Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-23T13:41:28.039Z Has data issue: false hasContentIssue false
  • English
  • Français

Variability for grain protein content among germplasm accessions and advanced breeding lines in dolichos bean (Lablab purpureus L. Sweet var. Lignosus Prain)

Published online by Cambridge University Press:  21 November 2018

Pranesh  and
S. Ramesh Open the ORCID record for S. Ramesh [Opens in a new window]
Pranesh
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences (UAS), Bengaluru 560 065, India
S. Ramesh*
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences (UAS), Bengaluru 560 065, India
*
*Corresponding author. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Protein energy malnutrition (PEM) is prevalent in south-east Asian countries including India. Breeding and introduction of grain protein-rich varieties of legumes such as dolichos bean is considered as cost-effective approach to combat PEM. Exploitation of genetic variability within germplasm accessions (GAs) and/or breeding populations is the short-term strategy for identification and delivery of protein-rich dolichos bean cultivars to cater to the immediate needs of the farmers and target population. A set of 118 dolichos bean genotypes consisting of 96 GAs and 20 advanced breeding lines (ABLs) and two released varieties (RVs) was field evaluated in augmented deign for dry grain yield per plant and their grain protein contents were estimated. The grain protein content among the genotypes ranged from 18.82 to 24.5% with a mean of 21.73%. The magnitude of estimates of absolute range, standardized range, and phenotypic coefficient of variation (PCV) for grain protein content was higher among GAs than those among ABLs + RVs. However, average grain protein contents of GAs were comparable to those of ABLs + RVs. Nearly 50% of the genotypes (mostly GAs) had significantly higher grain protein content than those of RVs, HA 3 and HA 4. The grain protein contents of the genotypes were poorly correlated with grain yield per plant. These results are discussed in relation to strategies to breed grain protein-rich dolichos bean cultivars.

Keywords

correlationdolichos beanproteinvariability
Type
Short Communication
Information
Plant Genetic Resources , Volume 17 , Issue 3 , June 2019 , pp. 289 - 292
Copyright
Copyright © NIAB 2018 

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

AOAC (2005) Official Method of Analysis, 18th edn. Washington, DC, USA: Association of Officiating Analytical Chemists, Method 935. 14 and 992.24.Google Scholar
Bliss, FA (1990) Genetic alteration of legume seed proteins. HortScience 25: 1517–1520.Google Scholar
Byre Gowda, M, Girish, G, Ramesh, S, Mahadevu, P and Keerthi, CM (2015) Descriptors of dolichos bean (Lablab purpureus L.). Journal of Food Legumes 28: 203–214.Google Scholar
Ewansiha, SS and Singh, BB (2006) Relative drought tolerance of important herbaceous legumes and cereals in the moist and semi-arid regions of West Africa. Journal of Food, Agriculture and Environment 4: 188–190.Google Scholar
Federer, WT (1956) Augmented (or hoonuiaku) designs. Hawaii. Plant Research 2: 191–208.Google Scholar
Fisher, RA (1950) Statistical Methods for Research Workers, 11th edn. London, UK: Oliver and Boyd.Google Scholar
Hussan, S, Khuroo, NS, Lone, AA, Dar, ZA, Dar, SA and Dar, MS (2018) Study of variability and association analysis for various agro-morphological traits in lentil (Lens culinaris L.). Journal of Pharmacognosy and Phytochemistry 7: 2172–2175.Google Scholar
Levene, H (1960) Robust test for equality of variances. In: Olkin, et al. (eds) Contributions to Probability and Statistics: Essays in Honour of Harold Hotteling. Stanford: Stanford University Press, pp. 278–292.Google Scholar
MacQueen, J (1967) Some methods for classification and analysis of multivariate observations. Fifth Berkeley Symposium on Mathematics, Statistics and Probability. University of California Press, pp. 281–297.Google Scholar
Magoon, ML, Amar Singh, and Mehra, KL (1974) Improved field bean for dryland forage. Indian Farming 24: 5–7.Google Scholar
Monika, G, Natasha, S, Saloni, S, Payal, K, Aman, K, Venkatesh, C and Priya, A (2018) Biofortified crops generated by breeding, agronomy, and transgenic approaches are improving lives of millions of people around the world. Frontiers of Nutrition 5: 1–33.Google Scholar
Mugwira, LM and Haque, I (1993) Screening forage and browse legumes germplasm to nutrient stress: II. Tolerance of Lablab purpureus L. to acidity and low prosperous in two acid soils. Journal of Plant Nutrition 16: 37–50.Google Scholar
Murphy, AM and Colucci, PE (1999) A tropical forage solution to poor quality ruminant diets: a review of Lablab purpureus. Livestock Research and Rural Development 11: 96–113.Google Scholar
Ramesh, S and Byregowda, M (2016) Dolichos bean (Lablab purpureus L. Sweet var. Lignosus) genetics and breeding – present status and future prospects. Mysore Journal of Agricultural Sciences 50: 481–500.Google Scholar
Ravelombola, WS, Shi, A, Weng, Y, Motes, D, Chen, P, Srivastava, V and Wingfield, C (2016) Evaluation of total seed protein content in eleven arkansa cowpea (Vigna unguiculata (L.) Walp) lines. American Journal of Plant Sciences 7: 2288–2296.Google Scholar
Singh, Y, Sharma, S, Sekhon, BS, Sharma, S, Verma, A and Vishalakshi, A (2017) Association studies for seed yield and related morpho-physiological traits in faba bean (Vicia faba L.) under mid hill conditions of north western Himalayas, India. International Journal of Current Microbiology and Applied Science 6: 2417–2422.Google Scholar
Welch, RM and Graham, RD (2004) Breeding for micronutrients in staple food crops from a human nutrition perspective. Journal of Experimental Botany 55: 353–364.Google Scholar
Weng, Y, Shi, A, Revelomba, WS, Yang, W, Qin, J, Motes, D, Moseley, DC and Chen, P (2017) A rapid method for measuring seed protein content in cowpea (Vigna unguiculata (L.) Walp). American Journal of Plant Sciences 8: 2387–2396.Google Scholar
Supplementary material: File

Pranesh and Ramesh supplementary material

Pranesh and Ramesh supplementary material 1

Download Pranesh and Ramesh supplementary material(File)
File 284.6 KB