IPPC. AR5 Synthesis Report: Climate Change 2014. 2014; Available: https://www.ipcc.ch/
 FAO. Food and Agriculture Organisation FAOSTAT database. 2012; Available: http://faostat.fao.org/
 Prasad PVV, Djanaguiraman M. Response of floret fertility and individual grain weight of wheat to high temperature stress: sensitive stages and thresholds for temperature and duration. Funct Plant Biol. 2014; 41: 1261-1269.
 Asseng S, Ewert F, Martre P, Rötter RP, Lobell DB, Cammarano D, Kimball BA, Ottman MJ, Wall GW, White JW, et al. Rising temperatures reduce global wheat production. Nat Clim Change. 2015; 5: 143-147.
 Jin SB. Wheat Cultivar and Pedigree in China. Agriculture Press. 1983; Beijing (In Chinese)
 Tao F, Zhang Z, Zhang S, Rötter RP. Heat stress impacts on wheat growth and yield were reduced in the Huang-Huai-Hai Plain of China in the past three decades. Eur J Agron. 2015; 71: 44-52.
 Wardlaw IF, Sofield I, Cartwright PM. Factors limiting the rate of dry matter accumulation in the grain of wheat grown at high temperature. Funct Plant Biol. 1980; 7: 387-400.
 Tack J, Barkley A, Nalley LL. Effect of warming temperatures on US wheat yields. Proc Natl Acad Sci USA. 2015; 112: 6931-6936.
 Lesk C, Rowhani P, Ramankutty N. Influence of extreme weather disasters on global crop production. Nature. 2016; 529: 84-87.
 Sofield I, Evans LT, Cook MG, Wardlaw IF. Factors influencing the rate and duration of grain filling in wheat. Aust J Plant Physiol. 1977; 4: 785-797.
 Hurkman WJ, Mccue KF, Altenbach SB, Korn A, Tanaka CK, Kothari KM, Johnson EL, Bechtel DB, Wilson JD, Anderson OD, et al. Effect of temperature on expression of genes encoding enzymes for starch biosynthesis in developing wheat endosperm. Plant Sci. 2003; 164: 1-9.
 Pinto RS, Reynolds MP, Matthews KL, Mclntyre CL, Olivares JJ, Chapman SC. Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects. Theor Applied Genet. 2010; 121: 1001-1021.
 Bennett D, Reynolds M, Mullan D, Izanloo A, Kuchel H, Langridge P, Schurbusch T. Detection of two major grain yield QTL in bread wheat (Triticum aestivum L.) under heat, drought and high yield potential environments. Theor Applied Genet. 2012; 125: 1473-1485.
 Yang J, Sears RG, Gill BS, Paulsen GM. Quantitative and molecular characterization of heat tolerance in hexaploid wheat. Euphytica. 2002; 26: 275-282.
 Vijayalakshmi K, Fritz AK, Paulsen GM, Bai GH, Pandravada S, Gill BS. Modeling and mapping QTL for senescence-related traits in winter wheat under high temperature. Mol Breeding. 2010; 26: 163-175.
 Talukader SK, Babar MA, Vijayalakshmi K, Poland J, Prasad PVV, Bowden R, Fritz A. Mapping QTL for the traits associated with heat tolerance in wheat (Triticum aestivum L.). BMC Genet. 2014; 15: 97.
 Sukumaran S, Reynolds MP, Sansaloni C. Genome-wide association analyses identify QTL hotspots for yield and component traits in durum wheat grown under yield potential, drought, and heat stress environments. Front Plant Sci. 2018; 9: 81.
 Mason RE, Mondal S, Beecher FW, Hays DB. Genetic loci linking improved heat tolerance in wheat (Triticum aestivum L.) to lower leaf and spike temperatures under controlled conditions. Euphytica. 2011; 180: 181-194.
 Paliwal R, Roder MS, Kumar U, Srivastava JP, Joshi AK. QTL mapping of terminal heat tolerance in hexaploid wheat (T. aestivum L.). Theor Applied Genet. 2012; 125: 561-575.
 Qaseem MF, Qureshi R, Muqaddasi QH, Shaheen H, Kousar R, Röder MS. Genome-wide association mapping in bread wheat subjected to independent and combined high temperature and drought stress. PLoS One. 2018; 13: e0199121.
 Acuña-Galindo MA, Mason RE, Subramanian NK, Hays DB. Meta-analysis of wheat QTL regions associated with adaptation to drought and heat stress. Crop Sci. 2015; 55: 477-492.
 Ogbonnaya FC, Rasheed A, Okechukwu EC, Jighly A, Makdis F, Wuletaw T, Hagras A, Uguru MI, Agbo CU. Genome-wide association study for agronomic and physiological traits in spring wheat evaluated in a range of heat prone environments. Theor Applied Genet. 2017; 130: 1819-1835.
 Huang X, Kurata N, Wei X, Wang ZX, Wang A, Zhao Q, Zhao Y, Liu K, Lu H, Li W, et al. A map of rice genome variation reveals the origin of cultivated rice. Nature. 2012; 490: 497-501.
