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Intra- and intergeneration relationships among yield, its components and other related characteristics in spring wheat

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dc.contributor.author Lungu, DM en
dc.contributor.author Kaltsikes, PJ en
dc.contributor.author Larter, EN en
dc.date.accessioned 2014-06-06T06:41:56Z
dc.date.available 2014-06-06T06:41:56Z
dc.date.issued 1990 en
dc.identifier.issn 00142336 en
dc.identifier.uri http://dx.doi.org/10.1007/BF00033281 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/341
dc.subject correlation en
dc.subject harvest index en
dc.subject honey-comb design en
dc.subject indirect selection en
dc.subject path coefficients en
dc.subject protein content en
dc.subject regression en
dc.subject single-plant selection en
dc.subject Triticum aestivum en
dc.subject wheat en
dc.title Intra- and intergeneration relationships among yield, its components and other related characteristics in spring wheat en
heal.type journalArticle en
heal.identifier.primary 10.1007/BF00033281 en
heal.publicationDate 1990 en
heal.abstract The relationships between yield, its components and other associated characteristics, both within and across generations, were studied in the F2, F3 and F4 of two Hard Red Spring wheat (Triticum aestivum) crosses using simple correlation, path coefficient and step-wise multiple regression analyses. In the F2 and F3 the plants were grown 50 cm apart from each other while in the F4 they were grown under the usual farm practices. Selection was practiced for high and low yield in the F2 and F3 mainly on the basis of individual plant yield. Statistically significant, but not always practically useful, correlations were found between yield and its components and other associated characters. The relationship between yield and protein content was negative and significant within all generations but not so between F2 (and F3) and F4. The intergeneration correlation coefficients between F4 grain yields and grain yields measured in the F2 and F3 were all positive and highly significant. These coefficients, which are also heritability estimates in standard units, were small in magnitude. Stepwise multiple regression analysis identified plant yield as the most significant factor in determining F4 line yield, followed by its components in the order of 1000-kernel weight, grain yield per plant and number of tillers per plant. Path coefficient analysis identified tiller number per plant and grain yield per spike as having strong positive direct effects on single plant yield. Harvest index of individual F2 plants can be used as an indirect selection criterion for yield. © 1990 Kluwer Academic Publishers. en
heal.publisher Kluwer Academic Publishers en
heal.journalName Euphytica en
dc.identifier.issue 2 en
dc.identifier.volume 45 en
dc.identifier.doi 10.1007/BF00033281 en
dc.identifier.spage 139 en
dc.identifier.epage 153 en


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