Evaluation of Drought Tolerance in Safflower Genotypes Based on Drought Tolerance indices

Khalili, Mohsen; Pour-Aboughadareh, Alireza; Naghavi, Mohammad Reza; Mohammad-Amini, Esmail

doi:10.15835/nbha4219331

Cited by 25 publications

(20 citation statements)

References 15 publications

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“…Thus, based on SI, it seems that plant breeders can select lines with high yield and suitable agronomic traits for drought-prone condition. The ability of the STI, MP and GMP indices to identify genotypes suitably under both conditions observed in this study is consistent with the results reported by Nouri et al (2011) with durum wheat, Farshadfar et al (2012) with bread wheat, Naghavi et al (2013) with maize, Khalili et al (2014) with safflower, and Poursiahbidi and Pour-Aboughadareh (2013) with chick pea.…”

Section: Discussionsupporting

confidence: 92%

Assessment of drought tolerance in barley: integrated selection criterion and drought tolerance indices

Khalili¹,

Pour-Aboughadareh²,

Naghavi³

2016

EEB

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Although drought stress is the most serious problem affecting barley production, progress in the development of resistant cultivars is limited due to the lack of effective selection criteria. The objectives of this study were (i) to selection drought tolerant barley lines based on agro-morphological traits and tolerance indices and (ii) to assess use-efficiency of integrated selection criterion in screening of tolerance lines across multi-environments. For these purposes, 40 doubled haploid lines along with parental genotypes were grown during two consecutive years (2013)(2014) under different water regimes at the Research Station of Mahabad Payame-Noor University and Miandoab Agricultural Research Station, West Azerbaijan, Iran. According to combined analysis of variance, in both locations a large significant difference was observed among lines for most of the studied traits indicating that selection in this materials would be useful. Correlation coefficients (for two years and two locations) indicated significantly positive relation between different tolerance indices and integrated selection criterion with grain yields under non-stress and stress conditions. Multivariate analysis and threedimensional graphs showed that integrated selection criterion index, similar to other indices, was able to distinguish the tolerant and desirable lines across multiple environments. Finally, our results indicated that doubled haploid lines numbers L3, L13, L18, L29 and L35 were desirable lines for both conditions.

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Section: Discussionsupporting

confidence: 92%

Assessment of drought tolerance in barley: integrated selection criterion and drought tolerance indices

Khalili¹,

Pour-Aboughadareh²,

Naghavi³

2016

EEB

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“…Three indices (YI, YSI, and RSI) can be used to evaluate genotypic stability in both stressful and non‐stressful conditions. These indices are based on tolerance or susceptibility of genotypes, and have been used in many crops, including bread wheat (Sardouei‐Nasab et al., ), durum wheat (Etminan et al., ), barley (Khalili et al., ), safflower (Khalili et al., ), chickpea (Pour‐Siabidi and Pour‐Aboughadareh, ), and potato (Cabello et al., ). YSI and RSI produced similar ranking patterns in the characterization of tolerant genotypes, with G55, G47, G69, G71, and G46 having the highest values.…”

Section: Methods and Resultsmentioning

confidence: 99%

iPASTIC: An online toolkit to estimate plant abiotic stress indices

et al. 2019

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Premise In crop breeding programs, breeders use yield performance in both optimal and stressful environments as a key indicator for screening the most tolerant genotypes. During the past four decades, several yield‐based indices have been suggested for evaluating stress tolerance in crops. Despite the well‐established use of these indices in agronomy and plant breeding, a user‐friendly software that would provide access to these methods is still lacking. Methods and Results The Plant Abiotic Stress Index Calculator ( i PASTIC ) is an online program based on JavaScript and R that calculates common stress tolerance and susceptibility indices for various crop traits including the tolerance index ( TOL ), relative stress index ( RSI ), mean productivity ( MP ), harmonic mean ( HM ), yield stability index ( YSI ), geometric mean productivity ( GMP ), stress susceptibility index ( SSI ), stress tolerance index ( STI ), and yield index ( YI ). Along with these indices, this easily accessible tool can also calculate their ranking patterns, estimate the relative frequency for each index, and create heat maps based on Pearsonʼs and Spearmanʼs rank‐order correlation analyses. In addition, it can also render three‐dimensional plots based on both yield performances and each index to separate entry genotypes into Fernandezʼs groups (A, B, C, and D), and perform principal component analysis. The accuracy of the results calculated from our software was tested using two different data sets obtained from previous experiments testing the salinity and drought stress in wheat genotypes, respectively. Conclusions i PASTIC can be widely used in agronomy and plant breeding programs as a user‐friendly interface for agronomists and breeders dealing with large volumes of data. The software is available at https://mohsenyousefian.com/ipastic/ .

