Borlaug NE. Sixty-two years of fighting hunger: personal recollections. Euphytica. 2007;157(3):287–97.
Article
Google Scholar
Chand R. Challenges to ensuring food security through wheat. CAB reviews: Perspectives in agriculture, veterinary science, nutrition and natural resources. 2009;4(065):1–13.
Google Scholar
FAO. Food Outlook - Biannual Report on Global Food Markets. Rome: Trade and Markets Division of FAO under the Global Information and Early Warning System (GIEWS); 2019. https://www.fao.org/giews/.
Evans LT. Crop evolution, adaptation and yield. New York: Cambridge University Press; 1993.
Google Scholar
Fischer R, Edmeades GO. Breeding and cereal yield progress. Crop Sci. 2010;50:85.
Article
Google Scholar
Fischer R, Nowicki S, Kelley M, Schmidt G. A system of conservative regridding for ice–atmosphere coupling in a general circulation model (gcm). Geosci Model Dev. 2014;7(3):883–907.
Article
Google Scholar
Snape J, Moore G. Reflections and opportunities: gene discovery in the complex wheat genome. In: Wheat Production in Stressed Environments. Dordrecht: Springer Netherlands. 2007;677–684.
Waddington SR, Ransom J, Osmanzai M, Saunders DA. Improvement in the yield potential of bread wheat adapted to northwest Mexico 1. Crop Sci. 1986;26(4):698–703.
Article
Google Scholar
Perry MW, D’Antuono MF. Yield improvement and associated characteristics of some Australian spring wheat cultivars introduced between 1860 and 1982. Aust J Agr Res. 1989;40(3):457–72.
Google Scholar
Siddique KHM, Kirby EJM, Perry MW. Ear: Stem ratio in old and modern wheat varieties; relationship with improvement in number of grains per ear and yield. Field Crop Res. 1989;21:59–78.
Article
Google Scholar
Slafer GA, Andrade FH. Genetic improvement in bread wheat (Triticumaestivum L.) yield in Argentina. Field Crop Res. 1989;21(3–4):289–96.
Article
Google Scholar
Slafer GA, Andrade FH. Physiological attributes related to the generation of grain yield in bread wheat cultivars released at different eras. Field Crop Res. 1993;31(3–4):351–67.
Article
Google Scholar
Acreche MM, Briceño-Félix G, Martín Sanchez JA, Slafer GA. Physiological bases of genetic gains in Mediterranean bread wheat yield in Spain. Eur J Agron. 2008;28:162–70.
Article
Google Scholar
Del Pozo A, Mathus I, Serret MD, Araus JL. Agronomic and physiological traits associated with breeding advances of wheat under high productive Mediterranean conditions. The case of Chile. Environ Exp Bot. 2014;130:180–9.
Article
Google Scholar
Lo Valvo PJ, Miralles DJ, Serrago RA. Genetic progress in Argentine bread wheat varieties released between 1918 and 2011: Changes in physiological and numerical yield components. Field Crop Res. 2018;221:314–21.
Article
Google Scholar
Sadras VO, Lawson C. Genetic gain in yield and associated changes in phenotype, trait plasticity and competitive ability of south Australian wheat varieties released between 1958 and 2007. Crop Pasture Sci. 2011;62:533–49.
Article
Google Scholar
Aisawi KAB, Reynolds MP, Singh RP, Foulkes MJ. The physiological basis of the genetic progress in yield potential of CIMMYT spring wheat cultivars from 1966 to 2009. Crop Sci. 2015;55:1749–64.
Article
Google Scholar
Yao H, Xie Q, Xue S, et al. HL2 on chromosome 7D of wheat (TriticumaestivumL.) regulates both head length and spikelet number. Theor Appl Genet. 2019;32:1789–97.
Article
CAS
Google Scholar
Mammadov J, Aggarwal R, Buyyarapu R, Kumpatla. SNP markers and their impact on plant breeding. Int J Plant Genomics. 2012.
Bhattramakki D, Dolan M, Hanafey M, Wineland R, Vaske D, Register JC III, Tingey SV, Rafalski A. Insertion-deletion polymorphisms in 3′ regions of maize genes occur frequently and can be used as highly informative genetic markers. Plant Mol Biol. 2002;48:539–47.
