Efficiency of yield-based drought tolerance indices to identify tolerant genotypes in durum wheat

Mohammadi, Reza

doi:10.1007/s10681-016-1727-x

Cited by 66 publications

(68 citation statements)

References 39 publications

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“…In the present study, the SSI is significantly and negatively associated with yield. SSI has been utilized as a selection criterion to identify best performing genotypes under stress conditions in earlier studies in wheat [21,22,34]. In the present study, the positive and significant correlation between GY under normal and stress conditions corroborates earlier findings on wheat [22,29,35].…”

Section: Correlation Studies Of Selection Indicessupporting

confidence: 90%

“…According to Kendall's concordance coefficient, the consistency of the GMP selection index was found to be highest, followed by YSI, SSI, and TOL. Similar findings on the consistency of selection indices have also been reported in previous studies [21,22,34,35]. The low value of Kendall's concordance coefficient for the TOL index was observed because of the significant difference in the TOL value for individual year.…”

Section: Consistency Of the Tolerance Indicessupporting

confidence: 89%

“…In the present study (Figure 3), TOL had positive correlation with GY under HN condition, while it was negatively associated with GY under LN conditions. Similar results were also observed in different studies, wherein the TOL index had positive and significant correlation with yield under normal condition, but significant negative correlation under stress conditions in wheat [21,22,33,34]. The selection based on SSI and TOL will result in increased yield under high fertility conditions as the genotypes that are high-yielding under HN conditions suffered more yield reduction; therefore, relative value often leads to the selection of genotypes with the lowest absolute yield levels.…”

Section: Correlation Studies Of Selection Indicessupporting

confidence: 85%

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Identification of Wheat Cultivars for Low Nitrogen Tolerance Using Multivariable Screening Approaches

et al. 2020

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A set of thirty-six wheat cultivars were grown for two consecutive years under low and high nitrogen conditions. The interactions of cultivars with different environmental factors were shown to be highly significant for most of the studied traits, suggesting the presence of wider genetic variability which may be utilized for the genetic improvement of desired trait(s). Three cultivars, i.e., RAJ 4037, DBW 39 and GW 322, were selected based on three selection indices, i.e., tolerance index (TOL), stress susceptibility index (SSI), and yield stability index (YSI), while two cultivars, HD 2967 and MACS 6478, were selected based on all four selection indices which were common in both of the study years. According to Kendall’s concordance coefficient, the consistency of geometric mean productivity (GMP) was found to be highest (0.778), followed by YSI (0.556), SSI (0.472), and TOL (0.200). Due to the high consistency of GMP followed by YSI and SSI, the three selection indices could be utilized as a selection tool in the identification of high-yielding genotypes under low nitrogen conditions. The GMP and YSI selection indices had a positive and significant correlation with grain yield, whereas TOL and SSI exhibited a significant but negative correlation with grain yield under both high and low nitrogen conditions in both years. The common tolerant genotypes identified through different selection indices could be utilized as potential donors in active breeding programs to incorporate the low nitrogen tolerant genes to develop high-yielding wheat varieties for low nitrogen conditions. The study also helps in understanding the physiological basis of tolerance in high-yielding wheat genotypes under low nitrogen conditions.

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Section: Correlation Studies Of Selection Indicessupporting

confidence: 90%

Section: Consistency Of the Tolerance Indicessupporting

confidence: 89%

Section: Correlation Studies Of Selection Indicessupporting

confidence: 85%

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Identification of Wheat Cultivars for Low Nitrogen Tolerance Using Multivariable Screening Approaches

et al. 2020

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“…Different researches have also used different indices for selecting tolerant genotypes in various crops. For instances, SSI and GMP were preferable in common bean (Ramirez and Kelly, 1998), STI and GMP in maize (Khallili et al, 2004) and mung bean (Fernandez, 1992), durum wheat (Nouri et al, 2011;Mohammadi, 2016), safflower (Majidi et al, 2011;Bahramiet al, 2014), HM, YI, MP, GMP, STI in bread wheat (Khakwani et al, 2011;Dorostkar et al, 2015;Ghasemi and Farshadfar, 2015;Amare et al, 2019), Barley (Nazari and Pakniyat, 2010) and sorghum (Sory et al, 2017) implies that they were useful in identifying lines that yield well under well-watered and also relatively well in water-limited condition.…”

