Effect of temperature regimes, seed priming and priming duration on germination and seedling growth on American cotton

Singh, Kuldeep; Gupta, Namarta; Dhingra, Madhu

doi:10.22438/jeb/39/1/mrn-446

Cited by 29 publications

(15 citation statements)

References 3 publications

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“…This stimulates different physiological processes in plants to deal with devastating effects of abiotic stresses and enhancing the nutritive value of crops along with their yield [ 52 , 62 , 63 ]. Seed priming not only decreases the duration of seedling emergence but also allows uniform germination with enhanced germination rate [ 64 , 65 , 66 , 67 ]. The fortification of nutrient crops by seed priming via conventional chemicals and fertilizers has been in practice since last several decades.…”

Section: Wheat Micronutrients Nanobiofortification Via Seed Primingmentioning

confidence: 99%

Insight into the Prospects for Nanotechnology in Wheat Biofortification

Khan

Hamurcu

Gezgin

et al. 2021

Biology

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The deficiency of nutrients in food crops is a major issue affecting the health of human beings, mainly in underdeveloped areas. Despite the development in the methods of food fortification, several barriers such as lack of proper regulations and smaller public-private partnerships hinder its successful implementation in society. Consequently, genetic and agronomic biofortification has been suggested as the potential techniques for fortifying the nutrients in diets. However, the time-consuming nature and restricted available diversity in the targeted crop gene pool limit the benefits of genetic biofortification. In agronomic biofortification, organic fertilizers face the problem of prolonged duration of nutrients release and lesser content of minerals; while in inorganic fertilizers, the large-sized fertilizers (greater than 100 nm) suffer from volatilization and leaching losses. The application of nanotechnology in agriculture holds enormous potential to cope with these challenges. The utility of nanomaterials for wheat biofortification gains its importance by supplying the appropriate dose of fertilizer at the appropriate time diminishing the environmental concerns and smoothening the process of nutrient uptake and absorption. Wheat is a major crop whose nano-biofortification can largely handle the issue of malnutrition and nutrients deficiency in human beings. Though several research experiments have been conducted at small levels to see the effects of nano-biofortification on wheat plants, a review article providing an overview of such studies and summarizing the benefits and outcomes of wheat nano-biofortification is still lacking. Although a number of review articles are available on the role of nanotechnology in wheat crop, these are mostly focused on the role of nanoparticles in alleviating biotic and abiotic stress conditions in wheat. None of them focused on the prospects of nanotechnology for wheat biofortification. Hence, in this review for the first time, the current advancement in the employment of different nanotechnology-based approaches for wheat biofortification has been outlined. Different strategies including the supply of nano-based macro- and micronutrients that have shown promising results for wheat improvement have been discussed in detail. Understanding several aspects related to the safe usage of nanomaterials and their future perspectives may enhance their successful utilization in terms of economy and fulfillment of nutritional requirements following wheat nano-biofortification.

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Section: Wheat Micronutrients Nanobiofortification Via Seed Primingmentioning

confidence: 99%

Insight into the Prospects for Nanotechnology in Wheat Biofortification

Khan

Hamurcu

Gezgin

et al. 2021

Biology

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“…(2) The DC voltage was changed and as mooth DC output was obtained after being boosted by the boost chopper circuit and filtered. (3) The UC3843 emitted a PWM (Pulse Width Modulation) signal to drive the switch tube to control the closed-loop feedback [21].…”

Section: Design Of the Power Supplymentioning

confidence: 99%

“…(3) The UC3843 emitted a PWM (Pulse Width Modulation) signal to drive the switch tube to control the closed-loop feedback [21].…”

Section: Design Of the Power Supplymentioning

confidence: 99%

Intelligent Supply Chain Information System Based on Internet of Things Technology under Asymmetric Information

Zhou

2019

Symmetry

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The hardware and software designed in the traditional supply chain system lack cooperation in the transmission process, have low efficiency, and lead to a large amount of information distortion.In response to this problem, this paper proposes an intelligent supply chain information system based on the Internet of Things technology. The research focuses on the hardware and software of the system. The hardware part consists of the embedded processor CS89712, Flash7861 memory, Ethernet, touch screen, and LCD (Liquid Crystal Display). The software system is based on asymmetric information theory design and is divided into signal acquisition, input signal detection, interference signal processing, and power signal output. The experimental results show that it is compared with the traditional supply chain information system. The designed system seamlessly integrates the hardware and software components to achieve maximum information supply in the shortest amount of time. The power supply capacity is four times that of the traditional system, and the node coverage is high. When the number of data nodes is 120, the traditional supply chain system is basically unable to supply, but the supply accuracy of the intelligent supply chain is still as high as 48%. The research in this paper has certain guiding significance for intelligent technology development, supply chain system design, and enterprise information exchange.

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“…The second method is the tagged query algorithm, which uses the name of category c as the query keyword, searches in the Internet search engine [25], and uses the returned K image to train the Naive Bayesian model to get the image feature distribution. The K value of the experiment is 50 based on experience [26][27][28][29][30][31].…”

Section: Evaluation Criteriamentioning

confidence: 99%

A text-Image feature mapping algorithm based on transfer learning

Pan

Yang

2018

Open Physics

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The traditional uniform distribution algorithm does not filter the image data when extracting the approximate features of text-image data under the event, so the similarity between the image data and the text is low, which leads to low accuracy of the algorithm. This paper proposes a text-image feature mapping algorithm based on transfer learning. The existing data is filtered by ‘clustering technology’ to obtain similar data with the target data. The significant text features are calculated through the latent Dirichlet allocation (LDA) model and information gain based on Gibbs sampling. Bag of visual word (BOVW) model and Naive Bayesian method are used to model image data. With the help of the text-image co-occurrence data in the same event, the text feature distribution is mapped to the image feature space, and the feature distribution of image data under the same event is approximated. Experimental results show that the proposed algorithm can obtain the feature distribution of image data under different events, and the average cosine similarity is as high as 92%, the average dispersion is as low as 0.06%, and the accuracy of the algorithm is high.

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Effect of temperature regimes, seed priming and priming duration on germination and seedling growth on American cotton

Cited by 29 publications

References 3 publications

Insight into the Prospects for Nanotechnology in Wheat Biofortification

Insight into the Prospects for Nanotechnology in Wheat Biofortification

Intelligent Supply Chain Information System Based on Internet of Things Technology under Asymmetric Information

A text-Image feature mapping algorithm based on transfer learning

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