Genotype × environment interaction and AMMI analysis for heat tolerance in wheat

Sareen, Sindhu; Munjal, Renu; Singh, N. B.; Singh, Bipin Kumar; Verma, Ramesh Pal Singh; Meena, B. K.; Shorán, Jag; Sarial, A. K.; Singh, Surendra

doi:10.1556/crc.40.2012.2.11

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…Major interactions can be expected where there is wide variation between environments or genotypes for incidence of biotic or abiotic stresses (Annicchiarico, 2002). In view of the importance of G × E interaction, it was studied widely in wheat under Indian conditions (Ranjana and Kumar, 2013; Sareen et al , 2012 and 2014). When G × E interaction occurs, factors present in the environment (temperature, rainfall etc.…”

Section: Discussionmentioning

confidence: 99%

EFFECT OF TEMPERATURE AND PHOTOTHERMAL QUOTIENT ON THE YIELD COMPONENTS OF WHEAT (Triticum aestivum L.) IN INDO-GANGETIC PLAINS OF INDIA

et al. 2015

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To quantify the effect of thermal stress and photothermal quotient (PTQ) on yield components, eleven years experimental data of three cultivars (HD-2285, K-8804 and K-9107) under three sowing dates at Kanpur centre were analysed. Number of grains per ear (NG), grain weight per ear (GW) and 1000-grain weight (TG) were identified as prime yield contributing components in HD-2285, K-8804 and K-9107, respectively. GW was highly sensitive to maximum temperature (MXT) while NG was sensitive to minimum temperature (MNT) during jointing (JNT) to anthesis (ATS) as well as the total growing season in all the cultivars. In both HD-2285 and K-8804, optimum MXT and MNT during JNT to ATS are 22.7-24.6 and 7.0-7.9°C, respectively for obtaining maximum NG. Optimum MXT for GW ranged from 15.8-17.3°C during tillering (TLR) to JNT stage in K-8804 and K-9107 while it was 20.4°C during JNT to ATS stage in HD-2285. MXT, MNT and PTQ of 23.6°C, 9.2°C and 25 MJ/m 2 /day/°C, respectively during JNT to ATS in K-9107 were found optimum for higher TG.

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Section: Discussionmentioning

confidence: 99%

EFFECT OF TEMPERATURE AND PHOTOTHERMAL QUOTIENT ON THE YIELD COMPONENTS OF WHEAT (Triticum aestivum L.) IN INDO-GANGETIC PLAINS OF INDIA

et al. 2015

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“…Genetic diversity for heat and drought tolerance in wheat is well established (Sareen et al, 2012). The patterns of stress may vary widely in environments constituting different wheat growing regions indicating genotype by environment interaction.…”

Section: Discussionmentioning

confidence: 99%

Trait analysis, diversity, and genotype × environment interaction in some wheat landraces evaluated under drought and heat stress conditions

Sareen

Tyagi

Sarial

et al. 2014

Chilean J. Agric. Res.

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Both drought and heat stress are responsible for decline in wheat (Triticum aestivum L.) production in many regions of the world. Intergovernmental Panel on Climate Change (IPCC) has predicted increase in these areas. Development of heat and drought tolerant genotypes is on priority. Landraces are unexploited genetic resources for various agronomic traits contributing tolerance to abiotic stress. Twenty-five wheat genotypes were evaluated in irrigated timely, rainfed timely and irrigated late sown conditions for 2 yr using 10 agronomic traits for their response to drought and heat stress and four stress indices (stress susceptibility index, stress tolerance index, mean productivity, and stress tolerance) were calculated. Variability averaged over traits was highest under rainfed conditions. Grain yield, plant height, and productive tillers were more sensitive and test grain weight as tolerant under drought. Under heat stress grain yield, grain weight, test grain weight and phenological traits were more sensitive. Productive tillers and grain number per spike were identified as important selection parameters for drought and grain weight (per spike and test grain weight) as for heat tolerance. Genotypes IC 321987, IC 322005, IC 138852, IC 138870 adapted to stressed environments or genotypes CPAN 4079 and NEPAL 38 stable over all environments can be used for introgression of the stress tolerance in elite cultivars.