Article
CAS
PubMed
Google Scholar
Jones ES, Sullivan H, Bhattramakki D, Smith JSC. A comparison of simple sequence repeat and single nucleotide polymorphism marker technologies for the genotypic analysis of maize (Zea mays L.). Theor Appl Genet. 2007;115:361–71.
Article
CAS
PubMed
Google Scholar
Appels R, Eversole K, Feuillet C, et al. Shifting the limits in wheat research and breeding using a fully annotated reference genome. Science. 2018;361:6403.
Google Scholar
Li C, Bai G, Carver B, Chao S, Wang Z. Single nucleotide polymorphism markers linked to QTL for wheat yield traits. Euphytica. 2015;4:1–11.
Google Scholar
Wang SX, Zhu YL, Zhang DX, et al. Genome-wide association study for grain yield and related traits in elite wheat varieties and advanced lines using SNP markers. PLoS ONE. 2017;12(11):e0188662.
Article
PubMed
PubMed Central
CAS
Google Scholar
Daba SD, Tyagi P, Brown-Guedira G, Mohammadi M. Genome-Wide Association Studies to Identify Loci and Candidate Genes Controlling Kernel Weight and Length in a Historical United States Wheat Population. Front Plant Sci. 2018;9:1045.
Article
PubMed
PubMed Central
Google Scholar
Li F, Wen W, He Z, Liu J, Jin H, Cao S, Geng H, Yan J, Zhang P, Wan Y, Xia X. Genome-wide linkage mapping of yield-related traits in three Chinese bread wheat populations using high-density SNP markers. Theor Appl Genet. 2018;131(9):1903–24.
Article
PubMed
Google Scholar
Ma F, Xu Y, Ma Z, Li L, An D. Genome-wide association and validation of key loci for yield-related traits in wheat founder parent Xiaoyan 6. Mol Breed. 2018;38:91.
Article
CAS
Google Scholar
Guan P, Lu L, Jia L, Kabir MR, Zhang J, Lan T, Zhao Y, Xin M, Hu Z, Yao Y, Ni Z, Sun Q, Peng H. Global QTL analysis identifies genomic regions on chromosomes 4A and 4B harboring stable loci for yield-related traits across different environments in wheat (TriticumaestivumL.). Front Plant Sci. 2018;9:529.
Article
PubMed
PubMed Central
Google Scholar
Börner A, Schumann E, Fürste A, Cöster H, Leithold B, Röder M, Weber W. Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (TriticumaestivumL.). Theor Appl Genet. 2002;105:921–36.
Article
PubMed
Google Scholar
Wu XS, Chang XP, Jing RL. Genetic insight into yield-associated traits of wheat grown in multiple rain-fed environments. PLoS ONE. 2012;7:e31249.
Article
CAS
PubMed
PubMed Central
Google Scholar
Xu Y, Wang R, Tong Y, Zhao H, Xie Q, Liu D, Zhang A, Li B, Xu H, An D. Mapping QTLs for yield and nitrogen-related traits in wheat: influence of nitrogen and phosphorus fertilization on QTL expression. Theor Appl Genet. 2014;127:59–72.
Article
CAS
PubMed
Google Scholar
Zhai H, Feng Z, Li J, Liu X, Xiao S, Ni Z, Sun Q. QTL analysis of spike morphological traits and plant height in winter wheat (TriticumaestivumL.) using a high-density SNP and SSR-based linkage map. Front Plant Sci. 2016;7:1617.
PubMed
PubMed Central
Google Scholar
Chen D, Wu XY, Wu K, Zhang JP, Liu WH, Yang XM, Li XQ, Lu YQ, Li LH. Novel and favorable genomic regions for spike related traits in a wheat germplasm Pubing 3504 with high grain number per spike under varying environments. J Integr Agric. 2017;16(11):2386–401.
Article
Google Scholar
Deng Z, Cui Y, Han Q, Fang W, Li J, Tian J. Discovery of Consistent QTLs of Wheat Spike-Related Traits under Nitrogen Treatment at Different Development Stages. Front Plant Sci. 2017;8:2120.
Article
PubMed
PubMed Central
Google Scholar
Guo J, Shi W, Zhang Z, Cheng J, Sun D, Yu J, Li X, Guo P, Hao G. Association of yield-related traits in founder genotypes and derivatives of common wheat (TriticumaestivumL.). BMC Plant Biol. 2018;18:38.
Article
PubMed
PubMed Central
CAS
Google Scholar
Fan X, Cui F, Ji J, Zhang W, Zhao X, Liu J, Meng D, Tong Y, Wang T, Li J. Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping. Front Plant Sci. 2019;10:187.
