Bu çalışma, bazı yem bezelyesi hat ve çeşitlerinin tohum verimi, kes verimi ve kes kalitesini belirlemekamacıyla 2014-2015 yılları arasında iki yıl süreyle yürütülmüştür. Çalışmada materyal olarak 6 adet yem bezelyesihattı ve 8 adet yem bezelyesi çeşidi olmak üzere toplam 14 genotip kullanılmıştır. Araştırma tesadüf blokları denemedesenine göre üç tekerrürlü olarak kurulmuştur. Araştırmada; tohum verimi, kes verimi, bin tane ağırlığı, keste hamkül, ham protein oranı, ham protein verimi, asit çözücülerde çözünmeyen lif (ADF), nötr çözücülerde çözünmeyenlif (NDF), sindirilebilir kuru madde (SKM), kuru madde tüketimi (KMT) ve nispi yem değerlerine (NYD) ilişkinveriler ele alınmıştır. Araştırma sonucunda; tohum verimi 33.8-180.2 kg da-1, kes verimi 160.3-887.0 kg da-1, bintane ağırlığı 99.1-150.2 g, ham kül oranı %9.42-11.19, ham protein oranı %6.54-11.91, ham protein verimi 11.9-104.9 kg da-1, ADF %29.5-39.8, NDF %39.1-51.2, SKM %57.9-65.9, KMT %2.35-3.08 ve NYD 105.5-157.4arasında değişmiştir. İncelenen parametreler açısından; Gatem, Ürünlü, Gölyazı ve Spring Pea 3-638 genotiplerininBingöl ekolojik koşullarında üstün özellikler göstererek öne çıktığı tespit edilmiştir.

The purpose of this study was to ascertain the fresh herbage yield, fertilizer dosage, and plant characteristics of the Sorghum-Sudangrass hybrid grown in arid and semi-arid regions, as well as their interrelationships. For this reason, data from the Sorghum-Sudangrass hybrid were used to assess the predictive performance of several data mining techniques, including CHAID, CART, MARS, and Bagging MARS. Plant traits were measured in Konya and Sanliurfa during 2021 and 2022. The descriptive statistical values were calculated as follows: plant height 306.27 cm, stem diameter 9.47 mm, fresh herbage yield 10852.51 kg/da, crude protein ratio 9.66%, acid detergent fiber 33.39%, neutral detergent fiber 51.85%, acid detergent lignin 9.76%, dry matter digestibility 62.88%, dry matter intake 2.34%, and relative feed value 114.68 (average values). The predictive capacities of the fitted models were assessed using model fit statistics such as the coefficient of determination (R²), adjusted R², root mean square error (RMSE), mean absolute percentage error (MAPE), standard deviation ratio (SD ratio), and Akaike Information Criterion (AIC). With the lowest values for RMSE, MAPE, SD ratio, and AIC (246, 1.926, 0.085, and 845, respectively), and the highest R² value (0.993) and adjusted R² value (0.989), the MARS algorithm was determined to be the best model for characterizing fresh herbage yield. As a solid alternative to other data mining techniques, the MARS algorithm was shown to be the most appropriate model for forecasting fresh herbage production.

