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J. S. Sandhu

Vice Chancellor, SKN Agriculture, University, Jobner, VC, NDUAT, Faizabad, Deputy Director General (Crop Science), Indian Council of Agricultural Research (ICAR), New Delhi

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CLASSIFICATION OF WHITE CLOVER COLLECTIONS USING METEROGLYPH ANALYSIS

Sindhu Sareen

Affiliations

¹Indian Grassland and Fodder Research Institute, Regional Research Centre, CSKHPKV Campus, Palampur - 176 062, India

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Cite article:- Sareen Sindhu (2025). CLASSIFICATION OF WHITE CLOVER COLLECTIONS USING METEROGLYPH ANALYSIS. Legume Research. 29(1): 38 - 42. doi: .

ABSTRACT

Fifty-one collections of white clover (forty-three indigenous and 8 exotic) were evaluated and were categorized using metroglyph and index score analysis. These were grouped into 8 clusters. Cluster ITJ was the largest with 23.52% of collections. The cumulative index score ranged from 12 (RRCP-L-51) to 27 (RRCP-L-12). About 14% collections had highest mean index score of 17. Cluster V had highest mean index score of 20.8. The study revealed that these white clover collections are highly variable. On the basis of highest cumulative index score, eight collections were identified. These collections bear the desirable traits and hence can be used in the improvement programme of white clover.

KEYWORDS

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