A Regression Method of Stability Estimation
A new regression method of stability estimation was proposed. The ascendant ranged variables x and y were its basis. A ranging was carried out to each genotype, as the independent value x (environments) accepted the magnitudes of the numbers natural row. The statistics discussed in the present study...
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Veröffentlicht in: | Cereal research communications 1998-01, Vol.26 (3), p.337-341 |
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creator | Lidansky, T. Vassilevska-Ivanova, R. Naidenova, N. Vassileva, I. |
description | A new regression method of stability estimation was proposed. The ascendant ranged variables x and y were its basis. A ranging was carried out to each genotype, as the independent value x (environments) accepted the magnitudes of the numbers natural row. The statistics discussed in the present study: dynamic regression coefficient and dynamic variance were differentiated statistically and classificatory. Stability defined by the method proposed was characterized genotypically individual, dynamic in character, statistically differentiated and universally comparable. The method was illustrated by an example. |
doi_str_mv | 10.1007/bf03543508 |
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The ascendant ranged variables x and y were its basis. A ranging was carried out to each genotype, as the independent value x (environments) accepted the magnitudes of the numbers natural row. The statistics discussed in the present study: dynamic regression coefficient and dynamic variance were differentiated statistically and classificatory. Stability defined by the method proposed was characterized genotypically individual, dynamic in character, statistically differentiated and universally comparable. 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The method was illustrated by an example.</description><subject>Coefficients</subject><subject>Estimation methods</subject><subject>Genotype environment interaction</subject><subject>Genotypes</subject><subject>Miscellaneous</subject><subject>Plants</subject><subject>Regression coefficients</subject><subject>Statistical variance</subject><subject>Sustainable agriculture</subject><issn>0133-3720</issn><issn>1788-9170</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNo9j01LAzEURYMoWKsb98KsldGXvJdJZllLq0JF8GM9ZCYvOqU6kmTTf9-RqquzuIfLvUKcS7iWAOamDYCaUIM9EBNprC1raeBQTEAilmgUHIuTlNYAmuqaJuJqVjzze-SU-uGreOT8MfhiCMVLdm2_6fO2WKTcf7o8xqfiKLhN4rNfTsXbcvE6vy9XT3cP89mq7JSEXDJ57hQzdYBVMGj1CNWiqbwNMlQsq5YNKe-V8ujJaMlAyjnSYKwjnIrLfW8Xh5Qih-Y7jhPitpHQ_Nxsbpd_N0f5Yi-vUx7iv6nQWK0M4Q6-jk0d</recordid><startdate>19980101</startdate><enddate>19980101</enddate><creator>Lidansky, T.</creator><creator>Vassilevska-Ivanova, R.</creator><creator>Naidenova, N.</creator><creator>Vassileva, I.</creator><general>Cereal Research Non-Profit Company</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19980101</creationdate><title>A Regression Method of Stability Estimation</title><author>Lidansky, T. ; Vassilevska-Ivanova, R. ; Naidenova, N. ; Vassileva, I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c210t-e4dec2ee4c036f738536f2b376d8f1f6e16be742dd22d3d4751e042aa45078a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Coefficients</topic><topic>Estimation methods</topic><topic>Genotype environment interaction</topic><topic>Genotypes</topic><topic>Miscellaneous</topic><topic>Plants</topic><topic>Regression coefficients</topic><topic>Statistical variance</topic><topic>Sustainable agriculture</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lidansky, T.</creatorcontrib><creatorcontrib>Vassilevska-Ivanova, R.</creatorcontrib><creatorcontrib>Naidenova, N.</creatorcontrib><creatorcontrib>Vassileva, I.</creatorcontrib><collection>CrossRef</collection><jtitle>Cereal research communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lidansky, T.</au><au>Vassilevska-Ivanova, R.</au><au>Naidenova, N.</au><au>Vassileva, I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Regression Method of Stability Estimation</atitle><jtitle>Cereal research communications</jtitle><date>1998-01-01</date><risdate>1998</risdate><volume>26</volume><issue>3</issue><spage>337</spage><epage>341</epage><pages>337-341</pages><issn>0133-3720</issn><eissn>1788-9170</eissn><abstract>A new regression method of stability estimation was proposed. The ascendant ranged variables x and y were its basis. A ranging was carried out to each genotype, as the independent value x (environments) accepted the magnitudes of the numbers natural row. The statistics discussed in the present study: dynamic regression coefficient and dynamic variance were differentiated statistically and classificatory. Stability defined by the method proposed was characterized genotypically individual, dynamic in character, statistically differentiated and universally comparable. The method was illustrated by an example.</abstract><pub>Cereal Research Non-Profit Company</pub><doi>10.1007/bf03543508</doi><tpages>5</tpages></addata></record> |
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subjects | Coefficients Estimation methods Genotype environment interaction Genotypes Miscellaneous Plants Regression coefficients Statistical variance Sustainable agriculture |
title | A Regression Method of Stability Estimation |
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