Productivity of soybean in management zones with application of different sowing densities

Camicia, Rafaela Greici da Motta; Maggi, Marcio Furlan; Souza, Eduardo Godoy de; Bazzi, Claudio Leones; Konopatzki, Evandro André; Michelon, Gabriela Karoline; Pinheiro, José Bruno Santos

doi:10.1590/0103-8478cr20180532

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CROP PRODUCTION • Cienc. Rural 48 (12) • 2018 • https://doi.org/10.1590/0103-8478cr20180532 copy

Productivity of soybean in management zones with application of different sowing densities

Produtividade da soja em zonas de manejo com a aplicação de diferentes densidades de semeadura

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT:

The present study aimed to assess the efficiency of sowing at variable rates for soybean cultivation in two management zones (MZs) which were defined based on stable attributes and correlated with productivity using the Fuzzy C-means clustering algorithm and the kriging interpolation.Seeding was carried out in the 2015/2016 and 2017/2018 crops with a variation of 20% of seeds and crop row spacing of 0.70m. In each MZ, 8 plots with higher and lower seed density were established. Productivity was measured using a harvest monitor connected to a harvester. Data were filtered and submitted to descriptive analysis. Productivity maps were generated using the inverse square distance interpolation for each seeding density. In the MZ with the highest productive potential (MZ 1), the productivity was 3.39 and 3.18t ha^-1, and in the MZ with the lowest productive potential (MZ 2) the productivity was 3.30 and 3.11t ha^-1 for the years 2016 and 2018, respectively. Interpolation estimated higher productivity with the application of 15 plants m^-1. Based on the economic analysis, it is suggested in this study the application of 214,000 plants ha^-1 in both MZs.

Key words:
precision agriculture; grain production; management zones

Universidade Federal de Santa Maria Universidade Federal de Santa Maria, Centro de Ciências Rurais , 97105-900 Santa Maria RS Brazil , Tel.: +55 55 3220-8698 , Fax: +55 55 3220-8695 - Santa Maria - RS - Brazil
E-mail: cienciarural@mail.ufsm.br

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[1] E-mail: rafa_camicia@hotmail.com. ^*Corresponding author.

MZ	Plot	Number of dot	Average (t ha^-1)	Median error estimate	Standar (t ha^-1)	CV (%)	Mínimum (t ha^-1)	Máximum (t ha^-1)
--------------------------------------------------------------------------2015/2016 harvest---------------------------------------------------------------------
2	1	314	3.45a	0.042	0.75	21.71	1.7	5.2
2	2	915	3.29a	0.021	0.62	18.89	1.7	5.2
1	3	698	3.48a	0.026	0.70	20.20	1.8	5.2
1	4	721	3.41a	0.024	0.63	18.57	1.7	5.2
1	5	1050	3.34a	0.021	0.68	20.52	1.7	5.2
1	6	400	3.28a	0.029	0.58	17.75	1.7	5.2
2	7	438	3.14a	0.024	0.51	16.40	1.7	5.2
2	8	571	3.41a	0.030	0.72	21.26	1.8	5.2
2	9	599	3.37a	0.027	0.66	19.54	1.7	5.2
2	10	484	3.21a	0.031	0.68	21.18	1.7	5.2
1	11	654	3.50a	0.024	0.62	17.71	1.7	5.2
1	12	1209	3.37a	0.016	0.55	16.44	1.7	5.2
1	13	606	3.40a	0.031	0.77	22.52	1.7	5.2
1	14	931	3.37a	0.021	0.64	19.01	1.7	5.2
2	15	454	3.23a	0.025	0.54	16.79	1.7	5.1
2	16	1310	3.35a	0.018	0.67	19.98	1.7	5.2
--------------------------------------------------------------------------2017/2018 harvest---------------------------------------------------------------------
2	1	330	2.50b	0.034	0.62	19.32	1.2	5.1
2	2	905	3.21a	0.020	0.61	19.15	1.4	5.1
1	3	905	3.10ab	0.013	0.38	12.53	2.0	4.1
1	4	571	3.39a	0.023	0.56	15.82	1.9	4.7
1	5	782	3.46a	0.019	0.55	15.98	2.0	5.0
1	6	393	3.16ab	0.019	0.39	12.30	2.1	4.3
2	7	486	3.35a	0.034	0.75	22.40	1.2	5.6
2	8	522	3.39a	0.030	0.68	20.08	1.7	5.2
2	9	551	3.22a	0.027	0.64	19.90	1.6	5.1
2	10	565	3.08ab	0.028	0.66	21.44	1.2	5.1
1	11	617	3.11ab	0.017	0.44	14.20	1.6	4.5
1	12	799	3.51a	0.017	0.49	14.06	2.1	4.9
1	13	601	2.90ab	0.031	0.77	22.82	1.2	5.1
1	14	825	2.78b	0.016	0.46	16.71	1.3	4.2
2	15	448	3.04ab	0.025	0.53	17.08	1.6	4.6
2	16	1273	3.12ab	0.018	0.65	20.92	1.4	5.0