Association analysis of molecular markers with traits under drought stress in safflower

2017 ◽  
Vol 68 (2) ◽  
pp. 167 ◽  
Author(s):  
Fatemeh Ebrahimi ◽  
Mohammad Mahdi Majidi ◽  
Ahmad Arzani ◽  
Ghasem Mohammadi-Nejad
Keyword(s):  
Drought Stress ◽  
Association Analysis ◽  
Seed Yield ◽  
Oil Content ◽  
Agronomic Traits ◽  
Carthamus Tinctorius ◽  
Stress Conditions ◽  
Oil Yield ◽  
Population Structure Analysis ◽  
Marker Loci

This study was performed to identify marker loci associated with important agronomic traits and oil content under two moisture conditions and find stable associations in test environments in a worldwide collection of safflower (Carthamus tinctorius L.). Association analysis was conducted between eight important traits and 341 polymorphic AFLP markers produced by 10 primer combinations (EcoRI/MseI) in 100 safflower genotypes. The results of population structure analysis identified three main subpopulations possessing significant genetic differences revealed by analysis of molecular variance. Association analysis explained the highest percentage of trait variation for seed yield (38%) under drought-stress conditions and number of seeds per capitulum (27.75%) under normal conditions. Four markers (M51/E41-6, M51/E41-4, M61/E40-6 and M62/E40-17) in drought-stress conditions and two markers (M62/E40-35 and M47/E37-13) in normal conditions were simultaneously associated with seed and oil yield. The markers stably associated with traits in all test environments included M62/E40-35 with seed yield in normal conditions, M62/E40-17 with seed yield in drought stress conditions, and M62/E41-11 with oil yield in drought-stress conditions. Significant relationships were identified between oil content and three markers (M61/E40-6, M47/E37-8 and M51/E32-9) under drought-stress conditions, and three markers (M61/E2-2, M61/E40-6 and M51/E41-12) under normal conditions. Among them, M51/E32-9 and M61/E2-2 markers showed stable association with oil content under drought-stress and normal conditions, respectively. Detected markers would be useful in marker-assisted breeding programs for safflower improvement in arid and semi-arid area.

scholarly journals Influence of cut-off irrigation on seed quality and physiological indices of various safflower (Carthamus tinctorius L.) genotypes

2019 ◽  
Vol 72 (4) ◽  
Author(s):  
Sayed Mohammad Taghi Tabib Loghmani ◽  
Forood Bazrafshan ◽  
Omid Alizadeh ◽  
Bahram Amiri ◽  
Abdollah Bahrani
Keyword(s):  
Plant Height ◽  
Water Deficit ◽  
Seed Yield ◽  
Harvest Index ◽  
Oil Content ◽  
Carthamus Tinctorius ◽  
Oil Yield ◽  
Water Deficit Stress ◽  
Oilseed Crop ◽  
Fars Province

Safflower (<em>Carthamus tinctorius</em> L.) is an oilseed crop adapted to arid and semiarid regions. In this study, an experiment was performed to evaluate the effects of water deficiency on plant height, 1,000-grain weight, seed yield, harvest index, relative water content (RWC), oil yield, and oil content in 15 safflower genotypes. A split-plot randomized complete blocks design was arranged with three replications. Safflower plants were grown under normal irrigation and water deficit conditions in Sarvestan, Fars Province, Iran during 2016 and 2017 growing seasons. Combined analysis results indicated that water deficit stress had negative effects on all measured indices. Average seed yield declined by 65.91% (2,337.91 to 796.79 kg ha<sup>−1</sup>) due to water deficit stress. Genotype also had a significant effect on evaluated indices, and the interaction between genotype and irrigation significantly influenced all indices except plant height. Under both conditions, highest RWC, seed yield, and oil yield were observed in Dincer and PI-537598 genotypes. Maximum plant height and 1,000-seed weight in both irrigation conditions were observed in the Dincer genotype. In the normal irrigation condition, maximum harvest index and oil content were observed in the CW-74 genotype. Thus, Dincer and PI-537598 were classified as the best genotypes (based on seed yield, RWC, and oil yield) under both normal irrigation and water deficit stress conditions.

