Hostname: page-component-76fb5796d-9pm4c Total loading time: 0 Render date: 2024-04-26T16:09:48.234Z Has data issue: false hasContentIssue false
  • English
  • Français

A strategy to identify potential germplasm for improving yield attributes using diversity analysis in sorghum

Published online by Cambridge University Press:  25 June 2008

C. Aruna  and
S. Audilakshmi
C. Aruna*
Affiliation:
National Research Centre for Sorghum, Rajendranagar, Hyderabad500 030, India
S. Audilakshmi
Affiliation:
National Research Centre for Sorghum, Rajendranagar, Hyderabad500 030, India
*
*Corresponding author. Email aruna@nrcsorghum.res.in
Get access Rights & Permissions [Opens in a new window]

Abstract

The potential yield levels of sorghum, an important crop in the semi-arid regions of the world, are stagnating due to the narrow genetic base of the genotypes utilized in the sorghum improvement programmes worldwide. For utilization of genetic diversity in any crop, adequate genetic characterization of relevant germplasm is a prerequisite. Therefore, we attempted to identify the potential germplasm lines for improvement of yield in a set of 135 germplasm lines belonging to different races. The experiment was carried out in an augmented design during 2002, and in Randomized complete block design (RCBD) for selected lines during 2003. The correlation studies indicated that besides panicle weight, the number of grains/unit length of primary branch and the number of secondary branches/primary branch had significant positive relation with grain yield. IS nos 1259, 5447, 5725 and 2036 were promising for more than one yield component. The study indicated that besides caudatum race, the lines belonging to guinea, kafir and inter-races with them are good sources for different yield components. Genetic diversity and cluster analysis grouped 40 germplasm lines into eight clusters, with maximum inter-cluster distance between clusters II and III. Utilization of the germplasm lines belonging to different clusters in improving yield components is discussed.

Keywords

augmented designcorrelation coefficientsgenetic diversitySorghum bicolor (L.) Moenchsorghum racesyield components
Type
Research Article
Information
Plant Genetic Resources , Volume 6 , Issue 3 , December 2008 , pp. 187 - 194
Copyright
Copyright © NIAB 2008

