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Enregistrement W1594872522

Fenugreek (Trigonella foenum-gracum L): Production Challenges and Opportunities for Asia, Africa and Latin America

2014· article· en· W1594872522 sur OpenAlexaboutno aff
Saikat Basu, Govindasamy Agoramoorthy

Notice bibliographique

RevueAmerican Journal of Social Issues and Humanities · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueNatural Antidiabetic Agents Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTrigonellaAgricultureGeographyAgroforestryEnvironmental protectionTraditional medicineBiologyMedicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Fenugreek ( Trigonella foenum-graecum L.) is a widely used medicinal plant in the Indian, Egyptian and Greek traditional medicines due to its enormous therapeutic applications [1]. It is also used as a fodder added to the inferior hay to improve its smell [2]. Several photochemical compounds found in fenugreek include steroids, alkaloids and flavonoids with immense medicinal, pharmacological nutraceutical and antioxidant properties [1-3]. This interesting plant is widely used as a flavoring agent for the Indian and Swiss cuisines. It is widely grown across various countries in Asia, Africa, Mediterranean, Europe, Russia and Australia [1-2]. Fenugreek has recently been introduced in the United States and Canada, and attempts are under way in Mexico, Venezuela and Argentina. Although it is cultivated in North Africa, it is unknown in the sub-Saharan, west, east and southern parts of Africa. Recently fenugreek production attempts in Nigeria and South Africa have been made, but more work is needed. This rainfed crop uses less water besides capable of fixing nitrogen in soil [3]. The production cost is low therefore it perfectly suits to dry and semi-arid conditions of the African continent as well as other dryer parts of Latin America. Many developing nations fall behind agricultural productivity hence there is an urgent need to promote sustainable agriculture [4]. Common humanity issues such as poverty, political instability, social unrest, global warming, crop failures, environmental pollution, poor economic growth, hunger, and food insecurity are impacting the lives of millions around the world daily [5, 6]. The major objective of this special issue is to introduce the readers more about this unique magical crop so that the potential and opportunities of growing fenugreek crop can be properly understood by various stakeholders such as scholars, scientists, plant breeders, forage producers, farmers and corporations. Through this special issue, we would like to build an integrated intellectual platform to promote capacity building on this unique crop for potential areas around the world. This issue has covered all aspects of fenugreek research and development to facilitate the understanding of the crop history, botany, physiology, biochemistry, pathology, agronomy, genetics, biotechnology, genomics, crop improvement, and other commercial opportunities. This comprehensive issue will be suitable for students and researchers in African universities in the realms of agriculture, agronomy, agrology, plant genetics, special/novel crop production, sustainable crop production, crop physiology, weed science, plant pathology, and economic botany. Several reputed scientists have dedicated their lives to fenugreek research and they have shared their experiences in this special issue. However, opinions expressed by the authors are their own and do not necessarily reflect the views of the editors or that of the publisher. There has been some overlap of information across different papers as is the challenge with any multi-authored special issue on a thematic subject matter. However, it is important to mention that we have not interfered in the structure and thoughts shared by our valued contributors to hold together the momentum of the spirit of team work. Our distinguished contributors working across the globe have unique experience of how humanity could utilize this multipurpose crop from scientific perspectives. We have tried to harness those hidden potentials of this crop through an integrated approach via agro-ecological, climatic and soil profiles of the vast continents of Asia, Africa and Latin America. We believe that this crop can be promoted across the developing world to boost rural agriculture and local economies. All the contributing scientists have exclusive experience with this subject in various agro-ecological zones representing three major continents. We hope that this will further generate a platform to share ideas and to enhance future collaboration among various partners who have similar interest towards this crop. The contributing authors of articles for this special issue are solely responsible for any misinformation, plagiarism and copyright infringements. Ttherefore the editors, publisher and the organizations involved are not responsible. We have tried to bring together a wide diversity and schools of thoughts from various renowned researchers, scientists and graduate students working on different aspects of fenugreek. As editors of this special issue, we have worked through this memorable experience as a facilitator to percolate diverse schools of thoughts among our peers and also tried to learn from their vast experience, knowledge and insights. The support and help extended by all contributors, editorial assistants, peer-reviewers and staff members of the American Journal of Social Issues and Humanities secretariat is greatly appreciated. Finally, we show our sincere gratitude to the Managing Editor, Rev Dr Emeka Ekeke, for his kindness and support in publishing this special issue.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,888
Score d'incertitude au seuil0,505

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,080
Tête enseignante GPT0,289
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2014
Routes d'admission1
Résumé présentoui

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