<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Genomic-enabled prediction model with genotype × environment interaction in elite\r\nchickpea lines"^^ . "Genomic selection (GS) allows safe phenotyping and reduces\r\ncost and shortening selection cycles. Incorporating of genotype\r\n× environment (G×E) interactions in genomic prediction models\r\nimproves the predictive ability of lines performance across environments\r\nand in target environments. Phenotyping data on a set\r\nof 320 elite chickpea breeding lines on different traits (e.g., plant\r\nheight, days to maturity, and seed yield), from three consecutive\r\nyears for two different treatments at two locations were recorded.\r\nThese lines were genotyped on DArTseq(1.6K) and Genotyping-\r\nby-Sequencing (GBS; 89K SNPs) platforms. Five different\r\nmodels were fitted, four of which included genomic information\r\nas main effects (baseline model) and/or G×E interactions. Three\r\ndifferent cross-validation schemes that mimic real scenarios that\r\nbreeders might face on fields were considered to assess the predictive\r\nability of the models (CV2: incomplete field trials; CV1:\r\nnewly developed lines; and CV0: new previously untested environments).\r\nDifferent prediction models gave different results for\r\nthe different traits; however, some interesting patterns were observed.\r\nFor CV1, analyzing yield seed interaction models improved\r\nbaseline counterparts on an average between 55 and 92% using\r\nDArT and DArT combined with GBS data, respectively [between\r\n9 and 112% for all traits]. While for CV2 these improvements varied\r\nb tween 65 and 102% [between 8 and 130% remaining traits].\r\nIn CV0, no clear advantage was observed considering the interaction\r\nterm. These results suggest that GS models hold potential for\r\nbreeder’s applications on chickpea cultivar improvements."^^ . "2017-02" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "V"^^ . "Garg"^^ . "V Garg"^^ . . "S"^^ . "Samineni"^^ . "S Samineni"^^ . . "D"^^ . "Jarquin"^^ . "D Jarquin"^^ . . "M"^^ . "Roorkiwal"^^ . "M Roorkiwal"^^ . . "P M"^^ . "Gaur"^^ . "P M Gaur"^^ . . "A"^^ . "Jain"^^ . "A Jain"^^ . . "R K"^^ . "Varshney"^^ . "R K Varshney"^^ . . "J"^^ . "Crossa"^^ . "J Crossa"^^ . . "B"^^ . "Chellapilla"^^ . "B Chellapilla"^^ . . "S"^^ . "Tripathi"^^ . "S Tripathi"^^ . . "A"^^ . "Rathore"^^ . "A Rathore"^^ . . "S M"^^ . "Kale"^^ . "S M Kale"^^ . . "M K"^^ . "Singh"^^ . "M K Singh"^^ . . . . "InterDrought-V"^^ . . . . . "Hyderabad, India"^^ . . . . . . "Genomic-enabled prediction model with genotype × environment interaction in elite\r\nchickpea lines (PDF)"^^ . . . . . "Abstract_Book_112.pdf"^^ . . . "Genomic-enabled prediction model with genotype × environment interaction in elite\r\nchickpea lines (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Genomic-enabled prediction model with genotype × environment interaction in elite\r\nchickpea lines (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Genomic-enabled prediction model with genotype × environment interaction in elite\r\nchickpea lines (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Genomic-enabled prediction model with genotype × environment interaction in elite\r\nchickpea lines (Other)"^^ . . . . . . "small.jpg"^^ . . . "Genomic-enabled prediction model with genotype × environment interaction in elite\r\nchickpea lines (Other)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #10287 \n\nGenomic-enabled prediction model with genotype × environment interaction in elite \nchickpea lines\n\n" . "text/html" . . . "Chickpea"@en . . . "Genetics and Genomics"@en . .