Abstract:The aim of this study was to determine how often rural farmers in a watershed use no-tillage systems combined with crop rotation, contour farming and agricultural terraces. The study area was Paraná Watershed III (PB3) in the western region of Paraná State, and data from the 2006 Agricultural Census of the Brazilian Institute of geography and Statistics were used. A frequency distribution analysis of farms as a function of the no-tillage (NT) area was conducted in combination with a cluster analysis of soil an… Show more
“…Despite the benefits of NTS on the effective control of soil erosion, other soil conservation practices are necessary, such as contour farming and the use of agricultural terraces (Didoné et al, 2014;Londero et al, 2018;Telles et al, 2019). However, because farmers believed that erosion processes would be fully controlled in no-tillage areas, many of them eliminated all or part of the agricultural terraces and abandoned contour farming (Silva & Maria, 2011), which resulted in low-quality NTS (Denardin et al, 2008;Didoné et al, 2017).…”
The no-tillage system participatory quality index aims to evaluate the quality and efficiency of soil management under no-tillage systems and consists of a weighted sum of eight indicators: intensity of crop rotation, diversity of crop rotation, persistence of crop residues in the soil surface, frequency of soil tillage, use of agricultural terraces, evaluation of soil conservation, balance of soil fertilization and time of adoption of the no-tillage system. The aim of this study was to assess the extent to which these indicators correlate with the no-tillage system participatory quality index and to characterize the farmers who participated in the research. The data used were provided by ITAIPU Binacional for the indicators of the no-tillage system participatory quality index II. Descriptive analyses were performed, and the Pearson correlation coefficient between the index and each indicator was calculated. To assess the relationship between the indicators and the farmers’ behavior toward the indicators, principal component analysis and cluster analysis were performed. Although all correlations are significant at p-value ≤ 0.05, some correlations are weak, indicating a need for improvement of the index. The principal component analysis identified three principal components, which explained 66% of the variability of the data, and the cluster analysis separated the 121 farmers into five groups. It was verified that the no-tillage system participatory quality index II has some limitations and should therefore be reevaluated to increase its efficiency as an indicator of the quality of the no-tillage system.
“…Despite the benefits of NTS on the effective control of soil erosion, other soil conservation practices are necessary, such as contour farming and the use of agricultural terraces (Didoné et al, 2014;Londero et al, 2018;Telles et al, 2019). However, because farmers believed that erosion processes would be fully controlled in no-tillage areas, many of them eliminated all or part of the agricultural terraces and abandoned contour farming (Silva & Maria, 2011), which resulted in low-quality NTS (Denardin et al, 2008;Didoné et al, 2017).…”
The no-tillage system participatory quality index aims to evaluate the quality and efficiency of soil management under no-tillage systems and consists of a weighted sum of eight indicators: intensity of crop rotation, diversity of crop rotation, persistence of crop residues in the soil surface, frequency of soil tillage, use of agricultural terraces, evaluation of soil conservation, balance of soil fertilization and time of adoption of the no-tillage system. The aim of this study was to assess the extent to which these indicators correlate with the no-tillage system participatory quality index and to characterize the farmers who participated in the research. The data used were provided by ITAIPU Binacional for the indicators of the no-tillage system participatory quality index II. Descriptive analyses were performed, and the Pearson correlation coefficient between the index and each indicator was calculated. To assess the relationship between the indicators and the farmers’ behavior toward the indicators, principal component analysis and cluster analysis were performed. Although all correlations are significant at p-value ≤ 0.05, some correlations are weak, indicating a need for improvement of the index. The principal component analysis identified three principal components, which explained 66% of the variability of the data, and the cluster analysis separated the 121 farmers into five groups. It was verified that the no-tillage system participatory quality index II has some limitations and should therefore be reevaluated to increase its efficiency as an indicator of the quality of the no-tillage system.
“…This is an important indigenous technique as it reduces the need for water collection for irrigation of crops. Other studies suggest that this technique has been used in countries like Brazil to control and revert the problems caused by soil erosion (Telles et al, 2019). Similar studies also provide that this technique reduces runoff and improves 319 crop yields through soil moisture and retention (Farahani et al, 2016).…”
harvested are reported as benefits of these technologies. We found that traditional knowledge is not influenced by age (β = −0.006 ± 0.01, P = 0.64) or gender (β = −0.16 ± 0.25, P = 0.64) but rather correlates positively with geographic location, irrespective of the starting point of the distance measurement (distance from Port Elizabeth city: β = 0.002 ± 0.0008, P = 0.004; distance from Ngqushwa village: β = 0.0024 ± 0.0009, P = 0.008). Counterintuitively, formally educated people tend to have more traditional knowledge, but this is likely linked to the modern technologies (online survey and social media platforms) used to collect data during the COVID-19 pandemic. We suggest that traditional knowledge that has sustained life for centuries in rural communities must be integrated into water resource management to address water scarcity issues in rural Africa.
“…Grain production soil management is based on NT, with some control over surface runoff (terraces and contour farming). The remaining 8 % of the area consists of forests, reservoirs, and urban areas (Telles et al, 2019b). The responses to the questionnaire regarding the time for which NT practices have been implemented are given in figure 2.…”
In some rural properties of Brazil, soil and water conservation practices are partially or inappropriately implemented, intensifying soil erosion, even in no-tillage (NT) areas. This study aimed to check the farmer's understanding of conservation agriculture (CA) and assess whether they are using practices appropriate to soil conservation. A basin in the state of Paraná, in Southern Brazil, was selected. Surveys were conducted based on a structured questionnaire and in-person interviews of 234 farmers. Among these farmers, 67 % do not understand CA pillars adequately, and 68 % stated they have been using NT for over 12 years. However, 58 % stated that they carried out some kind of soil preparation. Furthermore, some of the farmers only partially implemented CA, adopting a low level of crop diversification. The main problems pointed out by the farmers to justify simplifying the CA approach were soil compaction, low production of plant biomass and resistance of weeds to herbicides. Most farmers in the study do not have enough knowledge of the pillars of CA. As a result, there is little diversification in crop rotation, and the soil is continually disturbed with chiseling. Furthermore, although most farmers use terracing, they drive sprayers crossing terraces and following the slope, a practice that can impair the capacity of terraces to control surface water runoff. These practices do not contribute to soil and water conservation and endanger the sustainability of agricultural production systems.
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