Index method for selection of drought tolerant wheat varieties in unstable climate conditions

Drought response in wheat is considered a highly complex process, since it is a multigenic trait; nevertheless, breeding programs are continuously searching for new wheat varieties with characteristics for drought tolerance. In a previous study, we demonstrated the effectiveness of a mutant known as RYNO3936 that could survive 14 days without water. In this study, we reveal another mutant known as BIG8-1 that can endure severe water deficit stress (21 days without water) with superior drought response characteristics. Phenotypically, the mutant plants had broader leaves, including a densely packed fibrous root architecture that was not visible in the WT parent plants. During mild (day 7) drought stress, the mutant could maintain its relative water content, chlorophyll content, maximum quantum yield of PSII (Fv/Fm) and stomatal conductance, with no phenotypic symptoms such as wilting or senescence despite a decrease in soil moisture content. It was only during moderate (day 14) and severe (day 21) water deficit stress that a decline in those variables was evident. Furthermore, the mutant plants also displayed a unique preservation of metabolic activity, which was confirmed by assessing the accumulation of free amino acids and increase of antioxidative enzymes (peroxidases and glutathione S-transferase). Proteome reshuffling was also observed, allowing slow degradation of essential proteins such as RuBisCO during water deficit stress. The LC-MS/MS data revealed a high abundance of proteins involved in energy and photosynthesis under well-watered conditions, particularly Serpin-Z2A and Z2B, SGT1 and Calnexin-like protein. However, after 21 days of water stress, the mutants expressed ABC transporter permeases and xylanase inhibitor protein, which are involved in the transport of amino acids and protecting cells, respectively. This study characterizes a new mutant BIG8-1 with drought-tolerant characteristics suited for breeding programs.

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Genetic variation in an orchardgrass population promises successful direct or indirect selection of superior drought tolerant genotypes

Plant Breeding ◽

10.1111/pbr.12657 ◽

2018 ◽

Vol 137 (6) ◽

pp. 928-935 ◽

Cited By ~ 2

Author(s):

Mozhgan Abtahi ◽

Mohammad Mahdi Majidi ◽

Behnam Hoseini ◽

Aghafakhr Mirlohi ◽

Bahram Araghi ◽

...

Keyword(s):

Genetic Variation ◽

Indirect Selection ◽

Drought Tolerant ◽

Selection Of

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Selection of Oily Sunflower (Helianthus annuus L.) Drought Tolerant Lines using Tolerance Indices

Journal of Crop Breeding ◽

10.29252/jcb.10.28.133 ◽

2018 ◽

Vol 10 (28) ◽

pp. 133-144

Author(s):

Reza Darvishzadeh ◽

Ali Soleimani Gezeljeh ◽

Hadi Ali Pour ◽

Asa Ebrahimi ◽

Mohammad Reza Bihamta ◽

...

Keyword(s):

Helianthus Annuus ◽

Helianthus Annuus L ◽

Drought Tolerant ◽

Tolerance Indices ◽

Selection Of

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Selection of Drought Tolerant Maize Hybrids Using Path Coefficient Analysis and Selection Index

Pakistan Journal of Biological Sciences ◽

10.3923/pjbs.2017.132.139 ◽

2017 ◽

Vol 20 (3) ◽

pp. 132-139 ◽

Cited By ~ 2

Author(s):

Abdalla Dao ◽

Jacob Sanou ◽

Edgar V.S. Traor ◽

Vernon Gracen ◽

Eric Y. Danquah

Keyword(s):

Selection Index ◽

Path Coefficient ◽

Path Coefficient Analysis ◽

Maize Hybrids ◽

Drought Tolerant ◽

Selection Of

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Elements of productivity, selection of pairs for crossing, ecological plasticity of spring wheat varieties in the Vologda region

Molochnokhozayistvenny Vestnik ◽

10.52231/2225-4269_2021_4_115 ◽

2021 ◽

pp. 115-127

Author(s):

Olga Vasilievna Chukhina ◽

Anna Ivanovna Demidova ◽

Nikolay Sergeevich Demidov ◽

Tatiana Aleksandrovna Prozorova

Keyword(s):

Spring Wheat ◽

Wheat Varieties ◽

Ecological Plasticity ◽

Vologda Region ◽

Selection Of

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Selection of Dry Pea (Pisum Sativum) Varieties and their Performance by Comparison with Barley and Wheat in Mediterranean Environments

Experimental Agriculture ◽

10.1017/s0014479700024741 ◽

1994 ◽

Vol 30 (4) ◽

pp. 477-481

Author(s):

A. Hadjicristodoulou

Keyword(s):

Pisum Sativum ◽

Durum Wheat ◽

Protein Content ◽

Arid Areas ◽

Wheat Varieties ◽

Mediterranean Countries ◽

Supplementary Irrigation ◽

Rainfed Conditions ◽

Semi Arid ◽

Selection Of

SUMMARYThe possibility of growing dry peas in the semi-arid areas of Mediterranean countries was assessed by comparing dry pea (Pisum sativum L.) varieties with the highest yielding barley and durum wheat varieties under rainfed conditions and with supplementary irrigation in Cyprus. The yield of barley cv. Kantara was greater than that of the best pea variety selected, PS 210713, especially under the driest conditions, but the differences between cereals and dry pea varieties were smaller when grown in areas where there was more rain or where supplementary irrigation was supplied. The protein content of the dry seeds and straw of the peas was higher than those of the cereals. It is concluded that selected varieties of dry peas could be grown in dry Mediterranean areas, particularly in rotation with barley or wheat.Pisum sativum L. para zonas mediterráneas

