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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
REVIEW

Breeding for increased drought tolerance in wheat: a review

Reza Mohammadi
+ Author Affiliations
- Author Affiliations

Dryland Agricultural Research Institute, Sararood Branch, AREEO, Kermanshah, Iran. Email: r.mohammadi@areeo.ac.ir

Crop and Pasture Science 69(3) 223-241 https://doi.org/10.1071/CP17387
Submitted: 13 October 2017  Accepted: 21 November 2017   Published: 5 March 2018

Abstract

Drought, being a yield-limiting factor, has become a major threat to international food security. It is a complex process, and drought tolerance response is carried out by various genes, transcription factors, microRNAs, hormones, proteins, co-factors, ions and metabolites. This complexity has limited the development of crop cultivars for drought tolerance. Breeding for drought tolerance is further complicated because several types of abiotic stress, such as high temperatures, high irradiance, and nutrient toxicities or deficiencies, can challenge crop plants simultaneously. Although marker-assisted selection is now widely deployed in wheat, it has not contributed significantly to cultivar improvement for adaptation to low-yielding environments, and breeding has relied largely on direct phenotypic selection for improved performance in these difficult environments. Advances in plant breeding to produce improved and higher performing wheat cultivars are key to making dryland food-production systems more efficient and more resistant to pressure from drought, extremes of cold and heat, unpredictable rainfall, and new pests and diseases. For optimal performance, wheat cultivars can be targeted to specific farming systems, depending on local conditions and stresses. Genetic gain in wheat yield potential during the last century has been achieved by plant breeding and is well documented. It has been studied by comparing, in the same field trial, the yield of cultivars characterised by different years of release. Genomic selection (GS) and high-throughput phenotyping (HTP) have attracted the interest of plant breeders, and both approaches promise to revolutionise the prediction of complex traits, including growth, yield and adaptation to stress. This review describes the impact of drought on yield, trends in yield for boosting crop yields to meet the projected demands of rising global population by 2050, and genetic gain achieved by plant breeding in the last decades; and gathers known functional information on the genes, metabolites and traits and their direct involvement in conferring drought tolerance in wheat. In addition, it discusses recently developed techniques (i.e. GS and HTP) integrated with approaches such as breeding, genetics, genomics, and agronomic strategies for improving drought in wheat.

Additional keywords: agro-physiological traits, climate change, genetic enhancement, Triticum aestivum.


References

Abebe T, Guenzi AC, Martin B, Cushman JC (2003) Tolerance of mannitol-accumulating transgenic wheat to water stress and salinity. Plant Physiology 131, 1748–1755.
Tolerance of mannitol-accumulating transgenic wheat to water stress and salinity.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXjt1SqsLk%3D&md5=08efc8644f30e2d75a121ef6b428a217CAS |

Akdemir D, Sanchez JI, Jannink J-L (2015) Optimization of genomic selection training populations with a genetic algorithm. Genetics Selection Evolution 47, 38
Optimization of genomic selection training populations with a genetic algorithm.Crossref | GoogleScholarGoogle Scholar |

Akpınar BA, Lucas SJ, Budak H (2013) Genomics approaches for crop improvement against abiotic stress. The Scientific World Journal 2013, 361921
Genomics approaches for crop improvement against abiotic stress.Crossref | GoogleScholarGoogle Scholar |

Akpınar BA, Kantar M, Budak H (2015) Root precursors of microRNAs in wild emmer and modern wheats show major differences in response to drought stress. Functional & Integrative Genomics 15, 587–598.
Root precursors of microRNAs in wild emmer and modern wheats show major differences in response to drought stress.Crossref | GoogleScholarGoogle Scholar |

Alexandratos N, Bruinsma J (2012) World Agriculture towards 2030/2050. ESA Working Paper No. 12-03. Food and Agriculture Organization of the United Nations, Rome.

Alvarez S, Roy-Choudhury S, Pandey S (2014) Comparative quantitative proteomics analysis of the ABA response of roots of drought-sensitive and drought-tolerant wheat varieties identifies proteomic signatures of drought adaptability. Journal of Proteome Research 13, 1688–1701.
Comparative quantitative proteomics analysis of the ABA response of roots of drought-sensitive and drought-tolerant wheat varieties identifies proteomic signatures of drought adaptability.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhsVOjtbs%3D&md5=fdee5d9ef1777404a00f67338beb16f3CAS |

Andrade-Sanchez P, Gore MA, Heun JT, Thorp KR, Carmo-Silva AE, French AN, Salvucci ME, White JW (2014) Development and evaluation of a field-based high-throughput phenotyping platform. Functional Plant Biology 41, 68–79.
Development and evaluation of a field-based high-throughput phenotyping platform.Crossref | GoogleScholarGoogle Scholar |

Anjum F, Yaseen M, Rasul E, Wahid A, Anjum S (2003) Water stress in barley Hordeum vulgare L. I. Effect on chemical composition and chlorophyll contents. Pakistan Journal of Agricultural Sciences 40, 45–49.

Araus JL, Slafer GA, Reynolds MP, Royo C (2002) Plant breeding and water relations in C3 cereals: what should we breed for? Annals of Botany 89, 925–940.
Plant breeding and water relations in C3 cereals: what should we breed for?Crossref | GoogleScholarGoogle Scholar |

Araus JL, Villegas D, Aparicio N, Garcıa del Moral LF, El Hani Rharrabti Y, Ferrio JP, Royo C (2003) Environmental factors determining carbon isotope discrimination and yield in durum wheat under Mediterranean conditions. Crop Science 43, 170–180.
Environmental factors determining carbon isotope discrimination and yield in durum wheat under Mediterranean conditions.Crossref | GoogleScholarGoogle Scholar |

Arvidsson S, Pérez-Rodríguez P, Mueller-Roeber B (2011) A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects. New Phytologist 191, 895–907.
A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects.Crossref | GoogleScholarGoogle Scholar |

Ayers KL, Cordell HJ (2010) SNP selection in genome-wide and candidate gene studies via penalized logistic regression. Genetic Epidemiology 34, 879–891.
SNP selection in genome-wide and candidate gene studies via penalized logistic regression.Crossref | GoogleScholarGoogle Scholar |

Bahieldin A, Mahfouz HT, Eissa HF, Saleh OM, Ramadan AM, Ahmed IA, Dyer WE, El-ltriby HA, Madkour MA (2005) Field evaluation of transgenic wheat plants stably expressing the HVA1 gene for drought tolerance. Physiologia Plantarum 123, 421–427.
Field evaluation of transgenic wheat plants stably expressing the HVA1 gene for drought tolerance.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXjsFekt78%3D&md5=b20a6317ff2146a68273728eee9859c6CAS |

Balla K, Rakszegi M, Li Z, Bekes F, Bencze S, Veisz O (2011) Quality of winter wheat in relation to heat and drought shock after anthesis. Czech Journal of Food Sciences 29, 117–128.
Quality of winter wheat in relation to heat and drought shock after anthesis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXkvFGqt7Y%3D&md5=10d9a8cef7b1586c4bb40f532fb2fc15CAS |

Baluja J, Diago MP, Balda P, Zorer R, Meggio F, Morales F, Tardaguila J (2012) Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV). Irrigation Science 30, 511–522.
Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV).Crossref | GoogleScholarGoogle Scholar |

Bao Y, Vuong T, Meinhardt C, Tiffin P, Denny R, Chen S, Nguyen HT, Orf JH, Young ND (2014) Potential of association mapping and genomic selection to explore PI 88788 derived soybean cyst nematode resistance. The Plant Genome 7,
Potential of association mapping and genomic selection to explore PI 88788 derived soybean cyst nematode resistance.Crossref | GoogleScholarGoogle Scholar |

Barakat MN, Saleh MS, Al-Doss AA, Moustafa KA, Elshafei AA, Zakri AM, Al-Qurainy FH (2015) Mapping of QTLs associated with abscisic acid and water stress in wheat. Biologia Plantarum 59, 291–297.
Mapping of QTLs associated with abscisic acid and water stress in wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXktVeqtL0%3D&md5=722528be9c518c791f666c8b69246f64CAS |

Bari A, Street K, Mackay M, Endresen DTF, De Pauw E, Amri A (2012) Focused identification of germplasm strategy (FIGS) detects wheat stem rust resistance linked to environmental variables. Genetic Resources and Crop Evolution 59, 1465–1481.
Focused identification of germplasm strategy (FIGS) detects wheat stem rust resistance linked to environmental variables.Crossref | GoogleScholarGoogle Scholar |

Bates BC, Kundzewicz ZW, Wu S, Palutikof JP (2008) Climate Change and Water. IPCC Technical Paper IV. Intergovernmental Panel on Climate Change, Geneva. Available at: www.ipcc.ch/pdf/technical-papers/climate-change-water-en.pdf (accessed 24 January 2018).

