Vieira Campos Leonardo, Almeida Rodrigues Arthur, de Fátima Sales Juliana, Almeida Rodrigues Douglas, Carvalho Vasconcelos Filho Sebastião, Lino Rodrigues Cássia, Alves Vieira Dheynne, Tomaz de Castro Stella, Rubio Neto Aurélio
Laboratory of Seeds, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Laboratory of Plant Anatomy, Campus Rio Verde, Goiano Federal Institute of Education, Science and Technology (IFGoiano), P.O. Box 66, Rio Verde 75901-970, Brazil.
Plants (Basel). 2022 Apr 8;11(8):1014. doi: 10.3390/plants11081014.
Efficient methodologies for automated seed quality evaluations are important for the seed industry. Advanced seed technology research requires the use of adequate methods to ensure good seed performance under adverse environmental conditions; thus, providing producers with detailed, quick, and accurate information on structural seed integrity and ensuring vigorous production. To address this problem, this study aimed to determine (Marandu cv., Piatã cv. and Xaraés cv.) seed quality through radiographic imaging analyses associated with vigor tests and anatomical characterizations. seed cultivars displaying different physical and physiological attributes were selected and subjected to the 1000-seed weight test, water content determinations, X-ray analyses, germination tests, and anatomical characterizations. The X-ray analyses made it possible to establish a relationship between the X-ray images and other determined variables. Furthermore, the X-ray images can indicate evidence of internal and external damage that could later compromise germination. The Marandu and Piatã cultivars presented the highest germination percentages, germination speed indices, normal seedling development, and cellular structure preservation compared to the Xaraés cultivar. To summarize, X-ray analyses are efficient methods used for the selection of higher physical quality cultivars and can aid in the decision-making processes of companies and seed producers worldwide.
高效的种子质量自动评估方法对种子行业至关重要。先进的种子技术研究需要使用适当的方法来确保种子在不利环境条件下的良好性能；从而为生产者提供有关种子结构完整性的详细、快速且准确的信息，并确保旺盛的产量。为了解决这个问题，本研究旨在通过与活力测试和解剖特征相关的射线成像分析来确定（马兰杜品种、皮亚塔品种和哈拉伊斯品种）种子质量。选择了具有不同物理和生理特性的种子品种，并对其进行千粒重测试、水分含量测定、X射线分析、发芽测试和解剖特征分析。X射线分析使得能够在X射线图像与其他测定变量之间建立关系。此外，X射线图像可以显示可能会影响后期发芽的内部和外部损伤迹象。与哈拉伊斯品种相比，马兰杜和皮亚塔品种的发芽率、发芽速度指数、正常幼苗发育和细胞结构保存率最高。总之，X射线分析是用于选择更高物理质量品种的有效方法，并且可以帮助全球范围内的公司和种子生产者进行决策。