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“…At the same time, South Asia will face an increase of 1.54°C in maximum and 1.08°C in minimum temperature during rabi (wheat) season by 2020. In India, central and peninsular zone experiences heat stress throughout crop season whereas, northwestern plain zone faces terminal heat stress due to delayed sowing [ 4 – 5 ]. Approximately 13.5 million ha of wheat growing area is affected by heat stress [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Mapping QTLs for grain yield components in wheat under heat stress

et al. 2017

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The current perspective of increasing global temperature makes heat stress as a major threat to wheat production worldwide. In order to identify quantitative trait loci (QTLs) associated with heat tolerance, 251 recombinant inbred lines (RILs) derived from a cross between HD2808 (heat tolerant) and HUW510 (heat susceptible) were evaluated under timely sown (normal) and late sown (heat stress) conditions for two consecutive crop seasons; 2013–14 and 2014–15. Grain yield (GY) and its components namely, grain weight/spike (GWS), grain number/spike (GNS), thousand grain weight (TGW), grain filling rate (GFR) and grain filling duration (GFD) were recorded for both conditions and years. The data collected for both timely and late sown conditions and heat susceptibility index (HSI) of these traits were used as phenotypic data for QTL identification. The frequency distribution of HSI for all the studied traits was continuous during both the years and also included transgressive segregants. Composite interval mapping identified total 24 QTLs viz., 9 (timely sown traits), 6 (late sown traits) and 9 (HSI of traits) mapped on linkage groups 2A, 2B, and 6D during both the crop seasons 2013–14 and 2014–15. The QTLs were detected for GWS (6), GNS (6), GFR (4), TGW (3), GY (3) and GFD (2). The LOD score of identified QTLs varied from 3.03 (Qtgns.iiwbr-6D) to 21.01 (Qhsitgw.iiwbr-2A) during 2014–15, explaining 11.2 and 30.6% phenotypic variance, respectively. Maximum no of QTLs were detected in chromosome 2A followed by 6D and 2B. All the QTL detected under late sown and HSI traits were identified on chromosome 2A except for QTLs associated with GFD. Fifteen out of 17 QTL detected on chromosome 2A were clustered within the marker interval between gwm448 and wmc296 and showed tight linkage with gwm122 and these were localized in 49–52 cM region of Somers consensus map of chromosome 2A i.e. within 18–59.56 cM region of chromosome 2A where no QTL related to heat stress were reported earlier. Besides, three consistent QTLs, Qgws.iiwbr-2A, Qgns.iiwbr-2A and Qgns.iiwbr-2A were also detected in all the environments in this region. The nearest QTL detected in earlier studies, QFv/Fm.cgb-2A was approximately 6cM below the presently identified QTLs region, respectively Additionally, QTLs for physiological and phenological traits and plant height under late sown and HSI of these traits were also detected on chromosome 2A. QTL for HSI of plant height and physiological maturity were located in the same genomic region of chromosome 2Awhereas QTLs for physiological and phonological traits under late sown were located 8cM and 33.5 cM below the genomic location associated with grain traits, respectively in consensus map of Somers. This QTL hot-spot region with consistent QTLs could be used to improve heat tolerance after validation.

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Genotype × environment interaction and AMMI analysis for heat tolerance in wheat

Cited by 9 publications

References 9 publications

EFFECT OF TEMPERATURE AND PHOTOTHERMAL QUOTIENT ON THE YIELD COMPONENTS OF WHEAT (Triticum aestivum L.) IN INDO-GANGETIC PLAINS OF INDIA

EFFECT OF TEMPERATURE AND PHOTOTHERMAL QUOTIENT ON THE YIELD COMPONENTS OF WHEAT (Triticum aestivum L.) IN INDO-GANGETIC PLAINS OF INDIA

Trait analysis, diversity, and genotype × environment interaction in some wheat landraces evaluated under drought and heat stress conditions

Mapping QTLs for grain yield components in wheat under heat stress

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