Abstract
This chapter describes the ways and means of utilizing the different types of plant germplasm using traditional and trendy phenotyping procedures and how to incorporate the selected germplasm accessions into the molecular breeding program. Detailed step-by-step procedure of rice germplasm characterization is given as a case study. Besides, this chapter also focuses on basic considerations of allele mining and other advanced approaches in allele mining such as insertional mutagenesis, TILLING, Eco-TILLING, and Self-EcoTILLING as well as troubleshooting measures to overcome the challenges faced in allele mining. Later part of this chapter deals with different software available for genetic diversity analysis and statistical methods to be followed while using molecular markers for selecting appropriate parents for mapping population development. Finally, the use of DNA barcoding approaches in germplasm characterization and in other areas of agriculture is also outlined in this chapter.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Literature Cited
Arnot DE et al (1993) Digital codes from hypervariable tandemly repeated DNA sequences in the Plasmodium falciparum circumsporozoite gene can genetically barcode isolates. Mol Biochem Parasitol 61:15–24
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. Theor Appl Genet 126:867–887
Comai L, Young K, Till BJ et al (2004) Efficient discovery of DNA polymorphisms in natural populations by Ecotilling. Plant J 37:778–786
Hebert PDN et al (2003) Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species. Proc Biol Sci 270:S96–S99
Hua et al (2019) Perspectives on the application of genome-editing technologies in crop breeding. Mol Plant. https://doi.org/10.1016/j.molp.2019.06.009
Johal GS, Balint-Kurti P, Weil CF (2008) Mining and harnessing natural variation: a little MAGIC. Crop Sci 48:2066–2073
Labate JA (2000) Software for population genetic analysis of molecular marker data. Crop Sci 40:1521–1528
Leung et al (2015) Allele mining and enhanced genetic recombination for rice breeding. Rice 8:34
Mohammadi SA, Prasanna BM (2003) Analysis of genetic diversity in crop plants – salient statistical tools and considerations. Crop Sci 43:1235–1248
Prasanna BM, Vasal SK, Kassahun B, Singh NN (2001) Quality protein maize. Curr Sci 81:1308–1319
Raghavan C, Naredo MEB, Wang H, Atienza G, Liu B, Qiu F et al (2007) Rapid method for detecting SNPs on agarose gels and its application in candidate gene mapping. Mol Breed 19:87–101
Rubio M, Nicolaï M, Caranta C, Palloix A (2009) Allele mining in the pepper gene pool provided new complementation effects between pvr2-eIF4E and pvr6-eIF (iso) 4E alleles for resistance to pepper veinal mottle virus. J Gen Virol 90(11):2808–2814
Shi W, Yang Y, Chen S, Xu M (2008) Discovery of a new fragrance allele and the development of functional markers for the breeding of fragrant rice varieties. Mol Breed 22:185–192
Tracy WF (1997) History, genetics and breeding of super sweet (shrunken2) sweet corn. Plant Breed Rev 14:189–236
Wang GX, Imaizumi T, Li W, Saitoh H, Terauchi R, Ohsako T, Tominaga T (2008) Self-EcoTILLING to identify single-nucleotide mutations in multigene family. Pestic Biochem Physiol 92(1):24–29
Zhao C, Zhang Y, Du J, Guo X, Wen W, Gu S, Wang J, Fan J (2019) Crop Phenomics: current status and perspectives. Front Plant Sci 10:714
Further Reading
Alpert P (2006) Constraints of tolerance: why are desiccation-tolerant organisms so small or rare? J Exp Biol 209:1575–1584
Araus JL, Slafer GA, Royo C, Serret MD (2008) Breeding for yield potential and stress adaptation in cereals. Crit Rev Plant Sci 27:377–412
Baker FWG (ed) (1989) Drought resistance in cereals. CAB Publishing, Wallingford, 222 pp
Bhullar NK, Zhang Z, Wicker T, Keller B (2010) Wheat gene bank accessions as a source of new alleles of the powdery mildew resistance gene Pm3: a large scale allele mining project. BMC Plant Biol 10:88
