Yield components of soybean cultivars under sowing densities
Sowing densities did not cause significant variations of grain yield (bags ha-1) for any cultivar, however, higher populational densities promoted a reduction in the number of pods with two and three grains, as well as a reduction in the total number of pods and grains per plant for both cultivars....
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Veröffentlicht in: | Revista Ceres 2022-08, Vol.69 (4), p.416-424 |
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Zusammenfassung: | Sowing densities did not cause significant variations of grain yield (bags ha-1) for any cultivar, however, higher populational densities promoted a reduction in the number of pods with two and three grains, as well as a reduction in the total number of pods and grains per plant for both cultivars. [...]this response can be affected by soybean's high plasticity, which consists of the ability to adapt to environmental and management conditions, through morphological changes and yield components, to adapt them to the available space and the competition condition imposed by the arrangement of plants, thus maintaining its yield even in face of significant variations in plant density (Lopes & Lima,2015; De Luca et al., 2014; Cruz et al., 2016; Ferreira et al., 2018). [...]genotypes may respond differently to sowing densities, which means a certain cultivar can be more productive in either higher or lower populations (Soares et al., 2015). In this sense, while some authors have verified sowing densities may interfere with soybean yield (Soares et al., 2015; Balbinot Junior et al., 2016), others have found this characteristic did not variate as a function of plant population (Procópio et al., 2013; Ribeiro et al., 2017). [...]the aim of this study was to assess yield components and grain yield of soybean cultivars in response to sowing densities. Yijk=v+C +Pj+(cą,+Bk+? where Y..k is the mean value observed of the response variable in plot ijk, m is the overall mean, C. is the fixed effect of level i (i = 1, 2) of the cultivar factor, P. is the fixed effect of level j j = 271111, 303111, 312889, 331556, 343556) of the population factor, (CP), is the interaction effect of level i of the cultivar factor with level j of the population factor, ßk is the random effect of the block (k = 1, 2 and 3) and £.jk is the effect of the experimental error, considered normal and independently distributed with a mean of zero and a common variance a2 (Storck et al., 2016). |
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ISSN: | 0034-737X 2177-3491 2177-3491 |
DOI: | 10.1590/0034-737x202269040005 |