Breeding for Abiotic Stress Adaptation in Chickpea (<i>Cicer arietinum</i> L.): A Comprehensive Review-Crop Breeding, Genetics and Genomics-CSCIED科技核心评价数据库-手机版

Breeding for Abiotic Stress Adaptation in Chickpea (Cicer arietinum L.): A Comprehensive Review

Breeding for Abiotic Stress Adaptation in Chickpea (Cicer arietinum L.): A Comprehensive Review

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DOI	10.20900/cbgg20200015
刊名	Crop Breeding, Genetics and Genomics CBGG
年，卷(期)	2020, 2(4)
作者	Lancelot Maphosa,Mark F. Richards,Sally L. Norton,Giao N. Nguyen*,
作者单位	NSW Department of Primary Industries, PMB Pine Gully Road, Wagga Wagga, NSW 2650, Australia ; Australian Grains Genebank, Agriculture Victoria Research, 110 Natimuk Road, Horsham, Victoria 3400, Australia ;
Abstract	Chickpea is an important legume crop, providing a protein rich diet for humans and animal feed. Globally, chickpea is grown in over 56 countries, occupying a production area of approximately 17.8 million ha. The crop is grown mainly in arid and semi-arid regions under rainfed conditions, where it is highly vulnerable to abiotic stresses such as heat, frost and drought at various growth stages during the season. Severe yield losses due to abiotic stresses have been recorded, especially when the crop is exposed to adverse conditions during the reproductive phase, causing instability in chickpea production worldwide. Breeding for tolerant chickpea that is widely adaptable to various growth conditions and diverse growing regions is the best strategic approach but requires a fine-tuned combination of advanced phenotyping and genotyping methods. However, breeding and selection of suitable chickpea genotypes is complicated by its narrow genetic base which limits the sources of novel alleles, and its indeterminate growth habit that at times allows it to recover, flower, set pods and yield following stressful events if subsequent conditions are favorable. This manuscript provides an insight into common abiotic stresses affecting chickpea production worldwide with an emphasis on heat, frost and drought. We will elaborate on breeding approaches and application of advanced genotyping and phenotyping tools commonly used to develop tolerant chickpea varieties. Finally, key crop tolerance traits that can be easily screened for by using genotypic and phenotypic technologies will be discussed.
KeyWord	adaptation; genomic selection; high-throughput phenotyping; phenomic selection; genebank phenomics; quantitative trait locus
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参考文献
相关文献

1.Singh R, Sharma P, Varshney RK, Sharma SK, Singh NK. Chickpea improvement: role of wild species and genetic markers. Biotechnol Genet Eng Rev. 2008;25(1):267-314.

2.Sajja SB, Samineni S, Gaur PM. Botany of Chickpea. In: Varshney RK, Thudi M, Muehlbauer F, editors. The Chickpea Genome. Cham (Switzerland): Springer; 2017. p. 13-24.

3.Varshney RK, Song C, Saxena RK, Azam S, Yu S, Sharpe AG, et al. Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvement. Nat Biotechnol. 2013;31(3):240-6.

4.Food and Agriculture Organization of the United Nations. FAOSTAT. Available at: http://www.fao.org/faostat/en/#data/QC. Accessed 17 Feb 2020.

5.Gaur PM, Samineni S, Thudi M, Tripathi S, Sajja SB, Jayalakshmi V, et al. Integrated breeding approaches for improving drought and heat adaptation in chickpea (Cicer arietinum L.). Plant Breed. 2019;138(4):389-400.

6.Purushothaman R, Upadhyaya HD, Gaur PM, Gowda CLL, Krishnamurthy L. Kabuli and desi chickpeas differ in their requirement for reproductive duration. Field Crops Res. 2014;163:24-31.

7.Jukanti AK, Gaur PM, Gowda CLL, Chibbar RN. Nutritional quality and health benefits of chickpea (Cicer arietinum L.): a review. Br J Nutr. 2012;108(S1):S11-26.

8.Unkovich M, Baldock J, Peoples M. Prospects and problems of simple linear models for estimating symbiotic N2 fixation by crop and pasture legumes. Plant Soil. 2010;329(1-2):75-89.

9.Kaloki P, Devasirvatham V, Tan DK. Chickpea abiotic stresses: combating drought, heat and cold. In: De Oliveira A, editor. Abiotic and Biotic Stress in Plants. London (UK): IntechOpen; 2019.

10.Samineni S, Kamatam S, Thudi M, Varshney RK, Gaur PM. Vernalization response in chickpea is controlled by a major QTL. Euphytica. 2016;207(2):453-61.