Determinants of yield and quality in winter rapeseed (Brassica napus L.) under Mediterranean conditions

2017 ◽  
Vol 155 (10) ◽  
pp. 1577-1593 ◽  
Author(s):  
J. T. TSIALTAS ◽  
A. N. PAPANTONIOU ◽  
D. BAXEVANOS ◽  
I. I. PAPADOPOULOS ◽  
N. KARAIVAZOGLOU ◽  
...  
Keyword(s):  
Oleic Acid ◽  
Linolenic Acid ◽  
High Temperatures ◽  
Seed Yield ◽  
Oil Content ◽  
Agronomic Traits ◽  
Oil Yield ◽  
Tall Stature ◽  
Yield And Quality ◽  
Winter Rapeseed

SUMMARYWinter rapeseed was introduced into Greece a decade ago to provide oil for biodiesel. To identify agronomic traits affecting yield and quality, three hybrids and an inbred line were tested over two seasons (2005–2006 and 2006–2007) and four locations, in central and northern Greece, varying in pedo-climatic conditions. The large variations in seed yield, quality and agronomic traits were largely ascribed to location; in contrast, cultivar accounted for ⩽0·010 of the variation for many traits. Below 40°N, rapeseed is a risky crop; short season, high temperatures and low rainfall during reproductive growth diminished seed yield and oil content, increased oleic and erucic acid and minimized linolenic acid. A hybrid, Exact, with tall stature and large seeds was adaptive to such conditions. The most productive location had dense stands with tall plants bearing numerous pods on the main raceme. At the site with the coldest winter, plant density (PD) was lowest (ca. 30 plants/m2) but rapeseed compensated by producing large seeds, with high oil content and harvest index (HI). A biplot revealed that the hybrid Excalibur, outperforming the other cultivars for oil content in six out of eight trials, produced the highest and most stable oil yield. Combined data showed that seed yield and oil yield were positively correlated with PD, seed size and HI and negatively to the number of pods on branches and per plant. Large seeds had high seed oil content. Oleic acid was negatively correlated to linolenic acid concentration. High temperatures and low rainfall favoured oleic acid, which was positively associated with seed number per pod.

Association analysis for seed yield, forage yield and traits related to drought tolerance in orchardgrass (Dactylis glomerata)

2018 ◽  
Vol 69 (11) ◽  
pp. 1150
Author(s):  
Mozhgan Abtahi ◽  
Mohammad Mahdi Majidi ◽  
Aghafakhr Mirlohi ◽  
Fatemeh Saeidnia
Keyword(s):  
Water Stress ◽  
Drought Tolerance ◽  
Association Analysis ◽  
Seed Yield ◽  
Dactylis Glomerata ◽  
Stress Conditions ◽  
Forage Yield ◽  
Phenotypic Traits ◽  
Tolerance Index ◽  
Population Structure Analysis

Polycross designs bridge the two usual mapping approaches (bi-parental mapping and association analysis) and increase mapping power by incorporating greater genetic diversity. In this study, we used diverse genotypes selected from polycrossed progenies to identify marker loci associated with a set of seed- and forage-related traits as well as drought tolerance in orchardgrass (Dactylis glomerata L.). Associations were estimated between phenotypic traits and 923 DNA markers (including 446 inter-simple sequence repeats and 477 sequence-related amplified polymorphism markers). Positive relationship was found between forage yield and seed yield under normal and water-stress conditions, indicating that simultaneous improvement of seed and forage yield could be achieved in orchardgrass. The results of population structure analysis identified five main subpopulations possessing significant genetic differences. Under normal and water-stress conditions, respectively, 341 and 359 markers were significantly associated with the studied traits. Most of these markers were associated with more than one trait. Water-environment specificity of trait-associated markers indicates that genotype × environment interactions influence association analysis. However, 75 stable associations were identified across two moisture conditions for traits such as seed and forage yield. Marker–trait association revealed that markers M1/E1-5, M2/E6-5, M3/E4-6, P14-7 and P845-7 were consistently linked with drought-tolerance index. The identified marker alleles associated with multiple traits across environments may be considered for further analysis for their chromosome locations, the corresponding sequences and their potential functions.

scholarly journals Impact of Silicon Foliar in Some of Antioxidant Enzymes and Oil Yield in Safflower Cultivars Exposed to Drought Stress

