Developing stress intensity index and prioritizing hotspot locations for screening wheat genotypes under climate change scenario

Mamrutha, H. M.; Khobra, Rinki; Sendhil, R; Munjal, Renu; Prasad, S. V. Sai; Biradar, Suma; Mavi, G. S.; Dhar, T.N.; Bahadur, Raj; Bhagwan, J.H.; Prakash, Suraj; Singh, Housila P.; Shukla, Roopam; Srivastava, Meera; Singh, Chandrakant; Gosavi, A.B.; Salunke, V.D.; Dhyani, V. C.; Singh, Gyanendra

doi:10.1016/j.ecolind.2020.106714

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…After deriving the weights for all the variables, the composite WQI for each genotype has been calculated using Equation (5) where X i is the normalized value of i th wheat quality indicator variable and W i is the weight of the i th variable. This technique had been earlier used by Mamrutha et al, (2020) to develop stress screening index for prioritizing hotspot locations for wheat under Indian environments and Rana et al, (2015) to derive salt tolerance index. Based upon WQI, the genotypes were classified into three categories i.e .…”

Section: Methodsmentioning

confidence: 99%

An innovative approach for determining composite wheat quality index to identify quality enriched genotypes - insights and implications

Mohan

Sendhil

Gupta

et al. 2021

Preprint

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Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and end-products. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. Depending upon the observed index range (0.15 to 0.71), the cultivars were assorted into 3 distinct classes i.e. elite, moderate and poor. The top group ascertained high quality standards of grain suited for bread and chapati whereas bottom group assured better cookies quality. This technique was also tested to differentiate quality enriched test sites within a zone or demarcate the most suited production environments to harness good quality wheat. The index will have an implication on farmers (premium price for varietal segregation), industry (product specific quality cultivars), and consumers (superior quality products).

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Section: Methodsmentioning

confidence: 99%

An innovative approach for determining composite wheat quality index to identify quality enriched genotypes - insights and implications

Mohan

Sendhil

Gupta

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Among the abiotic stresses imposed by climate change, heat and drought stresses are considered to cause the most damage to wheat growth and development (Mamrutha et al, 2020). Drought during stem elongation and heat stress during the grain-filling stage have been identified as particularly important environmental factors affecting the yield and quality of wheat (Guzmań et al, 2016;Le Gouis et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Impacts of heat, drought, and combined heat–drought stress on yield, phenotypic traits, and gluten protein traits: capturing stability of spring wheat in excessive environments

et al. 2023

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Wheat production and end-use quality are severely threatened by drought and heat stresses. This study evaluated stress impacts on phenotypic and gluten protein characteristics of eight spring wheat genotypes (Diskett, Happy, Bumble, SW1, SW2, SW3, SW4, and SW5) grown to maturity under controlled conditions (Biotron) using RGB imaging and size-exclusion high-performance liquid chromatography (SE-HPLC). Among the stress treatments compared, combined heat–drought stress had the most severe negative impacts on biomass (real and digital), grain yield, and thousand kernel weight. Conversely, it had a positive effect on most gluten parameters evaluated by SE-HPLC and resulted in a positive correlation between spike traits and gluten strength, expressed as unextractable gluten polymer (%UPP) and large monomeric protein (%LUMP). The best performing genotypes in terms of stability were Happy, Diskett, SW1, and SW2, which should be further explored as attractive breeding material for developing climate-resistant genotypes with improved bread-making quality. RGB imaging in combination with gluten protein screening by SE-HPLC could thus be a valuable approach for identifying climate stress–tolerant wheat genotypes.

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“…Hence, it is not easy to predict the impact of climate dynamics in a précised way as genotypeenvironment -climate interaction plays a very critical role on crop productivity. Mamrutha et al (2020) developed the stress intensity indices for heat and drought using 11 years period but little is known on the realtime effect of climate change that is captured by long-term trend usually 30-year period as well as projections under diverse greenhouse gas emission scenarios. To equip with the climate dynamics and to improve tolerance in wheat, prediction of intensity in heat stress across existing trial locations is of utmost importance.…”

Section: Introductionmentioning

confidence: 99%

Identification of climate change induced heat stress sensitive environments and prediction for diverse representative concentration pathways – A novel approach for tracking hotspots

Sendhil

Ghimire

Rinki

et al. 2021

Preprint

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Climate change is unequivocal across economies and India owing to its distinct geography has been exposed to several climatic risks, especially in agriculture. Heat stress is a serious environmental problem posed by climate change, wherein mean temperature is expected to increase relatively more during wheat growing season affecting production and food security. In the milieu , the investigation is pioneered to predict heat stress sensitive wheat growing environments in India for research prioritization using a long term (30 years) historical daily data. The study has developed a methodological approach by integrating statistical downscaling of climate information and principal component analysis for computing heat stress intensity index (HSII) for 17 experiment locations across wheat growing environments. HSII were estimated for existing locations post testing for Levene’s homogeneity of variance, followed by prediction for three periods’ viz., early-future (2026-2050), mid-future (2051-2075) and far-future (2076-2100) under two emission scenarios namely RCP4.5 and RCP8.5. The results alarmed a radical shift in HSII of experiment locations from one period to another in both scenarios. Experiment locations with high index values for the existing environment has moved almost to lower category in the early future and subsequently shifted to higher position in the mid-future and far-future. The investigation also found that under projected RCP4.5, trial locations in peninsular zone need more emphasis, whereas in RCP8.5, peninsular zone coupled with central zone and north eastern plains zone have to be focused. Overall, the study develops a pragmatic approach in location prioritization across predicted periods which can be replicated to other regions. On policy front, rational allocation of research funds has been suggested to carry out field trials on climate change induced heat stress sensitive environments for sustaining the national wheat production apart from developing micro-level adaptation strategies to counter adverse effects of climate change.

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Developing stress intensity index and prioritizing hotspot locations for screening wheat genotypes under climate change scenario

Cited by 9 publications

References 25 publications

An innovative approach for determining composite wheat quality index to identify quality enriched genotypes - insights and implications

An innovative approach for determining composite wheat quality index to identify quality enriched genotypes - insights and implications

Impacts of heat, drought, and combined heat–drought stress on yield, phenotypic traits, and gluten protein traits: capturing stability of spring wheat in excessive environments

Identification of climate change induced heat stress sensitive environments and prediction for diverse representative concentration pathways – A novel approach for tracking hotspots

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