11.Varshney RK, Thudi M, Nayak SN, Gaur PM, Kashiwagi J, Krishnamurthy L, et al. Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.). Theor Appl Genet 2014;127(2):445-62.

12.Paul PJ, Samineni S, Thudi M, Sajja SB, Rathore A, Das RR, et al. Molecular mapping of QTLs for heat tolerance in chickpea. Int J Mol Sci. 2018;19(8):2166.

13.Roorkiwal M, Jain A, Kale SM, Doddamani D, Chitikineni A, Thudi M, et al. Development and evaluation of high-density Axiom®CicerSNP Array for high-resolution genetic mapping and breeding applications in chickpea. Plant Biotechnol J. 2018;16(4):890-901.

14.Ridge S, Deokar A, Lee R, Daba K, Macknight RC, Weller JL, et al. The chickpea Early Flowering 1 (Efl1) locus is an ortholog of Arabidopsis ELF3. Plant Physiol. 2017;175(2):802-15.

15.Jaganathan D, Thudi M, Kale S, Azam S, Roorkiwal M, Gaur PM, et al. Genotyping-by-sequencing based intra-specific genetic map refines a “QTL-hotspot” region for drought tolerance in chickpea. Mol Genet Genomic. 2015;290(2):559-71.

16.Ojiewo C, Monyo E, Desmae H, Boukar O, Mukankusi-Mugisha C, Thudi M, et al. Genomics, genetics and breeding of tropical legumes for better livelihoods of smallholder farmers. Plant Breed. 2019;138(4):487-99.

17.Wood JA, Knights EJ, Harden S, Hobson KB. Seed quality and the effect of introducing Cicer echinospermum to improve disease and pest resistance in desi chickpea. Legume Science. 2019;1(1):e22.

18.Kumar J, Choudhary AK, Gupta DS, Kumar S. Towards exploitation of adaptive traits for climate-resilient smart pulses. Int J Mol Sci. 2019;20(12):2971.

19.Zhang H, Mittal N, Leamy LJ, Barazani O, Song B-H. Back into the wild—Apply untapped genetic diversity of wild relatives for crop improvement. Evol Appl. 2017;10(1):5-24.

20.Gaur PM, Mallikarjuna N, Knights T, Beebe S, Debouck D, Mejía A, et al. Gene introgression in grain legumes. In: Gupta S, Ali M, Singh BB, editors. Grain Legumes: Genetic Improvement, Management and Trade. Kanpur (India): Indian Society of Pulses Research and Development IIPR; 2010. p. 1-17.

21.Bailey-Serres J, Parker JE, Ainsworth EA, Oldroyd GED, Schroeder JI. Genetic strategies for improving crop yields. Nature. 2019;575(7781):109-18.

22.Berger JD, Ali M, Basu PS, Chaudhary BD, Chaturvedi SK, Deshmukh PS, et al. Genotype by environment studies demonstrate the critical role of phenology in adaptation of chickpea (Cicer arietinum L.) to high and low yielding environments of India. Field Crops Res. 2006;98(2):230-44.

23.Berger JD, Turner NC, Siddique KHM, Knights EJ, Brinsmead RB, Mock I, et al. Genotype by environment studies across Australia reveal the importance of phenology for chickpea (Cicer arietinum L.) improvement. Aust J Agric Res. 2004;55(10):1071-84.

24.Jha UC, Chaturvedi SK, Bohra A, Basu PS, Khan MS, Barh D, et al. Abiotic stresses, constraints and improvement strategies in chickpea. Plant Breed. 2014;133(2):163-78.

25.Parent B, Bonneau J, Maphosa L, Kovalchuk A, Langridge P, Fleury D. Quantifying wheat sensitivities to environmental constraints to dissect genotype × environment interactions in the field. Plant Physiol. 2017;174(3):1669-82.

26.Bueckert RA, Clarke JM. Review: Annual crop adaptation to abiotic stress on the Canadian prairies: Six case studies. Can J Plant Sci. 2013;93(3):375-85.

27.Shunmugam AS, Kannan U, Jiang Y, Daba KA, Gorim LY. Physiology based approaches for breeding of next-generation food legumes. Plants. 2018;7(3):72.

28.Lake L, Sadras VO. The critical period for yield determination in chickpea (Cicer arietinum L.). Field Crops Res. 2014;168:1-7.

29.Devasirvatham V, Gaur PM, Raju TN, Trethowan RM, Tan DKY. Field response of chickpea (Cicer arietinum L.) to high temperature. Field Crops Res. 2015;172:59-71.

