The data related to the seed and straw yield of soybean, weed dry weight at different stages and weed seed bank as influenced by long term nutrient management treatments during the course of investigation were critically interpreted and results are presented below.
The dominant monocot and dicot weeds associated with soybean during experimentation were
Brachiaria erucifrmis, Cyperus rotundus among monocots and
Phyllanthus niruri, Acalypha indica, Ipomoea maxima, Euphorbia geniculata, Euphorbia microphylla among dicots.
Seed yield and straw yield of soybean as influenced by different treatments
Seed yield (Kg ha-1)
The data on seed yield (kg ha
-1) of soybean showed significant differences among the treatments due to the long-term nutrient management.
Significantly higher seed yield (2518, 2442 and 2480 kg ha
-1) was recorded with the treatment receiving 100%NPK+FYM which was on par with the treatments receiving 150% NPK (2333, 2398 and 2366 kg ha
-1), 100%NPK + Zn (2259, 2348 and 2304 kg ha
-1) and 100% NPK (2258, 2334 and 2297 kg ha
-1). While, the lowest seed yield was recorded with the control (898, 944 and 921 kg ha
-1) and 100% N (1037, 1044 and 1041 kg ha
-1) during 2023, 2024 and pooled analysis.
The increased seed yield observed under the combined application of inorganic fertilizers and organic sources may be attributed to a sustained supply of nutrients and more efficient utilization of applied inputs. This improvement can be linked to enhanced microbial activity, which plays a key role in nutrient transformation and fixation processes. Comparable results have also been reported by
Arbad and Ismail (2011) and
Ravankar et al. (1995). In contrast, the reduced yield recorded under the application of 100% nitrogen alone may be associated with increased soil acidity and the gradual deterioration of soil quality resulting from the continuous use of nitrogen over several years
(Dutta et al., 2013). Khandare et al. (2026) also reported higher soybean and safflower yields with application of 100% NPK+5 t FYM ha
-1 along with maximum and significantly more population of bacteria, fungi, actinomycetes and soil microbial biomass C.
Straw yield (kg ha-1)
Analysis of the data presented in Table 1 revealed that straw yield differed significantly among the various nutrient management practices. The highest straw yield (3526, 3131 and 3329 kg ha
-1) was obtained with the application of 100% NPK in combination with FYM, which proved superior to the other treatments during 2023. However, in 2024 and based on pooled mean data, this treatment remained statistically comparable with 150% NPK, followed by 100% NPK + Zn and 100% NPK. The lowest straw yield was observed under the control treatment, followed by the application of 100% nitrogen alone.
Weed studies
Data related to the weed seed bank and the dry weight of weeds at different growth stages during 2023 and 2024, as influenced by various treatments, are presented in Table 2 to 5.
Weed seed bank studies
Weed seed bank at 0-5 cm soil depth (no.kg-1 soil)
At the 0-5 cm soil depth, the number of monocot weed seeds varied significantly across treatments. The highest monocot seed count was recorded under 100% NPK + Zn (2.96 and 3.06 kg
-1 soil), followed by FYM @ 10 t ha
-1 (T
9) (2.33 and 2.64 kg
-1 soil), 100% NPK - S (T
8) (2.00 and 2.28 kg
-1 soil) and 150% NPK. In contrast, the lowest number of monocot weed seeds was observed in the control treatment and in plots receiving 100% nitrogen alone (T
6), followed by 50% NPK during both years of the study.
A significantly higher number of dicot weed seeds was also recorded under 100% NPK + Zn, followed by FYM @ 10 t ha
-1 and 100% NP. The lowest dicot seed population was found in the 50% NPK treatment. Similarly, the total weed seed bank was highest under 100% NPK + Zn, followed by FYM @ 10 t ha
-1 and 100% NP, whereas the minimum number of weed seeds was recorded in plots receiving 50% NPK.
