Special Issue "Integrating Agronomy and Plant Physiology for Improving Crop Production"

Submission Deadline: 30 June 2022
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Guest Editors
Dr. Mirza Hasanuzzaman, Sher-e-Bangla Agricultural University, Bangladesh
Dr. Masayuki Fujita, Kagawa University, Japan


Due to the climate change and loss of cultivable land, the crop production needs to be increased significantly to feed the growing population. Although scientists are developing many promising crop varieties, their potential yields are often unattained due to the environmental adversities and improper crop management. As frontiers of crop production, plant physiologists are the most responsible for the improvement of crop production steadily. Various stress factors are taking place more frequently than earlier times leading to the vulnerability of crop productivity. Exploring the physiological bases of plant stress tolerance is very important in developing plant stress tolerance. Also, modern agronomic practices can create a suitable environment for optimum crop productivity. An integration between plant physiology and agronomy would be very effective in achieving desirable crop production in the era of climate change. This special issue is indented to bring together a galaxy of eminent experienced scientists to present latest developments in this field. Both research article and review are welcome.

Agronomy; Plant Physiology; Crop Production; Climate Change; Abiotic Stress; Plant Nutrition; Plant Genetics and Breeding; Biotechnology in Agriculture; Sustainable Agriculture

Published Papers
  • Research on WNN Greenhouse Temperature Prediction Method Based on GA
  • Abstract Temperature in agricultural production has a direct impact on the growth of crops. The emergence of greenhouses has improved the impact of the original unpredictable changes in temperature, but the temperature modeling of greenhouses is still the main direction at present. Neural network modeling relies on sufficient actual data to model greenhouses, but there is a widening gap in the application of different neural networks. This paper proposes a greenhouse temperature prediction model based on wavelet neural network with genetic algorithm (GA-WNN). With the simple network structure and the nonlinear adaptability of the wavelet basis function, wavelet neural network (WNN)… More
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  • Extracting Lotus Fields Using the Spectral Characteristics of GF-1 Satellite Data
  • Abstract The lotus (Nelumbo nucifera Gaertn.) is an aquatic plant that grows in shallow water and has long been cultivated in South China. It can improve the incomes of farmers and plays an important role in alleviating poverty in rural China. However, a modern method is required to accurately estimate the area of lotus fields. Lotus has spectral characteristics similar to those of rice, grassland, and shrubs. The features surrounding areas where it is grown are complex, small, and fragmented. Few studies have examined the remote sensing extraction of lotus fields, and automatic extraction and mapping are still challenging methods. Here,… More
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  • Optimization of Callus Induction Conditions from Immature Embryos of Maize under Stress
  • Abstract

    The embryos of maize (Zea mays L.) inbred lines GS02, GS07, GS08, GS11 and GS15 were used as receptor materials to optimize the receptor system from the aspects of genotype, medium components and stress (PEG6000, mannitol, salt and low phosphorus). The results showed that GS07 had the highest induction rate (95.2%). Orthogonal test analysis showed that the best combination of medium components in induction was A2B3C1D3(2), namely, the concentration of 2, 4-dichlorophenoxy acetic acid (2,4-D) was 4 mg·mL-1, the concentration of L-Proline (L-Pro) was 0.8 mg·mL-1, and the concentration of silver nitrate (AgNO3) was 10 mg·mL-1 (or 5 mg·mL). Interestingly,… More

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  • Agro-Morphological Characterization and Genetic Dissection of Linseed (Linum usitatissimum L.) Genotypes
  • Abstract Linseed is a multipurpose crop and the crop needs further improvement to increase production and yield due to its high value and demand. This study aimed to assess the extent and pattern of genetic variability of forty linseed genotypes based on diverse agro–morphological and yield attributes. The field experiment was conducted following a Randomized Complete Block Design with three replications. Linseed germplasm showed a wide range of phenotypic expression, genetic variability and heritability for 30 studied traits. A low to high phenotypic coeffi- cient of variation (PCV) and genotypic coefficient of variation (GCV) were observed. The lowest genotypic (σ2 g)… More
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  • Formation Mechanism and Occurrence Law of Pod Shattering in Soybean: A Review
  • Abstract Seed shattering refers to the phenomenon in which the pods split along the abdominal and back sutures before the crop is received, so that the seeds are spread. Seed shattering is vital to the reproduction of their offspring in wild plants, but it is also the main cause of crop yield loss reason. Pod-explosion resistance is a complex process of physical and physiological and biochemical reactions. Soybean seed shattering phenomenon is widespread, which severely restricts the development of soybean industry. Seed shattering (pod cracking or fruit dropping) is essential for the reproduction of its offspring in wild plants, but it… More
  •   Views:438       Downloads:318        Download PDF

  • Discovering Candidate Chromosomal Regions Linked to Kernel Size-Related Traits via QTL Mapping and Bulked Sample Analysis in Maize
  • Abstract Kernel size-related traits, including kernel length, kernel width, and kernel thickness, are critical components in determining yield and kernel quality in maize (Zea mays L.). Dissecting the phenotypic characteristics of these traits, and discovering the candidate chromosomal regions for these traits, are of potential importance for maize yield and quality improvement. In this study, a total of 139 F2:3 family lines derived from EHel and B73, a distinct line with extremely low ear height (EHel), was used for phenotyping and QTL mapping of three kernel size-related traits, including 10-kernel length (KL), 10-kernel width (KWid), and 10-kernel thickness (KT). The results… More
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  • Nitric Oxide Alleviates Photochemical Damage Induced by Cadmium Stress in Pea Seedlings
  • Abstract Cadmium (Cd), a life threatening hazardous heavy metal is abundant in nature. Cd amounts are greater in leaves than other plant parts, and it shows considerable effects on photosynthesis. Nitric oxide (NO), a free radical present in living organisms, is now known as an important signaling molecule playing various physiological processes in plants. In this study, the possible ameliorative effect of NO on photosynthesis was examined on pea seedlings grown under Cd stress. Results showed that chlorophyll, net photosynthetic rate, transpiration rate, stomatal conductance, photochemical efficiency of Photosystem II and Photosystem I decreased, and Fo and non-photochemical parameters for PSII… More
  •   Views:428       Downloads:280        Download PDF

  • Effects of Manganese Toxicity on the Growth and Gene Expression at the Seedling Stage of Soybean
  • Abstract In order to investigate the effects of Manganese (Mn) toxicity stress on the growth and gene expression at the seedling stage of soybean, soybean seedlings were treated with normal Mn concentration (5 μmol/L MnSO4) and excess Mn concentration (100 μmol/L MnSO4) by the method of hydroponic culture in this study. When soybean was subjected to Mn toxicity stress, excessive Mn could affect seedling growth, root development, the number of Mn oxide spots in leaves, and the Mn accumulation content in different parts of soybean. With the increase of exogenous Mn concentration and the prolongation of culture time, the shoot and… More
  •   Views:427       Downloads:310        Download PDF