30.Jumrani K, Bhatia VS. Impact of elevated temperatures on growth and yield of chickpea (Cicer arietinum L.). Field Crops Res. 2014;164:90-7.

31.Kaushal N, Awasthi R, Gupta K, Gaur P, Siddique KHM, Nayyar H. Heat-stress-induced reproductive failures in chickpea (Cicer arietinum) are associated with impaired sucrose metabolism in leaves and anthers. Funct Plant Biol. 2013;40(12):1334-49.

32.Devasirvatham V, Gaur PM, Mallikarjuna N, Raju TN, Trethowan RM, Tan DKY. Reproductive biology of chickpea response to heat stress in the field is associated with the performance in controlled environments. Field Crops Res. 2013;142:9-19.

33.Devasirvatham V, Tan DKY, Gaur PM, Raju TN, Trethowan RM. High temperature tolerance in chickpea and its implications for plant improvement. Crop Pasture Sci. 2012;63(5):419-28.

34.Berger JD, Kumar S, Nayyar H, Street KA, Sandhu JS, Henzell JM, et al. Temperature-stratified screening of chickpea (Cicer arietinum L.) genetic resource collections reveals very limited reproductive chilling tolerance compared to its annual wild relatives. Field Crops Res. 2012;126:119-29.

35.Clarke HJ, Siddique KHM. Response of chickpea genotypes to low temperature stress during reproductive development. Field Crops Res. 2004;90(2):323-34.

36.Kumar S, Nayyar H, Bhanwara RK, Upadhyaya HD. Chilling stress effects on reproductive biology of chickpea. J SAT Agric Res. 2010;8:1-14.

37.Kumar S, Malik J, Thakur P, Kaistha S, Sharma KD, Upadhyaya HD, et al. Growth and metabolic responses of contrasting chickpea (Cicer arietinum L.) genotypes to chilling stress at reproductive phase. Acta Physiol Plant. 2011;33(3):779-87.

38.Nayyar H, Kaur G, Kumar S, Upadhyaya HD. Low temperature effects during seed filling on chickpea genotypes (Cicer arietinum L.): probing mechanisms affecting seed reserves and yield. J Agron Crop Sci. 2007;193(5):336-44.

39.Yadav SK. Cold stress tolerance mechanisms in plants. A review. Agron Sustain Dev. 2010;30(3):515-27.

40.Whish JPM, Castor P, Carberry PS. Managing production constraints to the reliability of chickpea (Cicer arietinum L.) within marginal areas of the northern grains region of Australia. Aust J Agric Res. 2007;58(5):396-405.

41.Croser JS, Clarke HJ, Siddique KHM, Khan TN. Low-temperature stress: implications for chickpea (Cicer arietinum L.) improvement. Crit Rev Plant Sci. 2003;22(2):185-219.

42.Ramamoorthy P, Lakshmanan K, Upadhyaya HD, Vadez V, Varshney RK. Shoot traits and their relevance in terminal drought tolerance of chickpea (Cicer arietinum L.). Field Crops Res. 2016;197:10-27.

43.Ramamoorthy P, Lakshmanan K, Upadhyaya HD, Vadez V, Varshney RK. Root traits confer grain yield advantages under terminal drought in chickpea (Cicer arietinum L.). Field Crops Res. 2017;201:146-61.

44.Pang J, Turner NC, Khan T, Du YL, Xiong JL, Colmer TD, et al. Response of chickpea (Cicer arietinum L.) to terminal drought: leaf stomatal conductance, pod abscisic acid concentration, and seed set. J Exp Bot 2017;68(8):1973-85.

45.Pushpavalli R, Zaman-Allah M, Turner NC, Baddam R, Rao MV, Vadez V. Higher flower and seed number leads to higher yield under water stress conditions imposed during reproduction in chickpea. Funct Plant Biol. 2015;42(2):162-74.

46.Paul PJ, Samineni S, Sajja SB, Rathore A, Das RR, Chaturvedi SK, et al. Capturing genetic variability and selection of traits for heat tolerance in a chickpea recombinant inbred line (RIL) population under field conditions. Euphytica. 2018;214(2):27.

47.Devasirvatham V, Gaur PM, Mallikarjuna N, Tokachichu RN, Trethowan RM, Tan DKY. Effect of high temperature on the reproductive development of chickpea genotypes under controlled environments. Funct Plant Biol. 2012;39(12):1009-18.

48.Fischer RA. Understanding the physiological basis of yield potential in wheat. J Agric Sci. 2007;145(2):99-113.