Benmahammed A, Djekoun A, Kribaa M, Bouzerzour H (2010) Assessment of stress tolerance in barley Hordeum vulgare L. advanced breeding lines under semi arid conditions of the eastern high plateaus of Algeria. Euphytica 172, 383–394.
Assessment of stress tolerance in barley Hordeum vulgare L. advanced breeding lines under semi arid conditions of the eastern high plateaus of Algeria.Crossref | GoogleScholarGoogle Scholar |

Bennett D, Izanloo A, Reynolds M, Kuchel H, Langridge P, Schnurbusch T (2012) Genetic dissection of grain yield and physical grain quality in bead wheat (Triticum aestivum L.) under water-limited environments. Theoretical and Applied Genetics 125, 255–271.
Genetic dissection of grain yield and physical grain quality in bead wheat (Triticum aestivum L.) under water-limited environments.Crossref | GoogleScholarGoogle Scholar |

Berger B, Parent B, Tester M (2010) High-throughput shoot imaging to study drought responses. Journal of Experimental Botany 61, 3519–3528.
High-throughput shoot imaging to study drought responses.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhtVert7vO&md5=6479b284444af3c90b165888427fc18cCAS |

Bita CE, Gerats T (2013) Plant tolerance to high temperature in a changing environment: scientific fundamentals and production of heat stress-tolerant crops. Frontiers in Plant Science 4, 273
Plant tolerance to high temperature in a changing environment: scientific fundamentals and production of heat stress-tolerant crops.Crossref | GoogleScholarGoogle Scholar |

Blum A (2010) ‘Plant breeding for water-limited environments.’ pp. 1–210. (Springer: London)

Bouslama M, Schapaugh WT (1984) Stress tolerance in soybean. Part 1: Evaluation of three screening techniques for heat and drought tolerance. Crop Science 24, 933–937.
Stress tolerance in soybean. Part 1: Evaluation of three screening techniques for heat and drought tolerance.Crossref | GoogleScholarGoogle Scholar |

Boyer JS, Westgate ME (2004) Grain yields with limited water. Journal of Experimental Botany 55, 2385–2394.
Grain yields with limited water.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXovVOisr8%3D&md5=4cf30c7cd7ec87af82ecd652e304fc15CAS |

Budak H, Akpinar BA (2015) Plant miRNAs: biogenesis, organization and origins. Functional & Integrative Genomics 15, 523–531.
Plant miRNAs: biogenesis, organization and origins.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXhtVyhs7fK&md5=f47953739e32c31a4cdc075e1ef92899CAS |

Budak H, Akpinar BA, Unver T, Turktas M (2013) Proteome changes in wild and modern wheat leaves upon drought stress by two-dimensional electrophoresis and nanoLC-ESI-MS/MS. Plant Molecular Biology 83, 89–103.
Proteome changes in wild and modern wheat leaves upon drought stress by two-dimensional electrophoresis and nanoLC-ESI-MS/MS.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhtlCnur7F&md5=51db7e4b44cbced69442ff3bb425fa2fCAS |

Budak H, Hussain B, Khan Z, Ozturk NZ, Ullah N (2015) From genetics to functional genomics: improvement in drought signaling and tolerance in wheat. Frontiers in Plant Science 6, 1012
From genetics to functional genomics: improvement in drought signaling and tolerance in wheat.Crossref | GoogleScholarGoogle Scholar |

Burgueño J, de los Campos G, Weigel K, Crossa J (2012) Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers. Crop Science 52, 707–719.
Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers.Crossref | GoogleScholarGoogle Scholar |

Cabrera-Bosquet L, Crossa J, von Zitzewitz J, Serret MD, Araus JL (2012) High-throughput phenotyping and genomic selection: the frontiers of crop breeding converge. Journal of Integrative Plant Biology 54, 312–320.
High-throughput phenotyping and genomic selection: the frontiers of crop breeding converge.Crossref | GoogleScholarGoogle Scholar |

Campos H, Cooper M, Habben JE, Edmeades GO, Schussler JR (2004) Improving drought tolerance in maize, a view from industry. Field Crops Research 90, 19–34.
Improving drought tolerance in maize, a view from industry.Crossref | GoogleScholarGoogle Scholar |

Cattivelli L, Rizza F, Badeck FW, Mazzucotelli E, Mastrangelo AM, Francia E, Mare C, Tondelli A, Stanca AM (2008) Drought tolerance improvement in crop plants: an integrative view from breeding to genomics. Field Crops Research 105, 1–14.
Drought tolerance improvement in crop plants: an integrative view from breeding to genomics.Crossref | GoogleScholarGoogle Scholar |

Chao H, Cao Y, Chen Y (2010) Autopilots for small unmanned aerial vehicles: a survey. International Journal of Control, Automation, and Systems 8, 36–44.
Autopilots for small unmanned aerial vehicles: a survey.Crossref | GoogleScholarGoogle Scholar |

Chapman SC, Merz T, Chan A, Jackway P, Hrabar S, Fernanda Dreccer M, Holland E, Zheng B, Jun Ling T, Jimenez-Berni J (2014) A low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotyping. Agronomy 4, 279–301.
A low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotyping.Crossref | GoogleScholarGoogle Scholar |

Chen CB, Dickman MB (2005) Proline suppresses apoptosis in the fungal pathogen Colletotrichum trifolii. Proceedings of the National Academy of Sciences of the United States of America 102, 3459–3464.
Proline suppresses apoptosis in the fungal pathogen Colletotrichum trifolii.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXitl2lu7Y%3D&md5=e9518e43e8474ea9f4c98f4ae45707d1CAS |

Chen D, Neumann K, Friedel S, Kilian B, Chen M, Altmann T, Klukas C (2014) Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis. The Plant Cell 26, 4636–4655.
Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXislGmt74%3D&md5=d9101d5983bd63f957e8adca0b1228d7CAS |

Christopher TJ, Christopher MJ, Borrell AK, Fletcher S, Chenu K (2016) Stay-green traits to improve wheat adaptation in well-watered and water-limited environments Journal of Experimental Botany 67, 5159–5172.
Stay-green traits to improve wheat adaptation in well-watered and water-limited environmentsCrossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2sXotVSlsLw%3D&md5=ded2508a5688a97ee5745b2b2c25ca29CAS |

Cobb JN, DeClerck G, Greenberg A, Clark R, McCouch S (2013) Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement. Theoretical and Applied Genetics 126, 867–887.
Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement.Crossref | GoogleScholarGoogle Scholar |

Collins NC, Tardieu F, Tuberosa R (2008) Quantitative trait loci and crop performance under abiotic stress, where do we stand? Plant Physiology 147, 469–486.
Quantitative trait loci and crop performance under abiotic stress, where do we stand?Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXnsVyhsbw%3D&md5=35e653f7e0dc27d96ec264402b808638CAS |

Condon AG, Richards RA, Rebetzke GJ, Farquhar GD (2004) Breeding for high water-use efficiency. Journal of Experimental Botany 55, 2447–2460.
Breeding for high water-use efficiency.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXovVOisrk%3D&md5=06581264cc289c120c04367b47493267CAS |

Crossa J, de los Campos G, Pérez P, Gianola D, Burgueno J, Araus JL, Makumbi D, Singh RP, Dreisigacker S, Yan J (2010) Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers. Genetics 186, 713–724.
Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhsFOnt7jM&md5=87b7aafc2b33899396995c7b43cbcf46CAS |

Cseuz L, Pank J, Kertesz Z, Matuz J, Tari I, Erdei L (2002) Wheat breeding for tolerance to drought stress at the cereal non-profit company. In ‘Proceedings 7th Hungarian Congress on Plant Physiology’. Acta Biologica Szegediensis 46, 25–26.

Cushman JC (2001) Osmoregulation in plants, implications for agriculture. American Zoologist 41, 758–769.

Dai A (2013) Increasing drought under global warming in observations and models. Nature Climate Change 3, 52–58.
Increasing drought under global warming in observations and models.Crossref | GoogleScholarGoogle Scholar |

Daryanto S, Wang L, Jacinthe PA (2016) Global synthesis of drought effects on maize and wheat production. PLoS One 11, e0156362
Global synthesis of drought effects on maize and wheat production.Crossref | GoogleScholarGoogle Scholar |

Davey JW, Hohenlohe PA, Etter PD, Boone JQ, Catchen JM, Blaxter ML (2011) Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Nature Reviews. Genetics 12, 499–510.
Genome-wide genetic marker discovery and genotyping using next-generation sequencing.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXnslShu7k%3D&md5=21e0a1cf0d00ef6ce115e2c435ca921dCAS |

Dhanda SS, Sethi GS (2002) Tolerance to drought stress among selected Indian wheat cultivars. Journal of Agricultural Science 139, 319–326.

Dhondt S, Wuyts N, Inzé D (2013) Cell to whole-plant phenotyping: the best is yet to come. Trends in Plant Science 18, 428–439.
Cell to whole-plant phenotyping: the best is yet to come.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXot1Cnu70%3D&md5=395336958778f598c2da6267b96fc279CAS |

Dodig D, Zoric M, Kandic V, Perovic D, Momirovic GS (2012) Comparison of responses to drought stress of 100 wheat accessions and landraces to identify opportunities for improving wheat drought resistance. Plant Breeding 131, 369–379.
Comparison of responses to drought stress of 100 wheat accessions and landraces to identify opportunities for improving wheat drought resistance.Crossref | GoogleScholarGoogle Scholar |

Dorostkar S, Dadkhodaie A, Heidari B (2015) Evaluation of grain yield indices in hexaploid wheat genotypes in response to drought stress. Archives of Agronomy and Soil Science 61, 397–413.
Evaluation of grain yield indices in hexaploid wheat genotypes in response to drought stress.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhtF2qt7fK&md5=28265be8948d1b6d8fe7e727a0dee2a9CAS |

Dunford R, Michel K, Gagnage M, Piégay H, Trémelo M-L (2009) Potential and constraints of unmanned aerial vehicle technology for the characterization of Mediterranean riparian forest. International Journal of Remote Sensing 30, 4915–4935.
Potential and constraints of unmanned aerial vehicle technology for the characterization of Mediterranean riparian forest.Crossref | GoogleScholarGoogle Scholar |

Eberius M, Lima-Guerra J (2009) High-throughput plant phenotyping: data acquisition, transformation, and analysis. In ‘Bioinformatics: tools and applications’. (Eds D Edwards, J Stajich, D Hansen) pp. 259–278. (Springer: New York)

Edwards D, Batley J, Snowdon RJ (2013) Accessing complex crop genomes with next-generation sequencing. Theoretical and Applied Genetics 126, 1–11.
Accessing complex crop genomes with next-generation sequencing.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXkt1yntQ%3D%3D&md5=8ad6e40851bbf0208cfcfa47283b2b2bCAS |

Ergen NZ, Thimmapuram J, Bohnert HJ, Budak H (2009) Transcriptome pathways unique to dehydration tolerant relatives of modern wheat. Functional & Integrative Genomics 9, 377–396.
Transcriptome pathways unique to dehydration tolerant relatives of modern wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXns1Chu7g%3D&md5=44779f22fc0e98bb3815a9224bc15c74CAS |

Estrada-Campuzano G, Miralles DJ, Slafer GA (2008) Genotypic variability and response to water stress of pre- and post-anthesis phases in triticale. European Journal of Agronomy 28, 171–177.
Genotypic variability and response to water stress of pre- and post-anthesis phases in triticale.Crossref | GoogleScholarGoogle Scholar |

FAO (2006) World agriculture, toward 2030/2050. Interim Report, Global Perspective Studies Unit. Food and Agriculture Organization of the United Nations, Rome.