Weed seed bank at 5 -10 cm soil depth (No. kg-1 soil)
At soil depth of 5-10 cm depth overall number of weed seeds was lower as compared to 0-5 cm depth. Among the treatments significantly higher number of monocot, dicot and total weed seeds were observed under 100%NPK +Zn (6.2 and 6.84 kg
-1 of soil) followed by FYM @10 t/ha during first and second year of study respectively. Significantly lower number of monocot weed seeds was noticed in 50% NPK and 100% N and absolute control treatments.
From this study, it was observed that, the abundance of weed seeds decreased with increase in soil depth irrespective of the nutrient management treatments, similar o he observations made by
(Kelton et al., 2011). There excised substantial variations in soil nutrient contents among different treatments and substantial temporal changes in nutrient conditions under each treatment. Thus, weed species with a narrow nutrient niche are likely to be eliminated gradually. In addition, fertilization treatments might have also affected the competition between weed and crop
(Yin et al., 2006).
Total weed seeds were higher in 100%NPK +Zn followed by FYM @10 t/ha during first and second year of experimentation respectively. Significantly lesser number of monocot weeds was observed in 50% NPK and absolute control.
Dry weight of weeds (gm-2 )
The data on weed dry weight at different growth stages of soybean are presented in Table 4 and 5.
Dry weight of weeds at 15 DAS
From the data (Table 5), it was observed that at 15 DAS there were no significant difference with respect to weed dry weight of dicot weeds during first year of study while during second year significantly higher weed dry matter was observed in treatment FYM@10t/ha and 100%NPK+FYM@ 5 t/ha while, lower dry weigh of broad leaf weeds was recorded in control. Regarding data on dry weight of monocot weeds was significantly higher in 100% NP which was on par with 150% NPK while, lower dry weight of monocot weeds was recorded in100% N. With respect to the total weed dry weight FYM @10 t/ha (T
9) recorded higher weed dry weight (4.34 gm
-2) and it was at par with 100% NPK+FYM@ 5 t/ha, 100% NP (3.48 gm
-2) and 150% NPK (2.68 gm
-2). The results of present study were observed to be in line with the findings of
Khatri et al. (2020) who reported that application of FYM @ 10 t ha
-1 followed by recommended fertilizer dose recorded higher weed density and dry weed weight compared to any of N, P
2O
5 and K
2O or all nutrient omitted treatments. While the control treatment recorded a lower weed dry weight (0.51g m
-2).
Dry weight of weeds at 30 DAS
Significantly higher dry weight of dicot weeds was recorded in treatment 100% NPK + Zn (T
4) and it was at par with 100% NP (T
5) and FYM @10 t/ha (T
9) at 30 DAS during first and second year of study (Table 5). While, lower dicot weed dry weight was recorded in 50% NP (0.5 g m
-2). For monocot weeds, the effect of treatments was observed to be non significant during first year and during second year FYM @10t/ha recorded highest dry weigh of monocot weeds.
Treatment 100%NPK + Zn (T
4) recorded higher total weed dry weight and it was at par with FYM @10 t/ha (4.34 and 3.41 g m
-2) and 150% NPK, while 50% NPK and control recorded lower weed dry weight. Higher weed dry matter under treatments with FYM application could be attributed to the increased availability of nutrients in a balanced form and improved physio-chemical properties of the soil (Table 6). Significantly lower dry matter accumulation by weeds was recorded under the treatment with no fertilizer application. The application of manure in cropping systems increases weed density and biomass (
Kaur and Kaur, 2018). The use of both organic and inorganic fertilizers in agro-systems not only benefits the crop but also weeds, whose nutrient uptake system is more efficient than that of crop plants
(Hunkova et al., 2011). Application of 100% organics (100% Rec. N through different organic sources each equivalent to 1/3 of Rec. N
i.e. FYM+ vermicompost + non edible oil cake) + VAM produced significantly higher crop yield coupled with organically weed management practice
i.e. weed free and application of rice bran @ 4 t ha
-1 which not only were economically viable and efficient organic weed management options but also kept dominant weeds below threshold level
(Sharma et al., 2023).