49.Sundaram P, Samineni S, Sajja SB, Roy C, Singh SP, Joshi P, et al. Inheritance and relationships of flowering time and seed size in kabuli chickpea. Euphytica. 2019;215(9):144.

50.Vance WH, Bell RW, Johansen C, Haque ME, Musa AM, Shahidullah AKM, et al. Optimum time of sowing for rainfed winter chickpea with one-pass mechanised row-sowing: an example for small-holder farms in north-west Bangladesh. Crop Pasture Sci. 2014;65(7):602-13.

51.Choudhary AK, Sultana R, Vales MI, Saxena KB, Kumar RR, Ratnakumar P. Integrated physiological and molecular approaches to improvement of abiotic stress tolerance in two pulse crops of the semi-arid tropics. Crop J. 2018;6(2):99-114.

52.Rebetzke GJ, Botwright TL, Moore CS, Richards RA, Condon AG. Genotypic variation in specific leaf area for genetic improvement of early vigour in wheat. Field Crops Res. 2004;88(2):179-89.

53.Farooq M, Hussain M, Nawaz A, Lee DJ, Alghamdi SS, Siddique KHM. Seed priming improves chilling tolerance in chickpea by modulating germination metabolism, trehalose accumulation and carbon assimilation. Plant Physiol Biochem. 2017;111:274-83.

54.Clarke HJ, Khan TN, Siddique KHM. Pollen selection for chilling tolerance at hybridisation leads to improved chickpea cultivars. Euphytica. 2004;139(1):65-74.

55.Kashiwagi J, Krishnamurthy L, Purushothaman R, Upadhyaya HD, Gaur PM, Gowda CLL, et al. Scope for improvement of yield under drought through the root traits in chickpea (Cicer arietinum L.). Field Crops Res. 2015;170:47-54.

56.Kashiwagi J, Krishnamurthy L, Gaur PM, Upadhyaya HD, Varshney RK, Tobita S. Traits of relevance to improve yield under terminal drought stress in chickpea (C. arietinum L.). Field Crops Res. 2013;145:88-95.

57.Rebetzke G, Condon A, Richards R, Farquhar G. Selection for reduced carbon-isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat. Crop Sci. 2002;42:739-45.

58.Reynolds M, Langridge P. Physiological breeding. Curr Opin Plant Biol. 2016;31:162-71.

59.Reynolds M, Tattaris M, Cossani CM, Ellis M, Yamaguchi-Shinozaki K, Pierre CS. Exploring genetic resources to increase adaptation of wheat to climate change. In: Ogihara Y, Takumi S, Handa H, editors. Advances in Wheat Genetics: From Genome to Field. Tokyo (Japan): Springer Japan; 2015. p. 355-68.

60.Gaur P, Kumar J, Gowda CLL, Pande S, Siddique K, Khan TN, et al. Breeding chickpea for early phenology: perspectives, progress and prospects. In: Kharkwal M, editor. The Fourth International Food Legumes Research Conference. New Delhi (India): Indian Society of Genetics and Plant Breeding; 2008. p. 38-48.

61.Ortiz R, Trethowan R, Ferrara GO, Iwanaga M, Dodds JH, Crouch JH, et al. High yield potential, shuttle breeding, genetic diversity, and a new international wheat improvement strategy. Euphytica. 2007;157(3):365-84.

62.Samineni S, Sen M, Sajja SB, Gaur PM. Rapid generation advance (RGA) in chickpea to produce up to seven generations per year and enable speed breeding. Crop J. 2010:8(1):164-9.

63.Watson A, Ghosh S, Williams MJ, Cuddy WS, Simmonds J, Rey M-D, et al. Speed breeding is a powerful tool to accelerate crop research and breeding. Nat Plants. 2018;4(1):23-9.

64.Ghosh S, Watson A, Gonzalez-Navarro OE, Ramirez-Gonzalez RH, Yanes L, Mendoza-Suárez M, et al. Speed breeding in growth chambers and glasshouses for crop breeding and model plant research. Nat Protoc. 2018;13(12):2944-63.

65.Coyne CJ, Kumar S, von Wettberg EJB, Marques E, Berger JD, Redden RJ, et al. Potential and limits of exploitation of crop wild relatives for pea, lentil, and chickpea improvement. Legume Sci. 2020;2(2):e36.

66.Sharma S, Upadhyaya HD, Varshney RK, Gowda CLL. Pre-breeding for diversification of primary gene pool and genetic enhancement of grain legumes. Front Plant Sci. 2013;4:309.

