Role of Sustainable Wheat Production to Ensure Food Security in the CWANA region

Tadesse, Wuletaw; Halila, Habib; Jamal, Muhammad Nasir; Hanafi, Samira El; Assefa, Solomon; Oweis, Theib; Baum, Michaël

doi:10.18006/2017.5(spl-1-safsaw).s15.s32

Cited by 34 publications

(21 citation statements)

References 23 publications

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“…It is well known that wheat is one of the most important and widely cultivated cereals, supporting 60% of the world's population for their daily calorific and protein needs (Tadesse et al, 2017). The warranty of wheat production and safety thus has been the first-line mission for world development.…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Identification of Wheat WRKY Gene Family Reveals That TaWRKY75-A Is Referred to Drought and Salt Resistances

Qiao

Guo

et al. 2021

Front. Plant Sci.

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It is well known that WRKY transcription factors play essential roles in plants’ response to diverse stress responses, especially to drought and salt stresses. However, a full comprehensive analysis of this family in wheat is still missing. Here we used in silico analysis and identified 124 WRKY genes, including 294 homeologous copies from a high-quality reference genome of wheat (Triticum aestivum). We also found that the TaWRKY gene family did not undergo gene duplication rather than gene loss during the evolutionary process. The TaWRKY family members displayed different expression profiles under several abiotic stresses, indicating their unique functions in the mediation of particular responses. Furthermore, TaWRKY75-A was highly induced after polyethylene glycol and salt treatments. The ectopic expression of TaWRKY75-A in Arabidopsis enhanced drought and salt tolerance. A comparative transcriptome analysis demonstrated that TaWRKY75-A integrated jasmonic acid biosynthetic pathway and other potential metabolic pathways to increase drought and salt resistances in transgenic Arabidopsis. Our study provides valuable insights into the WRKY family in wheat and will generate a useful genetic resource for improving wheat breeding.

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Section: Introductionmentioning

confidence: 99%

Genome-Wide Identification of Wheat WRKY Gene Family Reveals That TaWRKY75-A Is Referred to Drought and Salt Resistances

Qiao

Guo

et al. 2021

Front. Plant Sci.

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“…The current study aims to (1) develop a deep semantic segmentation method based on U-Shape convolutional network (U-Net) architecture and a pre-trained deep residual network for large-scale mapping of date palm trees; (2) establish a comprehensive and versatile labeled dataset to support the development of the proposed semantic segmentation model for date palm trees from very-high spatial resolution unmanned aerial vehicle (UAV) images; (3) compare the performance of the proposed approach with those of different state-of-the-art semantic segmentation networks. [137,138]. The majority of the UAE experiences sporadic and irregular rainfall in time and geographical distribution, whereas the average annual rainfall can be less than 6 mm in the interior of the southern desert and can reach almost 160 mm in the northern and eastern mountainous regions of the country [139].…”

Section: Related Workmentioning

confidence: 99%

Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images

et al. 2021

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Large-scale mapping of date palm trees is vital for their consistent monitoring and sustainable management, considering their substantial commercial, environmental, and cultural value. This study presents an automatic approach for the large-scale mapping of date palm trees from very-high-spatial-resolution (VHSR) unmanned aerial vehicle (UAV) datasets, based on a deep learning approach. A U-Shape convolutional neural network (U-Net), based on a deep residual learning framework, was developed for the semantic segmentation of date palm trees. A comprehensive set of labeled data was established to enable the training and evaluation of the proposed segmentation model and increase its generalization capability. The performance of the proposed approach was compared with those of various state-of-the-art fully convolutional networks (FCNs) with different encoder architectures, including U-Net (based on VGG-16 backbone), pyramid scene parsing network, and two variants of DeepLab V3+. Experimental results showed that the proposed model outperformed other FCNs in the validation and testing datasets. The generalizability evaluation of the proposed approach on a comprehensive and complex testing dataset exhibited higher classification accuracy and showed that date palm trees could be automatically mapped from VHSR UAV images with an F-score, mean intersection over union, precision, and recall of 91%, 85%, 0.91, and 0.92, respectively. The proposed approach provides an efficient deep learning architecture for the automatic mapping of date palm trees from VHSR UAV-based images.

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“…Wheat (Triticum aestivum L.) is the most cultivated crop on Earth [1,2] being a key cereal for global food security. Wheat provides calories to 85% of the world population (contributing of 5 to 57% of daily consumed calories, depending of the country) and proteins to more than 82% of the world population (contributing of 6 to 60% of daily calories intake, depending of the country) [3].…”

Section: Introductionmentioning

confidence: 99%

“…Historically the increase in the world production of wheat occurred primarily due to the increase in productivity which supplied the increase in the demand for this cereal [4]. As the global population continues to increase, the world demand for wheat is predicted to continue raising [2,4], being forecast that in order to feed the world population in 2050 it will be necessary to almost double the current wheat production [5]. The challenges to achieving this production target include abiotic (drought, heat and salinity) and biotic (insects, pathogens and weeds) stresses that can be enhanced by climate changes [5].…”

Section: Introductionmentioning

confidence: 99%

Silicon Use in the Integrated Disease Management of Wheat: Current Knowledge

Dallagnol¹,

Ramos²,

Dorneles³

2022

Current Trends in Wheat Research

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Silicon (Si) is a benefic element for higher plants such as wheat (Triticum aestivum) in which it is accumulated in the shoot tissues. In this crop, leaf diseases and spike diseases are the cause of yield losses, and therefore several studies had been conducted under field and greenhouse conditions to demonstrate that plants supplied with Si reduced most of the diseases damage due to the amelioration of the plant defenses. However, the benefits of Si depend on its accumulation in the plant’s tissue, which is influenced by the availability of the element in the soil as well as the up-take ability of the wheat cultivar. In this chapter we present the current knowledge about the mechanisms of Si absorption and its accumulation in different tissues of the wheat plant, the most studied options for silicate fertilization, and the benefits of Si on grain yield. We also present some insight of the effect of Si-supply in wheat on the reduction of main leaf and ear diseases, bringing evidence and explanation of the defense mechanisms involved. In addition, we provide an overview of the Si effect on the physiology (gas exchange, chlorophyll a fluorescence and carbohydrate metabolism) of the wheat plant. Finally, questions have been raised about the Si uses as fertilizer that still needs to be answered. We recognized that some studies have enhanced our understanding of Si providing evidence of the Si use as disease management strategy, but further research is needed to make the Si uses a simple task for wheat growers under field condition.

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Role of Sustainable Wheat Production to Ensure Food Security in the CWANA region

Cited by 34 publications

References 23 publications

Genome-Wide Identification of Wheat WRKY Gene Family Reveals That TaWRKY75-A Is Referred to Drought and Salt Resistances

Genome-Wide Identification of Wheat WRKY Gene Family Reveals That TaWRKY75-A Is Referred to Drought and Salt Resistances

Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images

Silicon Use in the Integrated Disease Management of Wheat: Current Knowledge

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