ISSN 2285-5785, ISSN CD-ROM 2285-5793, ISSN ONLINE 2285-5807, ISSN-L 2285-5785
 

PRODUCTIVITY AND YIELD STABILITY OF SIX GRAIN LEGUMES IN THE MODERATE CLIMATIC CONDITIONS OF BULGARIA

Published in Scientific Papers. Series A. Agronomy, Vol. LIX
Written by Tsenka ZHELYAZKOVA, Dimitar PAVLOV, Grosi DELCHEV, Antoniya STOYANOVA

Increasing the production of plant protein for feed and food purposes is one of the most important tasks of agricultural production. The aim of study was to establish the productive capacity and yield stability of six annual grain legumes: 2 conventional species - spring pea (Pisum sativum L.) and wintering pea (Pisum arvense L.) and 4 new species: spring vetch (Vicia sativa L.), bitter vetch (Vicia ervilia L.), grass pea (Lathyrus sativus L.) and chickpea (Cicer arietinum L.) in the environmental conditions of Bulgaria during 2010 - 2013, at the experimental base of the "Plant Growing" Department, Trakia University - Stara Zagora. The trial was designed by the block method in 4 repetitions. The plants were cultivated by the conventional technology. Results obtained for the grain yield were statistically processed by ANOVA and regression equations among the yield and rainfalls were developed. It was established that in the nonirrigation conditions of Bulgaria, P. sativum and C. arietinum were the most productive. The most valuable was L. sativus due to combines high grain yield and high stability. Climatic conditions over the years had the least impact on the productivity of C. arietinum and L. sativus. The type of crop as factor had the strongest influence on grain yield and plant height than the year. The stem height in the examined legumes correlated well with the rainfall in May. The grain yield of P. arvense and V. ervilia was in a good correlation with the amount of rainfall during the period from March to June, and of V. sativa – with the amount of the rainfall in May. Regression equations were developed on this base, which allows preliminary assessment of legumes grain productivity with approximate accuracy for practical purposes.

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