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INFLUENCE OF SOME QUANTITATIVE STRUCTURAL CHARACTERISTICS OF INTRODUCED SOYBEAN (Glycine max (L.) MERR.) ACCESSIONS ON SEED PRODUCTIVITY IN IRRIGATED CONDITIONS IN THE SOUTH OF UKRAINE

Article language

Українська, Русский, English

Print date

11.06.18

Date posted online

25.07.2018

Institution

Institute of Irrigated Agriculture of NAAS

Bibliography

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Section

INTRODUCTION

Abstract

Goal. To establish correlations between the seed weight and quantitative characteristics of performance for new introduced soybean accessions.Results and discussion. The results of evaluating the following introduced accessions for a set of economically valuable traits are presented in the article: Saska, 01006; Sigalia, 01020 (AUT) Connor, 00549; Sandra, 00679; Madison, 01011; OAC Drayton, 01014; OAC Wallace, 01018; Kyoto, 01012; Silesiya 01010 (CAN) Cordoba, 01020; Lissabon, 01007 (AUS) Sultana, 01008; Sinara, 01005 (FRA). Among all the accessions under investigation, variety Silesiya 01010 (CAN) was distinguished by ultra-early ripening. The duration of its vegetation period was 98 days. The results of studying the introduced accessions allowed us to single out a source, variety Sultana, 01008 (FRA), by exceptionally high performance, as its seed weight per plant was 39.4 g or the seed number per plant was 230.0. There were correlations between the main trait of the plant performance, the seed weight per plant, and the traits of "productive node number per branch", "productive node number per plant", "pod number per branch," "pod number per plant", and "seed number per plant" in soybean varieties (Kyoto, 01012 (CAN) Sinara, 01005, Sultana, 01008 (FRA) and Cordoba, 01020 (AUS), which had the best yields. It was established that genotypes could be selected by these traits to form a variety model.Conclusions. Basing on the correlations, we found that the plant height, the lowest pod height, the productive node number per branch, the additional branch number per plant, the pod number per plant, and the seed number per plant had the most significant direct effects on the variability of the main performance trait - the seed weight per plant.

Keywords

introduced accessions, soybean, productivity elements, correlation, irrigation conditions