Khan Mohammad Anwar Hossain, Rahim M A, Robbani Mahbub, Hasan Fakhrul, Molla Md Rezwan, Akter Sanjida, Ahsan Abul Fazal Mohammad Shamim, Alam Zakaria
Tuber Crops Research Centre, Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh.
Department of Horticulture, Bangladesh Agricultural University, Bangladesh.
Data Brief. 2024 Mar 16;54:110333. doi: 10.1016/j.dib.2024.110333. eCollection 2024 Jun.
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.
该数据集主要侧重于根据甜橙的表型表现来选择基因型。该数据集在21个性状中的20个的最佳线性无偏预测（BLUPs）方面产生了显著差异，这些性状包括叶子、花朵、果实和种子。在大多数形态性状之间观察到强正相关（r = 0.73至0.95）。甜橙基因型表现出相当大的遗传变异，几乎所有性状的遗传变异都超过65%，选择准确率超过92%。使用多性状基因型-理想型距离指数（MGIDI），CS Jain-001成为排名最高的基因型，其次是BAU Malta-3和CS Jain-002，按理想程度排序。所选性状的广义遗传力高于75.60%，选择增益最高达到12.60。这些鉴定出的基因型有望作为育种计划中的潜在亲本供体，利用它们的优缺点在孟加拉国培育出有前景的品种。
