Physiological studies and nutrient accumulation in mustard varieties in response to fertilizer doses under saline condition in semi-arid region of northwestern Haryana

The present study was conducted to find out the salt tolrant mustard variety for semi-arid region because this region has higher amount of poor quality water for irrigation and nutrient accumulation under saline environment is the most limiting factor in the sustainable crop production. For this four mustard varieties in main plots (Kranti, Giriraj, CS-54, and CS-58) and three fertilizer doses in sub-plots (100, 125 and 150% RDF). During the experimentation, saline water irrigation (7 dS m-1) was applied. The physiological parameters like RWC (75.54 to 80.34 %), total chlorophyll content (1.60 to 1.91 mg g-1 FW), and photosynthetic rate (10.09 to 14.79 µmol CO2 m-2s-1) were significantly increased with increasing dose of fertilizers. Yield stability index was highest with the application of 150% RDF. HI index showed a decline trend with the increasing dose of fertilizers, whereas oil content decreased non-significantly. Irrespective of fertilizer doses, variety CS-58 recorded maximum seed yield (22.89 q ha-1), biological yield (11.22 q ha-1); and other physiological parameters followed by CS-54, Giriraj, and Kranti mustard varieties. Variety CS-58 had the highest nutrient content (N, P, and K) in straw, with reaching to 125% RDF being at par with 150% RDF, followed by CS-54, Giriraj, and Kranti, respectively. The salt ratio (Na+:K+) decreased non-significantly with fertilizer doses, its mean value was however lowest in CS-58.

Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data

The usage of controlled biomedical vocabularies is the cornerstone that enables seamless interoperability when using a common data model across multiple data sites. The Observational Health Data Science and Informatics (OHDSI) initiative combines over 100 controlled vocabularies into its own. However, the OHDSI vocabulary is limited in the sense that it combines multiple terminologies and does not provide a direct way to link them outside of their own self-contained scope. This issue makes the tasks of enriching feature sets by using external resources extremely difficult. In order to address these shortcomings, we have created a linked data version of the OHDSI vocabulary, connecting it with already established linked resources like bioportal, bio2rdf, etc. with the ultimate purpose of enabling the interoperability of resources previously foreign to the OHDSI universe.

Descubriendo los modelos de los datos interconectados: BibFrame

Por medio de esta revisión, se busca realizar un recuento y una explicación sobre el entorno de intercambio bibliográfico BibFrame a partir del conocimiento que ha sido diseminado, en su mayor parte, por un grupo de profesionales de la Biblioteca del Congreso de los Estados Unidos de América. En este trabajo, se muestran aspectos clave de esta iniciativa en y se enfocan cuestiones medulares de su funcionamiento como entorno ubicado en la web. Se discute su posible normalización partiendo del traslado de MARC21 a esta herramienta.

This review aims to report on and explain the bibliographic exchange environment BibFrame taking as starting point the knowledge that has been disseminated, mainly, by a group of professionals from the Library Of Congress of the United States of America. This work shows key aspects of this initiative and focus on medular points regarding its functioning as a web environment. The work discusses the possible standardization of this environment, starting with transferring from MARC21 to this tool.

Detección de comunidades a partir de redes de coautoría en grafos RDF / Community detection using co-authorship networks in RDF graphs / Detecção de comunidades a partir de redes de coautoria em grafos RDF

La detección de comunidades se refiere al problema de identificar comunidades o particiones de nodos que comparten propiedades comunes en una red. Las redes de coautoría se consideran redes complejas, donde los nodos de la red son los autores, y los enlaces entre los nodos establecen la relación de coautoría en una o varias publicaciones. En los últimos años se han desarrollado investigaciones con el objetivo de publicar metadatos bibliográficos siguiendo los principios de los datos enlazados. Como resultado se obtienen grafos RDF que contienen los autores y las relaciones de coautoría que se establecen entre ellos. En este artículo se propone un método para la detección y visualización de comunidades en grafos RDF teniendo en cuenta las relaciones de coautoría como indicador para medir la colaboración científica. Con la implementación del método se pretende dotar a los especialistas en ciencias de la información de una herramienta de análisis que ayude en el proceso de toma de decisiones y la realización de estudios en esta área.

Community detection refers to the problem to identify communities or partitions of nodes that shares common properties in a network. The co-authorship networks are considered complex networks, where the nodes of the network are authors and the edges between nodes provides the co-authorship relationships in one or more publications. In recent years, researches have been carried out with the aim to publish bibliographic metadata following the principles of the linked data. Resulting from this, RDF graphs are obtained, containing the authors and the co-authorship relationships among them. In this paper we propose a method for detecting and visualizing communities in RDF graphs, considering co-authorship relationships as an indicator to measure scientific collaboration. With the implementation of the method proposed, we provide an analysis tool for specialists in information sciences, which improve the process of decision making and implementation of studies in the area.

A detecção de comunidades refere-se ao problema de identificar comunidades o partições de nodos que partilham propriedades comuns em uma rede. As redes de coautoria são consideradas redes complexas, onde os nodos da rede são os autores, e os enlaces entre os nodos estabelecem a relação de coautoria em uma ou várias publicações. Nos últimos anos se têm desenvolto investigações com o objetivo de publicar metadados bibliográficos seguindo os princípios dos dados ligados. Como resultado se obtêm grafos RDF que contêm os autores e as relações de coautoria que se estabelecem entre eles. Neste artigo se propõe um método para a detecção e visualização de comunidades em grafos RDF tendo em conta as relações de coautoria como indicador para medir a colaboração científica. Com a implementação do método se pretende dotar aos especialistas em ciências da informação de uma ferramenta de análise que ajude no processo de toma de decissões e a realização de estudos nesta área.

Effect of organic and inorganic fertilizers on plant height, spread and flower diameter of gaillardia (gaillardia pulchella).

An experiment was conducted to study the effect of organic and inorganic fertilizers on plant height, plant spread and flower diameter of Gaillardia (Gaillardia pulchella). In Gaillardia the plant maximum height was recorded in the plot treated with 100 per cent recommended dose of NPK + press mud at 10 tones ha-1 followed by 75 per cent recommended dose of NPK + press mud at 10 t ha-1 at 45 days and 75 per cent recommended dose of NPK + press mud at 5 tones ha-1 at 15, 30 and 60 days. Highest plant spread was obtained at 30 and 45 days after planting in the treatments which involved 100 per cent recommended dose of NPK + press mud at 10 t ha-1 and at 60 days no significant differences were recorded. The combination of recommended dose of NPK + press mud at 10 t ha-1 produced maximum diameter of flower.