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

Al-jibouri, HA, Miller, PA and Robinson, HF (1958) Genotypic and environmental variances and covariances in an upland cotton cross of interspecific origin. Agronomy Journal 50: 633–636.CrossRefGoogle Scholar
Amurrio, JM, De Ron, AM and Escribano, MR (1993) Evaluation of Pisum sativum landraces from the Northwest of Iberian Peninsula and their breeding value. Euphytica 66: 1–10.CrossRefGoogle Scholar
Appa Rao, S, Prasada Rao, KE, Mengesha, MH and Gopal Reddy, V (1996) Morphological diversity in sorghum germplasm from India. Genetic Resources and Crop Evolution 43: 559–567.CrossRefGoogle Scholar
Audilakshmi, S, Aruna, C and Kiran, VVS (2003) Utilization of germplasm for improvement of varieties in India. In: Report of the AICSIP Coordinating Team, 2002–03. AICSIP Annual Meeting of the Sorghum Group, 1–3 April, held at Sorghum Research Station (GAU), Athwa Farm, Surat, Gujarat, pp. 47–53..Google Scholar
Ayana, A and Bekele, E (2000) Geographical patterns of morphological variation in sorghum (Sorghum bicolor (L.) Moench) germplasm from Ethiopia and Eritrea: quantitative characters. Euphytica 115: 91–104.CrossRefGoogle Scholar
Bekele, E (1984) Analysis of regional patterns of phenotypic diversity in the Ethiopian tetraploid and hexaploid wheats. Hereditas 100: 131–154.CrossRefGoogle Scholar
FAO (2004) Production Year Book. Rome, Italy: FAO.Google Scholar
Federer, WT (1961) Augmented designs with one-way elimination of heterogeneity. Biometrics 17: 447–473.CrossRefGoogle Scholar
Giriraj, K and Goud, JV (1983) Association of yield components and developmental traits in grain sorghum. Indian Journal of Agricultural Science 53: 5–8.Google Scholar
Harlan, JR and De Wet, JMJ (1972) A simplified classification of sorghum. Crop Science 12: 172–176.CrossRefGoogle Scholar
House, LR (1995) Sorghum: one of the world's great cereals. African Crop Science of Journal 3: 135–142.Google Scholar
Mahalanobis, PC (1930) On the test and measure of group divergence. Proceedings of Asiatic Society of Bengal 26: 541–548.Google Scholar
Mahalanobis, PC (1936) On the generalized distance in statistics. Proceedings of Natural Institute of Sciences, India (B) 2: 49–55.Google Scholar
Miller, F, Muller, N, Monk, R, Murthy, DS and Obilana, AB (1996) Breeding photoperiod insensitive sorghums for adaptation and yield. In: Proceedings of the International Conference on Genetic Improvement of Sorghum and Pearl Millet, Lubbock, TX, pp. 59–65..Google Scholar
Muppidathi, N, Paramasivan, K, Rajarathinam, S, Sivasamy, N and Sevagaperumal, S (1999) Character association and path analysis in grain sorghum (Sorghum bicolor (L.) Moench). Madras Agricultural Journal 86: 400–402.Google Scholar
Rana, JC, Yadav, SK, Mandal, S and Sangeeta, Yadav (2005) Genetic divergence and interrelationship analysis in grain amaranthus (Amaranthus hypochondriacus) germplasm. Indian Journal of Genetics 65: 99–102.Google Scholar
Rao, CR (1952) Advanced Statistical Methods in Biometrical Research. John Wiley and Sons Inc, New York.Google Scholar
Rao, CR (1964) The use and interpretation of principal analysis in applied research. Sankhya 22: 317–318.Google Scholar
Reddy, BVS and Prasada Rao, KE (1993) Varietal improvement: genetic diversification. Cereals program, ICRISAT Annual Report 1992. ICRISAT, Patancheru, AP. 502 324, India, pp. 48–51..Google Scholar
Reddy, BVS and Rao, NGP (1971) Genetic analysis of some exotic × Indian crosses in sorghum V. Character association and response to selection in advanced generation progenies. Indian Journal of Genetics 31: 510–520.Google Scholar
Rohman, MM, Hakim, MA, Sultana, NA, Kabi, ME, Hasanuzzan, M and Ali, M (2004) Genetic divergence analysis in sorghum (Sorghum bicolor L.). Asian Journal of Plant Sciences 3: 211–214.CrossRefGoogle Scholar
Singh, RP and Baghel, SS (1977) Yield components and their implication to selection in sorghum. Indian Journal of Genetics 37: 62–67.Google Scholar
Singh, SS, Sharma, DN, Nank, Chand and Sharma, JB (2003) Registration of a new wheat plant type, DL 1266-5. Indian Journal of Genetics 63(2): 192.Google Scholar
Slafer, GA and Andrade, FH (1991) Changes in physiological attributes of the dry matter economy of bread wheat (Triticum aestivum) through genetic improvement of grain yield potential at different regions of the world. Euphytica 58(1): 37–49.CrossRefGoogle Scholar
Thorpe, RS (1976) Biochemical analysis of geographical variation and racial affinities. Biological Reviews 51: 407–452.CrossRefGoogle Scholar
Upadhyaya, HD, Gowda, CLL, Buhariwalla, HK and Crouch, JH (2006) Efficient use of crop germplasm resources: identifying useful germplasm for crop improvement through core and mini-core collections and molecular marker approaches. Plant Generic Resources 4: 25–35.CrossRefGoogle Scholar
Veerabadhiran, P and Kennedy, VJF (2001) Correlation and path analysis studies in selected germplasm of sorghum. Madras Agricultural Journal 88: 309–310.Google Scholar
Windostat (2004) Indostat services. Hyderabad, India..Google Scholar
Supplementary material: File

Aruna and Audilakshmi supplementary material

Supplementary tables

Download Aruna and Audilakshmi supplementary material(File)
File 184.8 KB