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A01=Dr Chris Harwood
A01=Dr Colin Matheson
A01=Dr Emlyn Williams
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Age Group_Uncategorized
Author_Dr Chris Harwood
Author_Dr Colin Matheson
Author_Dr Emlyn Williams
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Category1=Non-Fiction
Category=TVR
COP=United Kingdom
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Language_English
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Experimental Design and Analysis for Tree Improvement

Experimental Design and Analysis for Tree Improvement provides a set of practical procedures to follow when planning, designing and analysing tree improvement trials. Using examples, it outlines how to: - design field, glasshouse and laboratory trials - efficiently collect and construct electronic data files - pre-process data, screening for data quality and outliers - analyse data from single and across-site trials - interpret the results from statistical analyses. Supplementary material available via: https://www.publish.csiro.au/book/8100/#supplementary The authors address the many practical issues often faced in forest tree improvement trials and describe techniques that will give meaningful results. The techniques provided are applicable to the improvement of not only trees, but to crops in general. This fully revised third edition includes the construction of p-rep and spatial designs using the commercially available software package for design generation (CycDesigN). For analysis of the examples, it provides online Genstat and SAS programs and a link to R programs. See more
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A01=Dr Chris HarwoodA01=Dr Colin MathesonA01=Dr Emlyn WilliamsAge Group_UncategorizedAuthor_Dr Chris HarwoodAuthor_Dr Colin MathesonAuthor_Dr Emlyn Williamsautomatic-updateCategory1=Non-FictionCategory=TVRCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Dimensions: 170 x 245mm
  • Publication Date: 01 Feb 2024
  • Publisher: CABI Publishing
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781800624504

About Dr Chris HarwoodDr Colin MathesonDr Emlyn Williams

Emlyn Williams (Author) Dr Emlyn Williams a statistician with over 40 years' research experience is at the forefront of statistical research into the construction and analysis of efficient experimental designs.

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