Influence of Weather Conditions in the Northwestern Russian Federation on Flax Fiber Characters According to the Results of a 30-Year Study

• Published in: Plants (Basel) Vol. 13; no. 6; p. 762
• Main Authors: Pavlov, Andrey V, Porokhovinova, Elizaveta A, Slobodkina, Anastasia A, Matvienko, Inna I, Kishlyan, Natalya V, Brutch, Nina B
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-03-2024; MDPI
• Subjects: Agricultural production; Agronomy; Analysis; Climate change; Climatic conditions; Comparative analysis; Correlation analysis; Developmental stages; Environmental aspects; Environmental conditions; Experiments; fiber flax; Flax; flax fiber; Flowering; Genetic aspects; Genotype & phenotype; Genotypes; Germination; Growing season; High temperature; Hot weather; Physiological aspects; Plant fibers; Plant growth; prediction of fiber yield and quality; Productivity; Prolongation; Ripening; seed productivity; Seeds; Temperature; Variance analysis; Vegetation; VIR flax collection; Weather; Russia; flax fiber; prediction of fiber yield and quality; fiber flax; seed productivity; VIR flax collection
• ISSN: 2223-7747; 2223-7747
• DOI: 10.3390/plants13060762

Weather has significant impact on plant growth and development. It is important to analyze the influence of changing climate conditions on the expression of plant agronomic characters. Two flax varieties were grown from 1987 to 2018 in the Northwest of Russia. Weather conditions and their influence on flax agronomic characters were analyzed using the variance and correlations analyses. Significant influence of conditions of a particular year on the manifestation of all evaluated characters was revealed. Starting from June, high temperatures accelerate plant development at all stages. Prolongation of the germination-flowering period is most important for improving fiber productivity, while fast ripening in hot weather after flowering is preferable for the formation of high-quality fiber. Such data give a possibility to predict the yield amount and quality. The use of weather conditions data also makes possible a comparison of the results obtained in different years. The suggested method of classifying meteorological conditions of a year can be used in other genebanks for systematizing and analyzing the results of crop evaluation in the field. The correlation analysis revealed 3 correlated pleiades, namely (1) of productivity, (2) of fiber quality and yield, and (3) of the growing season phase durations, the sums of active temperatures and precipitation during each period. The great influence of growing conditions on the economically valuable traits indicates the necessity of searching for genotypes with stable character manifestations for breeding new varieties with stable yields and good fiber quality.