Genotype and Sowing Time Effects on Soybean Yield and Quality

Author:

Mandić VioletaORCID,Đorđević Snežana,Đorđević Nikola,Bijelić ZoricaORCID,Krnjaja VesnaORCID,Petričević MajaORCID,Brankov Milan

Abstract

The successful production of soybeans is largely dependent on the sowing time, because every sowing outside the optimal time contributes significantly to yield losses. This field study aimed to evaluate the effects of sowing time (optimal—April 5; late—April 27) on the quantitative and quality traits of three soybean genotypes (Galina—0 maturity group; Sava—I maturity group; and Rubin—II maturity group) under dryland conditions in Vojvodina Province (Serbia) during 2017 and 2018. The genotype Sava had higher yield in climatic-unfavorable 2017, while Rubin had a higher yield in climatic-favorable 2018. The yields significantly decreased when the soybeans were sown in late April due to reductions in the number of pods per plant, seed weight per plant, and 1000-seed weight. The reduction in yield components was likely due to the accelerated senescence of plants and the negative effect of high temperature and low precipitation during the seed filling stage. Accordingly, the various sowing times and properly chosen genotypes provide a better utilization of soil and water resources. A proper genotype selection and sowing time can contribute to a high yield. At the same time, the protein and oil contents can be altered by the sowing time, especially under water stress during the reproductive stage.

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Reference35 articles.

1. Improving seed quality of soybean suitable for growing in Europe;Sudarić,2019

2. Soybean (Glycine max L) Genotype and Environment Interaction Effect on Yield and Other Related Traits

3. FAO (Food and Agriculture Organization of the United Nations)http://www.fao.org/faostat/en/#data

4. The rainfall use efficiency and soybean grain yield under rainfed conditions in Vojvodina

5. Latest NS varieties of soybean;Vidić;Field Veg. Crop. Res.,2010

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