Evaluation of drought resistance indices under various environmental conditions

Mardeh, A. Sio-Se; Ahmadi, Ameneh; Poustini, K; Mohammadi, Valiollah

doi:10.1016/j.fcr.2006.02.001

Cited by 271 publications

(140 citation statements)

References 28 publications

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“…The YSI was positively correlated with Ys and had negative correlation with Yp, so highest values of YSI belonged to genotypes that exhibited least yield in irrigated conditions, but exhibited high yield under rain-fed conditions. This result were consistent with Sio-Se Mardeh et al (2006) and Zebarjadi et al (2012). Naghavi et al (2013) showed that correlation between MP, GMP, Ys and Yp was positive.…”

Section: Introductionsupporting

confidence: 83%

“…A significant negatively correlation was observed between SSI and grain yield under stress condition. Hence, as for the positive correlation between SSI and yield under non-stress (Yp) condition and a negative correlation between SSI and yield under stress condition suggested that selection based on SSI will result in increased yield under non-stress conditions (Sio-Se Mardeh et al, 2006). The YSI was positively correlated with Ys and had negative correlation with Yp, so highest values of YSI belonged to genotypes that exhibited least yield in irrigated conditions, but exhibited high yield under rain-fed conditions.…”

Section: Introductionmentioning

confidence: 96%

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

Khalili

Pour-Aboughadareh

Naghavi

et al. 2014

Not Bot Hort Agrobot Cluj

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Among the different environmental stresses, drought is the constraint that induces a highly negative effect on crop production. In order to identify drought tolerant genotypes in safflower, an experiment was conducted in a randomized complete block design with three replications under rainfed and irrigated conditions during 2011-2012 cropping season at Agricultural and Natural Resources Research Center of West Azerbaijan, Iran. Seven drought resistance indices including Stress Tolerance Index (STI), Tolerance Index (TOL), Stress Susceptibility index (SSI), Mean Productivity (MP), Geometric Mean Productivity (GMP), Yield Index (YI) and Yield Stability Index (YSI) were calculated for each genotype based on grain yield under stress and normal conditions. Analysis of variance showed significant difference among genotypes in the terms of grain yield under rainfed and irrigated conditions. Result of correlation analysis between grain yield in both conditions and calculated drought resistance indices revealed that STI, MP, GMP and YI were the best indices for identifying high yielding genotypes in both conditions (drought tolerant genotypes). Gabriel Biplot Multivariate chart showed that 'Syrian', 'PI-537530' and 'PI-537636-S' genotypes relatively identified as drought tolerant and 'Hartman', 'Gila', 'PI-537636', 'PI-537598', 'LRV-51-51' and 'Yenice' genotypes identified as susceptible genotypes. Cluster analysis based on grain yield and drought tolerance indices classified the genotypes into four clusters, therefore this result was consistence with results of biplot analysis.

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Section: Introductionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 96%

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

Khalili

Pour-Aboughadareh

Naghavi

et al. 2014

Not Bot Hort Agrobot Cluj

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“…Thus, efficient screening techniques are a pre-requisite for success in selecting desirable genotypes through any breeding program (Mitra, 2001). Until now, however, no efficient standard selection criteria have been proposed (Golabadi et al, 2006;Sio-Se Mardeh et al, 2006). Selection for yield automatically integrates all the known and unknown factors that contribute to drought tolerance (Richards, 1996).…”

Section: Introductionmentioning

confidence: 99%

“…Several studies stated the effectiveness of this widely used drought index under moderate stress (Golabadi et al, 2006;Sio-Se Mardeh et al, 2006;Mohammadi et al, 2010;Farshadfar and Elyasi, 2012;Farshadfar et al, 2013) and severe stress (Moosavi et al, 2008;Talebi et al, 2009;Mohammadi et al, 2011;Moradi et al, 2012). MP represents the average yield under stress and non-stress conditions; allowing to describe yield variation under various moisture regimes (Rosielle and Hamblin, 1981).…”

