Variation for qualitative and quantitative traits and identification of trait-specific sources in new sorghum germplasm
H. D. Upadhyaya A B , Shivali Sharma A , B. Ramulu A , Ranjana Bhattacharjee A , C. L. L. Gowda A , V. Gopal Reddy A and Sube Singh AA International Crops Research Institute for the Semi Arid Tropics (ICRISAT), Patancheru, Hyderabad, PO 502324, Andhra Pradesh, India.
B Corresponding author. Email: h.upadhyaya@cgiar.org
Crop and Pasture Science 61(8) 609-618 https://doi.org/10.1071/CP10089
Submitted: 9 March 2010 Accepted: 28 June 2010 Published: 13 August 2010
Abstract
Assembling, collecting and characterising the unique germplasm accessions for morphological and agronomic characteristics are essential activities of a dynamic genebank. The phenotypic diversity and agronomic performance of 667 newly acquired sorghum germplasm accessions, representing five basic races, eight intermediate races and two wild species, originating from 34 countries were assessed for seven qualitative and eight quantitative traits. Large variability was observed among these accessions for various qualitative and quantitative traits. Trait-specific accessions for early flowering (108), short plant height (8), medium panicle exsertion (34), and medium-sized seeds (78) have been identified. The diverse trait-specific promising accessions have the potential for their utilisation in future breeding programs for developing improved sorghum cultivars with a broad genetic base. The hierarchical cluster analysis grouped five races, six intermediate races, and two wild species into three clusters. The present study has played a significant role in filling up the gaps and has also identified region(s) to carry out future explorations, and in providing the trait-specific germplasm for use by the breeders.
Additional keywords: agronomic, diversity, morphological, principal component analysis, sorghum, trait-specific accessions.
Audilakshmi S,
Stenhouse JW,
Reddy TP, Prasad MVR
(1999) Grain mold resistance and associated characters of sorghum genotypes. Euphytica 107, 91–103.
| Crossref | GoogleScholarGoogle Scholar |
de Wet JMJ
(1978) Systematics and evolution of sorghum, Sect. Sorghum (Gramineae). American Journal of Botany 65, 477–484.
| Crossref | GoogleScholarGoogle Scholar |
Halward TM, Wynne JC
(1991) Generation means analysis for productivity in two diverse peanut crosses. Theoretical and Applied Genetics 82, 784–792.
| Crossref | GoogleScholarGoogle Scholar |
Harlan JR, de Wet JMJ
(1972) A simple classification of cultivated sorghum. Crop Science 12, 172–176.
| Crossref |
Johns MA,
Skroch PW,
Nienhuis J,
Hinrichson P,
Bascur G, Munoz-Schick C
(1997) Gene pool classification of common bean landraces from Chile based on RAPD and morphological data. Crop Science 37, 605–613.
| Crossref |
Keuls M
(1952) The use of the Studentized range in connection with an analysis of variance. Euphytica 1, 112–122.
| Crossref | GoogleScholarGoogle Scholar |
Melake-Berhan A,
Butler LG,
Ejeta G, Menkir A
(1996) Grain mold resistance and polyphenol accumulation in sorghum. Journal of Agricultural and Food Chemistry 44, 2428–2434.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Newman D
(1939) The distribution of range in sample from a normal population expressed in terms of an independent estimate of standard deviation. Biometrika 31, 20–30.
Upadhyaya HD
(2005) Variability for drought resistance related traits in the mini core collection of peanut. Crop Science 45, 1432–1440.
| Crossref |
Ward J
(1963) Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 38, 80–83.