The sorghum x sudangrass hybrid is highly significant as a biofuel crop due to its high biomass production, drought tolerance, ability to adapt to various climatic conditions, and high sugar content in its stems. This research aimed to determine the effects of six different nitrogen dose treatments on ethanol yield, yield parameters, and fertilizer use relationships in sorghum x sudangrass hybrid plants at two locations in 2021 and 2022. The experiment was established according to the randomized block design with three replicates. Nitrogen treatments were applied as N0 (0 kg da-1), N5 (5 kg da-1), N10 (10 kg da-1), N15 (15 kg da-1), N20 (20 kg da-1) and N25 (25 kg da-1). Juice ethanol yield (JEY), lignocellulosic ethanol yield (LEY), and theoretical ethanol yield (TEY) values varied between 123.8 - 219.0 L da-1, 522.2 - 955.1 L da-1 and 646.0 - 1174.2 L da-1, respectively. It was determined that JEY, LEY, and TEY values increased as the amount of nitrogen increased. In the correlation analysis, a high positive relationship was found between all traits except ADL. As a result of the orthogonal comparison, it was found that the amount of nitrogen dose should be increased for JEY, LEY, and TEY. Principal components (PCA) biplot analyses explained 92.9% of the relationships between the studied parameters and nitrogen dose levels. This study conducted over two years and in two locations, determined that sorghum x sudangrass hybrid cultivation could be realized in terms of bioethanol yield under different nitrogen dose levels. It also appeared that the ethanol yield potential is high

Bu araştırma, Türkiye’nin Doğu Anadolu Bölgesi’nde yer alan Bingöl ili, Merkez ilçesi, Ormanardı Köyü’nde bulunan doğal bir meranın dört değişik yöneyinin verim ve kalite bakımından karşılaştırılması amacıyla yapılmıştır. Çalışmada; ağırlığa göre botanik kompozisyon, kuru ot verimi, otlatma kapasitesi, ham protein (HP) oranı ve verimi, asit deterjanda çözünmeyen lif (ADF) oranı, nötral deterjanda çözünmeyen lif (NDF) oranı, kuru madde tüketimi (KMT), sindirilebilir kuru madde tüketimi (SKM) ve nispi yem değeri (NYD) özellikleri incelenmiştir. Araştırmada, ağırlığa göre botanik kompozisyonun % 67.5’ini buğdaygiller, % 32.5’ini diğer familyalara ait bitkiler oluştururken, botanik kompozisyon içinde baklagil bitkisinin olmadığı tespit edilmiştir. Çalışmada kuru ot veriminin, mera yöneylerine göre 23.2-129.3 kg da-1 arasında değiştiği ve mera yöneylerinin kuru ot verimi değerleri açısından istatistiksel olarak önemli olduğu saptanmıştır (p<0.01). Meranın otlatma kapasitesi 18.4 HB (Hayvan birimi) olarak hesaplanmıştır. Araştırma sonucunda, HP verimi ve HP oranı, ADF, NDF, KMT, SKM ve NYD sırasıyla; 2.3-16.7, % 9.9-12.9, % 34.8-37.4, % 52.5-62.7, % 1.92-2.08, % 59.7-61.7 ve 91.8-109.4 arasında olduğu tespit edilmiştir.

In this study, the effect of morphological traits on fresh herbage yield of sorghum x sudangrass hybrid plant grown in Konya province, which is the largest cereal production area in Turkey, was analyzed with some data mining methods. For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. Plant height of 251.22 cm, stem diameter of 7.03 mm, fresh herbage yield of 8010.69 kg da^-1, crude protein ratio of 9.09%, acid detergent fiber 33.23%, neutral detergent fiber 57.44%, acid detergent lignin 7.43%, dry matter digestibility of 63.01%, dry matter intake 2.11%, and relative feed value of 103.02 were the descriptive statistical values that were computed. Model fit statistics, including coefficient of determination (R²), adjusted R², root of mean square error (RMSE), mean absolute percentage error (MAPE), standard deviation ratio (SD ratio), Mean Absolution Error (MAE) and Relative Absolution Error (RAE), were used to evaluate the prediction abilities of the fitted models. The MARS method was shown to be the best model for describing fresh herbage yield, with the lowest values of RMSE, MAPE, SD ratio, MAE and RAE (137.7, 1.488, 0.072, 109.718 and 0.017, respectively), as well as the highest R² value (0.995) and adjusted R² value (0.991). The experimental results show that the MARS algorithm is the most suitable model for predicting fresh herbage yield in sorghum x sudangrass hybrid, providing a good alternative to other data mining algorithms.