterize the flow evenness. The seed distributions were obtained at three seeding rates (15, 20 and 25 kg ha-1) and three forward speeds (1.0, 1.5 and 2 ms-1). The data obtained from the sticky belt test stand experiments; the seed distribution uniformity was evaluated based on two performance criterion. One of them was the variation factor (Vƒ) and the other one was the goodness criterion (λ). The CV (%) values of flow evenness were found to vary between 0.28 and 1.05%. On the other hand, the variation factor (Vƒ) values were found to range from 0.65 to 0.83 and these values indicated that the seeding can be characterized as precision seeding at all combinations of three seeding rate and three forward speeds. The goodness criterion (λ) values varied between 69 % and 77.3%. Based on the evaluation range of the goodness criterion (λ), the seeding at a seeding rate of 15 kg ha-1 and forward speed of 1.0 ms-1 along with the seeding rate of 20 and 25 kg ha-1 at a forward speed of 1.0 and 1.5 ms-1 was classified as very good. The rest of the four seeding rates and forward speeds combinations, the goodness criterion (λ) was evaluated to be good quality.

Medicinal and aromatic plants are valuable sources of herbal products worldwide due to their secondary metabolite content, high antioxidant activities and many other biological activities. As a result of the developing technology, the demand for natural active substances obtained from plants has increased. For use, plants collected from nature do not have the desired quality standards. For this reason, sustainability can be achieved by using microbial inoculants as well as many biotechnological and molecular approaches such as micro propagation, synthetic seed technology to increase the yield and quality standards of medicinal and aromatic plants. Thanks to microbial inoculants, yield increase can be realized and at the same time, product quality can be contributed due to increased soil quality. In this review, it was aimed to evaluate the important roles of plant growth promoting rhizobacteria (PGPR), Arbiscular mycorrhizal fungi and Trichoderma inoculants in increasing productivity, nutrient uptake and resistance of medicinal and aromatic plants to environmental stresses in the light of literature. In this review, the variation in the resistance of plants to environmental stresses is summarized by evaluating the ultimate effects of microbial inoculants alone and in combination. In addition, it has been added to the evaluation in studies to prevent the decrease of secondary metabolite content formed under environmental stress conditions in medicinal and aromatic plants by microorganisms.

Lemna minor L. is an aquatic plant that is resistant to hard conditions, is a fast growing, rapidly multiplying vascular floating macrophyte, and is widely distributed in wetlands in our country and around the world. Lemna minor L., also known as duckweed, contains essential nutrients such as proteins, carbohydrates and fats, as well as various secondary metabolites that are beneficial for humans. Therefore, it is a remarkable source of alternative food. In addition to its traditional medical use, it is thought that taking into account in the development of herbal medicines and cosmetics today in the light of scientific studies will be beneficial in terms of developing value-added products and bringing them into the economy. In this review, studies and articles on the usability of Lemna minor L. in the field of health and nutrition are reviewed and presented with an overview.

An experiment was carried out at the ICAR-KVK Research farm, HansRoever Campus, Perambalur, Tamil Nadu, India during the Kharif season (July to October), 2020 to study the effect of agronomic biofortification through integrated nutrient management on hybrid maize (biofortified and non-biofortified). The experiment was laid out in Split Plot Design having 36 treatment combinations of hybrids and nutrients and replicated thrice. The treatment sources consisted of two main plots of maize hybrids (M1: Non-biofortified and M2: biofortified), and six sub-plots of nutrients (S1: 100 % Recommended Dose of Fertilizer RDF through Nitrogen, Phosphorus, Potassium, S2: 100 % RDF through Farm Yard Manure, S3: 50% RDF through NPK + 50% RDF through FYM, S4: S1+ Iron and Zinc as foliar application @0.5% conc, S5: S2 + Iron and Zinc as foliar application @0.5% conc, S6: S3 + Iron and Zinc as foliar application @0.5% conc.). The recommended dose of fertilizer was NPK 150:75:75 kg ha-1. Application of 50% RDF through NPK + 50% RDF through FYM with Fe and Zn as foliar application @0.5% conc (S6) at 45 (active vegetative stage) and 90 (grain filling stage) days after sowing, significantly increased all the growth and yield attributes, grain and stover yield, quality attributes and nutrient uptake by maize. Among the nutrient levels, higher grain yield (8.2 t ha-1) and stover yield (10.16 t ha-1), quality attributes, and nutrient uptake were recorded with the application of 50% RDF through NPK + 50% RDF through FYM with Fe and Zn as foliar application @0.5% conc (S6). Similarly, significant net return (INR 78,767) and benefit cost ratio (3.07) were noted with the application of 100% RDF through NPK (S1) followed by 50% RDF through NPK + 50% RDF through FYM with Fe and Zn as foliar application @0.5% conc (S6). Hence, integrated nutrient management with agronomic biofortification @0.5% conc., at 45th and 90th DAS should be adopted to obtain maximum grain yield, net profit, and nutrient uptake by Kharif maize.