Farooq M, Wahid A, Kobayashi N, Fujita D, Basra SMA (2009) Plant drought stress, effects, mechanisms and management. Agronomy for Sustainable Development 29, 185–212.
Plant drought stress, effects, mechanisms and management.Crossref | GoogleScholarGoogle Scholar |

Farquhar GD, Richards RA (1984) Isotopic composition of plant carbon correlates with water-use efficiency of wheat genotypes. Australian Journal of Plant Physiology 11, 539–552.
Isotopic composition of plant carbon correlates with water-use efficiency of wheat genotypes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaL2MXhtFSju7w%3D&md5=25eb169595c9295df4b6c0fc2e874f88CAS |

Fernandez GCJ (1992) Effective selection criteria for assessing plant stress tolerance. In ‘Proceedings International Symposium on Adaptation of Vegetables and other Food Crops in Temperature and Water Stress’. 13–16 August 1992, Shanhua, Taiwan. pp. 257–270. (AVRDC Publication)

Fischer RA (2009) Farming systems of Australia, exploiting the synergy between genetic improvement and agronomy. In ‘Crop physiology, applications for genetic improvement and agronomy’. (Eds VO Sadras, DF Calderini) pp. 23–54. (Academic Press: San Diego, CA, USA)

Fischer RA, Maurer R (1978) Drought resistance in spring wheat cultivars. I. Grain yield response. Australian Journal of Agricultural Research 29, 897–912.
Drought resistance in spring wheat cultivars. I. Grain yield response.Crossref | GoogleScholarGoogle Scholar |

Foley JA, Ramankutty N, Brauman KA, Cassidy ES, Gerber JS, Johnston M, Mueller ND, O’Connell C, Ray DK, West PC, Balzer C, Bennett EM, Carpenter SR, Hill J, Monfreda C, Polasky S, Rockström J, Sheehan J, Siebert S, Tilman D, Zaks DPM (2011) Solutions for a cultivated planet. Nature 478, 337–342.
Solutions for a cultivated planet.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtlSktbjF&md5=d7b080d34437617f9e55f5bdf832d763CAS |

Forster BP, Ellis RP, Moir J, Talame V, Sanguineti MC, Tuberosa R, This D, Teulat-Merah B, Ahmed I, Mariy SAEE, Bahri H, El Ouahabi M, Zoumarou , Wallis N, El-Fellah M, Ben Salem M (2004) Genotype and phenotype associations with drought tolerance in barley tested in North Africa. Annals of Applied Biology 144, 157–168.
Genotype and phenotype associations with drought tolerance in barley tested in North Africa.Crossref | GoogleScholarGoogle Scholar |

Friedrich T (2015) A new paradigm for feeding the world in 2050. The sustainable intensification of crop production. In ‘Resource Management’. Vol. 22, p. 18. (ASABE Publisher)

Gavuzzi P, Rizza F, Palumbo M, Campaline RG, Ricciardi GL, Borghi B (1997) Evaluation of field and laboratory predictors of drought and heat tolerance in winter cereals. Plant Science 77, 523–531.

Godfray HCJ, Beddington JR, Crute IR, Haddad L, Lawrence D, Muir JF Godfray HCJ, Beddington JR, Crute IR, Haddad L, Lawrence D, Muir JF (2010) Food security: the challenge of feeding 9 billion people. Science 327, 812–818.
Food security: the challenge of feeding 9 billion people.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhslWisLo%3D&md5=d5f20bc7301795a638f85b096b6e4621CAS |

Golzarian MR, Frick RA, Rajendran K, Berger B, Roy S, Tester M, Lun DS (2011) Accurate inference of shoot biomass from high-throughput images of cereal plants. Plant Methods 7, 2
Accurate inference of shoot biomass from high-throughput images of cereal plants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXisFSrtb4%3D&md5=29bd071d4389567d52706000943d59ddCAS |

Gonzalez-Dugo V, Zarco-Tejada P, Nicolás E, Nortes PA, Alarcón JJ, Intrigliolo DS, Fereres E (2013) Using high resolution UAV thermal imagery to assess the variability in the water status of five fruit tree species within a commercial orchard. Precision Agriculture 14, 660–678.
Using high resolution UAV thermal imagery to assess the variability in the water status of five fruit tree species within a commercial orchard.Crossref | GoogleScholarGoogle Scholar |

GOP (Government of Pakistan) (2014) Agriculture statistics. Pakistan Bureau of Statistics, Ministry of Finance and Economic Affairs, Islamabad, Pakistan.

Grattapaglia D, Resende MDV (2011) Genomic selection in forest tree breeding. Tree Genetics & Genomes 7, 241–255.
Genomic selection in forest tree breeding.Crossref | GoogleScholarGoogle Scholar |

Guóth A, Tari I, Galle A, Csiszar J, Pecsvaradi A, Cseuz L, Erdei L (2009) Comparison of the drought stress responses of tolerant and sensitive cultivars during grain filling: changes in flag leaf photosynthetic activity, ABA levels and grain yield. Journal of Plant Growth Regulation 28, 167–176.
Comparison of the drought stress responses of tolerant and sensitive cultivars during grain filling: changes in flag leaf photosynthetic activity, ABA levels and grain yield.Crossref | GoogleScholarGoogle Scholar |

Gupta OP, Meena NL, Sharma I, Sharma P (2014) Differential regulation of microRNAs in response to osmotic, salt and cold stresses in wheat. Molecular Biology Reports 41, 4623–4629.
Differential regulation of microRNAs in response to osmotic, salt and cold stresses in wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXltFyhtLc%3D&md5=664bf931a98db0ba2e252d673bc9938fCAS |

Guttieri MJ, Stark JC, Brien K, Souza E (2001) Relative sensitivity of spring wheat grain yield and quality parameters to moisture deficit. Crop Science 41, 327–335.
Relative sensitivity of spring wheat grain yield and quality parameters to moisture deficit.Crossref | GoogleScholarGoogle Scholar |

Hafsi M, Akhter J, Monneveux P (2007) Leaf senescence and carbon isotope discrimination in durum wheat (Triticum durum Desf.) under severe drought conditions. Cereal Research Communications 35, 71–80.
Leaf senescence and carbon isotope discrimination in durum wheat (Triticum durum Desf.) under severe drought conditions.Crossref | GoogleScholarGoogle Scholar |

Harris D, Tripathi RS, Joshi A (2002) On-farm seed priming to improve establishment and yield in dry direct seeded rice. In ‘Direct seeding, research strategies and opportunities’. (Eds S Pandey, M Mortimer, L Wade, TP Tuong, K Lopes, B Hardy) pp. 231–240. (International Rice Research Institute: Manila, Philippines)

Hazen SP, Pathan MS, Sanchez A, Baxter I, Dunn M, Estes B, Chang HS, Zhu T, Kreps JA, Nguyen HT (2005) Expression profiling of rice segregating for drought tolerance QTLs using a rice genome array. Functional & Integrative Genomics 5, 104–116.
Expression profiling of rice segregating for drought tolerance QTLs using a rice genome array.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXitFCgs74%3D&md5=d06093816905faf0888480b551845dacCAS |

Heathcote AJ, Filstrup CT, Downing JA (2013) Watershed sediment losses to lakes accelerating despite agricultural soil conservation efforts. PLoS One 8, e53554
Watershed sediment losses to lakes accelerating despite agricultural soil conservation efforts.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXht1Slsbk%3D&md5=818b6fa939562c965deae21a9ea9eda6CAS |

Heffner EL, Jannink J-L, Sorrells ME (2011) Genomic selection accuracy using multifamily prediction models in a wheat breeding program. The Plant Genome 4, 65–75.
Genomic selection accuracy using multifamily prediction models in a wheat breeding program.Crossref | GoogleScholarGoogle Scholar |

Hoad SP, Russell G, Lucas ME, Bingham IJ (2001) The management of wheat, barley and oat root systems. Advances in Agronomy 74, 193–246.
The management of wheat, barley and oat root systems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38Xitl2jsbk%3D&md5=b6b308f52016e4e3e3b6c21abe2c2656CAS |

Honsdorf N, March TJ, Berger B, Tester M, Pillen K (2014) High-throughput phenotyping to detect drought tolerance QTL in wild barley introgression lines. PLoS One 9, e97047
High-throughput phenotyping to detect drought tolerance QTL in wild barley introgression lines.Crossref | GoogleScholarGoogle Scholar |

Huang M, Cabrera A, Hoffstetter A, Griffey C, Van Sanford D, Costa J, McKendry A, Chao S, Sneller C (2016) Genomic selection for wheat traits and trait stability. Theoretical and Applied Genetics 129, 1697–1710.
Genomic selection for wheat traits and trait stability.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28Xps1SjsbY%3D&md5=f43b0b84b6e22b41c1cd12f3365e2813CAS |

Idso SB, Jackson RD, Pinter PJ Idso SB, Jackson RD, Pinter PJ (1981) Normalizing the stress degree day for environmental variability. Agricultural Meteorology 24, 45–55.

