To obtain high yields in the soybean crop, it is necessary to have the minimum of competition among the plants.The objective of this work was to evaluate the influence of different spacing on productivity components and soybean yield. The design adopted was randomized blocks with 4 treatments (22, 44, 66 and 88 cm between rows) and six replicates. The cultivar used was 5909 with a population of 204 thousand plants per hectare. The response variables evaluated were plant height and first pod insertion, stem diameter, number of pods per plant, number of grains per pod, mass of one thousand grains and productivity. The height of plants and the diameter of the stem behaved in a quadratic manner, where the measure with which one increased the other reduced. The highest number of pods per plant (92) was obtained with the spacing of 64 cm between rows. The number of grainsper pod reduced linearly with increasing row spacing. The mass of 1000 grains and the productivity presented a quadratic behavior for the spacing, where the highest productivity 4772.60 kg ha-1was obtained with the spacing of 60 cm. The stem diameter showed a positive correlation with the number of pods per plant and with productivity. The height of insertion of the first pod showed a positive correlation with the mass of a thousand grains. The number of pods per plant was the variable that presented the highest correlation with productivity (0.84).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.