Moringa oleifera Lam. is one of the most used plants in traditional medicine because of its high antioxidant properties. The antioxidant value, nonetheless, depends on locality where the plant is grown as well as specific parts on the plant. In this study, a phytochemical and antioxidant activity comparison of M. oleifera leaves, seeds and barks were carried out. Fresh leaves, seeds and barks were collected from 2 to 3 years old M. oleifera trees of Bukavu city of South Kivu province in DRC and Masii village of Machackos County in Kenya. A total of 300g of each dried sample powder was mixed with 700 mL of distilled water. Qualitative and quantitative assessment of alkaloids, saponins, phenols, flavonoids, glycosides, terpenoids and tannins were performed following standard methods while the antioxidant activity was assessed using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay. Results indicate that only alkaloids were absent in leaves from Kenya and DRC while phenols, flavonoids and tannins were absent in barks. Glycoside in seeds from DRC had the highest concentration (6.17%) followed by alkaloids in seeds from Kenya (5.56%). There was low concentration of terpenoids and flavonoids in all samples compared to other compounds. The highest extract yield was found in leaves from DR Congo (22.5%) and seeds from Kenya (20%). At the highest concentration (10 µg/mL), leaves from Kenya (88.29±1.12 µg/mL) and DRC (80.17±3.59 µg/mL) had the highest percentage inhibition of reactive oxygen-free radicals but lower than the reference standard (92.63±2.76 µg/mL). Leaves from Kenya (23.59 μg/mL) and DRC (28.67 μg/mL) had the highest IC50 compared to mean values of seeds and barks from the two countries. M. oleifera leaves, especially from Kenya, are recommended as a satisfactory antioxidant but can be substituted with seeds and/or barks in order to alleviate the use of leaves which are overused these days.

This study was carried out to determine the effects of different doses (10, 20 and 30%) of sumac shrub leaf substitution instead of corn silage in sheep rations on in vitro gas and methane production, metabolic energy (ME), net energy lactation (NEL) and organic matter digestion degree. Sheep ration consisting of corn silage (20%), alfalfa straw (22.5%), dry meadow grass (20%), and commercial feed (37.5%) constituted the control group. The experimental groups were formed by substituting 10 (S1), 20 (S2) and 30 (S3) percent sumac shrub leaves for corn silage in the control (C) group formed the experimental groups. The effect of sumac shrub leaf substitution on in vitro gas and methane production, metabolic energy, net energy lactation, and organic matter digestion degree was found to be significant. The 24-hour in vitro gas production values of rations ranged between 43.11- 46.77 ml/200 mg DM, methane production values 6.8-7.48 ml, metabolic energy values 8.91-9.41 MJ/kg DM, net energy lactation, 5.59-5.95 MJ/kg DM and organic matter digestion degree values found between 64.25 and 67.61%. As a result, it was determined that increasing doses of sumac shrub leaf substitute reduced gas and methane production. In addition, it was concluded that the data obtained should be supported by determining the microorganism counts, feed consumption amounts, and feed efficiency coefficients with in vivo studies.

This study was carried out as a pot experiment in controlled greenhouse conditions in order to reveal the effect of microalgae [Chlorella vulgaris Beyerinck (Beijerinck)] application on plant growth of rocket salad (Eruca vesicaria ssp. sativa Mill.) in different doses of fertilizer applications. Sieved soil in 3-liter pots was used as the growing medium. Equal amount of irrigation was applied to all pots during the period from seed sowing to the end of the experiment. Microalgae application was applied twice (100 ml and 150 per pot) to the seedling growing medium. As chemical fertilizer, 0%, 50% and 100% of NPK (160 mg N kg-1, 80 mg P2O5 kg-1, and 100 mg K2O kg-1) were applied. As parameters in rocket plants, shoot length, shoot fresh weight, shoot dry weight, stem diameter, leaf area, leaf relative water content, membrane damage index, total soluble content, and some nutrients (K, Ca, Na, Zn, Cu, and Mn) contents were examined. According to the data obtained, microalgae applications were found to have a positive effect on plant growth in general. It was observed that the values increased in most parameters examined in algae-applied applications compared to the control group. Among the applications, the best values were found in 50% fertilizer + microalgae and 100% fertilizer + microalgae applications.