Ishimaru K, Yano M, Aoki N, Ono K, Hirose T, Lin SY, Monna L, Sasaki T, Ohsugi R (2001) Toward the mapping of physiological and agronomic characters on a rice function map, QTL analysis and comparison between QTLs and expressed sequence tags. Theoretical and Applied Genetics 102, 793–800.
Toward the mapping of physiological and agronomic characters on a rice function map, QTL analysis and comparison between QTLs and expressed sequence tags.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXlt1SktLo%3D&md5=736c34224a5e47ce860b4ece1da0b4f6CAS |

Isidro J, Jannink J-L, Akdemir D, Poland J, Heslot N, Sorrells ME (2015) Training set optimization under population structure in genomic selection. Theoretical and Applied Genetics 128, 145–158.
Training set optimization under population structure in genomic selection.Crossref | GoogleScholarGoogle Scholar |

Izanloo A, Condon AG, Langridge P, Tester M, Schnurbusch T (2008) Different mechanisms of adaptation to cyclic water stress in two South Australian bread wheat cultivars. Journal of Experimental Botany 59, 3327–3346.
Different mechanisms of adaptation to cyclic water stress in two South Australian bread wheat cultivars.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtFWit7rE&md5=65d5cd5e213c08200dbcee2e0cdd2b8eCAS |

Jäger K, Fábián A, Eitel G, Szabó L, Deák C, Barnabás B, Papp I (2014) A morpho-physiological approach differentiates bread wheat cultivars of contrasting tolerance under cyclic water stress. Journal of Plant Physiology 171, 1256–1266.
A morpho-physiological approach differentiates bread wheat cultivars of contrasting tolerance under cyclic water stress.Crossref | GoogleScholarGoogle Scholar |

Jatoi WA, Baloch MJ, Kumbhar MB, Khan NU, Kerio MI (2011) Effect of water stress on physiological and yield parameters at anthesis stage in elite spring wheat cultivars. Sarhad Journal of Agriculture 27, 59–65.

Joshi R, Karan R, Singla-Pareek SL, Pareek A (2016) Ectopic expression of Pokkali phosphoglycerate kinase-2 (OsPGK2-P) improves yield in tobacco plants under salinity stress. Plant Cell Reports 35, 27–41.
Ectopic expression of Pokkali phosphoglycerate kinase-2 (OsPGK2-P) improves yield in tobacco plants under salinity stress.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXhsFOkurbI&md5=2fdcce893ee63386eb52d0000f5877e3CAS |

Karamanos AJ, Papatheohari AY (1999) Assessment of drought resistance of crop genotypes by means of the water potential index. Crop Science 39, 1792–1797.
Assessment of drought resistance of crop genotypes by means of the water potential index.Crossref | GoogleScholarGoogle Scholar |

Kaya MD, Okçub G, Ataka M, Çıkılıc Y, Kolsarıcıa Ö (2006) Seed treatments to overcome salt and drought stress during germination in sunflower (Helianthus annuus L.). European Journal of Agronomy 24, 291–295.
Seed treatments to overcome salt and drought stress during germination in sunflower (Helianthus annuus L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xjs1KitLc%3D&md5=17b7e0caf53faa313d04fe1d0fb7e280CAS |

Khan AJ, Hassan S, Tariq M, Khan T (2001) Haploidy breeding and mutagenesis for drought tolerance in wheat. Euphytica 120, 409–414.
Haploidy breeding and mutagenesis for drought tolerance in wheat.Crossref | GoogleScholarGoogle Scholar |

Kiliç H, Yağbasanlar T (2010) The effect of drought stress on grain yield, yield components and some quality traits of durum wheat Triticum turgidum ssp. durum cultivars. Notulae Botanicae Horti Agrobotanici Cluj-Napoca 38, 164–170.

Kirigwi FM, Van Ginkel M, Trethowan R, Sears RG, Rajaram S, Paulsen GM (2004) Evaluation of selection strategies for wheat adaptation across water regimes. Euphytica 135, 361–371.
Evaluation of selection strategies for wheat adaptation across water regimes.Crossref | GoogleScholarGoogle Scholar |

Kumar A, Bernier J, Verulkar S, Lafitte HR, Atlin GN (2008) Breeding for drought tolerance, direct selection for yield, response to selection and use of drought-tolerant donors in upland and lowland adapted populations. Field Crops Research 107, 221–231.
Breeding for drought tolerance, direct selection for yield, response to selection and use of drought-tolerant donors in upland and lowland adapted populations.Crossref | GoogleScholarGoogle Scholar |

Kumar S, Sehgal SK, Kumar U, Prasad PVV, Joshi AK, Gill BS (2012) Genomic characterization of drought tolerance-related traits in spring wheat. Euphytica 186, 265–276.
Genomic characterization of drought tolerance-related traits in spring wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XptVKjsbY%3D&md5=5db61bbb2a8ebb79c0267f4d3774e67dCAS |

Lawlor DW, Cornic G (2002) Photosynthetic carbon assimilation and associated metabolism in relation to water deficits in higher plants. Plant, Cell & Environment 25, 275–294.
Photosynthetic carbon assimilation and associated metabolism in relation to water deficits in higher plants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38Xhslakur0%3D&md5=4a539771b391fe154329a2fb9e091526CAS |

Li Z, Xing A, Moon BP, McCardell RP, Mills K, Falco SC (2009) Site-specific integration of transgenes in soybean via recombinase-mediated DNA cassette exchange. Plant Physiology 151, 1087–1095.
Site-specific integration of transgenes in soybean via recombinase-mediated DNA cassette exchange.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhsVCjsbrL&md5=f8949808b31a12854c69f2ce15cf8c58CAS |

Liu H, Zhou X, Dong N, Liu X, Zhang H, Zhang Z (2011) Expression of a wheat MYB gene in transgenic tobacco enhances resistance to Ralstonia solanacearum, and to drought and salt stresses. Functional & Integrative Genomics 11, 431–443.
Expression of a wheat MYB gene in transgenic tobacco enhances resistance to Ralstonia solanacearum, and to drought and salt stresses.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtValurnN&md5=b82238b770fea601d094b54ddf8a3ec5CAS |

Lopes MS, Reynolds MP, Manes Y, Singh RP, Crossa J, Braun HJ (2012) Genetic yield gains and changes in associated traits of CIMMYT spring bread wheat in a ‘Historic’ set representing 30 years of breeding. Crop Science 52, 1123–1131.

Lopes MS, Reynolds MP (2012) Stay-green in spring wheat can be determined by spectral reflectance measurements (normalized difference vegetation index) independently from phenology. Journal of Experimental Botany 63, 3789–3798.
Stay-green in spring wheat can be determined by spectral reflectance measurements (normalized difference vegetation index) independently from phenology.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhtVSht7jI&md5=eae4185fe4017ada91e11c092065f21cCAS |

Lopes MS, Reynolds MP, McIntyre CL, Mathews KL, Jalal Kamali MR, Mossad M, Feltaous Y, Tahir ISA, Chatrath R, Ogbonnaya F, Baum M (2013) QTL for yield and associated traits in the Seri/Babax population grown across several environments in Mexico, in the West Asia, North Africa, and South Asia regions. Theoretical & Applied Genetics 126, 971–984.
QTL for yield and associated traits in the Seri/Babax population grown across several environments in Mexico, in the West Asia, North Africa, and South Asia regions.Crossref | GoogleScholarGoogle Scholar |

Lopez CG, Banowetz GM, Peterson CJ, Kronstad WE (2003) Dehydrin expression and drought tolerance in seven wheat cultivars. Crop Science 43, 577–582.
Dehydrin expression and drought tolerance in seven wheat cultivars.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXmt1erur8%3D&md5=97ba204d98332d06a0cf5c22c51f2368CAS |

Lopez-Cruz M, Crossa J, Bonnett D, Dreisigacker S, Poland J, Jannink J-L, Singh RP, Autrique E, de los Campos G (2015) Increased prediction accuracy in wheat breeding trials using a marker × environment interaction genomic selection model. G3: Genes, Genomes, Genetics 5, 569–582.
Increased prediction accuracy in wheat breeding trials using a marker × environment interaction genomic selection model.Crossref | GoogleScholarGoogle Scholar |

Lorenzana RE, Bernardo R (2009) Accuracy of genotypic value predictions for marker-based selection in biparental plant populations. Theoretical and Applied Genetics 120, 151–161.
Accuracy of genotypic value predictions for marker-based selection in biparental plant populations.Crossref | GoogleScholarGoogle Scholar |

Lucas S, Durmaz E, Akpnar BA, Budak H (2011) The drought response displayed by a DRE-binding protein from Triticum dicoccoides. Plant Physiology and Biochemistry 49, 346–351.
The drought response displayed by a DRE-binding protein from Triticum dicoccoides.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXit1ymtLk%3D&md5=6c62357fdaa00a497500ce0aea78e0c5CAS |

Ma X, Xin Z, Wang Z, Yang Q, Guo S, Guo X, Cao L, Lin T (2015) Identification and comparative analysis of differentially expressed miRNAs in leaves of two wheat (Triticum aestivum L.) genotypes during dehydration stress. BMC Plant Biology 15, 21
Identification and comparative analysis of differentially expressed miRNAs in leaves of two wheat (Triticum aestivum L.) genotypes during dehydration stress.Crossref | GoogleScholarGoogle Scholar |

Maccaferri M, Sanguineti MC, Corneti S, Ortega JLA, Ben Salem M, Bort J, DeAmbrogio E, del Moral LF, Demontis A, El-Ahmed A, Maalouf F, Machlab H, Martos V, Moragues M, Motawaj J, Nachit M, Nserallah N, Ouabbou H, Royo C, Slama A, Tuberosa R (2008) Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability. Genetics 178, 489–511.
Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability.Crossref | GoogleScholarGoogle Scholar |

Majid SA, Asghar R, Murtaza G (2007) Yield stability analysis conferring adaptation of wheat to pre- and post-anthesis drought conditions. Pakistan Journal of Botany 39, 1623–1637.

