Stimulated effect of organic and inorganically originated transitory nitrogen sources on the nutrient concentration, uptake and production of hybrid maize

Soil productivity one of the essential factors which enhanced either through adding the chemical fertilizer or by incorporation of organic sources of nutrients to the soil. Regardless by the used of imbalanced fertilizer without the application of organic manure and without seeking knowledge of crops and fertility classification of soil causes to much hazards such as deterioration of soil structure, soil and water pollution etc. Two years field experiment was carried out to check the impact of transitory nitrogen sources on the nutrient concentration, uptake and production of hybrid maize at the Agronomic Research Area, University of Agriculture Faisalabad, Pakistan, during the year 2008-2009. Treatments included two hybrids: H1 (Pioneer-30Y87) and H2 (Pioneer-31R88) with six nitrogen sources each, which included at the rate of S0: control (0) kg N ha-1, S1: chemical source (urea) 250 kg N ha-1, S2: poultry manure (PM) 9.6 t ha-1, S3: farm yard manure (FYM) 17.8 t ha-1, S4: pressmud of sugarcane (PMS) 8.5 t ha-1 and S5: compost (C) 10.0 t ha-1. Finding concluded that changing effect of nitrogen sources on both maize hybrid was found to be non significant during 2008-2009 while grain yield was significant during both years. Maximum nutrient concentration, uptake and yield were observed with nitrogen source S1: chemical source (urea) 250 kg N ha-1 during 2008-2009 as compared to other nitrogen sources and minimum was found in control (0) kg N ha-1, respectively. Interaction among hybrid and nitrogen sources was found to be non significant

Evaluating the potential effect of seed priming techniques in improving germination and root shoot length of maize seed

The present research was conducted under laboratory conditions. The purpose of research was to investigate the potential of priming with press mud, peat moss, sand, gunny bags, compost, farm yard manure and moringa leaf extract (MLE) on seedling growth and germination capacity of maize seed. Untreated or non-primed seeds were used as a control treatment. Priming treatments improved germination capacity, stand establishment and seedling vigor, compared with control. Priming with moringa leaf extract enhance germination and seedling vigor of maize seed, compared with the control and other seed primed treatments. In moringa leaf extract primed seeds, root and shoot growth was improved. Overall, moringa leaf extract primed maize seeds performed better than all other treatments and it could be related by seedling vigor enhancement and lowering the mean germination time, due to imbibition of higher quantity of water and earlier enzymatic activity. The results propose that moringa leaf extract priming treatment had the potential to enhance germination, stand establishment and early growth of maize seeds

Stimulated Effect of Organic and Inorganically Originated Transitory Nitrogen Sources on the Nutrient Concentration, Uptake and Production of Hybrid Maize

Soil productivity one of the essential factors which enhanced either through adding the chemical fertilizer or by incorporation of organic sources of nutrients to the soil. Regardless by the used of imbalanced fertilizer without the application of organic manure and without seeking knowledge of crops and fertility classification of soil causes to much hazards such as deterioration of soil structure, soil and water pollution etc. Two years field experiment was carried out to check the impact of transitory nitrogen sources on the nutrient concentration, uptake and production of hybrid maize at the Agronomic Research Area, University of Agriculture Faisalabad, Pakistan, during the year 2008-2009. Treatments included two hybrids: H1 (Pioneer-30Y87) and H2 (Pioneer-31R88) with six nitrogen sources each, which included at the rate of S0: control (0) kg N ha-1, S1: chemical source (urea) 250 kg N ha-1, S2: poultry manure (PM) 9.6 t ha-1, S3: farm yard manure (FYM) 17.8 t ha-1, S4: pressmud of sugarcane (PMS) 8.5 t ha-1 and S5: compost (C) 10.0 t ha-1. Finding concluded that changing effect of nitrogen sources on both maize hybrid was found to be non significant during 2008-2009 while grain yield was significant during both years. Maximum nutrient concentration, uptake and yield were observed with nitrogen source S1: chemical source (urea) 250 kg N ha-1 during 2008-2009 as compared to other nitrogen sources and minimum was found in control (0) kg N ha-1, respectively. Interaction among hybrid and nitrogen sources was found to be non significant

Effects of supplementing different linoleic to α-linolenic acid ratios and vitamin a on performance and egg quality characteristics of laying hens during summer months

In present feeding trial, responses of laying hens, reared at high ambient temperature, to various dietary ratios of linoleic acid (LNA) to α-linolenic acid (ALA) and vitamin A levels for performance and egg characteristics were observed. A total of 360, 40-wk-old, Leghorn laying hens were fed on diets with various combinations of canola oil and linseed oil to achieve LNA to ALA dietary ratios of 20:1, 10:1, 4:1, 2:1, 1:1 and 1:2, each supplemented with 3000 IU or 10000 IU vitamin A/kg diet. The diets were fed ad libitum in a 6×2 factorial Completely Randomized Design that continued from 40 to 52 weeks of age. Standard managemental and housing conditions were provided to all hens. Feed intake, weight gain, egg production and egg quality traits were recorded during the trial on weekly basis. The results showed that decreasing dietary LNA to ALA ratio diet negatively affected (P0.05) by dietary treatments, with the exception of FCR per kg egg mass, egg weight and egg-shell thickness which were improved significantly (P<0.05) in hens fed on diets with lower LNA:ALA. Although dietary ratio of LNA to ALA of 4:1 or less could produce eggs by hens with high quantities of n-6 and n-3 poly unsaturated fatty acids that are characteristics of functional diets, the performance of laying hens in terms of body weight gain and egg-yolk percentage was slightly compromised, but, on overall- basis, performance of laying hens was similar among all LNA to ALA ratio in the diet. © 2019 MDPI AG

Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network

Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak detection in Holter ECG signals. While many proposed algorithms have successfully addressed the problem of ECG R-peak detection, there is still a notable gap in the performance of these detectors on such low-quality ECG records. Methods: In this study, a novel implementation of the 1D Convolutional Neural Network (CNN) is used integrated with a verification model to reduce the number of false alarms. This CNN architecture consists of an encoder block and a corresponding decoder block followed by a sample-wise classification layer to construct the 1D segmentation map of R-peaks from the input ECG signal. Once the proposed model has been trained, it can solely be used to detect R-peaks possibly in a single channel ECG data stream quickly and accurately, or alternatively, such a solution can be conveniently employed for real-time monitoring on a lightweight portable device. Results: The model is tested on two open-access ECG databases: The China Physiological Signal Challenge (2020) database (CPSC-DB) with more than one million beats, and the commonly used MIT-BIH Arrhythmia Database (MIT-DB). Experimental results demonstrate that the proposed systematic approach achieves 99.30% F1-score, 99.69% recall, and 98.91% precision in CPSC-DB, which is the best R-peak detection performance ever achieved. Results also demonstrate similar or better performance than most competing algorithms on MIT-DB with 99.83% F1-score, 99.85% recall, and 99.82% precision. Significance: Compared to all competing methods, the proposed approach can reduce the false-positives and false-negatives in Holter ECG signals by more than 54% and 82%, respectively. Conclusion: Finally, the simple and invariant nature of the parameters leads to a highly generic system and therefore applicable to any ECG dataset.Scopu