Practical Microbiology for MBBS Students

Surinder, Surinder

doi:10.5005/jp/books/14195

Cited by 2 publications

(3 citation statements)

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“…Conversely, a better optimization of the second-last harvesting time provided sufficient time to the crop, which led to a significant enhancing of the plant height along with leaf and capsule numbers per plant, as inferred by Puri et al [61] and Martiniello [62]. Similar findings have also been presented by Yadav et al [16] and Din et al [53], who opined that the last cutting time of Egyptian clover might result in a higher number of seed capsules and seeds per capsule by virtue of a comparatively longer reproductive phase availability, while a higher temperature in the case of delayed last harvests restricted the photosynthesis process and photosynthates transfer from sources of sinks, which led to a decline in the number of seeds per capsule, as inferred by Surinder [63], Kandil et al [64] and Fulkerson et al [65].…”

Section: Experiments 2 321 Yield Attributes and Seed Yieldmentioning

confidence: 99%

“…Moreover, a rising air temperature coincides with low humidity, which results in a decline in pollination activity and fertilization rate [66][67][68][69][70]. Furthermore, lesser bee activity causes poor pollination, the infertility of pollen and seed development termination, leading to weak seed setting [63,65,71]. Along with the last cutting time management, the low seed production of Egyptian clover might also be attributed to poorquality seed sowing and following inappropriate agronomic practices especially related to soil fertility and moisture management.…”

Section: Experiments 2 321 Yield Attributes and Seed Yieldmentioning

confidence: 99%

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Egyptian Clover Genotypic Divergence and Last Cutting Management Augment Nutritive Quality, Seed Yield and Milk Productivity

Jabbar

Iqbal

Iqbal³

et al. 2022

Sustainability

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Under a changing climate, harvesting management and exploiting the genotypic divergence of Egyptian clover cultivars offers a biologically viable solution to sustainably boost the milk productivity of dairy animals. Two multi-season field trials were executed under semi-arid conditions whereby the first experiment aimed to assess the potential of Egyptian clover cultivars (Berseem Agaiti, Anmol and SB-11) for nutritional quality attributes and the digestibility of green forage and hay, forage palatability and milk productivity of buffaloes fed on hay. In the second field investigation, new promising line, SB-11, was tested for seed production potential under varying dates of the last harvesting regimes (10, 20 and 30 March along with 9 April and 19 April) owing to a sharp hike in temperature. In terms of the nutritive value of green forage and hay, SB-11 remained superior for recording the maximum crude protein (CP), ash, fat and nitrogen-free extract except dry matter (DM) content that was exhibited by the Anmol cultivar. Additionally, SB-11 remained unmatched by giving a minimum crude fiber (CF), while Berseem Agaiti yielded the lesser nutritive forage by producing 4% and 2% higher CF than SB-11 and Anmol, respectively. Moreover, SB-11 recorded the maximum digestibility of CP and DM. Furthermore, SB-11 exhibited a 6% and 9% higher palatability along with 8% and 11% higher milk production than Anmol and Berseem Agaiti, respectively. Additionally, 20 March surpassed the rest of the cutting dates by exhibiting 7%, 23%, 50% and 207% more seed yield than 10 March, 30 March, 9 April and 19 April, respectively, indicating quite a pronounced effect of the last cutting management on the seed production potential of Egyptian clover. The research findings suggest SB-11 as a promising genotype for bridging the nutritive gap of quality feed (forage and hay) for buffaloes along with addressing the seed production challenge of Egyptian clover.

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Section: Experiments 2 321 Yield Attributes and Seed Yieldmentioning

confidence: 99%

Section: Experiments 2 321 Yield Attributes and Seed Yieldmentioning

confidence: 99%

Egyptian Clover Genotypic Divergence and Last Cutting Management Augment Nutritive Quality, Seed Yield and Milk Productivity

Jabbar

Iqbal

Iqbal³

et al. 2022

Sustainability

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“…Globally there are over 600 petroleum refineries that process more than 100 000 million barrels of crude oil per day . Crude oil is fractionated to produce different fuels such as naphtha, gasoline, diesel, and other valuable products . The most significant petroleum-derived product is gasoline, and 44% of the crude oil barrel is converted to it .…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Designing Octane Number of Fuels Using Genetic Algorithms and Artificial Neural Networks

et al. 2022

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Refineries often blend fuels in order to achieve mandated fuel properties based on international and domestic standards. One of the mandated properties for gasoline is Octane Number (ON). There are two forms of measuring ON: Research Octane Number (RON) and Motor Octane Number (MON). Although there have been efforts to optimize the blending operation in refineries, the implementations of advanced machine learning models are limited. The intention behind exploring and enhancing this field is to avoid undesirable scenarios, such as off-specification products and quality giveaways, as these scenarios overburden refineries' operational expenditures. The current work presents an innovative approach to predict the optimum fuel blending mechanism. This is accomplished through utilizing an integrated system composed of genetic algorithms (GA) and artificial neural networks (ANN). In addition, this work presents the polygonal algorithms that govern the optimization process. The system analyzes fuel inputs consisting of pure hydrocarbons, hydrocarbon−ethanol blends, and FACE (fuels for advanced combustion engines) gasoline−ethanol blends. There are ten pure hydrocarbons and six FACE gasoline's that are the base of 243 fuels used. These components are presented as multiple input streams to the blending stage, at which the system computes multiple recipes utilizing the GA. The system derives these recipes by capitalizing on the polygonal method. This method offers a systematic approach to design optimal fuel with the lowest addition of relatively high octane components. The system is evaluated using 243 blends. The produced recipes are designed to meet the desired antiknocking index (AKI). The coefficient of determination (R 2 ) result is 0.99 for RON, MON, and AKI, respectively. Furthermore, the mean absolute error (MAE) values are 1.99, 1.23, and 1.40 for RON, MON, and AKI, respectively. These results signify the success of the integrated system and its significant potential impact in mitigating undesirable blending scenarios.

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Practical Microbiology for MBBS Students

Cited by 2 publications

References 0 publications

Egyptian Clover Genotypic Divergence and Last Cutting Management Augment Nutritive Quality, Seed Yield and Milk Productivity

Egyptian Clover Genotypic Divergence and Last Cutting Management Augment Nutritive Quality, Seed Yield and Milk Productivity

A Methodology for Designing Octane Number of Fuels Using Genetic Algorithms and Artificial Neural Networks

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