Evaluation of bread wheat genotypes under drought stress conditions in seedling stage using drought indices

Roghaieh Khojamli, K. Z. Nezhad, Ali Asghar Nasrollahnezhad Ghomi, S. Bagherikia
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Various indices have been developed to evaluate crop response to various stresses, including tolerance index (TOL), productivity mean (MP), geometric mean productivity (GMP), harmonic mean (HM), stress tolerance index (STI), stress sensitivity index (SSI), yield index (YI), yield stability index (YSI) and relative stress index (RSI). The efficiency of each indices depends on the breeding objectives and the target environment. \nMaterials and methods \nIn order to evaluate some of the landrace wheat genotypes under drought stress conditions at the seedling stage, an experiment with 35 pure lines under three moisture conditions (control, drought stress with PEG6000 10% and 15%) was conducted in a completely randomized design (CRD) with three replications at Gorgan university of agricultural sciences and natural resources.. The coleoptile length was measured after eight days. The indices of MP, GMP, HM, STI, SSI, YI, TOL, RSI and YSI were calculated based on the coleoptile length values under control (Yp) and stress (Ys) conditions. Data analysis was performed using iPASTIC: an online toolkit to estimate plant abiotic stress indices. \nResults and discussion \nIn control and 10%-drought stress conditions, genotypes 11 and 2 had the highest of coleoptile length. While, in 15%-drought stress conditions, genotypes 3 and 6 had the highest of coleoptile length, respectively. Also in control and 15%-drought conditions genotypes 30 and 35 and in 10%-drought stress conditions genotypes 15 and 21 had the lowest of coleoptile length. Based on MP, GMP, HM, STI and YI indices, genotypes 2 and 11 were identified as tolerant genotypes, while genotypes 15, 21 and 30 were susceptible genotypes, under 10% drought stress conditions. Under 15%-drought stress conditions, MP, GMP, HM, STI and YI indices identified genotypes 21 and 34 as the most susceptible genotypes, whereas genotypes 30 and 35 were the most susceptible genotypes. Under three moisture conditions, the coleoptile length had the highest coefficient of correlation (positive and significant) with MP, GMP, HM and STI indices. Using three-dimensional plots, the genotypes were divided into four groups A, B, C, and D. The most appropriate indices being the ability to distinguish group A, from other groups. Group A selects genotypes that have high yield in both control and stress conditions. The result showed genotypes 3, 6, 11, 16, 19, 20 and 24 were classified as group A in both drought stress conditions. The Iranian commercial cultivars (genotypes 30, 34 and 35) placed in Group D, which indicates insufficient attention to drought stress at the seedling stage, while tolerance to terminal drought stress is one of the most important goals in wheat breeding programs of Iran. Principal component analysis (PCA) showed that the first two PCAs explained 99.78% of the variation in 10%-drought stress and 99.80% in 15%-drought stress conditions. MP, GMP, HM and STI had the sharp angles with together that it indicates high correlation among mentioned indices. Multivariate biplos showed that drought tolerant genotypes were adjacent to vectors related to the best drought tolerance indices. \nConclusions \nCorrelation coefficients of drought tolerance indices showed that MP, GMP, HM and STI were the most suitable indices for selecting of drought tolerant genotypes. Based on stress tolerance indices and 3D plots, genotypes 3, 6, 11 and 24 (originated from Turkey, Afghanistan, Iran and Afghanistan, respectively) were identified as drought tolerant genotypes at the seedling stage, while genotypes 14, 15, 21, 30 and 35 were identified as the most susceptible genotypes. The landrace genotypes identified in this study could be used in breeding programs of bread wheat under drought stress at the seedling stage.","PeriodicalId":31378,"journal":{"name":"Environmental Stresses in Crop Sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Stresses in Crop Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22077/ESCS.2020.3202.1820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction The existence of drought stress at the beginning of the growing season is one of the most important threatening factors in wheat production of Iran. The coleoptile length is the most important morphological trait in determining sowing depth, emergence power and seedling establishment. The coleoptile length has been used as an effective indicator for selecting the drought tolerant genotypes in wheat breeding programs. Various indices have been developed to evaluate crop response to various stresses, including tolerance index (TOL), productivity mean (MP), geometric mean