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UID:20251015T141720EDT-9394Dw0T9j@132.216.98.100
DTSTAMP:20251015T181720Z
DESCRIPTION:4 O'Clock Forum continues this year's seminar series with a tal
 k by Dr. Murari Singh\, Assistant Professor\, Concordia University. Everyo
 ne is welcome to attend.\n\nIn search of the high yielding and stable geno
 types\, crop improvement programs\, including BIGM at ICARDA regularly eva
 luate crop variety trials in block designs\, and generate a lot of informa
 tion on genotypic and environmental variability. The frequentist approach 
 of analysis followed in common practice uses only the current data but ign
 ores the prior information available from the ongoing program. Bayesian ap
 proach makes use of such prior information by integrating it with the like
 lihood of current data. In doing so\, it not only widens the statistical i
 nference base and but also strengthens the estimates of parameters of inte
 rest such as genetic gain due to selection\, heritability and predicted me
 ans\, with more realistic estimates of precision. The yield data were gene
 rated from a winter barley trial conducted in resolvable incomplete block 
 designs for 30 genotypes during 2011-12 season at Tel Hadya\, Aleppo\, Syr
 ia.  Bayesian analysis was carried out by developing various computing seg
 ments using Genstat\,WinBUGS and R software codes. Although not guaranteed
  by the nature of the Bayesian approach itself\, its application on the ba
 rley yield data\, using priors determined from 20 similar trials\, led to 
 higher precision of predicted means of genotypes fromthe current trial\, h
 igher heritability and genetic gain due to selection. This implies that th
 rough Bayesian approach an enhanced breeding progress\, or a relatively sh
 orter breeding cycle\, can be achieved by incorporating prior information 
 which are routinely collected.\n\nABOUT THE SPEAKER\n\nDr. Murari Singh is
  an Assistant Professor on a Limited-Term Appointment at the Department of
  Mathematics and Statistics at Concordia University. Dr. Singh has generat
 ed his consultancy\, research and training interest in plant biometrics pr
 imarily at IASRI\, New Delhi\; ICRISAT\, Patancheru\, India\, and ICARDA\,
  Aleppo\, Syria and Amman\, Jordan. More specific areas of his activities 
 include design and analysis of experiments/surveys: G×E interaction\, heri
 tability\, genotypic correlation\, scaling tests\, diallel crosses\, diver
 sity indices\, molecular marker data analysis (optimum sample size)\; long
 -term trials\, intercropping\; spatial and temporal analysis of field tria
 ls\; applied Bayesian analysis\; training in biometrics\, statistics and a
 ssociated computing. This talk is based on a published study on barley tri
 als conducted at ICARDA\, Amman\, Jordan\, where he served as a Senior Bio
 metrician before his retirement.\n
DTSTART:20191031T200000Z
DTEND:20191031T200000Z
LOCATION:R3-048\, Raymond Building\, CA\, QC\, St Anne de Bellevue\, H9X 3V
 9\, 21111 Lakeshore Road
SUMMARY:4 O'Clock Forum: Using Prior information from Crop Variety Trials -
  A Bayesian Analysis of Barley Trials
URL:/macdonald/channels/event/4-oclock-forum-using-pri
 or-information-crop-variety-trials-bayesian-analysis-barley-trials-302012
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