 Frary A, Nesbitt TC, Grandillo S, Knaap E, Cong B, Liu J, Meller J, Elber R, Alpert KB, Tanksley SD. fw2.2: a quantitative trait locus key to the evolution of tomato fruit size. Science. 2000; 289: 85-88.
 Wang H, Nussbaum-Wagler T, Li B, Zhao Q, Vigouroux Y, Faller M, Bomblies K, Lukens L, Doebley JF. The origin of the naked grains of maize. Nature. 2005; 436: 714-719.
 Li C, Zhou A, Sang T. Rice domestication by reducing shattering. Science. 2006; 311: 1936-1939.
 Palaisa K, Morgante M, Tingey S, Rafalski A. Long-range patterns of diversity and linkage disequilibrium surrounding the maize Y1 gene are indicative of an asymmetric selective sweep. Proc Natl Acad Sci. USA. 2004; 101: 9885-9890.
 Lukens LN, Doebley J. Molecular evolution of the teosinte branched gene among maize and related grasses. Mol Biol Evol. 2001; 18: 627-638.
 Andolfatto P. Adaptive hitchhiking effects on genome variability. Curr Opin Genet Dev. 2001; 11: 635-641.
 Jin J, Huang W, Gao J, Yang J, Shi M, Zhu M, Luo D, Lin H. Genetic control of rice plant architecture under domestication. Nat Genet. 2008; 40: 1365-1369.
 Wang E, Wang J, Zhu X, Hao W, Wang L, Li Q, Zhang L, He W, Lu B, Lin H, et al. Control of rice grain-filling and yield by a gene with a potential signature of domestication. Nat Genet. 2008; 40: 1370-1374.
 Lin Z, Li X, Shannon LM, Yeh CT, Wang ML, Bai G, Peng Z, Li J, Trick HN, Clemente TE, et al. Parallel domestication of the Shattering1 genes in cereals. Nat Genet. 2012; 44: 720-724.
 Dholakia BB, Ammiraju JSS, Singh H, Lagu MD, Roder MS, Rao VS, Dhaliwal HS, Ranjekar PK, Gupta VS, Weber WE. Molecular marker analysis of kernel size and shape in bread wheat. Plant Breed. 2003; 122: 392-395.
 Gegas VC, Nazari A, Griffiths S, Simmonds J, Fish L, Orford S, Sayers L, Doonan JH, Snape JW. A genetic framework for grain size and shape variation in wheat. Plant Cell. 2010; 22: 1046-1056.
 Spiertz JHJ, Hamer RJ, Xu H, Primo-Martin C, Don C, van der Putten PEL. Heat stress in wheat (Triticum aestivum L.): Effects on grain growth and quality traits. Eur J Agron. 2006; 25: 89-95.
 Mastilović J, Živančev D, Lončar E, Malbaša R, Hristov N, Kevrešan Ž. Effects of high temperatures and drought during anthesis and grain filling period on wheat processing quality and underlying gluten structural changes. J Sci Food Agric. 2018; 98: 2898-2907.
 Awolu OO, Sudha LM, Manohar B. Influence of defatted mango kernel seed flour addition on the rheological characteristics and cookie making quality of wheat flour. Food Sci Nutr. 2018; 6: 2363-2373.
 Khanna-Chopra R, Viswanathan C. Evaluation of heat stress tolerance in irrigated environment of T. aestivum and related species. I. Stability in yield and yield components. Euphytica. 1999; 106: 169- 180.
 Rahaman M, Mamidi S, Rahman M. Genome-wide association study of heat stress-tolerance traits in spring-type Brassica napus L. under controlled conditions. Crop J. 2018; 6: 115-125.
 Fischer RA, Maurer R. Drought resistance in spring wheat cultivars. I. Grain yield response. Aust J Agric Res. 1978; 29: 897-907.
 Nouri A, Etminan A, Teixeira da Silva JA, Mohammadi R. Assessment of yield, yield-related traits and drought tolerance of durum wheat genotypes (Triticum turgidum var. durum Desf.). Aust J Crop Sci. 2011; 5: 8-16.
 Turuspekov Y, Baibulatova A, Yermekbayev K, Tokhetova L, Chudinov V, Sereda G, Ganal M, Griffiths S, Abugalieva S. GWAS for plant growth stages and yield components in spring wheat (Triticum aestivum L.) harvested in three regions of Kazakhstan. BMC Plant Biol. 2017; 17: 190.
 Valluru R, Reynolds MP, Davies WJ, Sukumaran S. Phenotypic and genome-wide association analysis of spike ethylene in diverse wheat genotypes under heat stress. New Phytol. 2017; 214: 271-283.
 Fan C, Xing Y, Mao H, Lu T, Han B, Xu C, Li X, Zhang Q. GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theor Applied Genet. 2006; 112 : 1164-1171.
