Estimation of yield stability for flax genetic resource using regression and cluster analysis

Stafecka, I., Latvia Univ. of Agriculture, Priekuli, Priekuli parish, Priekuli Municipality . Inst. of Agricultural Resources and Economics. Research Centre of Priekuli; Stramkale, V., Latvia Univ. of Agriculture, Priekuli, Priekuli parish, Priekuli Municipality . Inst. of Agricultural Resources and Economics. Research Centre of Priekuli;Agricultural Science Centre of Latgale, Vilani, Vilani Municipality; Grauda, D., University of Latvia, Riga

Estimation of yield stability for flax genetic resource using regression and cluster analysis

2016

Stafecka, I., Latvia Univ. of Agriculture, Priekuli, Priekuli parish, Priekuli Municipality (Latvia). Inst. of Agricultural Resources and Economics. Research Centre of Priekuli | Stramkale, V., Latvia Univ. of Agriculture, Priekuli, Priekuli parish, Priekuli Municipality (Latvia). Inst. of Agricultural Resources and Economics. Research Centre of Priekuli;Agricultural Science Centre of Latgale, Vilani, Vilani Municipality (Latvia) | Grauda, D., University of Latvia, Riga (Latvia)

Flax (Linum usitatissimum L.) fibre and seeds are widely used to produce healthy and environmentally friendly products. It is known that the main factors that influence flax fibre’ and seeds’ yield are genotype and growing conditions. The main task of the Latvian flax breeding program is to develop flax genotypes that are highly productive (both fibre and seeds) and well adaptable to changing environmental conditions. Goal of this study is to identify high yielding genotypes with good adaptation to local variable agro-ecological conditions. The agronomically important traits, such as yield of stem and seeds, total and technical plant height and fibre content were evaluated for 13 Latvian origin flax lines and standard variety ‘Vega 2’. The field trials have been carried out over the period from 2012 to 2015 at the Agricultural Scientific Centre of Latgale. The regression, correlation, coefficient of variation and cluster analysis between yield and yield provided components were used for identification of high yielding genotypes with good adaptation. On the basis of cluster analysis the genotypes were classified in two groups by lower and higher yield of stem, fibre content, total plant height and technical plant height. The line ‘I18-1’ was identifying as genotype with the highest average yield of stem (751.25 g mE-2) as well as highest yield against other genotypes in moisture and drought years. Most valuable by the average technical plant height was line ‘L26-1’ (73.05 cm).

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Mots clés AGROVOC

adaptation crop yield experimentation flax genetic resources latvia letonia lettonie lin lino linum usitatissimum meteorological factors recherche regression analysis rendement des cultures rendimiento de cultivos research seed semence semillas stems tallos tige

Informations bibliographiques

Publié dans

Research for Rural Development. International Scientific Conference Proceedings (Latvia)

Numéro 22/2016 ISSN 1691-4031

Editeur

Latvia University of Agriculture

Pagination

p. 15-22

D'autres materias

Condiciones atmosfericas; Analyse de regression; Conditions meteorologiques; Ressource genetique; Investigacion; Recursos geneticos; Analisis de la regresion; Cluster analysis; Adaptacion; Experimentacion

Langue

anglais

Type

Conference; Summary; Web Site; Ams

Conférence

International Scientific Conference: Research for Rural Development, 22, Jelgava (Latvia), 18-20 May 2016

Sur AGRIS depuis: 2017-10-15

Format: AGRIS AP

Fournisseur de données

Cette notice bibliographique a été fournie par Fundamental Library of Latvia University of Life Sciences and Technologies

Découvrez la collection de ce fournisseur de données dans AGRIS

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