productivity (GMP), harmonic mean (HM), stress tolerance index (STI), stress sensitivity index (SSI), yield index (YI), yield stability index (YSI) and relative stress index (RSI). The efficiency of each indices depends on the breeding objectives and the target environment. Materials and methods In order to evaluate some of the landrace wheat genotypes under drought stress conditions at the seedling stage, an experiment with 35 pure lines under three moisture conditions (control, drought stress with PEG6000 10% and 15%) was conducted in a completely randomized design (CRD) with three replications at Gorgan university of agricultural sciences and natural resources.. The coleoptile length was measured after eight days. The indices of MP, GMP, HM, STI, SSI, YI, TOL, RSI and YSI were calculated based on the coleoptile length values under control (Yp) and stress (Ys) conditions. Data analysis was performed using iPASTIC: an online toolkit to estimate plant abiotic stress indices. Results and discussion In control and 10%-drought stress conditions, genotypes 11 and 2 had the highest of coleoptile length. While, in 15%-drought stress conditions, genotypes 3 and 6 had the highest of coleoptile length, respectively. Also in control and 15%-drought conditions genotypes 30 and 35 and in 10%-drought stress conditions genotypes 15 and 21 had the lowest of coleoptile length. Based on MP, GMP, HM, STI and YI indices, genotypes 2 and 11 were identified as tolerant genotypes, while genotypes 15, 21 and 30 were susceptible genotypes, under 10% drought stress conditions. Under 15%-drought stress conditions, MP, GMP, HM, STI and YI indices identified genotypes 21 and 34 as the most susceptible genotypes, whereas genotypes 30 and 35 were the most susceptible genotypes. Under three moisture conditions, the coleoptile length had the highest coefficient of correlation (positive and significant) with MP, GMP, HM and STI indices. Using three-dimensional plots, the genotypes were divided into four groups A, B, C, and D. The most appropriate indices being the ability to distinguish group A, from other groups. Group A selects genotypes that have high yield in both control and stress conditions. The result showed genotypes 3, 6, 11, 16, 19, 20 and 24 were classified as group A in both drought stress conditions. The Iranian commercial cultivars (genotypes 30, 34 and 35) placed in Group D, which indicates insufficient attention to drought stress at the seedling stage, while tolerance to terminal drought stress is one of the most important goals in wheat breeding programs of Iran. Principal component analysis (PCA) showed that the first two PCAs explained 99.78% of the variation in 10%-drought stress and 99.80% in 15%-drought stress conditions. MP, GMP, HM and STI had the sharp angles with together that it indicates high correlation among mentioned indices. Multivariate biplos showed that drought tolerant genotypes were adjacent to vectors related to the best drought tolerance indices. Conclusions Correlation coefficients of drought tolerance indices showed that MP, GMP, HM and STI were the most suitable indices for selecting of drought tolerant genotypes. Based on stress tolerance indices and 3D plots, genotypes 3, 6, 11 and 24 (originated from Turkey, Afghanistan, Iran and Afghanistan, respectively) were identified as drought tolerant genotypes at the seedling stage, while genotypes 14, 15, 21, 30 and 35 were identified as the most susceptible genotypes. The landrace genotypes identified in this study could be used in breeding programs of bread wheat under drought stress at the seedling stage.
利用干旱指标评价苗期干旱胁迫条件下面包小麦基因型
生长季初干旱胁迫的存在是影响伊朗小麦生产的重要威胁因素之一。胚芽鞘长度是决定播种深度、出苗力和成苗的最重要形态特征。在小麦育种中,胚芽鞘长度作为选育耐旱基因型的有效指标。为了评价作物对各种胁迫的响应,人们开发了多种指标,包括耐受性指数(TOL)、生产力平均值(MP)、几何平均生产力(GMP)、谐波平均值(HM)、抗逆性指数(STI)、胁迫敏感性指数(SSI)、产量指数(YI)、产量稳定性指数(YSI)和相对胁迫指数(RSI)。各指标的效率取决于育种目标和目标环境。材料与方法为评价苗期干旱胁迫条件下的部分地方小麦基因型,采用完全随机设计(CRD) 3个重复,对35个纯品系在3种水分条件下(对照、干旱胁迫、PEG6000添加量10%和15%)进行了试验研究。8天后测量胚芽鞘长度。根据控制(Yp)和应激(Ys)条件下的胚芽鞘长度值计算MP、GMP、HM、STI、SSI、YI、TOL、RSI和YSI等指标。数据分析使用iPASTIC进行:一个在线工具包来估计植物非生物胁迫指数。结果与讨论在对照和10%干旱胁迫条件下,基因型11和2的胚芽鞘长度最大。而在15%干旱胁迫条件下,基因型3和基因型6的胚芽鞘长度最大。在对照和15%干旱胁迫条件下,基因型30和35以及10%干旱胁迫条件下,基因型15和21的胚芽鞘长度最低。根据MP、GMP、HM、STI和YI指数,在10%干旱胁迫条件下,基因2型和11型为耐受性基因型,基因15型、21型和30型为易感基因型。在15%干旱胁迫条件下,MP、GMP、HM、STI和YI指数鉴定基因型21和34最敏感,基因型30和35最敏感。在3种水分条件下,芽鞘长度与MP、GMP、HM和STI指标的相关系数最高(正且显著)。利用三维图将基因型分为A、B、C、d四组,以区分A组和其他组的能力为最合适的指标。A组选择在对照和胁迫条件下均高产的基因型。结果表明,3、6、11、16、19、20和24基因型在两种干旱胁迫条件下均为A组。伊朗商品品种(基因型30,34和35)被列为D组,这表明对苗期干旱胁迫的重视程度不够,而对末期干旱胁迫的耐受性是伊朗小麦育种计划中最重要的目标之一。主成分分析(PCA)表明,在10%干旱胁迫和15%干旱胁迫条件下,前两个PCA分别解释了99.78%和99.80%的变异。MP、GMP、HM、STI呈尖角,表明上述指标之间具有较高的相关性。多变量比较表明,抗旱基因型与最佳抗旱指标相关的载体相邻。结论抗旱指标的相关系数表明,MP、GMP、HM和STI是选育抗旱基因型最合适的指标。根据抗旱性指数和三维图,鉴定出3、6、11和24基因型(分别来自土耳其、阿富汗、伊朗和阿富汗)在苗期为抗旱性基因型,而14、15、21、30和35基因型为最敏感基因型。本研究鉴定的地方品种基因型可用于苗期干旱胁迫下面包小麦的育种规划。
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