Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-10T08:28:12.380Z Has data issue: false hasContentIssue false

Predicting the frequency of transgressive RILs and minimum population size required for their recovery in horse gram (Macrotyloma uniflorum (Lam.) Verdc)

Published online by Cambridge University Press:  12 May 2022

B. R. Chandana*
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India
S. Ramesh
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India
R. Kirankumar
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India
G. Basanagouda
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India
*
Author for correspondence: B. R. Chandana, E-mail: chandanargowda6@gmail.com

Abstract

Early elimination of poor crosses based on an objective criterion allows increased allocation of resources only to a few promising crosses for identifying superior recombinant inbred lines (RILs) for use as pure-line cultivars in self-pollinated crops. Early generation (F2:3) prediction of frequency of superior RILs that could be derived from advanced generations of crosses is one such criterion. We predicted the frequency of transgressive RILs from two horse gram crosses (namely HPKM 320 × CRIDA18-R and IC 361290 × Palem 1) for primary branches per plant, pods per plant, pod weight per plant and grain weight per plant based on mid parental value, additive genetic effects and additive genetic variance estimated from trait means of parents, and their F2 and F2:3 generations. The predicted frequency of RILs that transgressed better parent/two checks varied with the cross and the trait within a cross. The frequencies of transgressive RILs predicted from IC 361290 × Palem 1 were higher than those predicted from HPKM 320 × CRIDA 18-R for three of the four traits. As expected, the minimum population size required to recover the transgressive RILs predicted from IC 361290 × Palem 1 was relatively smaller than that from IC 361290 × Palem 1. Increased allocation of resources for handling segregating populations derived from IC 361290 × Palem 1 is expected to result in superior RILs for use as cultivars. We believe that the objective criterion used in our study is handy in identifying superior RILs in early segregating populations derived from a few promising crosses.

Type
Short Communication
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of NIAB

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

Bernardo, R (2020) Breeding for Quantitative Traits in Plants, 3rd Edn. Woodbury, Minnesota, USA: Stemma Press.Google Scholar
Bhartiya, A, Aditya, JP and Kant, L (2015) Nutritional and remedial potential of an underutilized food legume horse gram (Macrotyloma uniflorum): a review. Journal of Animal and Plant Sciences 25, 908920.Google Scholar
Halder, S, Datta, AK, Mandal, A and Ghosh, BK (2012) Macrotyloma uniflorum (Lam.) Verdc. (Leguminosae) – a note on chromosomal studies. Cytologia 77, 447451.CrossRefGoogle Scholar
Jinks, JL and Pooni, HS (1976) Predicting the properties of recombinant inbred lines derived by single seed descent. Heredity 36, 253266.CrossRefGoogle Scholar
Jinks, JL and Pooni, HS (1980) Comparing predictions mean performance and environmental sensitivity of recombinant inbred lines based upon F3 and triple test cross families. Heredity 36, 253266.CrossRefGoogle Scholar
Kearsey, MJ and Pooni, HS (1996) The Genetical Analysis of Quantitative Traits, 1st Edn. London: Chapman and Hall.CrossRefGoogle Scholar
van Ooijen, JW (1989) Estimation of additive genotypic variance with the F3 of autogamous crops. Heredity 63, 781.CrossRefGoogle Scholar
Witcombe, JR, Gyawali, S, Subedi, M, Virk, DS and Joshi, KD (2013) Plant breeding can be made more efficient by having fewer, better crosses. BMC Plant Biology 13, 22. http://www.biomedcentral.com/1471-2229/13/22.CrossRefGoogle ScholarPubMed
Supplementary material: File

Chandana et al. supplementary material

Chandana et al. supplementary material

Download Chandana et al. supplementary material(File)
File 22.5 KB