67.Croser JS, Ahmad F, Clarke HJ, Siddique KHM. Utilisation of wild Cicer in chickpea improvement—progress, constraints, and prospects. Aust J Agric Res. 2003;54(5):429-44.

68.Chaturvedi S, Nadarajan N. Genetic enhancement for grain yield in chickpea–accomplishments and resetting research agenda. Electron J Plant Breed. 2010;1(4):611-5.

69.Gorim LY, Vandenberg A. Evaluation of wild lentil species as genetic resources to improve drought tolerance in cultivated lentil. Front Plant Sci. 2017;8:1129-.

70.Kashiwagi J, Krishnamurthy L, Upadhyaya HD, Krishna H, Chandra S, Vadez V, et al. Genetic variability of drought-avoidance root traits in the mini-core germplasm collection of chickpea (Cicer arietinum L.). Euphytica. 2005;146(3):213-22.

71.Krishnamurthy L, Turner NC, Gaur PM, Upadhyaya HD, Varshney RK, Siddique KHM, et al. Consistent variation across soil types in salinity resistance of a diverse range of chickpea (Cicer arietinum L.) genotypes. J Agron Crop Sci. 2011;197(3):214-27.

72.Chaturvedi S, Mishra D, Vyas P, Mishra N. Breeding for cold tolerance in chickpea. Trends Biosci. 2009;2(2):1-4.

73.McCouch SR, McNally KL, Wang W, Sackville HR. Genomics of gene banks: A case study in rice. Am J Bot. 2012;99(2):407-23.

74.von Wettberg EJB, Chang PL, Başdemir F, Carrasquila-Garcia N, Korbu LB, Moenga SM, et al. Ecology and genomics of an important crop wild relative as a prelude to agricultural innovation. Nat Commun. 2018;9(1):649.

75.Kozlov K, Singh A, Berger J, Bishop-von Wettberg E, Kahraman A, Aydogan A, et al. Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors. BMC Plant Biol. 2019;19(2):94.

76.Nguyen GN, Norton SL. Genebank phenomics: a strategic approach to enhance value and utilization of crop germplasm. Plants. 2020;9(7):817.

77.Talip M, Adak A, Kahraman A, Berger J, Sari D, Sari H, et al. Agro-morphological traits of Cicer reticulatum Ladizinsky in comparison to C. echinospermum P.H. Davis in terms of potential to improve cultivated chickpea (C. arietinum L.). Genet Resour Crop Evol. 2018;65(3):951-62.

78.Toker C. Preliminary screening and selection for cold tolerance in annual wild Cicer species. Genet Resour Crop Evol. 2005;52(1):1-5.

79.Toker C, Canci H, Yildirim T. Evaluation of perennial wild Cicer species for drought resistance. Genet Resour Crop Evol. 2007;54(8):1781-6.

80.Chaturvedi S, Singh N, Gaur P, Varshney R, Mishra N, editors. New challenges in breeding chickpea under changing climate. In: National conference on Pulses: Challenges & Opportunities under Changing Climatic Scenario. Jabalpur (India): Indian Society of Pulses Research and Development; 2014.

81.Quan W, Liu X, Wang H, Chan Z. Comparative physiological and transcriptional analyses of two contrasting drought tolerant Alfalfa varieties. Front Plant Sci. 2016;6:1256.

82.Gupta P, Kumar J, Mir R, Kumar A. Marker-assisted selection as a component of conventional plant breeding. Plant Breed Rev. 2010;33:145-217.

83.Varshney RK, Dubey A. Novel genomic tools and modern genetic and breeding approaches for crop improvement. J Plant Biochem Biot. 2009;18(2):127-38.

84.Kumar J, van Rheenen HA. A major gene for time of flowering in chickpea. J Hered. 2000;91(1):67-8.

85.Or E, Hovav R, Abbo S. A major gene for flowering time in chickpea. Crop Sci. 1999;39:315-22.

86.Hegde VS. Genetics of flowering time in chickpea in a semi-arid environment. Plant Breed. 2010;129(6):683-7.

87.Gaur PM, Samineni S, Tripathi S, Varshney RK, Gowda CLL. Allelic relationships of flowering time genes in chickpea. Euphytica. 2015;203(2):295-308.

88.Daba K, Deokar A, Banniza S, Warkentin TD, Tar’an B. QTL mapping of early flowering and resistance to ascochyta blight in chickpea. Genome. 2016;59(6):413-25.

89.Mallikarjuna BP, Samineni S, Thudi M, Sajja SB, Khan AW, Patil A, et al. Molecular mapping of flowering time major genes and QTLs in chickpea (Cicer arietinum L.). Front Plant Sci. 2017;8:1140.

