KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/5394
Title: | ICAR-IASRI Newsletter, July- September 2013 |
Other Titles: | Not Available |
Authors: | Director ICAR-IASRI |
Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2013-10-01 |
Project Code: | Not Available |
Keywords: | Agricultural Statistics Design of Experiments Sample Surveys Statistical Genetics Forecasting Techniques Bioinformatics Computer Applications |
Publisher: | ICAR-IASRI, Library Avenue, New Delhi |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | For providing service oriented computing to Indian NARS users through IP authentication, Indian NARS Statistical Computing Portal (http://stat.iasri.res.in/ sscnarsportal) has been strengthened by adding the modules of Descriptive Statistics; Split Factorial (main A×B, sub C×D); Principal Component Analysis and Estimation of Heritability from half sib data. Weather-based crop yield forecasting models using GARCH and wavelet techniques at five important stages of wheat growth have been developed. The weekly maximum temperature at Crown Root Initiation (CRI) stage, tillering stage, anthesis stage, milk stage and dough stage and evapotranspiration at CRI stage are used for model development. Efficient Mating-Environmental Row-Column (MERC) designs have been obtained that are variance balanced for estimating the contrasts pertaining to the general combining ability (gca) effects free from specific combining ability (sca) effects when two cross classified sources of variations are present in the experimental material. Methodology has been developed for generating cloud free images by removing clouds and their shadows using geospatial techniques and spatial imputation techniques to extract information from remotely sensed data that is pure and free from any redundency. The whole genome based microsesatellite DNA marker database of tomato (TomSatDB) for mapping and variety identification has been developed |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | News Letter |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Not Available |
NAAS Rating: | Not Available |
Volume No.: | 18(2) |
Page Number: | 1-17 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://iasri.res.in/NewsLetters/year2013/July_Sep_2013.pdf |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/5394 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
July_Sep_2013.pdf | 924.63 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.