Mathews KL, Malosetti M, Chapman S, McIntyre L, Reynolds M, Shorter R, van Eeuwijk F (2008) Multi-environment QTL mixed models for drought stress adaptation in wheat. Theoretical and Applied Genetics 117, 1077–1091.
Multi-environment QTL mixed models for drought stress adaptation in wheat.Crossref | GoogleScholarGoogle Scholar |

Merah O, Deléens E, Monneveux P (2001) Relationships between flag leaf carbon isotope discrimination and several morphophysiological traits in durum wheat under Mediterranean conditions. Environmental and Experimental Botany 45, 63–71.
Relationships between flag leaf carbon isotope discrimination and several morphophysiological traits in durum wheat under Mediterranean conditions.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC2sbktVehtg%3D%3D&md5=818bf9ebeb208b4db563fa3934d9f5f2CAS |

Meuwissen T, Hayes B, Goddard M (2001) Prediction of total genetic value using genome-wide dense marker maps. Genetics 157, 1819–1829.

Misra SC, Randive R, Rao VS, Sheshshayee MS, Serraj R, Monneveux P (2006) Relationship between carbon isotope discrimination, ash content and grain yield in wheat in the Peninsular Zone of India. Journal of Agronomy & Crop Science 192, 352–362.
Relationship between carbon isotope discrimination, ash content and grain yield in wheat in the Peninsular Zone of India.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XhtFOrsbzN&md5=8e11800248e39c0d4f63289e2031b5caCAS |

Mohammadi R (2016) Efficiency of yield-based drought tolerance indices to identify tolerant genotypes in durum wheat. Euphytica 211, 71–89.
Efficiency of yield-based drought tolerance indices to identify tolerant genotypes in durum wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28XptFOqt7k%3D&md5=52e05b67c5ffa7a5adb0c049a7362bb2CAS |

Mohammadi R, Amri A (2013) Genotype × environment interaction and genetic improvement for yield and yield stability of rainfed durum wheat in Iran. Euphytica 192, 227–249.
Genotype × environment interaction and genetic improvement for yield and yield stability of rainfed durum wheat in Iran.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXpvFamurk%3D&md5=b074e34909977ba7eef9312f9da74bc0CAS |

Mohammadi R, Armion M, Kahrizi D, Amri A (2010) Efficiency of screening techniques for evaluating durum wheat genotypes under mild drought conditions. International Journal of Plant Production 4, 11–24.

Mohammadi R, Sadeghzadeh D, Armion M, Amri A (2011a) Evaluation of durum wheat experimental lines under different climate and water regime conditions of Iran. Crop & Pasture Science 62, 137–151.
Evaluation of durum wheat experimental lines under different climate and water regime conditions of Iran.Crossref | GoogleScholarGoogle Scholar |

Mohammadi R, Armion M, Sadeghzadeh D, Amri A, Nachit M (2011b) Analysis of genotype-by-environment interaction for agronomic traits of durum wheat in Iran. Plant Production Science 14, 15–21.
Analysis of genotype-by-environment interaction for agronomic traits of durum wheat in Iran.Crossref | GoogleScholarGoogle Scholar |

Mohammadi R, Haghparast R, Sadeghzadeh B, Ahmadi H, Solimani K, Amri A (2014a) Adaptation patterns and yield stability of durum wheat landraces to highland cold rainfed areas of Iran. Crop Science 54, 944–954.
Adaptation patterns and yield stability of durum wheat landraces to highland cold rainfed areas of Iran.Crossref | GoogleScholarGoogle Scholar |

Mohammadi R, Heidari B, Haghparast R (2014b) Traits associated with drought tolerance in spring durum wheat (Triticum turgidum L. var. durum) breeding lines from international germplasm. Crop Breeding Journal 3, 87–98.

Monakhova OF, Chernyadèv II (2002) Protective role of kartolin-4 in wheat plants exposed to soil drought. Applied Biochemistry and Microbiology 38, 373–380.
Protective role of kartolin-4 in wheat plants exposed to soil drought.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XmslKmsb4%3D&md5=fb96539726908bf0b4fabbc0d03d0e1cCAS |

Monneveux P, Reynolds MP, Trethowan R, González-Santoyo H, Peña RJ, Zapata F (2005) Relationship between grain yield and carbon isotope discrimination in bread wheat under four water regimes. European Journal of Agronomy 22, 231–242.
Relationship between grain yield and carbon isotope discrimination in bread wheat under four water regimes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXmtlGgtQ%3D%3D&md5=ca862a03de6ef5b2f56e5babb0b3eba2CAS |

Monneveux P, Jing R, Misra SC (2012) Phenotyping for drought adaptation in wheat using physiological traits. Frontiers in Physiology 3, 429
Phenotyping for drought adaptation in wheat using physiological traits.Crossref | GoogleScholarGoogle Scholar |

Morran S, Eini O, Pyvovarenko T, Parent B, Singh R, Ismagul A, Eliby S, Shirley N, Langridge P, Lopato S (2011) Improvement of stress tolerance of wheat and barley by modulation of expression of DREB/CBF factors. Plant Biotechnology Journal 9, 230–249.
Improvement of stress tolerance of wheat and barley by modulation of expression of DREB/CBF factors.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhvVagtL8%3D&md5=e98240253140348b6859411eab5d033aCAS |

Motzo R, Giunta F, Deidda M (2001) Factors affecting the genotype × environment interaction in spring triticale grown in a Mediterranean environment. Euphytica 121, 317–324.
Factors affecting the genotype × environment interaction in spring triticale grown in a Mediterranean environment.Crossref | GoogleScholarGoogle Scholar |

Mueller ND, Gerber JS, Johnston M, Ray DK, Ramankutty N, Foley JA (2012) Closing yield gaps: nutrient and water management to boost crop production. Nature 490, 254–257.
Closing yield gaps: nutrient and water management to boost crop production.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xht1Kku7vI&md5=be8a4a7f41e136b592831bcd357b7642CAS |

Munns R, James RA, Sirault XRR, Furbank RT, Jones HG (2010) New phenotyping methods for screening wheat and barley for beneficial responses to water deficit. Journal of Experimental Botany 61, 3499–3507.
New phenotyping methods for screening wheat and barley for beneficial responses to water deficit.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhtVert7jJ&md5=4eba258aea7eb6b949a6a894e7c9d903CAS |

Mutava RN, Prasad PVV, Tuinstra MR, Kofoid KD, Yu J (2011) Characterization of sorghum genotypes for traits related to drought tolerance. Field Crops Research 123, 10–18.
Characterization of sorghum genotypes for traits related to drought tolerance.Crossref | GoogleScholarGoogle Scholar |

Mwadzingeni L, Shimelis H, Dube E, Laing MD, Tsilo TJ (2016) Breeding wheat for drought tolerance: Progress and technologies. Journal of Integrative Agriculture 15, 935–943.
Breeding wheat for drought tolerance: Progress and technologies.Crossref | GoogleScholarGoogle Scholar |

Nagel KA, Putz A, Gilmer F, Heinz K, Fischbach A, Pfeifer J, Faget M, Blossfeld S, Ernst M, Dimaki C, Kastenholz B, Kleinert AK, Galinski A, Scharr H, Fiorani F, Schurr U (2012) GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons. Functional Plant Biology 39, 891–904.
GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons.Crossref | GoogleScholarGoogle Scholar |

Njau PN, Kimurto PK, Kinyua MG, Okwaro HK, Ogolla JBO (2006) Wheat productivity improvement in the drought prone areas of Kenya. African Crop Science Journal 14, 49–57.

