ArticleData in brief2024
Genotypic selection and trait variation in sweet orange (
Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- In-situ characterization of wild Annona squamosa L. genotypes reveals rich genetic diversity and elite selections for crop improvement and conservation.Scientific reports · 2026Article
- Multivariate assessment of newly developed guava (Psidium guajava L.) hybrids for tree and fruit quality traits.Scientific reports · 2026Article
- Genetic variability and diversity analysis for some agronomic traits of a sweet potato (Heliyon · 2024Article
- Dataset on developing low glycemic index rice variety suitable for irrigated ecosystem in Bangladesh.Data in brief · 2024Article
- Article
- Sweet potato (Heliyon · 2024Article
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Authors and funding
8 authors.
Funding
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Abstract
The dataset primarily focused on selecting genotypes of sweet oranges based on their phenotypic performances. The dataset resulted significant variations in the best linear unbiased predictions (BLUPs) of 20 out of 21 traits, including leaves, flowers, fruits, and seeds. A strong positive correlation (r= 0.73 to 0.95) was observed among the majority of morphological traits. The sweet orange genotypes demonstrated considerable genetic variance, surpassing 65% for almost all traits, with a selection accuracy exceeding 92%. Using the multi-trait genotype-ideotype distance index (MGIDI), CS Jain-001 emerged as the top-ranked genotype, followed by BAU Malta-3 and CS Jain-002 in order of desirability. The broad sense heritability of selected traits was above 75.60%, and the selection gain reached a maximum of 12.60. These identified genotypes show promise as potential parent donors in breeding programs, leveraging their strengths and weaknesses to develop promising varieties in Bangladesh.
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