Abstract
The oat panicle components were changed by the forms of nitrogen use influencing productivity. The aim of the study was to determine the direct and indirect effects of oat panicle components on grain yield by N-fertilizer rates in succession systems of high and reduced release of N-residual. The study was conducted in the years 2013 and 2014 in a randomized complete block with four replications in a factorial 3 × 2, for nitrogen rates (30, 60 and 120 kg·ha-1) and oat cultivars (Barbarasul and Brisasul) the soybean/oat and corn/oat systems. The panicle weight and grain per panicle show greater sensitivity to the change of nitrogen rates. Grain yield was favored by the direct effect of harvest index panicle and indirect by grain weight per panicle. In the system soybean/ oat, the grain weight of panicle shows greater efficiency in promoting positive direct effects on grain yield.
Highlights
The winter crop rotation is a common practice in agricultural production, essential for the development of a more sustainable agriculture [1]
The grain yield in oats is incremented with the increased availability of nitrogen, promoting effects that alter the expression of yield components [4]
The correct nitrogen management highlights the need to meet the dynamics of use by oats at elaboration of the yield components [8]
Summary
The winter crop rotation is a common practice in agricultural production, essential for the development of a more sustainable agriculture [1]. The correct nitrogen management highlights the need to meet the dynamics of use by oats at elaboration of the yield components [8]. In this way, the association of grain yield with the components of the inflorescence represents a strategy that can optimize forms of nutrient use [9]. In the understanding and sizing of cause and effect relationships, path analysis has been used in the study of various species, as example, oat [10], wheat [11], soybean [12], sunflower [8] among others This method is based on evaluation of the effect of an independent variable (x) over a dependent variable (y), after removing the influence of all other independent variables [11]
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