Olivares-Villegas JJ, Reynolds MP, McDonald GK (2007) Drought-adaptive attributes in the Seri/Babax hexaploid wheat population. Functional Plant Biology 34, 189–203.
Drought-adaptive attributes in the Seri/Babax hexaploid wheat population.Crossref | GoogleScholarGoogle Scholar |

Pandey S, Bhandari H, Hardy B (Eds) (2007) ‘Economic costs of drought and rice farmer’ coping mechanisms: a cross-country comparative analysis.’ (IRRI: Los Baños, The Philippines)

Passioura J (2007) The drought environment, physical, biological and agricultural perspectives. Journal of Experimental Botany 58, 113–117.
The drought environment, physical, biological and agricultural perspectives.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhtlOlt7g%3D&md5=72de004cfae7f335e934a8e62536012aCAS |

Passioura JB, Angus JF (2010) Improving productivity of crops in water-limited environments. Advances in Agronomy 106, 37–75.
Improving productivity of crops in water-limited environments.Crossref | GoogleScholarGoogle Scholar |

Pellegrineschi A, Reynolds M, Pacheco M, Brito RM, Almeraya R, Yamaguchi-Shinozaki K, Hoisington D (2004) Stress-induced expression in wheat of the Arabidopsis thaliana DREB1A gene delays water stress symptoms under greenhouse conditions. Genome 47, 493–500.
Stress-induced expression in wheat of the Arabidopsis thaliana DREB1A gene delays water stress symptoms under greenhouse conditions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXmsVShu7Y%3D&md5=2ef1ca7b30c045172e94f4718b09f0c4CAS |

Plaut Z (2003) Plant exposure to water stress during specific growth stages. In ‘Encyclopedia of water science’. pp. 673–675. (Taylor & Francis: Boca Raton, FL, USA)

Poland J, Endelman J, Dawson J, Rutkoski J, Wu S, Manes Y, Dreisigacker S, Crossa J, Sanchez-Villeda H, Sorrells M (2012) Genomic selection in wheat breeding using genotyping-by sequencing. The Plant Genome 5, 103–113.
Genomic selection in wheat breeding using genotyping-by sequencing.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXlvVaksrw%3D&md5=3fcb8191f48ef7214723b02d6ea4beebCAS |

Prasad PVV, Pisipati SR, Mom’cilovic I, Ristic Z (2011) Independent and combined effects of high temperature and drought stress during grain filling on plant yield and chloroplast EF-Tu expression in spring wheat. Journal of Agronomy & Crop Science 197, 430–441.
Independent and combined effects of high temperature and drought stress during grain filling on plant yield and chloroplast EF-Tu expression in spring wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhsFKmtbzE&md5=ed86c0ec2cad959f03636b2320de2954CAS |

Pretty J, Toulmin C, Williams S (2011) Sustainable intensification in African agriculture. International Journal of Agricultural Sustainability 9, 5–24.
Sustainable intensification in African agriculture.Crossref | GoogleScholarGoogle Scholar |

Qin Y, Wang M, Tian Y, He W, Han L, Xia G (2012) Over-expression of TaMYB33 encoding a novel wheat MYB transcription factor increases salt and drought tolerance in Arabidopsis. Molecular Biology Reports 39, 7183–7192.
Over-expression of TaMYB33 encoding a novel wheat MYB transcription factor increases salt and drought tolerance in Arabidopsis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XlvFartbk%3D&md5=27a047032f6d90767f2e47de2b3c19d0CAS |

Quarrie SA, Quarrie SP, Radosevic R, Rancic D, Kaminska A, Barnes JD, Leverington M, Ceoloni C, Dodig D (2006) Dissecting a wheat QTL for yield present in a range of environments, from the QTL to candidate genes. Journal of Experimental Botany 57, 2627–2637.
Dissecting a wheat QTL for yield present in a range of environments, from the QTL to candidate genes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xotl2mt7Y%3D&md5=44eada5e285867b0410dae5bfc491c89CAS |

Ramanjulu S, Bartels D (2002) Drought- and desiccation-induced modulation of gene expression in plants. Plant, Cell & Environment 25, 141–151.
Drought- and desiccation-induced modulation of gene expression in plants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38Xhslaktbo%3D&md5=35673019c31c5b924a6ad1c0aa22e2bbCAS |

Ray DK, Mueller ND, West PC, Foley JA (2013) Yield trends are insufficient to double global crop production by 2050. PLoS One 8, e66428
Yield trends are insufficient to double global crop production by 2050.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhtVGqtLjE&md5=e635e8b66ea34b6b1e87e870692b68c8CAS |

Rebetzke GJ, Condon AG, Richards RA, Farquhar GD (2002) Selection for reduced carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat. Crop Science 42, 739–745.
Selection for reduced carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat.Crossref | GoogleScholarGoogle Scholar |

Rebetzke GJ, Ellis MH, Bonnett DG, Richards RA (2007) Molecular mapping of genes for coleoptile growth in bread wheat (Triticum aestivum L.). Theoretical and Applied Genetics 114, 1173–1183.
Molecular mapping of genes for coleoptile growth in bread wheat (Triticum aestivum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXkslWnsrc%3D&md5=1859370f5c3cd4066f8ccbccd153d067CAS |

Rebetzke GJ, Bonnett DG, Reynolds MP (2016) Awns reduce grain number to increase grain size and harvestable yield in irrigated and rainfed spring wheat. Journal of Experimental Botany 67, 2573–2586.
Awns reduce grain number to increase grain size and harvestable yield in irrigated and rainfed spring wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28XhsF2ntbbI&md5=289edd89a0632c7692309a6504636fa3CAS |

Reddy AR, Chaitanya KV, Vivekanandan M (2004) Drought-induced responses of photosynthesis and antioxidant metabolism in higher plants. Journal of Plant Physiology 161, 1189–1202.
Drought-induced responses of photosynthesis and antioxidant metabolism in higher plants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhvFegtA%3D%3D&md5=dace7f38889070c3e9171bd4ff0f82bdCAS |

Reddy SK, Liu S, Rudd JC, Xue Q, Payton P, Finlayson SA, Mahan J, Akhunova A, Holalu SV, Lu N (2014) Physiology and transcriptomics of water-deficit stress responses in wheat cultivars TAM 111 and TAM 112. Journal of Plant Physiology 171, 1289–1298.
Physiology and transcriptomics of water-deficit stress responses in wheat cultivars TAM 111 and TAM 112.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhtF2kt77M&md5=9c4f333b99aa16ec37f676dd372e34afCAS |

Repinski SL, Miller JK, Hayes KN, Bliss FA, Trexler CJ (2011) Graduate plant breeding curricula, Opinions from public and private sector stakeholders in industrialized markets. Crop Science 51, 2325–2336.
Graduate plant breeding curricula, Opinions from public and private sector stakeholders in industrialized markets.Crossref | GoogleScholarGoogle Scholar |

Reynolds MP, Skovmand B, Trethowan R, Pfeiffer WH (2000) Evaluating a conceptual model for drought tolerance. In ‘Molecular approaches for the genetic improvement of cereals for stable production in water-limited environments. A Strategic Planning Workshop’. El Batan, Mexico. (Eds JM Ribaut, D Poland) pp. 49–53. (CIMMYT: Mexico, DF)

Reynolds MP, Trethowan R, van Ginkel M, Rajaram S (2001) ‘Application of physiology in wheat breeding.’ (Eds MP Reynolds, JI Ortiz-Monasterio, A McNab) (CIMMYT: Mexico, DF)

Reynolds M, Bonnett D, Chapman SC, Furbank RT, Manès Y, Mather DE, Parry MA (2011) Raising yield potential of wheat. I. Overview of a consortium approach and breeding strategies. Journal of Experimental Botany 62, 439–452.
Raising yield potential of wheat. I. Overview of a consortium approach and breeding strategies.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhsFyrsbzK&md5=8c8cc7b4d452c25f96a9fc9bcc82d3bfCAS |

Richards RA, Lukacs Z (2002) Seedling vigour in wheat—sources of variation for genetic and agronomic improvement. Australian Journal of Agricultural Research 53, 41–50.
Seedling vigour in wheat—sources of variation for genetic and agronomic improvement.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XhsVGrtL0%3D&md5=8e3a01ebece741a95adaa6cf8b0af9baCAS |

Richards RA, Watt M, Rebetzke GJ (2007) Physiological traits and cereal germplasm for sustainable agricultural systems. Euphytica 154, 409–425.
Physiological traits and cereal germplasm for sustainable agricultural systems.Crossref | GoogleScholarGoogle Scholar |

Rincent R, Laloë D, Nicolas S, Altmann T, Brunel D, Revilla P, Rodriguez VM, Moreno-Gonzalez J, Melchinger A, Bauer E, Schoen CC, Meyer N, Giaufflet C, Bauland C, Jamin P, Laborde J, Monod H, Flament P, Charcosset A, Moreau L (2012) Maximizing the reliability of genomic selection by optimizing the calibration set of reference individuals: comparison of methods in two diverse groups of maize inbreds (Zea mays L.). Genetics 192, 715–728.
Maximizing the reliability of genomic selection by optimizing the calibration set of reference individuals: comparison of methods in two diverse groups of maize inbreds (Zea mays L.).Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC38flslSltA%3D%3D&md5=2b2a49554a069f24d5a1a8f10ec8208fCAS |

Rizza F, Badeck FW, Cattivelli L, Li Destri O, Di Fonzo N, Stanca AM (2004) Use of a water stress index to identify barley genotypes adapted to rainfed and irrigated conditions. Crop Science 44, 2127–2137.
Use of a water stress index to identify barley genotypes adapted to rainfed and irrigated conditions.Crossref | GoogleScholarGoogle Scholar |

Rockström J, Steffen W, Noone K, Persson A, Chapin S, Lambin EF, Lenton TM, Scheffer M, Folke C, Schellnhuber HJ, Nykvist B, de Wit CA, Hughes T, van der Leeuw S, Rodhe H, Sörlin S, Snyder PK, Costanza R, Svedin U, Falkenmark M, Karlberg L, Corell RW, Fabry VJ, Hansen J, Walker B, Liverman D, Richardson K, Crutzen P, Foley JA (2009) A safe operating space for humanity. Nature 461, 472–475.
A safe operating space for humanity.Crossref | GoogleScholarGoogle Scholar |

