LGG_2025v16n6

Legume Genomics and Genetics 2025, Vol.16, No.6, 279-287 http://cropscipublisher.com/index.php/lgg 286 Bobrecka-Jamro D., Tobiasz-Salach R., Stadnik B., Jańczak-Pieniążek M., Kačániová M., and Migut D., 2023, Photosynthesis, yielding and quality of pea seeds depending on row spacing and sowing density, Journal of Water and Land Development, 56: 143730. https://doi.org/10.24425/jwld.2022.143730 Cammarano D., and De Santis M., 2024, Agronomic management factors impacting yield, quality stability, and environmental footprints of barley in a mediterranean environment, Field Crops Research, 310: 109334. https://doi.org/10.1016/j.fcr.2024.109334 Claupein W., Hartung J., Sobko O., Gruber S., and Zikeli S., 2019, Effect of sowing density on grain yield, protein and oil content and plant morphology of soybean (Glycine max L. Merrill), Plant Soil and Environment, 65(11): 594-601. https://doi.org/10.17221/346/2019-pse Daşgan H., and Balik S., 2025, The effect of seed sowing density on growth parameters in six different microgreen, Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 28(3): 661-671. https://doi.org/10.18016/ksutarimdoga.vi.1574906 Filho A., Alves T., Pindobeira W., Medelo M., and Ribera L., 2025, How does sowing density affect physiology, yield, and quality of red cabbage microgreens? Bragantia, 84(2): 232-240. https://doi.org/10.1590/1678-4499.20240232 Guo J., Liao Z., Wu P., Wang H., Zhang C., Fan J., Lai Z., Zhang F., Cheng M., Li Z., and Zeng H., 2022a, Effects of plant density, nitrogen rate and supplemental irrigation on photosynthesis, root growth, seed yield and water-nitrogen use efficiency of soybean under ridge-furrow plastic mulching, Agricultural Water Management, 271: 107688. https://doi.org/10.1016/j.agwat.2022.107688 Guo S., Zhang Z., Zhang F., and Yang X., 2022b, Optimizing cultivars and agricultural management practices can enhance soybean yield in Northeast China, Science of the Total Environment, 846: 159456. https://doi.org/10.1016/j.scitotenv.2022.159456 Han X., Yang J., and Qi Z., 2021, Analysis of soybean yield related traits under different planting density with different varieties, Hans Journal of Agricultural Sciences, 11(5): 417-430. https://doi.org/10.12677/hjas.2021.115058 Henry L., Buendía L., and Morel J., 2019, Exploring physiological traits for measuring response to competition in durum wheat, Plant Signaling & Behavior, 15(1): 1-4. https://doi.org/10.1080/15592324.2019.1692459 Howard R., Graef G., Jarquín D., Xu S., McHale L., Shannon J., Specht J., Cregan P., Mian R., Beavis W., Diers B., Xavier A., Rainey K., Wang D., Schapaugh W., Muir W., Lorenz A., Song Q., Ramasubramanian V., and Nelson R., 2017, Genome-wide analysis of grain yield stability and environmental interactions in a multiparental soybean population, G3: Genes, Genomes, Genetics, 8(2): 519-529. https://doi.org/10.1534/g3.117.300300 Huang X., Xu N., Zhang H., Mao T., Liu J., Wang D., Zhan Y., and Zhai Y., 2024, Planting density and sowing date strongly influence canopy characteristics and seed yield of soybean in southern Xinjiang, Agriculture, 14(11): 1892. https://doi.org/10.3390/agriculture14111892 Jańczak-Pieniążek M., Bobrecka-Jamro D., Jarecki W., Szpunar-Krok E., Tobiasz-Salach R., and Buczek J., 2021, Morphophysiology, productivity and quality of soybean (Glycine max (L.) Merr.) cv. Merlin in response to row spacing and seeding systems, Agronomy, 11(2): 403. https://doi.org/10.3390/agronomy11020403 Jańczak-Pieniążek M., Tobiasz-Salach R., and Augustyńska-Prejsnar A., 2023, Effect of different row spacing and sowing density on selected photosynthesis indices, yield, and quality of white lupine seeds, Agriculture, 13(9): 1845. https://doi.org/10.3390/agriculture13091845 Li B., and Li J., 2022, Optimized deep neural network and its application in fine sowing of crops, Computational Intelligence and Neuroscience, 2022: 3650702. https://doi.org/10.1155/2022/3650702 Maxwell B., and Loewen S., 2024, Optimizing crop seeding rates on organic grain farms using on-farm precision experimentation, Field Crops Research, 312: 109593. https://doi.org/10.1016/j.fcr.2024.109593 Muguerza M., Hashiguchi M., Niimi M., Ishigaki G., and Prasojo Y., 2023, The effects of different sowing methods and planting density on yield components of soybean (Glycine max) under intercropping with Rhodes grass (Chloris gayana Kunth.), Australian Journal of Crop Science, 17(10): 3880. https://doi.org/10.21475/ajcs.23.17.10.p3880 Mumford M., Forknall C., Rodriguez D., Kelly A., and Eyre J., 2023, Incorporating environmental covariates to explore genotype × environment × management interactions: A one-stage predictive model, Field Crops Research, 309: 109133. https://doi.org/10.1016/j.fcr.2023.109133 Naik N., Danve S., and Shete V., 2016, Precision agriculture robot for seeding function, International Conference on Inventive Computation Technologies (ICICT), 2: 1-3. https://doi.org/10.1109/inventive.2016.7824880

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