Hostname: page-component-76fb5796d-vvkck Total loading time: 0 Render date: 2024-04-25T15:46:10.741Z Has data issue: false hasContentIssue false
  • English
  • Français

Identification of gaps in pearl millet germplasm from Asia conserved at the ICRISAT genebank

Published online by Cambridge University Press:  30 November 2010

H. D. Upadhyaya ,
K. N. Reddy ,
M. Irshad Ahmed  and
C. L. L. Gowda
H. D. Upadhyaya*
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genetic Resources, Crop Improvement, Patancheru, Andhra Pradesh502 324, India
K. N. Reddy
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genetic Resources, Crop Improvement, Patancheru, Andhra Pradesh502 324, India
M. Irshad Ahmed
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genetic Resources, Crop Improvement, Patancheru, Andhra Pradesh502 324, India
C. L. L. Gowda
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genetic Resources, Crop Improvement, Patancheru, Andhra Pradesh502 324, India
*
*Corresponding author. E-mail: h.upadhyaya@cgiar.org
Get access Rights & Permissions [Opens in a new window]

Abstract

The International Crops Research Institute for the Semi-Arid Tropics (1CRISAT) genebank in India holds the world's largest collection of 21,594 pearl millet germplasm accessions from 50 countries including 6529 landraces from ten Asian countries. Gap analysis using passport and characterization data and geographical information system tools revealed 134 distinct districts of 14 provinces in India and 12 districts of Punjab province in Pakistan as the major geographical gaps. Different methods of identifying geographical gaps used in the study indicated Chittoor, Karimnagar, Nizamabad, Prakasam and Warangal in Andhra Pradesh; Raigarh in Chattisgarh; Dewas and Rewa in Madhya Pradesh; Buldana and Hingoli in Maharashtra; Malkangiri, Nabarangapur, Naupada and Sundergarh in Orissa; Bhilwara, Chittaurgarh and Kota in Rajasthan; Thiruvallur and Vellore in Tamil Nadu; and Auraiya, Chandauli, Chitrakoot, Gonda, Gorakhpur, Hamirpur, Kushinagar, Mau, Shrawasti and Sonbhadra in Uttar Pradesh as common geographical gaps in India. A total of 208 distinct districts in 12 provinces were identified as gaps in diversity for one or more traits. Among all districts, Beed, Latur and Osmanabad in Maharashtra, India, for all traits; Rajanpur, Muzaffargarh, Multan and Lodhran for panicle length and Chakwal and Sargodha for panicle width in Pakistan; and southern parts of North Yemen and Lahiz provinces in Yemen were identified as gaps in the diversity. In India, Warangal in Andhra Pradesh; Rewa in Madhya Pradesh; Hingoli in Maharashtra; Vellore in Tamil Nadu; and Auraiya, Chandauli, Chitrakut, Gorakhpur and Mau in Uttar Pradesh were identified as gaps in diversity for one or more traits and found common to geographical gaps identified. In Pakistan, Lodhran, Multan and Muzaffargarh were identified as gaps common to probability and diversity methods. Area for exploration should be decided prior to launch of the collection mission in consultation with local government officials and extension officers, who are known to have knowledge in pearl millet cultivation in the identified districts. It is suggested to collect the complete passport data including georeference information while collecting the germplasm.