Rosielle AA, Hamblin J (1981) Theoretical aspects of selection for yield in stress and non-stress environment. Crop Science 21, 943–946.
Theoretical aspects of selection for yield in stress and non-stress environment.Crossref | GoogleScholarGoogle Scholar |

Royo C, Aparicio N, Villegas D, Casadesús J, Monneveux P, Araus JL (2003) Usefulness of spectral reflectance indices as durum wheat yield predictors under contrasting Mediterranean conditions. International Journal of Remote Sensing 24, 4403–4419.
Usefulness of spectral reflectance indices as durum wheat yield predictors under contrasting Mediterranean conditions.Crossref | GoogleScholarGoogle Scholar |

Rubio J, Cubero JI, Martín LM, Suso MJ, Flores F (2004) Biplot analysis of trait relations of white lupin in Spain. Euphytica 135, 217–224.
Biplot analysis of trait relations of white lupin in Spain.Crossref | GoogleScholarGoogle Scholar |

Rutkoski JE, Poland JA, Singh RP, Huerta-Espino J, Bhavani S, Barbier H, Rouse MN, Jannink J-L, Sorrells ME (2015) Genomic selection for quantitative adult plant stem rust resistance in wheat. The Plant Genome 7,
Genomic selection for quantitative adult plant stem rust resistance in wheat.Crossref | GoogleScholarGoogle Scholar |

Saad ASI, Li X, Li HP, Huang T, Gao CS, Guo MW, Cheng W, Zhao GY, Liao YC (2013) A rice stress-responsive NAC gene enhances tolerance of transgenic wheat to drought and salt stresses. Plant Science 203–204, 33–40.
A rice stress-responsive NAC gene enhances tolerance of transgenic wheat to drought and salt stresses.Crossref | GoogleScholarGoogle Scholar |

Salem KFM, Roder MS, Borner A (2007) Identification and mapping quantitative trait loci for stem reserve mobilisation in wheat (Triticum aestivum L.). Cereal Research Communications 35, 1367–1374.
Identification and mapping quantitative trait loci for stem reserve mobilisation in wheat (Triticum aestivum L.).Crossref | GoogleScholarGoogle Scholar |

Sallam A, Endelman J, Jannink J-L, Smith K (2015) Assessing genomic selection prediction accuracy in a dynamic barley breeding population. The Plant Genome 8,
Assessing genomic selection prediction accuracy in a dynamic barley breeding population.Crossref | GoogleScholarGoogle Scholar |

Sangtarash MH (2010) Responses of different wheat genotypes to drought stress applied at different growth stages. Pakistan Journal of Biological Sciences 13, 114–119.
Responses of different wheat genotypes to drought stress applied at different growth stages.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC3czgslOksQ%3D%3D&md5=e781a57f001fdd2810536f3cd19db592CAS |

Serraj R, Sinclair TR (2002) Osmolyte accumulation, can it really increase crop yield under drought conditions? Plant, Cell & Environment 25, 333–341.
Osmolyte accumulation, can it really increase crop yield under drought conditions?Crossref | GoogleScholarGoogle Scholar |

Shakhatreh Y, Kafawin O, Ceccarelli S, Saoub H (2001) Selection of barley lines for drought tolerance in low-rainfall areas. Journal of Agronomy & Crop Science 186, 119–127.
Selection of barley lines for drought tolerance in low-rainfall areas.Crossref | GoogleScholarGoogle Scholar |

Shamsi K, Kobraee S (2011) Bread wheat production under drought stress conditions. Annals of Biological Research 2, 352–358.

Shamsi K, Petrosyan M, Noor-Mohammadi G, Haghparast R (2010) The role of water deficit stress and water use efficiency on bread wheat cultivars. Journal of Applied Biosciences 35, 2325–2331.

Shan Q, Wang Y, Li J, Zhang Y, Chen K, Liang Z, Zhang K, Liu J, Xi JJ, Qiu JL, Gao C (2013) Targeted genome modification of crop plants using a CRISPR-Cas system. Nature Biotechnology 31, 686–688.
Targeted genome modification of crop plants using a CRISPR-Cas system.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXht1Cgsb%2FI&md5=209dc0c8c44cbf6d49ae2a97ac3d7904CAS |

Shi Y, Thomasson JA, Murray SC, Pugh NA, Rooney WL, Shafian S, Rajan N, Rouze G, Morgan CL, Neely HL, Rana A, Bagavathiannan MV, Henrickson J, Bowden E, Valasek J, Olsenholler J, Bishop MP, Sheridan R, Putman EB, Popescu S, Burks T, Cope D, Ibrahim A, McCutchen BF, Baltensperger DD, Avant RV Shi Y, Thomasson JA, Murray SC, Pugh NA, Rooney WL, Shafian S, Rajan N, Rouze G, Morgan CL, Neely HL, Rana A, Bagavathiannan MV, Henrickson J, Bowden E, Valasek J, Olsenholler J, Bishop MP, Sheridan R, Putman EB, Popescu S, Burks T, Cope D, Ibrahim A, McCutchen BF, Baltensperger DD, Avant RV (2016) Unmanned aerial vehicles for high-throughput phenotyping and agronomic research. PLoS One 11, e0159781
Unmanned aerial vehicles for high-throughput phenotyping and agronomic research.Crossref | GoogleScholarGoogle Scholar |

Shukla S, Singh K, Patil RV, Kadam S, Bharti S, Prasad P, Singh NK, Khanna-Chopra R (2015) Genomic regions associated with grain yield under drought stress in wheat (Triticum aestivum L.). Euphytica 203, 449–467.
Genomic regions associated with grain yield under drought stress in wheat (Triticum aestivum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXitFyhtbbM&md5=4212dc8398dd825ff7e91a6cef27630cCAS |

Sio-Se Mardeh A, Ahmadi A, Poustini K, Mohammadi V (2006) Evaluation of drought resistance indices under various environmental conditions. Field Crops Research 98, 222–229.
Evaluation of drought resistance indices under various environmental conditions.Crossref | GoogleScholarGoogle Scholar |

Slafer GA, Araus JL (2007) Physiological traits for improving wheat yield under a wide range of conditions. In ‘Scale and complexity in plant systems research: Gene-plant-crop relations’. (Eds JHJ Spiertz, PC Struik, HH van Laar) pp. 145–154. (Springer: Dordrecht, Netherlands)

Slafer GA, Whitechurch EM (2001) Manipulating wheat development to improve adaptation. In ‘Application of physiology in wheat breeding’. (Eds MP Reynolds, JI Ortiz-Monasterio, A McNab) (CIMMYT: Mexico, DF)

Slafer GA, Araus JL, Royo C, García del Moral LF (2005) Promising eco-physiological traits for genetic improvement of cereal yields in Mediterranean environments. Annals of Applied Biology 146, 61–70.
Promising eco-physiological traits for genetic improvement of cereal yields in Mediterranean environments.Crossref | GoogleScholarGoogle Scholar |

Sperry JS, Wang Y, Wolfe BT, Scott Mackay DS, Anderegg WRL, McDowell NG, Pockman WT (2016) Pragmatic hydraulic theory predicts stomatal responses to climatic water deficits. New Phytologist 212, 577–589.
Pragmatic hydraulic theory predicts stomatal responses to climatic water deficits.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28Xhs1GqsrjE&md5=3618fc03eddc48eee1ad06b31581041cCAS |

Spindel J, Begum H, Akdemir D, Virk P, Collard B, Redona E, Atlin G, Jannink J-L, McCouch SR (2015) Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines. PLOS Genetics 11, e1004982
Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines.Crossref | GoogleScholarGoogle Scholar |

Tambussi EA, Nogues S, Ferrio P, Voltas J, Araus JL (2005) Does higher yield potential improve barley performance in Mediterranean conditions? A case of study. Field Crops Research 91, 149–160.
Does higher yield potential improve barley performance in Mediterranean conditions? A case of study.Crossref | GoogleScholarGoogle Scholar |

Tanger P, Klassen S, Mojica JP, Lovell JT, Moyers BT, Baraoidan M, Naredo ME, McNally KL, Poland J, Bush DR, Leung H, Leach JE, McKay JK (2017) Field-based high throughput phenotyping rapidly identifies genomic regions controlling yield components in rice. Scientific Reports 7, 42839
Field-based high throughput phenotyping rapidly identifies genomic regions controlling yield components in rice.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2sXjtlygsLY%3D&md5=f147156462924d7ce255e93f0baf97e7CAS |

Tattaris M, Reynolds MP, Chapman SC (2016) A direct comparison of remote sensing approaches for high-throughput phenotyping in plant breeding. Frontiers in Plant Science 7, 1131
A direct comparison of remote sensing approaches for high-throughput phenotyping in plant breeding.Crossref | GoogleScholarGoogle Scholar |

Tester M, Langridge P (2010) Breeding technologies to increase crop production in a changing world. Science 327, 818–822.
Breeding technologies to increase crop production in a changing world.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhslWisLg%3D&md5=1a6f9460a08e7b3583dd9a70a8da39fcCAS |

Tilman D, Balzer C, Hill J, Befort BL (2011) Global food demand and the sustainable intensification of agriculture. Proceedings of the National Academy of Sciences of the United States of America 108, 20260–20264.
Global food demand and the sustainable intensification of agriculture.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhs1yqsbnM&md5=5b19becfcbfee43bc41678c268da88b6CAS |