Section: Spearman Correlations Among Grain Yield (Yp and Ys) And Droumentioning

confidence: 99%

“…However, strong negative correlation was found between TOL and Yp at all stress levels (Table 3) (Talebi et al, 2009;Akçura and Ceri, 2011;Moradi et al, 2012;Rahmani et al, 2013). Sio-Se Mardeh et al (2006) suggested that selection based on TOL could result in reduced yield under well-watered conditions (low Yp and Ys). TOL index only assess the plasticity of the genotypes under study, whereas a variety may rank first in both environments but still have higher TOL than the other varieties (Saba et al, 2001).…”

Section: Spearman Correlations Among Grain Yield (Yp and Ys) And Droumentioning

confidence: 99%

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Efficiency of drought tolerance indices under different stress severities for bread wheat selection

Bennani¹,

Nsarellah²,

Jlibene³

et al. 2017

Aust J Crop Sci

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Drought is a world-wide spread problem adversely affecting bread wheat production in rainfed agro-ecosystems. Development and identification of efficient selection criteria for developing drought tolerant wheat varieties with stable and high yield potential is of paramount importance. This study was carried out to evaluate 24 indices for selecting the best high yielding and drought tolerant cultivars, among 40 bread wheat genotypes, under four levels of stress intensities: no stress, mild (0.25, 0.35) and severe (0.57). The mean productivity (MP), modified stress tolerance index (MSTIk), superiority index (Pi), mean relative performance (MRP), relative efficiency index (REI), geometric mean productivity (GMP), stress tolerance index (STI), harmonic mean (HARM) and relative decrease in yield (RDY) showed a high power of discrimination among genotypes, and expressed significant correlations with yields under both stress and non-stressed conditions at all stress intensities. This group of indices was capable to select the highest mean yield associated with the least mean variance at 20 % selection pressure. However, as the stress intensity became greater (>35 %), the efficiency of these indices decreased, especially at high stress intensity (57%), where only Pi and MP were still able to target the highest performances. MRP, REI, GMP, RDY and STI can be used interchangeably. Based on GGE analysis, the best performing genotypes were AUS30355, followed by Gladius, Amir-2 and AUS30354 that showed high yield and stability across all the environments. These genotypes are recommended for direct release and/or for use as parents in the breeding programs.

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Evaluation of drought tolerance in different genotypes of foxtail millet during the entire growth period

et al. 2021

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Drought significantly affects foxtail millet [Setaria italica (L.) Beauv.] yield, and its adverse effects can be mitigated via genetic improvement to generate drought‐tolerant varieties. This study aimed to screen drought‐tolerant materials and genes in foxtail millet germplasm resources to improve the efficiency of breeding for drought tolerance. A field experiment was conducted in a randomized incomplete block design (α‐lattice design) and repeated thrice with 30 foxtail millet genotypes treated under drought stress or normal water supply (control) for 2 yr. The agronomic traits and drought tolerance coefficient (DC) of each genotype were assessed during the entire growth period. The soil water environment and genotype significantly affected the indices. Moreover, the interaction between genotype and soil water environment significantly affected the growth traits of foxtail millet. A genotype plus genotype × environment interaction (GGE) biplot revealed mixed correlations among the DC indices. Various indices had different effects on the drought tolerance of foxtail millet. The drought tolerance performance and evaluation indices of foxtail millet were ranked according to the distance from the “ideal” drought tolerance genotype and index. The drought tolerance was classified into five categories according to the comprehensive evaluation index (D‐value) cluster analysis. Discriminant analysis showed that the plant height and spike weight could be used as indices for identifying drought tolerance identification in foxtail millet. The GGE biplot results were consistent with the results based on the D‐value. Therefore, multiple agronomic traits combined with D‐value as an evaluation parameter can effectively and accurately identify drought‐tolerant foxtail millet.

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Evaluation of drought resistance indices under various environmental conditions

Cited by 271 publications

References 28 publications

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

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

Efficiency of drought tolerance indices under different stress severities for bread wheat selection

Evaluation of drought tolerance in different genotypes of foxtail millet during the entire growth period

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