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Effect of sowing time on productivity of fenugreek varieties (Trigonella foenum-graecum L., Trigonella coerulea (Desr.) Ser.) Full text
2016
Бобось, І. М
Effect of sowing time on productivity of fenugreek varieties (Trigonella foenum-graecum L., Trigonella coerulea (Desr.) Ser.) Full text
2016
Бобось, І. М
Purpose. Determination of sowing time effect on productivity of various fenugreek species in the Forest-Steppe zone of Ukraine. Methods. Field study, laboratory test, analytical approach and statistical evaluation. Results. Effect of sowing time on economic characters of common fenugreek (Trigonella foenum graecum L.) and blue fenugreek (Trigonella coerulea (Desr.) Ser.) was investigated. It was found that sowing time significantly influenced the individual productivity of plants and average yield of their fresh and dry matter. In particular, common and blue fenugreek plants formed not only the most developed vegetation but also higher productivity and fresh and dry matter yield, respectively, due to early-spring sowing. In case of summer sowing, the poorest yield of dry matter per unit was obtained for these species caused by a low fresh yield, though the moisture loss index was lower. Conclusions. Common fenugreek is promising for producing “mushroom grass” spices, and the conveyor supply of production in the Forest-Steep zone of Ukraine can be ensured by the first sowing time (the first or the second decades of April) and the second sowing time (the third decade of April) as during this period more developed vegetation is formed that favored the higher yield of dry matter (1,3–1,5 t/ha).
Show more [+] Less [-]Evaluation of pea varieties based on correlation of quantitative traits and indices Full text
2016
О. І. Присяжнюк | Л. В. Король
Purpose. To evaluate pea plants productivity and determine the degree of correlation among the main agronomic characters in pea varieties. Methods. Structural and statistical analysis. Results. Evaluation of pea samples in terms of indices of plant productivity elements level based on correlation analysis and single-factor indices appliance provided insight into the ratio of one trait share per unit of another one. It was defined that some correlations among the elements of productivity was not only moderate and weak, but they also changed their sign that could be the evidence of growth conditions influence on structural relationships between some traits and, consequently, redistribution of their contributions to the formation of variety productivity. Positive and very close relationship of many traits was revealed, particularly between plant height and the height of the plant up to the first bean, the number of nodes and the number of sterile nodes (r = 0,95–0,97). Methodological aspects of the variety model creation were considered, that may be useful not only in pea breeding but also for improving the technology of its cultivation. Conclusions. Correlation relationships were established between the number of beans and the number of fruiting nodes and the number of carpophores containing 2 beans (r = 0,86–0,88), seed mass and plant mass (r = 0,81), the number of seeds per plant and plant mass and seed mass per plant (r = 0,78–0,81), the number of certified seeds and the number of seeds per plant (r = 0,84), the average number of beans per fertile node and the number of carpophores containing 2 beans (r = 0,74) that makes it possible to use them in assessing the productivity of plants.
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