Keywords

diversityexplorationgenetic resourcesgeographical gap
Type
Research Article
Information
Plant Genetic Resources , Volume 8 , Issue 3 , December 2010 , pp. 267 - 276
Copyright
Copyright © NIAB 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Appa Rao, S, Mukred, AW, Mengesha, MH, Amer, HM, Reddy, KN, Alsurai, A and Saeed, MA (1993) Collecting Crops Germplasm in Yemen. Progress Report 72. Patancheru: Genetic Resources Unit, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT).Google Scholar
Bureau of Economics and Statistics (2003) Governments of respective states in India.Google Scholar
Eurasia Landcover characteristics database version 2.0 (2008) Global Land cover characterization project, USGS-EROS. Available at http://edc2.usgs.gov/glcc/eadoc2_0.php.Google Scholar
Food and Agriculture Organization of the United Nations (2007) Adaptation to Climate Change in Agriculture, Forestry and Fisheries: Perspective Framework and Priorities. Rome: FAO.Google Scholar
Food and Agriculture Organization of the United Nations (2008) Climate Change and Biodiversity for Food and Agriculture. Rome: FAO.Google Scholar
Harlan, JR, de Wet, JMJ and Stemler, ABL (1975) Plant domestication and indigenous African Agriculture. In: Harlan, JR, de Wet, JMJ and Stemler, ABL (eds) Origins of African Domestication. The Hague: Mouton Publishers, pp. 1–9.Google Scholar
Hijmans, Robert J, Gaurino, L and Rojas, E (2005) DIVA-GIS, Version 5.0. A Geographic Information System for the Analysis of Biodiversity Data. Manual. Lima: International Potato Center.Google Scholar
IBPGR and ICRISAT (1993) Descriptors for pearl millet [Pennisetum glaucum (L.) R.Br.]. Rome/Patancheru: IBPGR/ICRISAT, p. 43.Google Scholar
Jarvis, A, Lane, A and Hijmans Robert, J (2008) The effect of climate change on crop wild relatives. Agriculture, Ecosystems and Environment, 126(1): 13–23 .CrossRefGoogle Scholar
Jones, PG and Gladkov, A (1999) In: Jones, Annie L and CD-ROM series (eds) FloraMap: A Computer Tool for Predicting the Distribution of Plants and Other Organisms in the Wild. Version 1. Cali, Colombia: Centro Internacional de Agricultura Tropical (CIAT).Google Scholar
Lane, A, Jarvis, A and Atta-Krah, K (2007) The impact of climate change on crops and crop areas and the role of agricultural biodiversity in adaptation. International Symposium on Climate Change, 22–24 November 2007, ICRISAT, Patancheru, India. SAT ejournal/ejournal.ICRISAT.org. Volume 4(1).Google Scholar
Marilia, Lobo Burle, Celia Maria, Torres Cordeiro, Jaime, Roberto Fonseca, de Melo, M Palhares, de Belem das Neves Alves, Rosa and Abadie, Tabare (2003) Characterization of germplasm according to environmental conditions at the collecting site using GIS – two case studies from Brazil. Plant Genetic Resources Newsletter 135: 1–11.Google Scholar
MS EncartaR Interactive World Atlas (2000) 1995–1999 Microsoft Corporation. Redmond, WA: One Microsoft way.Google Scholar
Narsimha Reddy, , Kameshwara Rao, and Irshad Ahmed, (2004) Geographical patterns of diversity in pearl millet germplasm from Yemen. Genetic Resources and Crop Evolution 51: 513–517.CrossRefGoogle Scholar
Prasada Rao, KE and Abdulla, HA (1986) Sorghum germplasm from the Yemen Arab Republic. Sorghum Newsletter 29: 8–10.Google Scholar
Shannon, CE and Weaver, W (1949) The Mathematical Theory of Communication. Urbana: University of Illinois Press.Google Scholar
Singh, SD and Navi, SS (2000) Genetic resistance to pearl millet downy mildew II. Resistance in wild relatives. Journal of Mycology and Plant Pathology 30: 167–171.Google Scholar
Upadhyaya, HD and Gowda, CLL (2009) Managing and Enhancing the Use of Germplasm – Strategies and Methodologies. Technical Manual No. 10. Patancheru: International Crops Research Institute for the Semi-Arid Tropics, p. 236.Google Scholar
Weltzien, E and Bhatti, MS (1989) Pearl Millet Germplasm Collection in Central Pakistan. Progress Report 60. Patancheru: Genetic Resources Unit, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT).Google Scholar