Quantitative Analysis of some Germplasms of lablab Bean in Uttar Pradesh

Quantitative Analysis of some Germplasms of lablab Bean in Uttar Pradesh



Arvind Kumar



Lablab purpureus (L.) sweet is an ancient multipurpose
legume that combines use as human food and forage in addition to serving
as a cover crop for soil conservation. The crop is believed to be
cultivated in south India as early as 1400 – 1500 BC. Although wide
variability for agro-morphological traits exists in India, a more
extensive germplasm collection and evaluation has not been reported so
far. Hence the present study was undertaken with a set of 50 lablab
accessions mainly collected from south India including nine accessions
of exotic origin. All the 50 accessions were characterized for 29
qualitative and 10 quantitative traits. Further, there exists very high
genetic differentiation between the exotic and the lines of Indian
origin as also evident from biplot and scatter plot analysis. Although
the exotic lines deviated for the Indian lines for majority of the
traits, much of the useful variation for genetic improvement of
vegetable traits existed among the Indian accessions while, the exotic
lines possessed traits of forage importance. 



10.22161/ijeab/2.1.7



http://ijeab.com/upload_document/issue_files/7%20IJEAB-NOV-2016-20-Quantitative%20Analysis%20of%20some%20Germplasms%20of%20lablab%20Bean%20in%20Uttar%20Pradesh.pdf



ijeab.com/submit-paper/

Comments

Post a Comment

Popular posts from this blog

The Ecological Impacts of Light Pollution at Night-time a Mechanistic Appraisal

The Ecological Impacts of Light Pollution at Night-time a Mechanistic Appraisal Abdullahi MG, Roslan U, Kamarudin M. K. A. Artificial light at night and its negative consequences are of great interest in the fields of Ecology, Human Geography Astronomy, and Human Health. Most of the studies to date concentrated on the influences of light pollution has on our ability to view the night sky, on biodiversity, and ecosystems. Though, in recent years, with the use of new technologies sensors, which provide accurate information for determining of night lights at the area, most consideration were given for estimating artificial light at night within the urban areas. In this study, urban night lights within the cities of Nigeria was evaluated by monitoring data from the ground measurements using Sky Quality Meter (SQM-LU-DL) devices. Besides, the SQM was used at the zenith (upward direction) for maximum evaluating of artificial light at the sites. Differences in night sky bri...
Read more

Studying the tendency of citizens to participate in the protection and development of land scape in Tehran

Studying the tendency of citizens to participate in the protection and development of land scape in Tehran Shadi Maleki, Abbas Mafi, Seyedeh Mahsa Hosseini Today, as an essential part and parcel of urban landscape that they play a major role in metabolism and create a lack of serious damage to urban life. This study performed to investigate the willingness of citizens to participate in activities to protect and develop landscapeof Tehran district 4. The research was descriptive and correlation method that is used for collecting information. The statistical population consisted of district 4 of Tehran. The sample size was determined 230 by using Cochrane method. A questionnaire was used to collect data. According to the research, 63.04 percent of citizens showed participation in a high level. Among the variables investigated how citizen participation in conservation and development of landscape, effective strategies to motivate citizens to participate,the reasons for la...
Read more

Land Use Land Cover Change Detection by Using Remote Sensing Data in Akaki River Basin

Land Use Land Cover Change Detection by Using Remote Sensing Data in Akaki River Basin Adimasu Woldesenbet Worako   Land use land cover change (LULCC) is the result of the long time process of natural and anthropogenic activities that has been practiced on the land. GIS and remote sensing are the best tools that support to generate the relevant land use/cover change in the basin. This study was conducted in the Akaki River basin to detect land use land cover changes within the 30 years period (1985-2015) by using landsat imagery data acquired from the GCF. Supervised maximum likelihood algorithm classification were deployed to classify land use/cover into four prominent land use groups and data’s were processed by using ERDAS imagine 2014 and ArcGIS10.1 software. In the basin dominant LULC was agricultural land use which accounts around 56.28% and the second largest is built-up area by 31.51% and the rest, forest(11.9%) and water body(0.31%) coverage were takes t...
Read more