Variability assessment in Phoenix dactylifera L. accessions based on morphological parameters and analytical methods

Ennouri, Karim; Ayed, Rayda Ben; Erċışlı, Sezai; Smaoui, Slim; Gouiaa, Mohamed; Triki, Mohamed Ali

doi:10.1007/s11738-017-2583-6

Cited by 8 publications

(5 citation statements)

References 31 publications

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“…Biplot analysis can be used to identify important traits and genotypes that are the major contributory factors in the variability of date palm germplasm. It is an effective tool for the evaluation of cultivar performance and multidirectional association among different traits ( Ennouri et al., 2018 ). The vertex cultivars in the biplot are those furthest from the biplot origin and these can be excellent or poor in few or all studied traits ( Salem et al., 2008 ).…”

Section: Discussionmentioning

confidence: 99%

Correlation among some phenological and biochemical traits in date palm (Phoenix dactylifera L.) germplasm

et al. 2023

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Date palm is an economically important fruit crop in the arid and semi-arid regions of the world. The knowledge of genetic variation, genotype-by-traits comparison, as well as the relationship among several phenological traits is effective for developing breeding populations by choosing the best allelic combinations and employing selection approaches. Information regarding the genetic variability and inter-relationships among fruit characteristics is facilitating the plant breeders to efficiently exploit the date palm germplasm for the introduction of elite genotypes. The present study was conducted to examine genetic variation among different date palm cultivars -collected from two different research stations in Pakistan as well as the relationship among their phenological and biochemical characteristics. Biplot analysis revealed that the cultivars ‘Dhakki’, ‘Chohara’, and ‘Kupra’ possessed the highest fruit and pulp weights. Moreover, the fruits of the cultivars ‘Champa Kali’ and ‘Shakri’ had the maximum TSS (total soluble solids) and total sugar content. Similar variations were observed in the mean values of the studied phenological and biochemical characteristics as in the biplot analysis. Cluster analysis on the basis of phenological and biochemical characteristics divided 50 cultivars into seven clusters, showing differences in the studied characters. A correlation matrix revealed that pulp weight had a strong relationship with fruit weight, length, and diameter. A strong correlation also existed among antioxidant capacity, antioxidant activity, and total phenolic content. These results demonstrated a huge diversity in phenological and biochemical characteristics of date palm cultivars as well as a correlation among several characteristics of the studied germplasm, which can be exploited in future breeding programs.

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Section: Discussionmentioning

confidence: 99%

Correlation among some phenological and biochemical traits in date palm (Phoenix dactylifera L.) germplasm

et al. 2023

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“…Decision Trees, supervised organization strategies dependent on recursive binary divisions agreeing to many upgraded guidelines, have become an alluring alternative for separating discrete class data for land cover classification [124]. A Decision Tree accepts many elements as input, and comes back with an output via an arrangement of tests [125]. Trees construct the instruction by recursive binary dividing areas that are progressively homogeneous concerning their class variable [126].…”

Section: Categorizationmentioning

confidence: 99%

Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields

Ennouri

Smaoui

Gharbi

et al. 2021

Journal of Food Quality

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Artificial Intelligence is an emerging technology in the field of agriculture. Artificial Intelligence-based tools and equipment have actually taken the agriculture sector to a different level. This new technology has improved crop production and enhanced instantaneous monitoring, processing, and collection. The most recent computerized structures using remote sensing and drones have made a significant contribution to the agro-based domain. Moreover, remote sensing has the capability to support the development of farming applications with the aim of facing this main defy, via giving cyclic records on yield status during studied periods at diverse degrees and for diverse parameters. Various hi-tech, computer-supported structures are created to determine different central factors such as plant detection, yield recognition, crop quality, and several other methods. This paper includes the techniques employed for the analysis of collected information in order to enhance the productivity, forecast eventual threats, and reduce the task load on cultivators.

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“…Besides, the decision tree systems of data mining approaches are more directly adapted for classification, from the time when data symbolising a specified individual are classed through the decision tree construction to be classified directly into a preprogrammed group [61,62]. They not only signify an effective organization technique, but also have the supplementary benefit of simplicity of elucidation of the factors employed to classify data sets to their suitable groups, although concurrently carrying to highlight the relative significance of diverse variables in the concerned system [63,64]. It is particularly laborious to retrieve clarifications for occurrences when ANN methods are employed because of the "black-box" methodology in ANN [65].…”

Section: Imagery Treatment and Prediction In Mappingmentioning

confidence: 99%

Remote Sensing: An Advanced Technique for Crop Condition Assessment

Ennouri

Kallel

2019

Mathematical Problems in Engineering

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Actually, cultivators are increasingly arranging innovative high technical and scientific estimations in the aim to enhance agricultural sustainability, effectiveness, and/or plant health. Innovative farming technologies incorporate biology with smart agriculture: computers and devices exchange with one another autonomously in a structured farm management system. Throughout this structure, smart agriculture can be accomplished; cultivators decrease plantation inputs (pesticides and fertilizers) and increase yields via integrated pest management and/or biological control. The emerging concept of remote sensing may provide a framework to systematically consider these issues of smart farming technology and to embed high-tech agriculture better. The impact(s) may be beneficial depending on how tools, such as data mining, and imagery technologies, such as picture treatment and analysis, are applied. Remote sensing technology is discussed in this review and demonstrates its possibility to create novel opportunities for scientists (and agronomists) to explore aspects of biological phenomena that cannot be accessed through usual mechanisms or processes.

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Variability assessment in Phoenix dactylifera L. accessions based on morphological parameters and analytical methods

Cited by 8 publications

References 31 publications

Correlation among some phenological and biochemical traits in date palm (Phoenix dactylifera L.) germplasm

Correlation among some phenological and biochemical traits in date palm (Phoenix dactylifera L.) germplasm

Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields

Remote Sensing: An Advanced Technique for Crop Condition Assessment

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