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Sunday, July 19, 2020 | History

5 edition of Statistical Methods for Plant Variety Evaluation (Plant Breeding) found in the catalog.

Statistical Methods for Plant Variety Evaluation (Plant Breeding)

  • 217 Want to read
  • 12 Currently reading

Published by Springer .
Written in English


Edition Notes

ContributionsR.A. Kempton (Editor), P.N. Fox (Editor), M. Cerezo (Editor)
The Physical Object
Number of Pages208
ID Numbers
Open LibraryOL7478830M
ISBN 100412547503
ISBN 109780412547508

  Common Statistical Methods in Plant Breeding. George Acquaah. Bowie State University, Maryland, USA. Search for more papers by this author. Book Author(s): George Acquaah. Bowie State University, Maryland, USA. Search for more papers by . Results from variety testing are mainly reported through the variety testing Web page, the Fall Seed Guide and the Spring Seed Guide (corn and soybean) also known as Extension Circular and respectively. Reported results should be considered as one of the tools to evaluate a hybrid/variety.

5 Statistical Methods and Measurement. OVERVIEW. The central focus of the present committee’s activities is to evaluate the potential for new measurement technologies to make real-time and localized measurements for the presence of chemical agents at the Pueblo Chemical Agent Destruction Pilot Plant (PCAPP) and the Blue Grass Chemical Agent Destruction Pilot Plant (BGCAPP), including the.   Statistical methods for modelling plant species distributions are difficult to evaluate using field data because “truth” is unknown. Artificial data based on explicit theory can be used as “truth”. Statistical models should be capable of recovering “truth” if .

  RESULTS: Statistical methods are described for the assessment of the difference between a genetically modified (GM) plant variety and a conventional non-GM counterpart, and for the assessment of the equivalence between the GM variety and a group of reference plant varieties which have a history of safe use. Online shopping for Genetics - Botany from a great selection at Books Store.


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Statistical Methods for Plant Variety Evaluation (Plant Breeding) Download PDF EPUB FB2

The publication in of Plant Breeding. Principles and Prospects, which ini­ tiated the Chapman & Hall's Plant Breeding Series, has become an important feature of CIHEAM's plant breeding programme. We are now pleased to add a further volume to that series: the present book, Statistical Methods for Plant Variety Evaluation.

Book: Statistical methods for plant variety evaluation. + pp. ref.9 pp. of Abstract: This book provides plant breeders, geneticists and biometricians with the most comprehensive description to date of modern statistical and trial management techniques for field evaluation of plant varieties.

The publication in of Plant Breeding. Principles and Prospects, which ini tiated the Chapman & Hall's Plant Breeding Series, has become an important feature of CIHEAM's plant breeding programme. We are now pleased to add a further volume to that series: the present book, Statistical Methods for Plant Variety Evaluation.

This book provides plant breeders, geneticists and biometricians with a comprehensive description of modern statistical and trial management techniques for field evaluation of plant varieties.

It focuses on the distinctive goals of plant breeders and the technical problems that they face. Part of the Plant Breeding Series 3 Statistical Methods for Plant Variety Evaluation book series (PLBR) Abstract This chapter describes the statistical analysis of series of trials aimed at predicting the future performance of new varieties in a specified region or country (a recommendation domain in the terminology of Chapter 8).

Statistical Methods for Plant Variety Evaluation, eds R. Kempton & P. Fox. xii+ pp. London: Chapman & Hall (). £ (hardback). ISBN 0 3. - Volume Issue 4 - D. PREECE. Title: Statistical Methods for Plant Variety Evaluation Format: Hardcover Product dimensions: pages, X X 0 in Shipping dimensions: pages, X X 0 in Published: Novem Publisher: Springer Netherlands Language: English.

COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

Sell, buy or rent Statistical Methods for Plant Variety Evaluation (Plant Breeding)we buy used or new for best buyback price with FREE shipping and offer great deals for. Average estimated relative efficiency (RE) was, and % for plant height, number of tillers plant-1, spike length, number of spikelets spike-1, number of.

Safety assessment of genetically modified organisms is currently often performed by comparative evaluation. However, natural variation of plant characteristics between commercial varieties is usually not considered explicitly in the statistical computations underlying the assessment.

Statistical methods are described for the assessment of the difference between a genetically. This book reviews the statistical procedures used to detect measurement bias.

Measurement bias is examined from a general latent variable perspective so as to accommodate different forms of testing in a variety of contexts including cognitive or clinical variables, attitudes, personality dimensions, or emotional states.

Measurement models that underlie psychometric practice are described. In Statistical Methods for Plant Variety Evaluation (Eds Kempton, R. A., Fox, P. & Cerezo, M.), pp. The analysis of crop variety evaluation data in Australia. Australian & New Zealand Journal of Statist Kempton R.A., Fox P.N.

(): Statistical methods for plant variety evaluation. Chapman & Hall. Lin C.S., Binns M.R. (): A superiority measure of cultivar performance for cultivar x location data.

Can. Plant Sci. [Statistical methods for evaluation of hybrids and their parental lines on the basis of a series of. Plant breeding - Plant breeding - Evaluation of plants: The appraisal of the value of plants so that the breeder can decide which individuals should be discarded and which allowed to produce the next generation is a much more difficult task with some traits than with others.

The easiest characters, or traits, to deal with are those involving discontinuous, or qualitative, differences that are. On the other hand, statisticians often fail to recognize the riches of challenging data analytical problems contemporary plant and soil science first book to integrate modern statistics with crop, plant and soil science, Contemporary Statistical Models for the Plant and Soil Sciences bridges this s: 1.

The advantages and disadvantages of some common tools used to describe plant disease dynamics, like DPC, LDE, AUDPC, visual evaluation, pictorial assessment and statistical tools, have been presented in a tabular, wherein it has been mentioned that in spite of the advantage of the fact that new terms can be easily included into the model as per.

Book. Full-text available Statistical Methods for Plant Variety Evaluation. Citing chapter Explaining the performance of genotypes in different environments is difficult with a single. Plant breeding, application of genetic principles to produce plants that are more useful to humans. Plant breeding dates to the very beginnings of agriculture, though scientific plant breeding began only in the early 20th century.

Learn more about the uses and methods of plant breeding. statistical methods for plant variety evaluation 1st edition PDF may not make exciting reading, but statistical methods for plant variety evaluation 1st edition is packed with valuable instructions, information and warnings.

We also have many ebooks and user guide is also related with statistical. Training in statistical methods in plant variety evaluation (–) Grant type: Sugar Research & Development Corporation Researchers.Authors Bethany K.

Schulz is a research ecologist, Pacific Northwest Research Station, Forestry Sciences Laboratory, C Street, SuiteAnchorage, AK ; William A. Bechtold is a research forester, and Stanley J. Zarnoch is a mathematical statistician, Southern Research Station, Weaver Blvd., Asheville.However, natural variation of plant characteristics between commercial varieties is usually not considered explicitly in the statistical computations underlying the assessment.

Results Statistical methods are described for the assessment of the difference between a genetically modified (GM) plant variety and a conventional non-GM.