Department of Genetics and Plant Breeding, S.V. Agricultural College, Acharya NG Ranga Agricultural University (ANGRAU), Tirupati, 517502, Andhra Pradesh, India.
Department of Genetics and Plant Breeding, Regional Agricultural Research Station, ANGRAU, Tirupati, 517502, Andhra Pradesh, India.
Mol Biol Rep. 2021 Mar;48(3):2209-2221. doi: 10.1007/s11033-021-06230-2. Epub 2021 Mar 6.
Rice varietal identification is a crucial aspect in breeding, seed production and trade in order to protect the interests of the farmers and consumers. As the number of varieties released is rising every year, the need to identify them unambiguously also increases. Here, we developed a novel barcode system to identify 62 rice genotypes using agro-morphological descriptors and molecular markers. In all, 62 rice genotypes, for 22 agro-morphological traits were recorded. In addition, 19 molecular markers were used for developing genotype-specific DNA fingerprints. The descriptor notes of 10 essential agro-morphological traits and allele codes of the polymorphic markers were used to generate two-dimensional (2-D) barcodes for the rice genotypes. Using agro-morphological traits, 31 rice genotypes were unambiguously distinguished while, with the polymorphic markers we were able to distinguish all rice genotypes except BPT2295 and Jaya. However, using both agro-morphological descriptors and molecular markers in combination, it was possible to distinguish all the rice genotypes used in the present study. These agro-morphological notes and allele codes from the molecular marker data together were used to develop QR (Quick Response) codes for rapid identification of rice genotypes as they facilitate storage of more data. In the present investigation, we have demonstrated the potentiality of agro-morphological traits and molecular markers in distinguishing rice genotypes. The novel QR code system proposed in the present study can also be extended to other crops not only for varietal identification but also for germplasm management and trade.
水稻品种鉴定是育种、种子生产和贸易中至关重要的环节，以保护农民和消费者的利益。随着每年发布的品种数量不断增加，明确识别它们的需求也在增加。在这里，我们开发了一种新的条码系统，使用农艺形态描述符和分子标记来鉴定 62 个水稻基因型。总共记录了 62 个水稻基因型的 22 个农艺形态特征。此外，还使用了 19 个分子标记来开发基因型特异性 DNA 指纹图谱。使用 10 个必需的农艺形态特征的描述符注释和多态性标记的等位基因代码，为水稻基因型生成二维（2-D）条码。使用农艺形态特征，可以明确区分 31 个水稻基因型，而使用多态性标记，可以区分除 BPT2295 和 Jaya 之外的所有水稻基因型。然而，通过同时使用农艺形态描述符和分子标记，有可能区分本研究中使用的所有水稻基因型。这些农艺形态特征注释和来自分子标记数据的等位基因代码一起用于开发 QR（快速响应）码，以快速识别水稻基因型，因为它们便于存储更多的数据。在本研究中，我们已经证明了农艺形态特征和分子标记在区分水稻基因型方面的潜力。本研究中提出的新型 QR 码系统不仅可以用于品种鉴定，还可以用于种质管理和贸易等其他作物。
