INTERDEPENDENCE RELATIONSHIPS BETWEEN PRODUCTIVITY ELEMENTS IN SOYBEANS

Andreea Lidia Jurjescu, Klaudia Kincel, Camelia Urdă, Florin Sala

Abstract


Interdependence relationships between productivity elements in soybeans were analyzed in the present study. The Iris soybean variety was cultivated under the specific conditions of the ARDS Lovrin. Plant samples were taken randomly from 15 plots. Productivity elements were determined in plant samples. The experimental data set showed statistical reliability (Alpha = 0.05; p<0.001). Low variability in the case of PH (CV = 5.9611), PL (CV = 3.6785) and Pwdt (CV = 7.0894) parameters. Moderate variability was recorded in the case of the parameters PN (CV = 27.1951), PsW (CV = 28.3441), GW (CV = 27.3812), and respectively PW (CV = 26.1433). Correlation of different levels of intensity and statistical certainty was recorded between the productivity elements. Linear and polynomial equations of the 2nd and 3rd degree described interdependence relationships between the productivity elements considered in the study, under statistical safety conditions (p<0.001).

Keywords


agronomic characters; biometric parameters; correlations; soybean.

Full Text:

PDF

References


AGAPIE A.L., HORABLAGA M.N., GORINOIU G., SALA F., 2022, Foliar surface calculation model in soybean, AIP Conference Proceedings, 2293(1), 350002.

AGAPIE, A.L., HORABLAGA, M.N., GORINOIU, G., SALA, F., 2022, Fractal analysis for soybean leaves characterization, AIP Conference Proceedings, 2293(1), 350003.

AMOANIMAA-DEDE H., SU C., YEBOAH A., ZHOU H., ZHENG D., ZHU H., 2022, Growth regulators promote soybean productivity: a review, PeerJ., 10, e12556.

BHEEMANAHALLI R., POUDEL S., ALSAJRI F.A., REDDY K.R., 2022, Phenotyping of Southern United States soybean cultivars for potential seed weight and seed quality compositions, Agronomy, 12, 839.

CAMICIA R.G.M., MAGGI M.F., SOUZA E.G., BAZZI C.L., KONOPATZKI E.A., MICHELON G.K., PINHEIRO J.B.S., 2018, Productivity of soybean in management zones with application of different sowing densities, Ciência Rural, Santa Maria, 48(12), e20180532.

COLEMAN K., WHITMORE A.P., HASSALL K.L., SHIELD I., SEMENOV M.A., DOBERMANN A., BOURHIS Y., ESKANDARY A., MILNE A.E., 2021, The potential for soybean to diversify the production of plant-based protein in the UK, Science of the Total Environment, 767, 144903.

CONSTANTINESCU C., HERBEI M., RUJESCU C., SALA F., 2018, Model prediction of chlorophyll and fresh biomass in cereal grasses based on aerial images, AIP Conference Proceedings, 1978(1), 390003.

FAÉ G.S., KEMANIAN A.R., ROTH G.W., WHITE C., WATSON J.E., 2020, Soybean yield in relation to environmental and soil properties, European Journal of Agronomy, 118, 126070.

HAMMER Ø., HARPER D.A.T., RYAN P.D., 2001, PAST: Paleontological Statistics software package for education and data analysis, Palaeontologia Electronica, 4(1), 1-9.

KOBAYASHI S., KUNIMITSU Y., 2024, Assessment of soybean productivity and its changing factors in Japan based on the production cost statistics, Heliyon, 10(20), e38396.

KRISTANTI N.E., RAHMAWATI F., MAKSUM M., 2016, Analysis of productivity of soybean [Glycine Max (L.) Merr.] for production for farmers in Indonesia, KnE Life Sciences, 2016, pp. 237-246.

MACCARTHY D.S., TRAORE P.S., FREDUAH B.S., ADIKU S.G.K., DODOR D.E., KUMAHOR S.K., 2022, Productivity of soybean under projected climate change in a semi-arid region of West Africa: Sensitivity of current production system, Agronomy, 12, 2614.

MEIER U., 2001, Growth stages of mono-and dicotyledonous plants e BBCH monograph, Federal Biological Research Centre for Agriculture and Forestry, pp. 158

NEGI A., RANJAN R., KUMAR A., 2020, Effect of weather parameters on productivity of soybean crop, Journal of Pharmacognosy and Phytochemistry, 9(6S), pp. 227-230.

PÎRVULESCU A., SALA F., BOLDEA M., 2015, Variation of chlorophyll content in sunflower under the influence of magnetic nanofluids, AIP Conference Proceedings1648, 670009-1 - 670009-4.

QIN P., WANG T., LUO Y., 2022, A review on plant-based proteins from soybean: Health benefits and soy product development. Journal of Agriculture and Food Research, 7, 100265.

SIMON-MIQUEL G., RECKLING M., PLAZA-BONILLA D., 2024. Maximising soybean productivity with late maturity groups in Mediterranean irrigated systems, Field Crops Research, 307, 109274.

TKACHUK O., PANTSYREVA H., KUPCHUK I., VOLYNETS Y., 2024, Soybean productivity of the Ukraine under ecologization of cultivation technology, Journal of Ecological Engineering, 25(5), pp. 279-293.

TOLEIKIENE M., SLAPETYS J., SARUNAITE L., LAZAUSKAS S., DEVEIKYTE I., KADZIULIENE Z., 2021, Soybean development and productivity in response to organic management above the northern boundary of soybean distribution in Europe, Agronomy, 11(2), pp. 214.

VIRK H.K., SINGH G., MANES G.S., 2018, Growth, symbiosis, productivity, and profitability of soybean at varying planting methods and nitrogen levels, Journal of Plant Nutrition, 41(9), pp. 1184-1196.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Florin Sala, Andreea Lidia Jurjescu, Klaudia Kincel, Camelia Urda

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


LUCRĂRI ȘTIINȚIFICE MANAGEMENT AGRICOL

ISSN print 1453-1410
ISSN online 2069-2307
(former ISSN 1453-1410, E-ISSN 2069-2307)

PUBLISHER: AGROPRINT Timisoara, Romania
PAPER ACCESS: Full text articles available for free
FREQUENCY: Annual
PUBLICATION LANGUAGE: English

______________________________________________________________________________________________

Banat`s University of Agricultural Sciences and Veterinary Medicine “King Michael I of Romania” from Timisoara
Faculty of Management and Rural Tourism
300645, Timisoara, Calea Aradului 119, Romania

E-mail: tabitaadamov2003 [at] yahoo.com
Phone: +40-256-277439, Fax.: +40-256-277031