Tiwari R, Sheoran S, Rane J (2014) Wheat improvement for drought and heat tolerance. In ‘Recent trends on production strategies of wheat in India’. (Eds RS Shukla, PC Mishra, R Chatrath, RK Gupta, SS Tomar, I Sharma) (Directorate of Wheat Research: Karnal, Haryana, India)

Trethowan RM, van Ginkel M, Rajaram S (2002) Progress in breeding wheat for yield and adaptation in global drought affected environments. Crop Science 42, 1441–1446.
Progress in breeding wheat for yield and adaptation in global drought affected environments.Crossref | GoogleScholarGoogle Scholar |

Tyerman SD, Niemietz CM, Bramley H (2002) Plant aquaporins, multi-functional water and solute channels with expanding roles. Plant, Cell & Environment 25, 173–194.
Plant aquaporins, multi-functional water and solute channels with expanding roles.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38Xhslaktbk%3D&md5=e1e8d6b2254f000d735d949f5482dbf1CAS |

Umezawa T, Fujita M, Fujita Y, Yamguchi-Shinozaki K, Shinozaki K (2006) Engineering drought tolerance in plants, discovering and tailoring genes to unlock the future. Current Opinion in Biotechnology 17, 113–122.
Engineering drought tolerance in plants, discovering and tailoring genes to unlock the future.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xjs1yit70%3D&md5=2f50db0241bb5bc458141f356cd52656CAS |

van Dijk AIJM, Beck HE, Crosbie RS, de Jeu RAM, Liu YY, Podger GM, Timbal B, Viney NR (2013) The Millennium drought in southeast Australia 2001–2009, natural and human causes and implications for water resources, ecosystems, economy and society. Water Resources Research 49, 1040–1057.
The Millennium drought in southeast Australia 2001–2009, natural and human causes and implications for water resources, ecosystems, economy and society.Crossref | GoogleScholarGoogle Scholar |

Vergara-Díaz O, Zaman-Allah MA, Masuka B, Hornero A, Zarco-Tejada P, Prasanna BM, Cairns JE, Araus JL (2016) A novel remote sensing approach for prediction of maize yield under different conditions of nitrogen fertilization. Frontiers in Plant Science 7, 666
A novel remote sensing approach for prediction of maize yield under different conditions of nitrogen fertilization.Crossref | GoogleScholarGoogle Scholar |

Walter A, Schurr U (2005) Dynamics of leaf and root growth–endogenous control versus environmental impact. Annals of Botany 95, 891–900.
Dynamics of leaf and root growth–endogenous control versus environmental impact.Crossref | GoogleScholarGoogle Scholar |

Wang J, Li Q, Mao X, Li A, Jing R (2016) Wheat transcription factor TaAREB3 participates in drought and freezing tolerances in Arabidopsis. International Journal of Biological Sciences 12, 257–269.
Wheat transcription factor TaAREB3 participates in drought and freezing tolerances in Arabidopsis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28XhsVyrsrjP&md5=e31de268498dd28cbd5c8f20f576609dCAS |

Wang L, Wang S, Chen W, Li H, Deng X (2017) Physiological mechanisms contributing to increased water-use efficiency in winter wheat under organic fertilization. PLoS One 12, e0180205
Physiological mechanisms contributing to increased water-use efficiency in winter wheat under organic fertilization.Crossref | GoogleScholarGoogle Scholar |

Wassmann R, Jagadish SVK, Sumfleth K, Pathak H, Howell G, Ismail A, Serraj R, Redoña E, Singh RK, Heuer S (2009) Regional vulnerability of climate change, impacts on Asian rice production and scope for adaptation. Advances in Agronomy 102, 91–133.
Regional vulnerability of climate change, impacts on Asian rice production and scope for adaptation.Crossref | GoogleScholarGoogle Scholar |

Watt M, Kirkegaard JA, Rebetzke GJ (2005) A wheat genotype developed for rapid leaf growth copes well with the physical and biological constraints of unploughed soil. Functional Plant Biology 32, 695–706.
A wheat genotype developed for rapid leaf growth copes well with the physical and biological constraints of unploughed soil.Crossref | GoogleScholarGoogle Scholar |

White JW, Andrade-Sanchez P, Gore MA, Bronson KF, Coffelt TA, Conley MM, Feldmann KA, French AN, Heun JT, Hunsaker DJ, Jenks MA, Kimball BA, Roth RL, Strand RJ, Thorp KR, Wall GW, Wang G (2012) Field-based phenomics for plant genetics research. Field Crops Research 133, 101–112.
Field-based phenomics for plant genetics research.Crossref | GoogleScholarGoogle Scholar |

Whitmore AP, Whalley WR (2009) Physical effects of soil drying on roots and crop growth. Journal of Experimental Botany 60, 2845–2857.
Physical effects of soil drying on roots and crop growth.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXosFWjtb8%3D&md5=0b2b1af1199f6dc0d79941dd6cd503a9CAS |

Xiao Y, Savchenko T, Baidoo EEK, Chehab WE, Hayden DM, Tolstikov V, Corwin JA, Kliebenstein DJ, Keasling JD, Dehesh K (2012) Retrograde signaling by the plastidial metabolite MEcPP regulates expression of nuclear stress-response genes. Cell 149, 1525–1535.
Retrograde signaling by the plastidial metabolite MEcPP regulates expression of nuclear stress-response genes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XptVKksb4%3D&md5=0db2e3a1d83f22e723c1d9e5bc0772caCAS |

Xu Y, This D, Pausch R, Vonhof W, Coburn J, Comstock JP, McCouch SR (2009) Leaf-level water use efficiency determined by carbon isotope discrimination in rice seedlings, genetic variation associated with population structure and QTL mapping. Theoretical and Applied Genetics 118, 1065–1081.
Leaf-level water use efficiency determined by carbon isotope discrimination in rice seedlings, genetic variation associated with population structure and QTL mapping.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXktFektrk%3D&md5=f54eeac4c717422ad28aeb4e8b5214c5CAS |

Xue GP, Way HM, Richardson T, Drenth J, Joyce PA, McIntyre CL (2011) Overexpression of TaNAC69 leads to enhanced transcript levels of stress up-regulated genes and dehydration tolerance in bread wheat. Molecular Plant 4, 697–712.
Overexpression of TaNAC69 leads to enhanced transcript levels of stress up-regulated genes and dehydration tolerance in bread wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXps1Orsrs%3D&md5=8d1694fe212bfc212ad6f785c4164449CAS |

Yang S, Vanderbeld B, Wan J, Huang Y (2010) Narrowing down the targets: towards successful genetic engineering of drought-tolerant crops. Molecular Plant 3, 469–490.
Narrowing down the targets: towards successful genetic engineering of drought-tolerant crops.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXmslWit7g%3D&md5=fa05ad2e88c219631c3cf0df3f1f28b5CAS |

Yin F, Gao J, Liu M, Qin C, Zhang W, Yang A, Xia M, Zhang Z, Shen Y, Lin H, Luo C, Pan G (2014) Genome-wide analysis of water-stress-responsive microRNA expression profile in tobacco roots. Functional & Integrative Genomics 14, 319–332.
Genome-wide analysis of water-stress-responsive microRNA expression profile in tobacco roots.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXksleltbw%3D&md5=dd13786446ee7b33858e3b22f8b5856eCAS |

Yue B, Xue W, Xiong L, Yu X, Luo L, Cui K, Jin D, Xing Y, Zhang Q (2006) Genetic basis of drought resistance at reproductive stage in rice: separation of drought tolerance from drought avoidance. Genetics 172, 1213–1228.
Genetic basis of drought resistance at reproductive stage in rice: separation of drought tolerance from drought avoidance.Crossref | GoogleScholarGoogle Scholar |

Zhang XH, Chen XQ, Wu ZY, Zhang XD, Huang CL, Cao MQ (2005) A dwarf wheat mutant is associated with increased drought resistance and altered responses to gravity. African Journal of Biotechnology 4, 1054–1057.

Zhao CX, Guo LY, Jaleel CA, Shao HB, Yang HB (2008) Prospectives for applying molecular and genetic methodology to improve wheat cultivars in drought environments. Comptes Rendus Biologies 331, 579–586.
Prospectives for applying molecular and genetic methodology to improve wheat cultivars in drought environments.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXotlOjtrs%3D&md5=9f7339f01bdc1bf1055a6e477b6a4e76CAS |

Zhao Y, Gowda M, Liu W, Würschum T, Maurer HP, Longin FH, Ranc N, Reif JC (2012) Accuracy of genomic selection in European maize elite breeding populations. Theoretical and Applied Genetics 124, 769–776.
Accuracy of genomic selection in European maize elite breeding populations.Crossref | GoogleScholarGoogle Scholar |

Zheng BS, Yang L, Zhang WP, Mao CZ, Wu YR, Yi KK, Liu FY, Wu P (2003) Mapping QTLs and candidate genes for rice root traits under different water-supply conditions and comparative analysis across three populations. Theoretical and Applied Genetics 107, 1505–1515.
Mapping QTLs and candidate genes for rice root traits under different water-supply conditions and comparative analysis across three populations.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXovVOhur4%3D&md5=0e1c959c8b202f9a4f3ce2bc41402cf9CAS |

Zivcak M, Kalaji HM, Shao HB, Olsovska K, Brestic M (2014) Photosynthetic proton and electron transport in wheat leaves under prolonged moderate drought stress. Journal of Photochemistry and Photobiology. B, Biology 137, 107–115.
Photosynthetic proton and electron transport in wheat leaves under prolonged moderate drought stress.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXitV2htrw%3D&md5=13daedef76c164266ba84811a21a0db4CAS |