90.Lichtenzveig J, Bonfil DJ, Zhang HB, Shtienberg D, Abbo S. Mapping quantitative trait loci in chickpea associated with time to flowering and resistance to Didymella rabiei the causal agent of Ascochyta blight. Theor Appl Genet 2006;113(7):1357-69.

91.Serraj R, Krishnamurthy L, Kashiwagi J, Kumar J, Chandra S, Crouch JH. Variation in root traits of chickpea (Cicer arietinum L.) grown under terminal drought. Field Crops Res. 2004;88(2):115-27.

92.Thudi M, Upadhyaya HD, Rathore A, Gaur PM, Krishnamurthy L, Roorkiwal M, et al. Genetic dissection of drought and heat tolerance in chickpea through genome-wide and candidate gene-based association mapping approaches. PLoS One. 2014;9(5):e96758.

93.Mugabe D, Coyne CJ, Piaskowski J, Zheng P, Ma Y, Landry E, et al. Quantitative trait loci for cold tolerance in chickpea. Crop Sci. 2019;59(2):573-82.

94.Fischer RA. Wheat physiology: a review of recent developments. Crop Pasture Sci. 2011;62(2):95-114.

95.Rollins JA, Drosse B, Mulki MA, Grando S, Baum M, Singh M, et al. Variation at the vernalisation genes Vrn-H1 and Vrn-H2 determines growth and yield stability in barley (Hordeum vulgare) grown under dryland conditions in Syria. Theor Appl Genet. 2013;126(11):2803-24.

96.Abbo S, Lev-Yadun S, Galwey N. Vernalization response of wild chickpea. New Phytol. 2002;154(3):695-701.

97.Bassi FM, Bentley AR, Charmet G, Ortiz R, Crossa J. Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.). Plant Sci. 2016;242:23-36.

98.Kumar S, Bink MCAM, Volz RK, Bus VGM, Chagné D. Towards genomic selection in apple (Malus × domestica Borkh.) breeding programmes: prospects, challenges and strategies. Tree Genet Genomes. 2012;8(1):1-14.

99.Meuwissen TH, Hayes BJ, Goddard ME. Prediction of total genetic value using genome-wide dense marker maps. Genetics. 2001;157(4):1819-29.

100.Biswas D, Coulman B, Biligetu B, Fu Y-B. Advancing bromegrass breeding through imaging phenotyping and genomic selection: a review. Front Plant Sci. 2020;10:1673.

101.Cooper M. Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction. Crop Pasture Sci. 2014;65:311.

102.Langridge P, Reynolds MP. Genomic tools to assist breeding for drought tolerance. Curr Opin Biotechnol. 2015;32:130-5.

103.Fu Y-B, Yang M-H, Zeng F, Biligetu B. Searching for an accurate marker-based prediction of an individual quantitative trait in molecular plant breeding. Front Plant Sci. 2017;8:1182.

104.Hayes BJ, Cogan NOI, Pembleton LW, Goddard ME, Wang J, Spangenberg GC, et al. Prospects for genomic selection in forage plant species. Plant Breed. 2013;132(2):133-43.

105.Baral K, Coulman B, Biligetu B, Fu YB. Genotyping-by-sequencing enhances genetic diversity analysis of crested wheatgrass
[Agropyron cristatum (L.) Gaertn.]. Int J Mol Sci. 2018;19(9):2587.
[Agropyron cristatum (L">PubMed/NCBI
[Agropyron cristatum (L&author=Baral K">Google Scholar

106.Rehman A, Malhotra R, Bett K, Tar'an B, Bueckert R, Warkentin T. Mapping QTL associated with traits affecting grain yield in chickpea ( L.) under terminal drought stress. Crop Sci. 2011;51:450-63.

107.Deokar AA, Tar'an B. Genome-wide analysis of the aquaporin gene family in chickpea (Cicer arietinum L.). Front Plant Sci. 2016;7:1802.

108.Deokar AA, Kondawar V, Kohli D, Aslam M, Jain PK, Karuppayil SM, et al. The CarERF genes in chickpea (Cicer arietinum L.) and the identification of CarERF116 as abiotic stress responsive transcription factor. Funct Integr Genomics. 2015;15(1):27-46.

109.Mahdavi Mashaki K, Garg V, Nasrollahnezhad Ghomi AA, Kudapa H, Chitikineni A, Zaynali Nezhad K, et al. RNA-Seq analysis revealed genes associated with drought stress response in kabuli chickpea (Cicer arietinum L.). PLoS One. 2018;13(6):e0199774.