Blum A (2011) Plant breeding for water-limited environments. Springer, New York
Boyer JS, Westgate ME (2004) Grain yields with limited water. J Exp Bot 55:2385–2394
Ceccarelli S, Grando S (1996) Drought as a challenge for the plant breeder. Plant Growth Regul 20:149–155
Chaves MM, Oliveira MM (2004) Mechanisms underlying plant resilience to water deficits: prospects for water-saving agriculture. J Exp Bot 55:2365–2384
Farooq M, Wahid A, Kobayashi N, Fujita D, Basra SMA (2009) Plant drought stress: effects, mechanisms and management. Agron Sustain Dev 29:185–212
Fischer KS, Lafitte R, Fukai S, Atlin G, Hardy B (2003) Breeding rice for drought prone environments. The International Rice Research Institute, Los Baños, 98 pp
Fukai S, Cooper M (1995) Development of drought-resistant cultivars using physiomorphological traits in rice. Field Crop Res 40:67–86
Kamoshita A, Babu RC, Boopathi NM, Fukai S (2008) Phenotypic and genotypic analysis of drought-resistance traits for development of rice cultivars adapted to rainfed environments. Field Crop Res 109:1–23
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 Crop Res 107:221–231
Lafitte HR, Li ZK, Vijayakumar CHM, Gao YM, Shi Y, Xu JL, Fu BY, Ali AJ, Domingo J, Maghirang R, Torres R, Mackill D (2006) Improvement of rice drought tolerance through backcross breeding: evaluation of donors and selection in drought nurseries. Field Crop Res 97:77–86
Mackill DJ (2006) Breeding for resistance to abiotic stresses in rice: the value of quantitative trait loci. In: Lamkey KR, Lee M (eds) Plant breeding: the Arnel R. Hallauer international symposium. Blackwell Publishing, Ames, pp 201–212
Monneveux P, Ribaut JM (eds) (2011) Drought phenotyping in crops: from theory to practice. Available at Generation Challenge Program website www.generationcp.org
Morison JIL, Baker NR, Mullineaux PM, Davies WJ (2008) Improving water use in crop production. Philos Trans R Soc B Biol Sci 363:639–658
Nguyen HT, Babu RC, Blum A (1997) Breeding for drought resistance in rice: physiology and molecular genetics considerations. Crop Sci 37:1426–1434
Passioura JB (2007) The drought environment: physical, biological and agricultural perspectives. J Exp Bot 58:113–117
Reynolds M, Tuberosa R (2008) Translational research impacting on crop productivity in drought-prone environments. Curr Opin Plant Biol 11:171–179
Ribaut JM (ed) (2006) Drought adaptation in cereals. The Haworth Press, Inc, Binghamton/New York, 642 pp
Richards RA (2008) Genetic opportunities to improve cereal root systems for dryland agriculture. Plant Prod Sci 11:12–16
Tuberosa R, Salvi S (2007) Dissecting QTLs for tolerance to drought and salinity. In: Jenks MA, Hasegawa PM, Jain M (eds) Advances in molecular breeding toward drought and salt tolerant crops. Springer, Dordrecht, pp 381–411
Author information
Authors and Affiliations
Critical Thinking Questions
Critical Thinking Questions
-
1.
Why is it important to identify genetically diverse parents for genetic mapping of quantitative traits?
-
2.
Genetic diversity analysis using dominant and co-dominant markers should be cautiously interpreted. Justify.
-
3.
How can the results of DNA barcoding be integrated in the genetic mapping process?
-
4.
Offer your views on using allele mining and promoter mining to genetically improve the crop for novel traits
-
5.
Which one of the following has more impact on plant breeding: natural populations or man-made populations?
-
6.
How to integrate different trends in phenomics in plant breeding program?
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Boopathi, N.M. (2020). Germplasm Characterization: Utilizing the Underexploited Resources. In: Genetic Mapping and Marker Assisted Selection. Springer, Singapore. https://doi.org/10.1007/978-981-15-2949-8_2
Download citation
DOI: https://doi.org/10.1007/978-981-15-2949-8_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-2948-1
Online ISBN: 978-981-15-2949-8
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)