TY  - JOUR
AU  - Mandić, Violeta
AU  - Đorđević, Snežana
AU  - Đorđević, Nikola
AU  - Bijelić, Zorica
AU  - Krnjaja, Vesna
AU  - Petričević, Maja
AU  - Brankov, Milan
PY  - 2020
UR  - http://r.istocar.bg.ac.rs/handle/123456789/704
AB  - 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 e ects 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 e ect 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.
PB  - MDPI
T2  - Agriculture
T1  - Genotype and sowing time effects on soybean yield and quality
VL  - 10
IS  - 11
SP  - 502
DO  - 10.3390/agriculture10110502
ER  - 

@article{
author = "Mandić, Violeta and Đorđević, Snežana and Đorđević, Nikola and Bijelić, Zorica and Krnjaja, Vesna and Petričević, Maja and Brankov, Milan",
year = "2020",
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 e ects 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 e ect 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",
journal = "Agriculture",
title = "Genotype and sowing time effects on soybean yield and quality",
volume = "10",
number = "11",
pages = "502",
doi = "10.3390/agriculture10110502"
}

Mandić, V., Đorđević, S., Đorđević, N., Bijelić, Z., Krnjaja, V., Petričević, M.,& Brankov, M.. (2020). Genotype and sowing time effects on soybean yield and quality. in Agriculture
MDPI., 10(11), 502.
https://doi.org/10.3390/agriculture10110502

Mandić V, Đorđević S, Đorđević N, Bijelić Z, Krnjaja V, Petričević M, Brankov M. Genotype and sowing time effects on soybean yield and quality. in Agriculture. 2020;10(11):502.
doi:10.3390/agriculture10110502 .

Mandić, Violeta, Đorđević, Snežana, Đorđević, Nikola, Bijelić, Zorica, Krnjaja, Vesna, Petričević, Maja, Brankov, Milan, "Genotype and sowing time effects on soybean yield and quality" in Agriculture, 10, no. 11 (2020):502,
https://doi.org/10.3390/agriculture10110502 . .