title: Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
abstract: Genomic selection (GS) unlike marker-assisted backcrossing (MABC) predicts breeding values of lines using genome-wide marker profiling and allows selection of lines prior to field-phenotyping, thereby shortening the breeding cycle. A collection of 320 elite breeding lines was selected and phenotyped extensively for yield and yield related traits at two different locations (Delhi and Patancheru, India) during the crop seasons 2011-12 and 2012-13 under rainfed and irrigated conditions. In parallel, these lines were also genotyped using DArTseq platform to generate genotyping data for 3000 polymorphic markers. Phenotyping and genotyping data were used with six statistical GS models to estimate the prediction accuracies. GS models were tested for four yield related traitsviz. seed yield, 100 seed weight, days to 50% flowering and days to maturity. Prediction accuracy for the models tested varied from 0.138 (seed yield) to 0.912 (100 seed weight), whereas performance of models did not show any significant difference for estimating prediction accuracy within traits. Kinship matrix calculated using genotyping data reaffirmed existence of two different groups within selected lines. There was not much effect of population structure on prediction accuracy. In brief, present study establishes the necessary resources for deployment of GS in chickpea breeding.
authors.affiliation: Research Program-Grain Legumes, International Crops Research Institute for the Semi-Arid Tropics Hyderabad, India.
authors.forename: Manish
authors.initials: M
authors.lastname: Roorkiwal
authors.affiliation: Research Program-Grain Legumes, International Crops Research Institute for the Semi-Arid Tropics Hyderabad, India.
authors.forename: Abhishek
authors.initials: A
authors.lastname: Rathore
authors.affiliation: Research Program-Grain Legumes, International Crops Research Institute for the Semi-Arid Tropics Hyderabad, India.
authors.forename: Roma R
authors.initials: RR
authors.lastname: Das
authors.affiliation: Research Program-Grain Legumes, International Crops Research Institute for the Semi-Arid Tropics Hyderabad, India.
authors.forename: Muneendra K
authors.initials: MK
authors.lastname: Singh
authors.affiliation: Research Program-Grain Legumes, International Crops Research Institute for the Semi-Arid Tropics Hyderabad, India.
authors.forename: Ankit
authors.initials: A
authors.lastname: Jain
authors.affiliation: Research Program-Grain Legumes, International Crops Research Institute for the Semi-Arid Tropics Hyderabad, India.
authors.forename: Samineni
authors.initials: S
authors.lastname: Srinivasan
authors.affiliation: Research Program-Grain Legumes, International Crops Research Institute for the Semi-Arid Tropics Hyderabad, India.
authors.forename: Pooran M
authors.initials: PM
authors.lastname: Gaur
authors.affiliation: Division of Genetics, Indian Agricultural Research Institute Delhi, India.
authors.forename: Bharadwaj
authors.initials: B
authors.lastname: Chellapilla
authors.affiliation: Division of Genetics, Indian Agricultural Research Institute Delhi, India.
authors.forename: Shailesh
authors.initials: S
authors.lastname: Tripathi
authors.affiliation: Australian Centre for Plant Functional Genomics, University of Adelaide Adelaide, SA, Australia.
authors.forename: Yongle
authors.initials: Y
authors.lastname: Li
authors.affiliation: The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh Easter Bush, UK.
authors.forename: John M
authors.initials: JM
authors.lastname: Hickey
authors.affiliation: Department of Agronomy and Horticulture, University of Nebraska Lincoln, OR, USA.
authors.forename: Aaron
authors.initials: A
authors.lastname: Lorenz
authors.affiliation: Australian Centre for Plant Functional Genomics, University of AdelaideAdelaide, SA, Australia; Crop Improvement, South Australian Research and Development InstituteUrrbrae, SA, Australia.
authors.forename: Tim
authors.initials: T
authors.lastname: Sutton
authors.affiliation: International Maize and Wheat Improvement Center Mexico, Mexico.
authors.forename: Jose
authors.initials: J
authors.lastname: Crossa
authors.affiliation: School of Integrative Plant Science, Cornell University Ithaca, NY, USA.
authors.forename: Jean-Luc
authors.initials: JL
authors.lastname: Jannink
authors.affiliation: Research Program-Grain Legumes, International Crops Research Institute for the Semi-Arid TropicsHyderabad, India; School of Plant Biology and Institute of Agriculture, The University of Western AustraliaWestern Australia WA, Australia.
authors.forename: Rajeev K
authors.initials: RK
authors.lastname: Varshney
keywords: chickpea; genetic gain; genomic prediction accuracy; genomic selection; population structure; prediction models; training population