2021 ◽  
Vol 36 (1) ◽  
pp. 142-152
Author(s):  
Mehdi Sadeghi ◽  
Foroud Bazrafshan ◽  
Mahdi Zare ◽  
Omid Alizadeh ◽  
Bahram Amiri
Keyword(s):  
Drought Stress ◽  
Seed Yield ◽  
Oil Content ◽  
Interactive Effects ◽  
Oil Yield ◽  
Mineral Nutrient ◽  
Fars Province ◽  
Irrigation Level ◽  
Malondialdehyde Content ◽  
And Function

Drought stress is considered as a main restriction to have the best potential crops performance in arid and semi-arid regions in the world. Hence, some mechanistic strategies are required to manage drought stress detrimental influences. Silicon as an essential mineral nutrient, plays an important role in physiology, metabolism, and function of crops exposed to drought stress. This study was carried out to evaluate the influences of various irrigation regimes and silicon foliar on three safflower cultivars to find the optimal irrigation level and silicon fertilizer. Three levels of irrigation (0, 2 and 4 times irrigation during growth) were main plots and sub plots were three silicon foliar levels (0, 1 and 2 mM) and three safflower cultivars (Goldasht, Padideh and Golmehr). This experiment was performed in Firouzabad city, Fars Province, Iran with latitude 28°51' N and longitude 52°36' E, during 2018 and 2019. Malondialdehyde content (MDA), polyphenol oxidase (PPO), superoxide dismutase (SOD) and ascorbate peroxidase (APX), oil yield, oil content and seed yield were measured on these cultivars. Interactive effects of irrigation, silicon and cultivars were significant (p<0.01) for MDA, APX, oil yield and oil content. Drought stress in the all safflower cultivars caused a decline in seed yield, oil content and oil yield. On the other hands, silicon was mediated to decrease effect of drought stress and increased amount of seed yield, oil content, oil yield, PPO and SOD. The highest seed and oil yield were observed in Goldasht cultivar under full irrigation and 2mM silicon. Thus, it can be suggested that 1 mM of silicon foliar may ameliorate the performance of safflower exposed to drought stress.

scholarly journals Marker-trait association analysis for drought tolerance in smooth bromegrass

2020 ◽  
Author(s):  
Fatemeh Saeidnia ◽  
Mohammad Mahdi Majidi ◽  
Aghafakhr Mirlohi
Keyword(s):  
Drought Tolerance ◽  
Association Analysis ◽  
Deficit Irrigation ◽  
Agronomic Traits ◽  
Smooth Bromegrass ◽  
Trait Association ◽  
Population Structure Analysis ◽  
Marker Loci ◽  
Drought Tolerance Indices ◽  
Tolerance Indices

Abstract Background: Little information is available on the application of marker-trait association (MTA) analysis for traits related to drought tolerance in smooth bromegrass. The objectives of this study were to identify marker loci associated with important agronomic traits and drought tolerance indices as well as fining stable associations in a diverse panel of polycross derived genotypes of smooth bromegrass. Phenotypic evaluations were performed at two water environments (normal and drought stress) during two years; and association analysis was done with 626 SRAP markers. Results: The results of population structure analysis identified three main subpopulations possessing significant genetic differences. Under normal irrigation, 68 and 57 marker-trait associations were identified using general linear model (GLM) and mixed linear mode1 (MLM), respectively. While under deficit irrigation, 61 and 54 markers were associated with the genes controlling the studied traits, based on these two models, respectively. Some of the markers were associated with more than one trait. It was revealed that markers Me1/Em5-11, Me1/Em3-15, and Me5/Em4-7 were consistently linked with drought-tolerance indices. Conclusion: Following marker validation, the MTAs reported in this panel could be useful tools to initiate marker-assisted selection (MAS) and targeted trait introgression of smooth bromegrass under normal and deficit irrigation regimes, and possibly fine mapping and cloning of the underlying genes and QTLs.

scholarly journals Marker-trait association analysis for drought tolerance in smooth bromegrass

2020 ◽  
Author(s):  
Fatemeh Saeidnia ◽  
Mohammad Mahdi Majidi ◽  
Aghafakhr Mirlohi
Keyword(s):  
Drought Tolerance ◽  
Association Analysis ◽  
Deficit Irrigation ◽  
Agronomic Traits ◽  
Smooth Bromegrass ◽  
Trait Association ◽  
Population Structure Analysis ◽  
Marker Loci ◽  
Drought Tolerance Indices ◽  
Tolerance Indices

