8 research outputs found
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