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On the use of spectral reflectance indices to assess agro-morphological traits of wheat plants grown under simulated saline field conditions

机译:关于利用光谱反射率指数评估模拟盐水场条件下种植的小麦植物的农业形态特征

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Successful breeding of plants for salinity stress tolerance requires realistic growing conditions and fast, non-destructive evaluation techniques for phenotypic traits associated with salinity tolerance. In this study, we used subsurface water retention technique (SWRT) as a growing condition and spectral measurements as an evaluation method to assess different agro-morphological traits of salt-tolerant (Sakha 93) and salt-sensitive (Sakha 61) wheat genotypes under three salinity levels (control, 60, and 120mm NaCl). The effects of salinity on agro-morphological traits were evaluated and related with forty-five published vegetation- and water-spectral reflectance indices (SRIs) taken at both the heading and grain milk growth stages for each salinity level, genotype, and growth stage. In general, the agro-morphological traits gradually decreased as salinity levels increased; however, the reduction in these traits was more pronounced in Sakha 61 than in Sakha 93. The effect of salinity levels and their interaction with genotypes on the SRIs was only evident at the grain milk stage. The performance of the spectral reflectance indices depicted that the closest associations with agro-morphological traits depended on salinity level, degree of salt tolerance of the genotypes, and growth stage. The SRI-based vegetative indices correlated better with growth and yield of Sakha 93 than SRI-based water indices and vice versa for Sakha 61. The SRI-based vegetative and water indices are effective for assessment of agro-morphological traits at early growth stages under high salinity level. The functional relationship between grain yield per hectare and the best SRIs was linear for the high salinity level and Sakha 61; however, the quadratic model was found to best fit this relationship for the control, moderate salinity level, and Sakha 93. The overall results indicate that the usefulness of the SRIs for assessment of traits associated with salinity tolerance is limited to salinity level and growth stage.
机译:用于盐度胁迫耐受性的植物的成功繁殖需要现实的生长条件和快速,非破坏性评估技术,用于与盐度耐受相关的表型性状。在这项研究中,我们使用地下水保留技术(SWRT)作为日益增长的病症和光谱测量作为评估耐盐剂(Sakha 93)和盐敏感(Sakha 61)小麦基因型的不同农业形态特征三个盐度水平(对照,60和120mm NaCl)。盐度对农业形态特征的影响得到评估,并与每个盐度水平,基因型和生长阶段的标题和谷物乳生长阶段进行的四十五个公开的植被和水谱反射符号(SRIS)。一般而言,随着盐度水平的增加,农业形态学性状逐渐减少;然而,在Sakha 61中,这些特征的减少比在Sakha 93中更加明显。盐度水平的影响及其与SRIS基因型的相互作用仅在谷物牛奶阶段显而易见。光谱反射率指数的性能描绘了与农业形态特征的最接近的关联依赖于盐度水平,基因型的耐盐程度和生长阶段。基于SRI的植物指数随着SAKHA 93的生长和产量而与SRI为基础的水指数相关,对SRI的61.反之亦然。基于SRI的营养和水指数对于在早期生长阶段评估农业形态特征是有效的高盐度水平。每公顷籽粒产量和最佳SRI之间的功能关系是高盐度水平和Sakha 61的线性;然而,发现二次模型最适合对照,中等盐度水平和Sakha 93的这种关系。总体结果表明,SRIS用于评估与盐度耐受性相关的特征的有用性限于盐度水平和生长阶段。 。

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