Khodadadi Mostafa, Hanifei Mehrdad, Sorkhilalehloo Behzad, Mehravi Shaghayegh, Abbasi Kohpalekani Jahangir, Gholizadeh Amir, Marefatzadeh-Khameneh Mani
Seed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran.
Department of Plant Genetics and Breeding, Faculty of Agriculture, Tarbiat Modares University, Tehran, 14115-336, Iran.
Heliyon. 2024 Mar 28;10(7):e28789. doi: 10.1016/j.heliyon.2024.e28789. eCollection 2024 Apr 15.
Drought is one of the serious abiotic factors influencing crop production such as coriander. Development of tolerant genotypes is prevented by the lack of effective selection criterion. Objectives of this study were evaluation of coriander accessions for water deficit stress and introduce a new multivariate method to select drought tolerant genotypes. For investigation of 19 traits, 16 Iranian endemic coriander genotypes were grown in a glasshouse under control and water deficit stress conditions. Shoot dry weight (SDW), fruit weight per plant (FWPP), fruit number per plant (FNPP) and umbel number per plant (UNPP) were decreased (Susceptibility Index>38%) under water deficit stress condition compared with the control condition. While the mean values of root dry weight (RDW) and root to shoot ratio (RTSR) were increased 1.49% and 97.33% under water stress condition, respectively. Because of high inheritance, high expected genetic gain, high genotypic correlation with together, well response to drought stress and high explanation of FWPP variation in regression model, the FWPP, branch number per plant (BNPP), FNPP and SPAD chlorophyll content in grain filing stage (SCCIGFS) traits were selected to screen coriander genotypes for drought tolerance in coriander. The principal component analysis mediated method (PCAMM) indicated as comprehensive criterion to screen drought tolerant genotypes. This method was highly heritabl, able to separate the Fernandez described A, B, C and D groups, no multicollinear and using multiple drought tolerance related traits. The PCAMM results showed that G13, G16, G2 and G12 genotypes belonged to Fernandez described A, B, C and D groups, respectively.
干旱是影响香菜等作物产量的严重非生物因素之一。缺乏有效的选择标准阻碍了耐旱基因型的培育。本研究的目的是评估香菜种质对水分亏缺胁迫的耐受性，并引入一种新的多变量方法来筛选耐旱基因型。为了研究19个性状，在温室中于对照和水分亏缺胁迫条件下种植了16个伊朗本土香菜基因型。与对照条件相比，在水分亏缺胁迫条件下，地上部干重（SDW）、单株果实重量（FWPP）、单株果实数量（FNPP）和单株伞形花序数量（UNPP）均下降（敏感指数>38%）。而在水分胁迫条件下，根干重（RDW）和根冠比（RTSR）的平均值分别增加了1.49%和97.33%。由于遗传率高、预期遗传增益高、基因型相关性高、对干旱胁迫响应良好且在回归模型中对FWPP变异的解释率高，因此选择FWPP、单株分枝数（BNPP）、FNPP和灌浆期籽粒SPAD叶绿素含量（SCCIGFS）等性状来筛选香菜耐旱基因型。主成分分析介导法（PCAMM）被认为是筛选耐旱基因型的综合标准。该方法遗传率高，能够区分费尔南德斯描述的A、B、C和D组，不存在多重共线性且使用了多个与耐旱性相关的性状。PCAMM结果表明，G13、G16、G2和G12基因型分别属于费尔南德斯描述的A、B、C和D组。
