Genetic Diversity Analysis of  Oryza glaberrima Derived Introgression Lines under Direct Seeded Condition

B. K. Nikhil; S. P. Prem Sagar; J. Suresh; V. Swathy; Aleena; Ch. Ravindra; S. C.  Manoj Kumar; Manasani Prashanath; Anantha Siddaiah Madhyavenkatapura; Kalyani M. Barbadikar; Ponnuvel Senguttuvel; A. V. S. R. Swamy; Raman Meenakshi Sundaram; Channappa Gireesh

doi:10.9734/ijecc/2023/v13i92546

Research Article Open access CC BY 4.0

Genetic Diversity Analysis of Oryza glaberrima Derived Introgression Lines under Direct Seeded Condition

B. K. Nikhil, S. P. Prem Sagar, J. Suresh, V. Swathy, Aleena, Ch. Ravindra, S. C. Manoj Kumar, Manasani Prashanath, Anantha Siddaiah Madhyavenkatapura, Kalyani M. Barbadikar, Ponnuvel Senguttuvel, A. V. S. R. Swamy, Raman Meenakshi Sundaram, Channappa Gireesh

International Journal of Environment and Climate Change · pp. 3058–3064 · Published 7 Aug 2023

10.9734/ijecc/2023/v13i92546

Abstract

The increasing water scarcity and labour wages have led to the search for alternative crop establishment in rice, such as direct seeded rice (DSR). DSR can reduce unproductive water flow, reduce labour requirements, and mitigate greenhouse gas emissions. Genetic diversity was assessed for hundred and three rice introgression lines using Mahalanobis’ D2 analysis and Tochers’ clustering method. Cluster I had the largest number of genotypes (73), tailed by Cluster II with 15 genotypes. Cluster III and IV had the maximum intra-cluster distances, with Cluster IV having a significant number for desirable characters. The results disclosed that days to 50% flowering, tailed by plant height contributed much to diversity. The most significant inter-cluster distances were found in Clusters involving III and IV, II and III, I and IV and II and IV. These introgression lines can be utilised in crosses, resulting in fruitful recombination during the selection process.

Direct Seeded Rice (DSR) diversity introgression lines Oryza glaberrima

References (10)

1 Indian Journal of Genetics and Plant Breeding [DOI]
2 The nature of divergence in relation to breeding systems in some crop plants
3 Genetic divergence in rainfed rice.
4 Genetic variability and diversity analysis in selected rice (Oryza sativa L.) varieties [DOI]
5 Genetic divergence for quantitative traits in rice germplasm
6 Improved phenotyping procedure for evaluating resistance in rice against gall midge (Orseolia oryzae, Wood-Mason) [DOI]
7 Genetic analysis of early seedling vigour in Oryza glaberrima accessions under laboratory and direct-seeded rice conditions [DOI]
8 Estimating genetic divergence in rice (Oryza sativa L.) using D² analysis [DOI]
9 Genetic Variability and Divergence in ‘New Plant Type’ Rice Genotypes
10 Genetic analysis and identification of QTLs associated with yield-enhancing traits in Oryza sativa IR64 × Oryza glaberrima interspecific backcross populations [DOI]

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B. K. Nikhil, S. P. Prem Sagar, J. Suresh, V. Swathy, Aleena, Ch. Ravindra, S. C. Manoj Kumar, Manasani Prashanath, Anantha Siddaiah Madhyavenkatapura, Kalyani M. Barbadikar, Ponnuvel Senguttuvel, A. V. S. R. Swamy, Raman Meenakshi Sundaram, Channappa Gireesh (2023). Genetic Diversity Analysis of Oryza glaberrima Derived Introgression Lines under Direct Seeded Condition. International Journal of Environment and Climate Change , 3058–3064. https://doi.org/10.9734/ijecc/2023/v13i92546

Affiliations

B. K. Nikhil — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India and Department of Genetics and Plant Breeding, College of Agriculture, PJTSAU, Hyderabad, Telangana, India.
S. P. Prem Sagar — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India and Department of Genetics and Plant Breeding, University of Agricultural Sciences, Raichur-584104, Karnataka, India.
J. Suresh — Department of Genetics and Plant Breeding, College of Agriculture, PJTSAU, Hyderabad, Telangana, India.
V. Swathy — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
Aleena — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
Ch. Ravindra — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
S. C. Manoj Kumar — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
Manasani Prashanath — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
Anantha Siddaiah Madhyavenkatapura — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
Kalyani M. Barbadikar — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
Ponnuvel Senguttuvel — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
A. V. S. R. Swamy — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
Raman Meenakshi Sundaram — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.
Channappa Gireesh — Indian Council of Agricultural Research (ICAR), Indian Institute of Rice Research (IIRR), India.

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