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/123456789/84334| Title: | The Application of Biostatistical Techniques in Silkworm Breeding and Improvement |
| Other Titles: | Not Available |
| Authors: | Rahul Banerjee Manjunatha Gyarehalli Rangappa Ritwika Das Tauqueer Ahmad Pradip Kumar Sahu P. A. Sangannavar S. Manthira Moorthy V. Sivaprasad |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
| Published/ Complete Date: | 2024-10-16 |
| Project Code: | Not Available |
| Keywords: | Biostatistics; Desxriptive Statistics; Inferential Statistics; Statistical Software; Silkworm Genetic Resources |
| Publisher: | Springer, Singapore |
| Citation: | Banerjee, R. et al. (2024). The Application of Biostatistical Techniques in Silkworm Breeding and Improvement. In: Suresh, R.V., Saha, S., Alam, K. (eds) Biotechnology for Silkworm Crop Enhancement. Springer, Singapore. https://doi.org/10.1007/978-981-97-5061-0_14 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Statistical techniques hold a pivotal position in the realm of silkworm breeding and enhancement, encompassing both traditional and molecular methodologies. Despite the prevalence of various biostatistical tools, their utilization tends to be fragmented across different sources. The objective of this chapter is to elucidate the application of biostatistical methods, bridging theory and practice, with pertinent illustrations employing statistical software like Excel or R. Encompassing a diverse array of subjects, it addresses the conduct of experiments (design of experiments), assessment of data variability, identification of optimal genetic resources/germplasm, selection of requisite parental stock, assurance of breed/hybrid adaptability, determination of the most suitable breed/hybrid for commercialization, and the significance of statistical software in silkworm genomics. This chapter furnishes a lucid and thorough overview of employing statistical tools (univariate/multivariate and parametric/nonparametric) in the domain of silkworm breeding and enhancement. |
| Description: | Not Available |
| ISBN: | 978-981-97-5060-3 |
| Type(s) of content: | Book chapter |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Not Available |
| Journal Type: | Not Available |
| NAAS Rating: | Not Available |
| Impact Factor: | Not Available |
| Volume No.: | Not Available |
| Page Number: | Not Available |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | Not Available https://doi.org/10.1007/978-981-97-5061-0_14 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/84334 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ilovepdf_merged3 (1).pdf | 578.62 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.