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<p>Black rice, whose genetics is very little known, is fast gaining popularity due to richness in better nutritional and medicinal properties and is now cultivated in various agricultural production systems of the world. We screened for 26 agro-morphological traits in two hundred forty three (representative of world germplasm resources) black rice accessions, to determine not only the nature and genetic diversity in the accessions but also to identify core accessions. Significant variability was observed for all the 26 traits with high values of heritability and genetic advance. Euclidean coefficient analysis clustered the 243 accessions in five clusters. Clusters I and III were constituted by high yielding accessions, while Cluster II consisted of mostly early maturing black rice accessions. No cluster was exclusive for one particular country. Pearson’s correlation explicitly showed that yield per plant was positively correlated with 15 of the 26 traits examined. Using PowerCore, a core set of 32 black rice accessions was identified which represents ~ 95% of the diversity of the worldwide collection of black rice germplasm.</p>

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Agro-morphological trait assay diversity in the identification of core subset among global population of black rice (Oryza sativa L.) accessions

  • 期刊论文

  • 发表日期：

    2025年8月5日

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  • Dhananjay Raturi,
  • Apekshita Singh,
  • Manisha Sharma,
  • Shailendra Goel,
  • Manju Chaudhary,
  • Vijay Rani Rajpal,
  • Riddhima Singh,
  • Dinabandhu Sahoo,
  • Vishnu Bhat,
  • Soom Nath Raina

摘要

Black rice, whose genetics is very little known, is fast gaining popularity due to richness in better nutritional and medicinal properties and is now cultivated in various agricultural production systems of the world. We screened for 26 agro-morphological traits in two hundred forty three (representative of world germplasm resources) black rice accessions, to determine not only the nature and genetic diversity in the accessions but also to identify core accessions. Significant variability was observed for all the 26 traits with high values of heritability and genetic advance. Euclidean coefficient analysis clustered the 243 accessions in five clusters. Clusters I and III were constituted by high yielding accessions, while Cluster II consisted of mostly early maturing black rice accessions. No cluster was exclusive for one particular country. Pearson’s correlation explicitly showed that yield per plant was positively correlated with 15 of the 26 traits examined. Using PowerCore, a core set of 32 black rice accessions was identified which represents ~ 95% of the diversity of the worldwide collection of black rice germplasm.