Article
PubMed
PubMed Central
Google Scholar
Ma J, Ding P, Liu J, et al. Identification and validation of a major and stably expressed QTL for spikelet number per spike in bread wheat. Theor Appl Genet. 2019;132:3155–67.
Article
CAS
PubMed
Google Scholar
Jantasuriyarat C, Vales MI, Watson CJW, Riera-Lizarazu O. Identification and mapping of genetic loci affecting the free-threshing habit and spike compactness in wheat (TriticumaestivumL.). Theor Appl Genet. 2004;108:261–73.
Article
CAS
PubMed
Google Scholar
Ding AM, Li J, Cui F, Zhao CH, Ma HY, Wang HG. Mapping QTLs for Yield Related Traits Using Two Associated RIL Populations of Wheat. Acta Agronómica Sinica. 2011;37:1511–24.
CAS
Google Scholar
Wang J, Liu W, Wang H, Li L, Wu J, Yang X, Wang J, Yang X, Li X, Gao A. QTL mapping of yield-related traits in the wheat germplasm 3228. Euphytica. 2011;177:277–92.
Article
Google Scholar
Cui F, Ding A, Li J, Zhao C, Wang L, Wang X, Qi X, Li X, Li G, Gao J, Wang H. QTL detection of seven spike-related traits and their genetic correlations in wheat using two related RIL populations. Euphytica. 2012;186:177–92.
Article
Google Scholar
Zhai H, Feng Z, Du X, et al. A novel allele of TaGW2-A1 is located in a finely mapped QTL that increases grain weight but decreases grain number in wheat (TriticumaestivumL.). Theor Appl Genet. 2017;131:539–53.
Article
PubMed
PubMed Central
CAS
Google Scholar
Gao F, Wen W, Liu J, Rasheed A, Yin G, Xia X, Wu X, He Z. Genome-wide linkage mapping of QTL for yield components, plant height and yield-related physiological traits in the Chinese wheat cross Zhou 8425B/Chinese Spring. Front Plant Sci. 2015;6:1099.
PubMed
PubMed Central
Google Scholar
Pang Y, Liu C, Wang D, et al. High-Resolution Genome-wide Association Study Identifies Genomic Regions and Candidate Genes for Important Agronomic Traits in Wheat. Mol Plant. 2020;13:1311–27.
Article
CAS
PubMed
Google Scholar
Guo Z, Chen D, Alqudah AM, Röder MS, Ganal MW, Schnurbusch T. Genome-wide association analyses of 54 traits identified multiple loci for the determination of floret fertility in wheat. New Phytol. 2017;214:257–70.
Article
CAS
PubMed
Google Scholar
Liu J, Xu Z, Fan X, Zhou Q, Cao J, Wang F, Ji G, Yang L, Feng B, Wang T. A Genome-Wide Association Study of Wheat Spike Related Traits in China. Front Plant Sci. 2018;9:1584.
Article
PubMed
PubMed Central
Google Scholar
Sukumaran S, Lopes M, Dreisigacker S, Reynolds M. Genetic analysis of multi-environmental spring wheat trials identifies genomic regions for locus-specific trade-offs for grain weight and grain number. Theor Appl Genet. 2018;131:985–98.
Article
CAS
PubMed
Google Scholar
Gerard GS, Alqudah A, Lohwasser U, Börner A, Simón MR. Uncovering the Genetic Architecture of Fruiting Efficiency in Bread Wheat: A Viable Alternative to Increase Yield Potential. Crop Sci. 2019;59:1–17.
Article
CAS
Google Scholar
Wang RX, Hai L, Zhang XY, You GX, Yan CS, Xiao SH. QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai x Yu8679. Theor Appl Genet. 2009;118(2):313–25.
Article
CAS
PubMed
Google Scholar
Cuthbert JL, Somers DJ, Brûlé-Babel AL, Brown PD, Crow GH. Molecular mapping of quantitative trait loci for yield and yield components in spring wheat (TriticumaestivumL.). Theor Appl Genet. 2008;117:595–608.
Article
CAS
PubMed
Google Scholar
Yu M, Mao SL, Hou DB, et al. Analysis of contributors to grain yield in wheat at the individual quantitative trait locus level. Plant Breed. 2018;137:35–49.
