Diego Henrique Simon's research while affiliated with Universidade Federal de Santa Maria and other places

... Crude protein in animal feed is one of the key indicators of nutritional quality of silage (Soest, 2006) as it represents nutritive quality of silage when used as feed. Studies by Damian et al. (2017) observed significant increase in crude protein with increments in N fertilizers. Because, N determines productive potential for improving the CP besides improving the silage quality and N concentration in leaves (Księżak et al., 2012;Szulc et al., 2013). ...

... The best productivity was found in the treatments T2 and T3, showing that the spatial arrangement of plants, around 60.000 plants ha -1 in PI and PF, positively influenced productivity. Sangoi et al. (2012) and Vian et al. (2016) highlight that the corn crop is highly dependent on the plant population to achieve high grain yields since this plant has a low recovery capacity and higher grain yield. Density recommendations for favorable management, climate and soil conditions range between 65.000 and 80.000 plants ha -1 (Sangoi et al., 2019). ...

... A relação SS/AT mínima foi de 11,74 e a máxima de 16,35. Os frutos renderam de 44,6 a 55,2% de suco, em massa, o que é maior que o observado no norte do Rio Grande do Sul por Frighetto et al. (2014), com laranjeira 'Valência', principal cultivar do oeste catarinense. ...

... Subsequently, similar studies were conducted for other crops, such as coffee [77], black beans [78], fruit species [79], sugarcane [80], soybeans [81], and pasture [82]. Similarly, the spatial variability of crop yields also started to be investigated under additional parameters of sowing performance, such as seeding depth [83] and spacing [84], plant population [85,86], and yield components [84]. These studies resulted in insights into how crop yield variability could be explained by soil and climate parameters and into the quality of sowing operations and stand of plants. ...

... Another component that favors common bean responses to N fertilization is its intrinsic feature of poorly developed and shallow root systems (less than 0.20 m deep), reducing its capacity to absorb N and water in soil subsurface layers (Caires et al., 2016). In addition, the current cultivar cycles are short and commonly vary between 90-100 days (Menegol et al., 2015;Silveira and Gonzaga et al., 2017;Damian et al., 2018), making the crop highly demanding in terms of soil N availability. ...

... Since the early years of PA, several studies have investigated the characteristics of spatial variability of the chemical [43][44][45][46], physical [43,47], and, more recently, biological [48,49] attributes in Brazilian soils. Still, in the 2010s, some authors sought to define an "optimum" grid size (i.e., sampling density) for mapping the spatial variability of soil fertility attributes using geostatistical methods, in view of the expansion of this approach on Brazilian farms [50,51]. These studies agreed that although spatial variability varies according to inherent soil properties and management practices, sampling grids larger than 100 m × 100 m (1 sample ha⁻ 1 ) are often inefficient for characterizing most of soil fertility attributes in Brazilian agricultural fields [50]. ...