The data collected from the two years of research on assessing the impact of natural farming practices on quality parameters of cotton were presented and discussed on aspects like cotton yield and quality parameters.
Yield
Natural farming practices significantly affected seed cotton yield (Fig 1a and 1b). Integrated Crop management (T
8) practice showed the highest yields of 2178 and 2232 kg ha
-1 in 2021-22 and 2022-23, respectively. These treatments outperformed effects of organic and natural farming inputs like
jeevamirit, beejamirit and
ghanajeevamirit. Organic farming practices achieved yields of 1695 and 1768 kg ha
-1 in 2021-22 and 2022-23, respectively, next to ICM practices. Complete natural farming (T
2) consistently achieved the highest seed cotton yield in both years. The trend was also observed in seed yield and lint yield, as shown in Table 2. Previous studies (
Sahito et al., 2016;
Yaqoob et al., 2016) indicated that a strong positive correlation between lint yield and fiber fineness and
Velmurugan et al., (2022) found that Panchagavya,
Trichoderma viride and water (control) treatments influenced SVPR 2 cotton seed yield and quality and improved lint quality. As regards ICM, it combines inorganic fertilizer and organic manures to enhance yield and synchronizes crop nutrient demand with soil nutrient release, minimizing losses through leaching, runoff, volatilization and immobilization (
Tarfeen et al., 2023) while lower yields in recommended dose nutrient application with organic manure compared to ICM and OF due to slow nutrient release was reported by (
Mishra and Chaturvedi, 2023). The yield gap between chemical fertilizers, organic manures and natural farming practices decreased from the second year onwards which may be attributed to gradual nutrient release from organic manures, as seed cotton yield was strongly correlated with lint yield, while lint yield showed a strong positive correlation with lint percentage (
Desalegn et al., 2009).
Quality characters
Fiber quality is crucial to technology acceptance. Considering all parameters is essential to ensure fiber quality as it affects prices apart from Productivity. However, farming practices showed no significant variations in fibre qualities of cotton (Table 2 and 4).
Ginning percentage
Natural farming methods did not significantly differ in the ginning percentage, according to the experiments (Table 2).
Bharathi et al., (2018) and
Muthukrishnan et al., (2017) made comparable observations, finding that the ginning percentage values were marginally higher with fertilizer management approaches than the no manure treatment in both years. According to earlier studies (
Monicaa et al., 2020;
Tariq et al., 2018), fertilizer amounts did not affect the proportion of cotton that was ginned.
Upper half mean length
The UHML is a crucial quality parameter in cotton fiber that determines the spinning value. Cotton fiber development occurs in four phases: initiation, elongation, secondary deposition and maturation. There was no significant difference in UHML among different farming practices (Fig 2). The UHML values ranged from 25.50 to 28.89 mm for 2021-22 and 23.6 to 26.9 mm for 2022-23 (Table 4).
Barotova et al., (2023), UHML had classified 9 types (1a, 1b, 1, 2, 3, 4, 5, 6, 7) as depicted in Table 3. The CO 17 variety falls under types 4 to 7, indicating it is a medium staple length and it was confirmed by
Gunasekaran et al., (2020) with recorded values of 26.9 and 27.6 g/tex. Different fertilizer levels had no impact on fiber quality, consistent with findings by
Bharathi et al., (2018);
Tariq et al., (2018).
Sankaranarayanan et al., (2018) observed that varying fertilizer levels and planting systems did not significantly affect fiber length. Since quality parameters are primarily determined by genetics and minimally influenced by management practices, there were no significant differences, as supported by
Gacche and Gokhale (2018);
Xu et al., (2023).
Fiber strength (Str)
Fiber strength plays a crucial role in determining the durability and resilience of cotton textiles during processing. It remained unaffected by organic, natural and integrated farming practices in both years (Fig 2). The values ranged from 22.1 to 27.1 g/tex for 2021-22 and 23.0 to 29.5 g/tex for 2022-23, as shown in Table 4. Similar findings were reported by
Gunasekaran et al., (2020);
Velmurugan et al., (2022). Fiber strength was not influenced by different nutrient doses, as supported by
Bharathi et al., (2018);
Tariq et al., (2018) ;
Gacche and Gokhale (2018);
Sankaranarayanan et al., (2018). Strong cotton fibers yield robust yarns and fabrics, enhancing spinning efficiency. Longer and finer fibers generally result in stronger yarns, whereas shorter and coarser fibers are weaker and prone to breakage. Hence, cotton fibers with higher strength are deemed superior in quality and preferred for textile manufacturing (
Desalegn et al., 2009).
Uniformity index (Unf)
Uniformity Index is vital for assessing cotton fiber quality as it indicates the consistency of fiber length within a sample. Length uniformity directly influences spinning efficiency, yarn uniformity and yarn strength, reflecting the level of consistency within a sample (
Desalegn et al., 2009). However, in this study, there were no significant differences observed in the Uniformity Index among the treatments for both years (Table 4). A higher uniformity index ensures consistency in yarns and fabrics during textile production. Varying nutrient doses did not impact the quality parameter of uniformity ratio, which is consistent with findings reported by
Bharathi et al., (2018);
Sankaranarayanan et al., (2018);
Tariq et al., (2018).
Fiber elongation (Elg)
Factors like fiber maturity, fineness and moisture content play a role in cotton fiber elongation, but it was not influenced by different management practices. The values for elongation remained consistent between 5.5% and 6.1% in both years (Table 4). Higher fiber maturity typically leads to lower elongation, while finer fibers exhibit higher elongation. Moisture content also affects elongation, with dry fibers having lower elongation compared to moist fibers.
Hulihalli and Patil (2008) found that different fertilizer levels did not significantly affect fiber elongation.
Fiber fineness
Fiber fineness refers to the diameter of cotton fibers, which is crucial for determining appearance, strength and processing characteristics as endorsed by Desalegn
et al., (2009). However, farming practices did not affect fiber diameter. However, the Fineness values ranged from 144 to 188 d/tex in 2021-22 and 108 to 125 d/tex in 2022-23 (Table 4). Finer fibers with smaller diameters are preferred for high-quality apparel and fine fabrics, resulting in softer and more uniform textiles. Coarser fibers with larger diameters are suitable for heavy-duty applications like denim, providing strength. Both planting geometries (
Gacche and Gokhale, 2018) and varying nutrient doses (
Ahmad and Raza 2014) had no impact on fiber fineness.
Micronaire (Mic)
Micronaire values can range from 2.5 to 7.5, with lower values indicating finer and more matured fibers, while higher values suggest coarser and less mature fibers. In this study, the Micronaire value ranged from 4.52 to 5.50 µg/inch in 2021-22 and for 2022-23, it was 4.15 to 5.66 µg/inch (Table 4). While,
Gunasekaran et al., (2020) recorded Micronaire values of 4.3 and 4.4 µg/inch for the Cotton variety (CO 17) from different trial locations. This parameter also did not influence by different nutrient doses as supported by the findings of
Bharathi et al., (2018);
Sankaranarayanan et al., (2018);
Tariq et al., (2018).