 Song X, Huang W, Shi M, Zhu M, Lin H. A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase. Nat Genet. 2007; 39: 623-630.
 Weng J, Gu S, Wan X, Gao H, Guo T, Su N, Lei C, Zhang X, Cheng Z, Guo X, et al. Isolation and initial characterization of GW5, a major QTL associated with rice grain width and weight. Cell Res. 2008; 18: 1199-1209.
 Huang X, Qian Q, Liu Z, Sun H, He S, Luo D, Xia G, Chu C, Li J, Fu X. Natural variation at the DEP1 locus enhances grain yield in rice. Nat Genet. 2009; 41: 494-497.
 Li Y, Fan C, Xing Y, Jiang Y, Luo L, Sun L, Shao D, Xu C, Li X, Xiao J, et al. Natural variation in GS5 plays an important role in regulating grain size and yield in rice. Nat Genet. 2011; 43: 1266-1269.
 Xue W, Xing Y, Weng X, Zhao Y, Tang W, Wang L, Zhou H, Yu S, Xu C, Li X, et al. Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice. Nat Genet. 2008; 40: 761-767.
 Jiao Y, Wang Y, Xue D, Wang J, Yan M, Liu G, Dong G, Zeng D, Lu Z, Zhu X, et al. Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice. Nat Genet. 2010; 42: 541-544.
 Hansdah R, Prabhakar PK, Srivastav PP, Mishra HN. Physico-chemical characterization of lesser known palo (Curcuma leucorrhiza) starch. Int Food Res J. 2015; 22: 1368-1373.
 Mason RE, Mondal S, Beecher FW, Pacheco A, Jampala B, Ibrahim AM, Hays DB. QTL associated with heat susceptibility index in wheat (Triticum aestivum L.) under short-term reproductive stage heat stress. Euphytica. 2010; 174: 423-436.
 Sharp PJ, Chao S, Desai S, Gale MD. The isolation, characterization and application in the Triticeae of a set of wheat RFLP probes identifying each homoeologous chromosome arm. Theor Applied Genet. 1989; 78: 342-348.
 VSN International. Genstat for Windows 16th Edition. VSN International, Hemel Hempstead, UK. 2015; Available: https://www.vsni.co.uk/
 Nyquist WE. Estimation of heritability and prediction of selection response in plant populations. CRC Crit Rev Plant Sci. 1991; 10: 235-322.
 Cavanagh CR, Chao S, Wang S, Huang BE, Stephen S, Kiani S, Forrest K, Saintenac C, Brown-Guedira GL, Akhunova A, et al. Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars. Proc Natl Acad Sci USA. 2013; 110: 8057-8062.
 Wang SC, Wong D, Forrest K, Allen A, Chao S, Huang BE, Maccaferri M, Salvi S, Milner SG, Cattivelli L, et al. Characterization of polyploid wheat genomic diversity using a high-density 90000 single nucleotide polymorphism array. Plant Biotechnol J. 2014; 12: 787-796.
 Pritchard JK, Stephens M, Rosenberg NA, Donnelly P. Association mapping in structured populations. Am J Hum Genet. 2000; 67: 170-181.
 Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol. 2005; 14: 2611-2620.
 Yu JM, Pressoir G, Briggs WH, Bi IV, Yamasaki M, Doebley JF, McMullen MD, Gaut BS, Nielsen DM, Holland JB, et al. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet. 2005; 38: 203-208.
 Zhang ZW, Ersoz E, Lai CQ, Todhunter RJ, Tiwari HK, Gore MA, Bradbury PJ, Yu JM, Arnett DK, Ordovas JM, et al. Mixed linear model approach adapted for genome-wide association studies. Nat Genet. 2010; 42: 355-360.
 Kumar S, Stecher G, Tamura K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for bigger datasets. Mol Biol Evol. 2016; 33: 1870.
 Bradbury PJ, Zhang ZW, Kroon DE, Casstevens TM, Ramdoss Y, Buckler ES. TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics. 2007; 23: 2633-2635.
 Devlin B, Roeder K, Wasserman L. Genomic control, a new approach to genetic-based association studies. Theor Popul Biol. 2001; 60: 155-166.
 Wang M, Tu L, Lin M, Lin Z, Wang P, Yang Q, Ye Z, Shen C, Li J, Zhang L, et al. Asymmetric subgenome selection and cis-regulatory divergence during cotton domestication. Nat Genet. 2017; 49: 579-587.
 Cruickshank TE, Hahn MW. Reanalysis suggests that genomic islands of speciation are due to reduced diversity, not reduced gene flow. Mol Ecol. 2014; 23: 3133-3157.
 Bhatia G, Patterson N, Sankararaman S, Price AL. Estimating and interpreting FST: the impact of rare variants. Genome Res. 2013; 23: 1514-1521.
 McGirr JA, Martin CH. Novel Candidate Genes Underlying Extreme Trophic Specialization in Caribbean Pupfishes. Mol Biol Evol. 2017; 34: 873-888.