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Assessing small grain cultivars for yield in variable environments through joint regression analysis

By: Gusmao, L.
Material type: materialTypeLabelArticlePublisher: 1988ISSN: 0255-6421.Subject(s): Crop husbandry | Europe | Evaluation | Experiments | Mathematical and statistical methods | Mediterranean countries | Plant products | Southern europe | Testing | Trials | Western Europe | Yields AGROVOC | Plant breeding AGROVOCDDC classification: 92-103128 In: RACHIS (ICARDA). Barley and Wheat Newsletter v. 7, no. 1-2, p. 22-2592-103128Summary: The principles of assessing small grain cultivars for yield in variable environments through Joint Regression Analysis are summarized. This method is accepted as a complement to traditional statistical analyses. Besides mean yield, it assesses genotypes through two orthogonal components. The first component, expressed by the regression coefficient (B) which shows the yield response, is related to yield stability. The second, expressed by the deviation from the regression line (S2y/x), is related to the concept of specific instabilityCollection: AGRIS Collection
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Article CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

AGRIS Collection 92-103128 (Browse shelf) 1 Available 92-103128
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The principles of assessing small grain cultivars for yield in variable environments through Joint Regression Analysis are summarized. This method is accepted as a complement to traditional statistical analyses. Besides mean yield, it assesses genotypes through two orthogonal components. The first component, expressed by the regression coefficient (B) which shows the yield response, is related to yield stability. The second, expressed by the deviation from the regression line (S2y/x), is related to the concept of specific instability

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