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Now showing items 2771-2790 of 3905
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Postharvest quality of grape tomatoes treated with 1-methylcyclopropene at advanced ripeness stages
(2006)Grape tomatoes (Lycopersicon esculentum Mill. ‘Santa’) harvested at light-red (>90% color) and full-red stages were treated with 1 µL·L–1 1-methylcyclopropene (1- MCP) for 24 hours at 20 °C and stored at 20 °C. After 1 ... -
Postharvest quality of ‘Galaxy’ apple fruit in response to kaolin-based particle film application
(2012)Kaolin-based film as Surround WP® was applied to ‘Galaxy’ apple trees to evaluate its effects on postharvest fruit quality. Following harvest, the Surround WP® on the fruit skin was either wiped off, or left unwiped, ... -
POTENTIAL NUTRITIVE VALUE OF ASTRAGALUS SPECIES HARVESTED AT THREE DIFFERENT MATURITY STAGES
(2017)The present study was conducted to investigate the effects of maturity stages on the chemical composition, in vitro gas and methane production, metabolic energy and organic matter digestibility for eleven Astragalus species ... -
POTENTIAL NUTRITIVE VALUE OF ASTRAGALUS SPECIES HARVESTED AT THREE DIFFERENT MATURITY STAGES
(APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2017-11-17)The present study was conducted to investigate the effects of maturity stages on the chemical composition, in vitro gas and methane production, metabolic energy and organic matter digestibility for eleven Astragalus species ... -
Potential nutrıtıve value of Astragalus species harvested at three different maturity stages.
(2017)The present study was conducted to investigate the effects of maturity stages on the chemical composition, in vitro gas and methane production, metabolic energy and organic matter digestibility for eleven Astragalus species ... -
Potential of Laurencia obtusa as a substrate for the development of a probiotic Saccharomyces cerevisiae
(2017)Laurencia obtusa (Ceramiales, Rhodophyta) has tremendous nutritional value, being high in proteins, oligosaccharides, vitamins, essential minerals, and fatty acids, and it is a rich source of amino acids and trace elements. ... -
Potential of pistachio shell biochar and dicalcium phosphate combination to reduce Pb speciation in spinach, improved soil enzymatic activities, plant nutritional quality, and antioxidant defense system
(2020)Lead-contaminated soils are becoming an ecological risk to the environment because of producing low-quality food which is directly causing critical health issues in humans and animals. We hypothesized that incorporation ... -
Powder injection molding of Stellite 6 powder: Sintering, microstructural and mechanical properties
(2016)The purpose of this study was to produce Co-based Stellite 6 superalloy components by using the method of Powder Injection Molding (PIM) and to characterize the microstructural and mechanical properties of the produced ... -
Powder metallurgy Mg-Sn alloys: Production and characterization
(2020)In this study, Mg-Sn alloys were produced with the addition of Sn to Mg powder at different ratios through the Powder Metallurgy (P/M) method. A new mixing technique was used in the production to avoid the disadvantages ... -
Powder metallurgy mg-sn alloys: Production and characterization
(2020)In this study, Mg-Sn alloys were produced with the addition of Sn to Mg powder at di erent ratios through the Powder Metallurgy (P/M) method. A new mixing technique was used in the production to avoid the disadvantages of ... -
Power converters modeling in Matlab/Simulink for microgrid simulations
(2016)Smart grid is a developing field for energy researchers. It offers technological improvements to have more controllable, reliable and sustainable power grids. Especially, the decreasing trend of fuels has pressurized to ... -
Power management of a hybrid energy storage system in a domestic microgrid
(2018)This paper presents a power control strategy for a grid connected domestic PV system included hybrid energy storage devices. The strategy aims to minimize utility grid dependency of the users in addition to considering ... -
Power Quality Event Classification Using Least Square-Support Vector Machine
(2016-03-19)In this manuscript, a discrete wavelet transform and statistical feature extraction based intelligent pattern recognition system is presented which is efficacious to classify power quality disturbance events like voltage ... -
Power Quality Event Detection Using a Fast Extreme Learning Machine
(2018)Monitoring Power Quality Events (PQE) is a crucial task for sustainable and resilient smart grid. This paper proposes a fast and accurate algorithm for monitoring PQEs from a pattern recognition perspective. The proposed ... -
Power quality event detection using a fast extreme learning machine
(2018)Monitoring Power Quality Events (PQE) is a crucial task for sustainable and resilient smart grid. This paper proposes a fast and accurate algorithm for monitoring PQEs from a pattern recognition perspective. The proposed ... -
Prangos aricakensis (apiaceae), a new species from eastern Turkey
(2019)Prangos aricakensis is described and illustrated as a new species from eastern Anatolia (Turkey), where it is known from a single locality in Arıcak (Elazığ) district. Its diagnostic characters are discussed and taxonomic ... -
Predicting egg production in chukar partridges using nonlinear models and multivariate adaptive regression splines (MARS) algorithm [Vorhersage der eiproduktion bei chukarhühnern mit nichtlinearen modellen und multivariate adaptive regression splines (MARS)-algorithmen]
(2020)The aim of this study was to compare Grossman-Koops, cubic and segmented polynomial models with an alternative non-parametric regression technique called multivariate adaptive regression splines (MARS) algorithm for ... -
Predicting the current and future potential distributions of Anatolia Newt, Neurergus strauchii (Steindachner, 1887), with a new record from Elaziǧ (Eastern Anatolia, Turkey)
(2016)Here, the current and future distributions of Neurergus strauchii was predicted by using the maximum entropy ecological niche modeling. The most important factors which shaped the present distribution of the species are ... -
Prediction of Body Weight of Turkish Tazi Dogs using Data Mining Techniques: Classification and Regression Tree (CART) and Multivariate Adaptive Regression Splines (MARS)
(2018)Body weight of dogs is crucial trait for breeding, racing and housekeeping. However, variables and factors that correctly estimate this trait are lacking. Here, we applied classification and regression tree (CART) and ... -
Prediction of body weight of Turkish tazi dogs using data mining Techniques: Classification and Regression Tree (CART) and multivariate adaptive regression splines (MARS)
(2018)Body weight of dogs is crucial trait for breeding, racing and housekeeping. However, variables and factors that correctly estimate this trait are lacking. Here, we applied classification and regression tree (CART) and ...