Abstract Background Little information is available on the application of marker-trait association (MTA) analysis for traits related to drought tolerance in smooth bromegrass. The objectives of this study were to identify marker loci associated with important agronomic traits and drought tolerance indices as well as fining stable associations in a diverse panel of polycross derived genotypes of smooth bromegrass. Phenotypic evaluations were performed at two water environments (normal and drought stress) during two years and association analysis was done with 626 SRAP markers. Results The results of population structure analysis identified three main subpopulations possessing significant genetic differences. Under normal irrigation, 68 and 57 marker-trait associations were identified using general linear model (GLM) and mixed linear mode1 (MLM), respectively. While under deficit irrigation, 61 and 54 markers were associated with the genes controlling the studied traits, based on these two models, respectively. Some of the markers were associated with more than one trait. It was revealed that markers Me1/Em5-11, Me1/Em3-15, and Me5/Em4-7 were consistently linked with drought-tolerance indices. Conclusion Following marker validation, the MTAs reported in this panel could be useful tools to initiate marker-assisted selection (MAS) and targeted trait introgression of smooth bromegrass under normal and deficit irrigation regimes, and possibly fine mapping and cloning of the underlying genes and QTLs.

scholarly journals Marker-trait association analysis for drought tolerance in smooth bromegrass

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
F. Saeidnia ◽  
M. M. Majidi ◽  
A. Mirlohi
Keyword(s):  
Drought Tolerance ◽  
Association Analysis ◽  
Deficit Irrigation ◽  
Agronomic Traits ◽  
Smooth Bromegrass ◽  
Trait Association ◽  
Irrigation Regimes ◽  
Population Structure Analysis ◽  
Drought Tolerance Indices ◽  
Tolerance Indices

Abstract Background Little information is available on the application of marker-trait association (MTA) analysis for traits related to drought tolerance in smooth bromegrass. The objectives of this study were to identify marker loci associated with important agronomic traits and drought tolerance indices as well as fining stable associations in a diverse panel of polycross derived genotypes of smooth bromegrass. Phenotypic evaluations were performed at two irrigation regimes (normal and deficit irrigation) during 2 years; and association analysis was done with 626 SRAP markers. Results The results of population structure analysis identified three main subpopulations possessing significant genetic differences. Under normal irrigation, 68 and 57 marker-trait associations were identified using general linear model (GLM) and mixed linear mode1 (MLM), respectively. While under deficit irrigation, 61 and 54 markers were associated with the genes controlling the studied traits, based on these two models, respectively. Some of the markers were associated with more than one trait. It was revealed that markers Me1/Em5–11, Me1/Em3–15, and Me5/Em4–7 were consistently linked with drought-tolerance indices. Conclusion Following marker validation, the MTAs reported in this panel could be useful tools to initiate marker-assisted selection (MAS) and targeted trait introgression of smooth bromegrass under normal and deficit irrigation regimes, and possibly fine mapping and cloning of the underlying genes and QTLs.

scholarly journals Changes in N, K, and Fatty Acid Composition of Black Cumin Seeds Affected by Nitrogen Doses under Supplemental Potassium Application

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Zehra Aytac ◽  
Nurdilek Gulmezoglu ◽  
Tugce Saglam ◽  
Engin Gokhan Kulan ◽  
Ugur Selengil ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Acid Composition ◽  
Seed Yield ◽  
Oil Content ◽  
Saturated Fatty Acids ◽  
Oil Yield ◽  
Black Cumin ◽  
Potassium Application

This study was carried out to determine the efficiency of nitrogen (N) doses (0, 30, 60, and 90 kg N ha−1) under supplemental potassium (K) application (50 kg K2O ha−1) on black cumin in 2011 and 2012. The results showed that increased N levels resulted in increasing seed yield and N and K contents in seed, while oil content decreased. The seed yield and oil yield were peaked at the doses of 60 kg N ha−1and 50 kg K ha−1. An increase in N doses caused a reduction in oil content regardless of K supply. Saturated fatty acids and oleic acid were slightly increased by K application, while minor changes in linoleic acid were detected. It was concluded that 60 kg N ha−1with supplemental K application should be advised for enhancement in seed yield, oil yield, and N and K contents in seeds of black cumin without significant changes in fatty acid composition.

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