Article
CAS
Google Scholar
Tang YL, Li J, Wu YQ, Wei HT, Li CS, Yang WY, Chen F. Identification of QTL for yield-related traits in the ecombinant inbred line population derived from the cross between a synthetic hexaploidy wheat-derived variety Chuanmai 42 and a Chinese elite variety Chuannong 16. Agric Sci China. 2011;10:1665–80.
Article
CAS
Google Scholar
Kato K, Miura H, Sawada S. Mapping QTLs controlling grain yield and its components on chromosome 5A of wheat. Theor Appl Genet. 2000;101:1114–21.
Article
CAS
Google Scholar
Zhou Y, Conway B, Miller D, Marshall D, Cooper A, Murphy P, Chao S, Brown-Guedira G, Costa J. Quantitative Trait Loci Mapping for Spike Characteristics in Hexaploid Wheat. Plant genome. 2017;10(2):1–15.
Article
CAS
Google Scholar
Ma Y, Chen G-Y, Zhang L-Q, Liu Y-X, Liu D-C, Wang J-R, Pu Z, Zhang L, Lan X-J, Wei Y-M, Liu C-J, Zheng Y-L. QTL Mapping for Important Agronomic Traits in Synthetic Hexaploid Wheat Derived from Aegiliops tauschii ssp. tauschii. J Integr Agric. 2014;13(9):1835–44.
Article
Google Scholar
Ma Z, Zhao D, Zhang C, Zhang Z, Xue S, Lin F, Kong Z, Tian D, Luo Q. Molecular genetic analysis of five spike-related traits in wheat using RIL and immortalized F2 populations. Mol Genet Genomics. 2007;277(1):31–42.
Article
CAS
PubMed
Google Scholar
Fischer RA. Yield Potential in a Dwarf Spring Wheat and the Effect of Shading 1. Crop Sci. 1975;5:607–13.
Article
Google Scholar
Kirby EJM. Analysis of leaf, stem and ear growth in wheat from terminal spikelet stage to anthesis. Field Crop Res. 1988:127–140.
González FG, Miralles DJ, Slafer GA. Wheat floret survival as related to pre-anthesis spike growth. J Exp Bot. 2011;62:4889–901.
Article
PubMed
CAS
Google Scholar
Fischer RA. Number of kernels in wheat crops and the influence of solar radiation and temperature. J Agr Sci. 1985;105:447–61.
Article
Google Scholar
Fischer RA, Stockman YM. Kernel Number per Spike in Wheat (TriticumAestivumL.): Responses to Preanthesis Shading. Aust J Plant Physiol. 1980;7:169–80.
CAS
Google Scholar
Fischer RA. Irrigated spring wheat and timing and amount of nitrogen fertilizer. II. Physiology of grain yield response. Filed Crop Res. 1993;33:57–80.
Article
Google Scholar
Pretini N, Terrile II, Gazaba LN, Donaire G, Arisnabarreta S, Vanzetti LS, González. A comprehensive study of spike fruiting efficiency in wheat. Crop Sci. 2020;60:1541–55.
Article
CAS
Google Scholar
Abbate PE, Andrade FH, Lázaro L, Bariffi JH, Berardocco HG, Inza VH, Marturano F. Grain yield increase in recent Argentine wheat cultivars. Crop Sci. 1998;38:1203–9.
Article
Google Scholar
Bustos DV, Hasan AK, Reynolds MP, Calderini DF. Combining high grain number and weight through a DH–population to improve grain yield potential of wheat in high–yielding environments. Field Crop Res. 2013;145:106–15.
Article
Google Scholar
García GA, Serrago RA, González FG, Slafer GA, Reynolds MP, Miralles DJ. Wheat grain number: Identification of favourable physiological traits in an elite doubled-haploid population. Field Crop Res. 2014;168:126–34.
Article
Google Scholar
Elía M, Savin R, Slafer GA. Fruiting efficiency in wheat: physiological aspects and genetic variation among modern cultivars. Field Crop Res. 2016;191:83–90.
Article
Google Scholar
Terrile II, Miralles DJ, González FG. Fruiting efficiency in wheat (TriticumaestivumL.): Trait response to different growing conditions and its relation to spike dry weight at anthesis and grain weight at harvest. Field Crop Res. 2017;201:86–96.