Section: Drought Tolerance Indicesmentioning

confidence: 99%

“…Among the drought management strategies, genetic manipulation of the crop to improve tolerance is preferred because of its sustainability and feasibility particularly to the resource-poor (Singh, 2002;Keneni, 2007).Breeding for drought-tolerant crops largely depends on the availability of the genetic resources for tolerance, reliable screening techniques, identification of genetic components of tolerance (Blum, 2011), successful genetic manipulation of the desired genetic backgrounds, and ultimate development of drought-tolerant cultivars with acceptable agronomic and quality-related traits (Araus and Cairns, 2014). The relative yield performance of genotypes under drought stressed and non-stressed environments can be used as an indicator to identify drought resistant varieties in breeding program for drought prone areas (Raman et al, 2012;Mohammadi, 2016). Based on their comparative yield performance in stress and non-stress environments genotypes were categorized in four groups; genotypes with high performance under both moisture regimes (group A), high yield in non-stress conditions (group B), high yield in stress conditions (group C), and low yield under both moisture regimes (group D) (Fernandez, 1992).…”

Section: Introductionmentioning

confidence: 99%

Selection efficiency of yield based drought tolerance indices to identify superior sorghum [Sorghum bicolor (L.) Moench] near isogenic lines (NILs) under two-contrasting environments

Abebe¹,

Belay²,

Tadesse³

et al. 2020

Afr. J. Agric. Res.

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Drought is the most significant environmental calamity on sorghum in Ethiopia and hence improving yield under drought is a major goal of plant breeding. This study was designed to introgress drought tolerant genes into adapted varieties through marker-assisted backcrossing and select based on tolerance indices. Sixty-one backcrossed lines and along with their nine parental lines were evaluated under full-irrigation and water-limited condition in Alpha lattice design with three replications. Yieldbased drought tolerance indices including stress tolerance index (STI), mean relative performance (MRP), geometric mean productivity (GMP), harmonic mean (HM), mean productivity(MP), tolerance index (TOL), stress susceptible index(SSI), yield stability index (YSI) and yield index (YI)were calculated based on yield obtained from the two moisture regimes. Results showed that genotypes differed significantly in yield and their indices. Mean grain yields that varied widely in stressed (1.1 to 4.42 t ha-1) and full-irrigation (2.25 to 5.71 t ha-1) were 1.93 and 3.7 t ha-1 , respectively. Of the backcrossed lines, four (BC 2 F 3 _ETSC_16258,BC 2 F 3 _ETSC_16216, BC 2 F 3 _ETSC_16257, and BC 2 F 3 _ETSC_16213) were top yielding in stressed conditions with values of 4.42, 3.5, 3.1, and 2.83 t ha-1 , respectively. These progenies also showed consistently higher values of STI, MRP, GMP, HM, MP, YSI, and YI and lower values of SSI and TOL indicating less sensitive to stress. The correlation and principal component analyses also revealed STI, MRP, GMP, HM, MP and YI showed highly significant positive correlation among themselves and yield in both environments, indicating their suitability for identifying superior genotypes. Overall, STI, MRP, GMP, HM and MP indices can be efficiently exploited to screen drought tolerance or superior genotype(s) under both moisture conditions.

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Water deficit induced physiological and amino acid responses in some rice varieties using NMR‐metabolic analysis

et al. 2021

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Deficit irrigation (DI) is a choice made by producers to improve water productivity and might be highly preferred in future production programs in arid regions. Identifying DI-tolerant cultivars will be critical to improve rice (Oryza sativa L.) productivity under the future climate change conditions. Nuclear magnetic resonance (NMR)-based metabolomics is a recent technique that has received less attention so far and can be used to compare genetic differences in DI tolerance. For this purpose, field experiments were carried out during two successive summer seasons in Egypt to compare genetic differences for water deficit tolerance in seven rice genotypes using NMR technique. The genotypes Azucena and IRAT 170 achieved the best values of water productivity (WP) under DI, recording 1.79 and 0.99 kg m -3 respectively, confirming their suitability in the water deficit breeding program to produce new promising lines and to keep yield potential stable under climate change conditions. The PLS-DA of 1H-NMR spectra showed a clear separation between genotypes under both full irrigation (FI) and DI conditions. Quantitative analysis showed that sucrose, threonine, glutamate, and allantoin were accumulated at DI when compared to FI conditions, and these metabolite compounds may be closely related to DI conditions. Tryptophan, as an aromatic amino acid, has increased across cultivars, most dramatically in Azucena and IRAT 170. Tyrosine and phenylalanine also increased in Azucena and IRAT 170, but not as dramatically as tryptophan. The rice genotypes Azucena and IRAT 170 could be successfully recommended for higher yields and quality under DI conditions.

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Efficiency of yield-based drought tolerance indices to identify tolerant genotypes in durum wheat

Cited by 66 publications

References 39 publications

Identification of Wheat Cultivars for Low Nitrogen Tolerance Using Multivariable Screening Approaches

Identification of Wheat Cultivars for Low Nitrogen Tolerance Using Multivariable Screening Approaches

Selection efficiency of yield based drought tolerance indices to identify superior sorghum [Sorghum bicolor (L.) Moench] near isogenic lines (NILs) under two-contrasting environments

Water deficit induced physiological and amino acid responses in some rice varieties using NMR‐metabolic analysis

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