110.Gu H, Jia Y, Wang X, Chen Q, Shi S, Ma L, et al. Identification and characterization of a LEA family gene CarLEA4 from chickpea (Cicer arietinum L.). Mol Biol Rep. 2012;39(4):3565-72.

111.Bernardo R. Molecular markers and selection for complex traits in plants: learning from the last 20 years. Crop Sci. 2008;48(5):1649-64.

112.Reynolds M, Manes Y, Izanloo A, Langridge P. Phenotyping approaches for physiological breeding and gene discovery in wheat. Ann Appl Biol. 2009;155(3):309-20.

113.Reynolds M, Trethowan R. Physiological interventions in breeding for adaptation to abiotic stress. In: Spiertz JHJ, Struik PC, Laar HHV, editors. Scale and Complexity in Plant Systems Research: Gene-Plant-Crop Relations. Wageningen (The Netherlands): Frontis, Wageningen University and Research; 2007. p. 129-46.

114.Borrell AK, van Oosterom EJ, Mullet JE, George-Jaeggli B, Jordan DR, Klein PE, et al. Stay-green alleles individually enhance grain yield in sorghum under drought by modifying canopy development and water uptake patterns. New Phytol. 2014;203(3):817-30.

115.Furbank RT, Tester M. Phenomics—technologies to relieve the phenotyping bottleneck. Trends Plant Sci. 2011;16(12):635-44.

116.Tardieu F, Cabrera-Bosquet L, Pridmore T, Bennett M. Plant phenomics, from sensors to knowledge. Curr Biol. 2017;27(15):R770-83.

117.Homolová L, Malenovský Z, Clevers JGPW, García-Santos G, Schaepman ME. Review of optical-based remote sensing for plant trait mapping. Ecol Complex. 2013;15(Sup C):1-16.

118.Nguyen GN, Kant S. Improving nitrogen use efficiency in plants: effective phenotyping in conjunction with agronomic and genetic approaches. Funct Plant Biol. 2018;45(6):606-19.

119.Dreccer MF, Barnes LR, Meder R. Quantitative dynamics of stem water soluble carbohydrates in wheat can be monitored in the field using hyperspectral reflectance. Field Crops Res. 2014;159:70-80.

120.Nguyen GN, Panozzo J, Spangenberg G, Kant S. Phenotyping approaches to evaluate nitrogen-use efficiency related traits of diverse wheat varieties under field conditions. Crop Pasture Sci. 2016;67(11):1139-48.

121.Nguyen GN, Norton SL, Rosewarne GM, James LE, Slater AT. Automated phenotyping for early vigour of field pea seedlings in controlled environment by colour imaging technology. PLoS One. 2018;13(11):e0207788.

122.Di Gennaro SF, Rizza F, Badeck FW, Berton A, Delbono S, Gioli B, et al. UAV-based high-throughput phenotyping to discriminate barley vigour with visible and near-infrared vegetation indices. Int J Remote Sens. 2018;39(15-16):5330-44.

123.Blancon J, Dutartre D, Tixier M-H, Weiss M, Comar A, Praud S, et al. A High-throughput model-assisted method for phenotyping maize green leaf area index dynamics using unmanned aerial vehicle imagery. Front Plant Sci. 2019;10:685.

124.Krause MR, González-Pérez L, Crossa J, Pérez-Rodríguez P, Montesinos-López O, Singh RP, et al. Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat. G3: Genes Genom Genet. 2019;9(4):1231-47.

125.Zhang L, Niu Y, Zhang H, Han W, Li G, Tang J, et al. Maize canopy temperature extracted from UAV thermal and RGB imagery and its application in water stress monitoring. Front Plant Sci. 2019;10:1270.

126.Jimenez-Berni JA, Deery DM, Rozas-Larraondo P, Condon AG, Rebetzke GJ, James RA, et al. High throughput determination of plant height, ground cover, and above-ground biomass in wheat with LiDAR. Front Plant Sci. 2018;9:237.

127.Sivasakthi K, Thudi M, Tharanya M, Kale SM, Kholová J, Halime MH, et al. Plant vigour QTLs co-map with an earlier reported QTL hotspot for drought tolerance while water saving QTLs map in other regions of the chickpea genome. BMC Plant Biol. 2018;18(1):29.

128.Araus JL, Cairns JE. Field high-throughput phenotyping: the new crop breeding frontier. Trends Plant Sci. 2014;19(1):52-61.