Article
Google Scholar
Rivera-Amado C, Trujillo-Negrellos E, Molero G, Reynolds MP, Sylvester-Bradley R, Foulkes MJ. Optimizing dry-matter partitioning for increased spike growth, grain number and harvest index in spring wheat. Field Crop Res. 2019;240:154–67.
Article
Google Scholar
González FG, Slafer GA, Miralles DJ. Grain and floret number in response to photoperiod during stem elongation in fully and slightly vernalized wheats. Field Crop Res. 2003;81:17–27.
Article
Google Scholar
Basile SML, Ramirez IA, Crescente JM, Conde MB, Demichelis M, Abbate PE, Rogers WJ, Pontaroli AC, Helguera M, Vanzetti LS. Haplotype block analysis of an Argentinean hexaploid wheat collection and GWAS for yield components and adaptation. BMC Plant Biol. 2019;19:553.
Article
CAS
Google Scholar
Pretini N, Vanzetti LS, Terrile II, Börner A, Plieske J, Ganal M, Röder M, González FG. Identification and validation of QTL for spike fertile floret and fruiting efficiencies in hexaploidy wheat (TriticumaestivumL.). Theor Appl Genet. 2020;133:2655–71.
Article
CAS
PubMed
Google Scholar
Yan L, Helguera M, Kato K, Fukuyama S, Sherman J, Dubcovsky J. Allelic variation at the VRN-1 promoter region in polyploid wheat. Theor Appl Genet. 2004;109:1677–86.
Article
CAS
PubMed
Google Scholar
Fu D, Szűcs P, Yan L, Helguera M, Skinner JS, von Zitzewitz J, Hayes PM, Dubcovsky J. Large deletions within the first intron in VRN-1 are associated with spring growth habit in barley and wheat. Mol Genet Genomic. 2005;273:54–65.
Article
CAS
Google Scholar
Mahibbur RM, Govindarajulu Z. A modification of the test of Shapiro and Wilk for normality. J App Stat. 1997;24(2):219–35.
Article
Google Scholar
Fischer RA. Wheat. In: Smith WH, Banta, SJ (Eds.) Symposium on potential productivity of field crops under different environments. International Rice Research Institute. 1984;129–153.
Fischer RA. Wheat physiology: a review of recent developments. Crop Pasture Sci. 2011;62:95–114.
Article
Google Scholar
Su Z, Hao C, Wang L, Dong Y, Zhang X. Identification and development of a functional marker of TaGW2 associated with grain weight in bread wheat (TriticumaestivumL.). Theor Appl Genet. 2011;122(1):211–23.
Article
CAS
PubMed
Google Scholar
Kuzay S, Xu Y, Zhang J, et al. Identification of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high-resolution genetic mapping. Theor Appl Genet. 2019;132(9):2689–705.
Article
CAS
PubMed
PubMed Central
Google Scholar
Sakuma S, Golan G, Guo Z, et al. Unleashing floret fertility in wheat through the mutation of a homeobox gene. Proc Natl Acad Sci USA. 2019;116:5182.
Article
CAS
PubMed
PubMed Central
Google Scholar
Hay R, Kirby E. Convergence and synchrony—a review of the coordination of development in wheat. Aust J Agric Res. 1991;42:661–700.
Article
Google Scholar
Griffiths S, Wingen L, Pietragalla J, et al. Genetic dissection of grainsize and grain number trade-offs in CIMMYT wheat germplasm. PLoS ONE. 2015;10(3):e0118847.
Article
PubMed
PubMed Central
CAS
Google Scholar
Zadoks JC, Chang TT, Konzak CF. A decimal code for the growth stages of cereals. Weed Res. 1974;14:415–21.
Article
Google Scholar
Di Rienzo JA, Casanoves F, Balzarini MG, González L, Tablada M, Robledo CW. Grupo InfoStat, FCA, Universidad Nacional de Córdoba, Argentina. 2016.
Hallauer AR, Miranda F. Quantitative genetics in maize breeding. 2nd. Ed. Ames: Iowa State University Press, 468. 1981.
Wang S, Wong D, Forrest K, et al. Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array. Plant Biotechnol J. 2014;12:787–96.
Article
CAS
PubMed
PubMed Central
Google Scholar
Broman KW, Wu H, Sen S, Churchill GA. R/qtl: QTL mapping in experimental crosses. Bioinformatics (Oxford, England). 2003;19:889–90.
Article
CAS
Google Scholar
Wang S, Basten CJ, Zeng ZB. Windows QTL Cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh, NC. 2012.