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“…The YI, YSI, and RSI are based on tolerance or susceptibility of genotypes and can be used in genotypic stability studies under both stressful and nonstressful conditions. These indices have been used in several crops, including wheat (Etminan et al., 2019), barley ( Hordeum L.; Khalili et al., 2016), safflower ( Carthamus tinctorius L.; Khalili et al., 2014) and potato ( Solanum tuberosum L.; Cabello, Monneveux, Mendiburu, & Bonierbale, 2013). Therefore, the breeders should take advantage of these indices on the basis of stress severity of the genotypes in their breeding programs.…”

Section: Discussionmentioning

confidence: 99%

“…A range of stress tolerance indices have been proposed and utilized for the evaluation and screening of tolerant genotypes under stressed conditions (Farshadfar, Mohammadi, Farshadfar, & Dabiri, 2013; Fernandez, 1992). For example, drought susceptibility index (DSI), stress tolerance Index (STI), and geometric mean productivity (GMP) index are efficient for identifying genotypes with good performance to both stressed and nonstressed conditions (Khalili, Pour‐Aboughadareh, & Naghavi, 2016; Khalili, Pour‐Aboughadareh, Naghavi, & Mohammad‐Amini, 2014). In a study, Akçura, Partigoç, and Kaya (2011) used stress susceptibility index (SSI), STI, yield stability index (YSI), and Harmonic mean (HM) to identify drought‐tolerant bread wheat ( Triticum aestivum ) genotypes, and suggested that SSI is a useful indicator for wheat breeding when the stress is severe while STI and HM are beneficial when the stress is less severe.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of sesame genotypes for agronomic traits and stress indices grown under different irrigation treatments

Gholamhoseini

2020

Agronomy Journal

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Sesame (Sesamum indicum L.) is among the oldest cultivated oilseed crops and is regarded as the "queen of oil seeds" because of its oil quality. Since sesame is cultivated in harsh environments, its seed yield is greatly affected by adverse conditions, such as drought. Therefore, we undertook a 2-yr experiment to understand the effects of deficit irrigation on yield, yield components, oil percentage, water use efficiency, and stress indices of six sesame genotypes. The experiment was conducted at Seed and Plant Improvement Institute, Karaj, located in the semi-arid region of Iran, during the 2017 and 2018 growing seasons. Deficit irrigation was induced by irrigating after 80% available water depletion, and irrigating after 40% available water depletion was considered to be normal irrigation. Among the genotypes, Oltan and USA-ns-96 produced the maximum seed and oil yield. Stress indices analysis revealed that the Sudan-94 genotype was the most tolerant to deficit irrigation, and the Dashtestan-2 genotype was the most sensitive. In addition, the Sudan-94, USA-ns-96, and Oltan genotypes showed the highest yield stability index and relative stress index. Regarding drought tolerance, the Sudan-94 genotype performed the best with minimum reduction in seed yield and other agronomic traits. Overall, these results suggest that the Sudan-94 genotype is the most drought-tolerant genotype with the maximum yield stability. Moreover, this study highlights the possibility of using Sudan-94 genotype in future breeding programs.

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Evaluation of Drought Tolerance in Safflower Genotypes Based on Drought Tolerance indices

Cited by 25 publications

References 15 publications

Assessment of drought tolerance in barley: integrated selection criterion and drought tolerance indices

Assessment of drought tolerance in barley: integrated selection criterion and drought tolerance indices

iPASTIC: An online toolkit to estimate plant abiotic stress indices

Evaluation of sesame genotypes for agronomic traits and stress indices grown under different irrigation treatments

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