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Genotypic selection and trait variation in sweet orange (Citrus sinensis L. Osbeck) dataset of Bangladesh.
Khan, Mohammad Anwar Hossain; Rahim, M A; Robbani, Mahbub; Hasan, Fakhrul; Molla, Md Rezwan; Akter, Sanjida; Ahsan, Abul Fazal Mohammad Shamim; Alam, Zakaria.
Afiliación
  • Khan MAH; Tuber Crops Research Centre, Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh.
  • Rahim MA; Department of Horticulture, Bangladesh Agricultural University, Bangladesh.
  • Robbani M; Patuakhali Science and Technology University, Bangladesh.
  • Hasan F; Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh.
  • Molla MR; Bangladesh Agricultural Research Council, Bangladesh.
  • Akter S; Entomology Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh.
  • Ahsan AFMS; Physiology Division, Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh.
  • Alam Z; Tuber Crops Research Centre, Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh.
Data Brief ; 54: 110333, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38550231
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: Bangladesh Pais de publicación: Países Bajos