SAS macro for analysing unreplicated designs
Augmented or unreplicated experiment designs have two type of treatments, the replicated checks and the unreplicated new entries. The latter are usually considered to be random effects while the checks treatments are considered as fixed effects. Augmented designs have several advantages over the systematic check arrangement such as more than one check can be included and standard errors of differences between unreplicated entries and between unreplicated entries and checks are available. The SAS macro presented in this manual analyzes unreplicated design when the repeated checks are arranged in incomplete blocks. Usually 4-6 different checks are repeated several times throughout the experiment and 2-3 checks are arranged in each incomplete block. The incomplete block has plots for checks and plots for the unreplicated genotypes.
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2000
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, STATISTICAL METHODS, VARIETY TRIALS, |
Online Access: | http://hdl.handle.net/10883/3490 |
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dig-cimmyt-10883-34902021-03-31T14:21:04Z SAS macro for analysing unreplicated designs Burgueño, J. Crossa, J. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY STATISTICAL METHODS VARIETY TRIALS Augmented or unreplicated experiment designs have two type of treatments, the replicated checks and the unreplicated new entries. The latter are usually considered to be random effects while the checks treatments are considered as fixed effects. Augmented designs have several advantages over the systematic check arrangement such as more than one check can be included and standard errors of differences between unreplicated entries and between unreplicated entries and checks are available. The SAS macro presented in this manual analyzes unreplicated design when the repeated checks are arranged in incomplete blocks. Usually 4-6 different checks are repeated several times throughout the experiment and 2-3 checks are arranged in each incomplete block. The incomplete block has plots for checks and plots for the unreplicated genotypes. 8 pages 2014-03-13T00:46:11Z 2014-03-13T00:46:11Z 2000 Handbook http://hdl.handle.net/10883/3490 English CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. Open Access PDF Mexico CIMMYT |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY STATISTICAL METHODS VARIETY TRIALS AGRICULTURAL SCIENCES AND BIOTECHNOLOGY STATISTICAL METHODS VARIETY TRIALS Burgueño, J. Crossa, J. SAS macro for analysing unreplicated designs |
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Augmented or unreplicated experiment designs have two type of treatments, the replicated checks and the unreplicated new entries. The latter are usually considered to be random effects while the checks treatments are considered as fixed effects. Augmented designs have several advantages over the systematic check arrangement such as more than one check can be included and standard errors of differences between unreplicated entries and between unreplicated entries and checks are available. The SAS macro presented in this manual analyzes unreplicated design when the repeated checks are arranged in incomplete blocks. Usually 4-6 different checks are repeated several times throughout the experiment and 2-3 checks are arranged in each incomplete block. The incomplete block has plots for checks and plots for the unreplicated genotypes. |
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Handbook |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY STATISTICAL METHODS VARIETY TRIALS |
author |
Burgueño, J. Crossa, J. |
author_facet |
Burgueño, J. Crossa, J. |
author_sort |
Burgueño, J. |
title |
SAS macro for analysing unreplicated designs |
title_short |
SAS macro for analysing unreplicated designs |
title_full |
SAS macro for analysing unreplicated designs |
title_fullStr |
SAS macro for analysing unreplicated designs |
title_full_unstemmed |
SAS macro for analysing unreplicated designs |
title_sort |
sas macro for analysing unreplicated designs |
publisher |
CIMMYT |
publishDate |
2000 |
url |
http://hdl.handle.net/10883/3490 |
work_keys_str_mv |
AT burguenoj sasmacroforanalysingunreplicateddesigns AT crossaj sasmacroforanalysingunreplicateddesigns |
_version_ |
1756086451175424000 |