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Climate change impact – residential unit

MATEC Web of Conferences ◽

10.1051/matecconf/201927903007 ◽

2019 ◽

Vol 279 ◽

pp. 03007

Author(s):

Ján Hollý ◽

Adela Palková

Keyword(s):

Climate Change ◽

Global Warming ◽

Weather Data ◽

Emission Scenarios ◽

Climate Data ◽

Climate Conditions ◽

Residential Unit ◽

Data Application ◽

Change Impact ◽

Selection Of

The issue of climate change is undeniably demonstrating its presence. Consequently, there is a rising need to be prepared for upcoming threats by any means possible. One of the precautions includes obtaining the information characterizing the expected impact of global warming. This will allow authorities and other stakeholders to act accordingly in time. The article presents the assessment of the extent of impact of energy-related construction solutions in dwelling type unit situated in Central Europe region under the 21st century climate conditions. The findings represent eventual demands of energy for cooling and heating and its prospective savings. This is conducted by consecutively and automatically changing the parameters in individual simulation runs. As a basis for simulations, regionally scaled weather data of three different climate areas are used. These data are based on the emission scenarios by IPCC and are reaching to the year 2100. The selection of assessed parameters and climate data application are briefly explained in the article. The results of simulations are evaluated and recommended solutions are stated in regard to the specific energy-related construction changes. The aim is to successfully mitigate and adapt to the climate change phenomenon.

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Canopy Temperature and Chlorophyll Content are Effective Measures of Drought Stress Tolerance in Durum Wheat

Notulae Scientia Biologicae ◽

10.15835/nsb10410288 ◽

2018 ◽

Vol 10 (4) ◽

pp. 575-583 ◽

Cited By ~ 1

Author(s):

Fereshteh JOKAR ◽

Rahmatollah KARIMIZADEH ◽

Asad MASOUMIASL ◽

Reza AMIRI FAHLIANI

Keyword(s):

Drought Tolerance ◽

Durum Wheat ◽

Stress Tolerance ◽

Chlorophyll Content ◽

Geometric Mean ◽

Canopy Temperature ◽

Stress Conditions ◽

Tolerance Index ◽

Wheat Varieties ◽

Drought Tolerant

Durum wheat (Triticum durum L.) is used for the preparation of multiple food products, including pasta and bread. Its production is restricted due to diverse environmental stresses i.e. drought and heat stress. Here, comparative analysis of durum wheat varieties was done by studying canopy temperature depression (CTD) and chlorophyll content (CHL), yield and yield contributing traits to evaluate their performance under stress and low stress conditions. Twelve durum wheat genotypes were studied under stressful and low-stress conditions in Gachsaran region of Iran. CTD and CHL were measured at two stages, from the emergence of fifty percent of inflorescence (ZGS 54) to watery ripe stage (ZGS 71). According to stress tolerance index (STI), mean productivity (MP) and geometric mean productivity (GMP) indices, genotype G10 exhibited the most, while genotype G6, the least relative tolerance, respectively. Based on MP and GMP, genotype G10 was found to be drought tolerant, while genotype G2 displayed the lowest amount of MP and GMP. Therefore these genotypes are recommended to be used as genitors in artificial hybridization for improvement of drought tolerance in other cultivars. All indices had high correlation with grain yield under stress and non-stress condition, indicating more suitability of these indices for selection of resistant genotype. Results of the present study showed that among drought tolerance indices, harmonic mean (HM), GMP, CTD and modified STI index (K2STI) can be used as the most suitable indicators for screening drought tolerant cultivars.

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Genetic Algorithm Applied to Multi-Criteria Selection of Thermal Insulation on Industrial Shed Roof

Buildings ◽

10.3390/buildings9120238 ◽

2019 ◽

Vol 9 (12) ◽

pp. 238 ◽

Cited By ~ 1

Author(s):

Stamoulis ◽

Santos ◽

Lenz ◽

Tusset

Keyword(s):

Genetic Algorithm ◽

Thermal Comfort ◽

Thermal Insulation ◽

Optimization Technique ◽

Building Envelope ◽

Expanded Polystyrene ◽

Insulation Material ◽

Clothing Insulation ◽

Climate Conditions ◽

Selection Of

The rational use of energy has motivated research on improving the energy efficiency of buildings, which are responsible for a large share of world consumption. A strategy to achieve this goal is the application of optimized thermal insulation on a building envelope to avoid thermal exchanges with the external environment, reducing the use of heating, ventilation and air-conditioning (HVAC) systems. In order to contribute to the best choice of insulation applied to an industrial shed roof, this study aims to provide an optimization tool to assist this process. Beyond the thermal comfort and cost of the insulation, some hygrothermic properties also have been analysed to obtain the best insulation option. To implement this optimization technique, several thermo-energetic simulations of an industrial shed were performed using the Domus software, applying 4 types of insulation material (polyurethane, expanded polystyrene, rockwool and glass wool) on the roof. Ten thicknesses ranging from 0.5 cm to 5 cm were considered, with the purpose of obtaining different thermal comfort indexes (PPD, predicted percentage dissatisfied). Posteriorly, the best insulation ranking has been obtained from the weights assigned to the parameters in the objective function, using the technique of the genetic algorithm (GA) applied to multi-criteria selection. The optimization results showed that polyurethane (PU) insulation, applied with a thickness of 1 cm was the best option for the roof, considering the building functional parameters, occupant metabolic activity, clothing insulation and climate conditions. On the other hand, when the Brazilian standard was utilized, rock wool (2 cm) was considered the best choice.

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