129.Atieno J, Li Y, Langridge P, Dowling K, Brien C, Berger B, et al. Exploring genetic variation for salinity tolerance in chickpea using image-based phenotyping. Sci Rep. 2017;7(1):1300.

130.Lake L, Sadras VO. Screening chickpea for adaptation to water stress: associations between yield and crop growth rate. Eur J Agron. 2016;81:86-91.

131.Furbank RT, Jimenez-Berni JA, George-Jaeggli B, Potgieter AB, Deery DM. Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops. New Phytol. 2019;223(4):1714-27.

132.Mir RR, Zaman-Allah M, Sreenivasulu N, Trethowan R, Varshney RK. Integrated genomics, physiology and breeding approaches for improving drought tolerance in crops. Theor Appl Genet. 2012;125(4):625-45.

133.Reynolds M, Chapman S, Crespo-Herrera L, Molero G, Mondal S, Pequeno DNL, et al. Breeder friendly phenotyping. Plant Sci. 2020;295:110396.

134.Sadras VO, Lake L, Li Y, Farquharson EA, Sutton T. Phenotypic plasticity and its genetic regulation for yield, nitrogen fixation and d13C in chickpea crops under varying water regimes. J Exp Bot. 2016;67(14):4339-51.

135.Wu G, Miller ND, de Leon N, Kaeppler SM, Spalding EP. Predicting Zea mays flowering time, yield, and kernel dimensions by analyzing aerial images. Front Plant Sci. 2019;10:1251.

136.Sadeghi-Tehran P, Sabermanesh K, Virlet N, Hawkesford MJ. Automated method to determine two critical growth stages of wheat: heading and flowering. Front Plant Sci. 2017;8:252.

137.Guo W, Fukatsu T, Ninomiya S. Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images. Plant Methods. 2015;11(1):7.

138.Kipp S, Mistele B, Baresel P, Schmidhalter U. High-throughput phenotyping early plant vigour of winter wheat. Eur J Agron. 2014;52:271-8.

139.Deery DM, Rebetzke GJ, Jimenez-Berni JA, Bovill WD, James RA, Condon AG, et al. Evaluation of the phenotypic repeatability of canopy temperature in wheat using continuous-terrestrial and airborne measurements. Front Plant Sci. 2019;10:875.

140.Nagel KA, Putz A, Gilmer F, Heinz K, Fischbach A, Pfeifer J, et al. GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons. Funct Plant Biol. 2012;39(11):891-904.

141.Avramova V, Nagel KA, AbdElgawad H, Bustos D, DuPlessis M, Fiorani F, et al. Screening for drought tolerance of maize hybrids by multi-scale analysis of root and shoot traits at the seedling stage. J Exp Bot. 2016;67(8):2453-66.

142.Metzner R, Eggert A, van Dusschoten D, Pflugfelder D, Gerth S, Schurr U, et al. Direct comparison of MRI and X-ray CT technologies for 3D imaging of root systems in soil: potential and challenges for root trait quantification. Plant Methods. 2015;11(1):17.

143.Sadras VO, Mahadevan M, Zwer PK. Stay-green associates with low water soluble carbohydrates at flowering in oat. Field Crops Res. 2019;230:132-8.

144.Hassan M, Yang M, Rasheed A, Jin X, Xia X, Xiao Y, et al. Time-series multispectral indices from unmanned aerial vehicle imagery reveal senescence rate in bread wheat. Remote Sens. 2018;10(6):809.

145.Cai J, Okamoto M, Atieno J, Sutton T, Li Y, Miklavcic SJ. Quantifying the onset and progression of plant senescence by color image analysis for high throughput applications. PLoS One. 2016;11(6):e0157102.

146.Costa CM, Yang S. Counting pollen grains using readily available, free image processing and analysis software. Ann Bot. 2009;104(5):1005-10.

147.Tello J, Montemayor MI, Forneck A, Ibáñez J. A new image-based tool for the high throughput phenotyping of pollen viability: evaluation of inter- and intra-cultivar diversity in grapevine. Plant Methods. 2018;14(1):3.

148.Fu P, Meacham-Hensold K, Guan K, Bernacchi CJ. Hyperspectral leaf reflectance as proxy for

引用本文

Lancelot Maphosa,Mark F. Richards,Sally L. Norton,Giao N. Nguyen*. Breeding for Abiotic Stress Adaptation in Chickpea (Cicer arietinum L.): A Comprehensive Review, Crop Breeding, Genetics and Genomics. 2020; 2; (4). https://doi.org/10.20900/cbgg20200015.

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