The importance of selecting an appropriate berseem variety and implementing effective nutrient management practices is crucial for maximizing both the production and economic potential of forage crops. This was clearly demonstrated in a field experiment conducted during the rabi seasons of 2019–2020 and 2020–2021. The experimental setup was a factorial randomized block design incorporating five berseem varieties (Mescavi, HB-1, HB-2, BL-10, and BL-42) and five integrated nutrient management practices: 100% recommended dose of fertilizers (RDF) or NM-1, 75% RDF + plant growth-promoting rhizobacteria (PGPR) or NM-2, 75% RDF + municipal solid waste compost (MSWC) or NM-3, 75% RDF + farmyard manure (FYM) + PGPR or NM-4, and 50% RDF + MSWC + PGPR or NM-5. The objective of the experiment was to evaluate the physio-morphological responses, biomass yield, and economic efficiencies of different berseem varieties under various nutrient management practices. The experimental results highlighted the superior performance of the BL-42 variety in terms of growth and yield attributes compared to the other tested berseem varieties. Specifically, BL-42 showed an enhancement in total green fodder yield by 17.10%, 26.60%, 37.75%, and 28.04% over the varieties BL-10, HB-2, HB-1, and Mescavi, respectively. Moreover, the application of the 75% RDF + FYM + PGPR treatment (NM-4) significantly boosted the total green fodder yield by 13.08%, 14.29%, 34.48%, and 39.02% over the 75% RDF + MSWC, 100% RDF, 75% RDF + PGPR, and 50% RDF + MSWC + PGPR treatments, respectively. In terms of economic returns, BL-42 achieved a significantly higher gross return (GR) and net return (NR) of 194,989 ₹/ha and 145,142 ₹/ha, respectively, compared to the GR and NR of BL-10 (166,512 and 116,665 ₹/ha, respectively). Similarly, the nutrient management practice of 75% RDF + FYM + PGPR recorded the highest GR and NR (191,638 and 137,346 ₹/ha, respectively) compared to the 100% RDF treatment (167,593 and 120,716 ₹/ha, respectively). These findings underscore the critical role of variety selection and tailored nutrient management in optimizing both the yield and economic gains in forage crop cultivation. The significant differences in production and returns highlight the potential of targeted agronomic strategies to enhance the profitability and sustainability of forage farming.
Keywords: berseem; green fodder yield; leaf area index; integrated nutrient management; municipal solid waste compost
The genus Trifolium, belonging to the Leguminosae family, comprises approximately 240 species, with White clover (T. repens), Red clover (T. pratense L.), Alsike clover (T. hybridum L.), and Egyptian clover (T. alexandrinum L.) being the most prominent [[
Attaining the optimal yield of berseem remains a considerable challenge in India, primarily due to the suboptimal application of fertilizers and compost in forage crops. Notably, when an adequate amount of fertilizer is applied to berseem, a marked increase in the yield is observed. This is particularly noteworthy given berseem's classification as a legume, which typically requires less nitrogen due to its nitrogen-fixing capabilities. However, empirical evidence indicates that nitrogen application at varying rates, ranging from 30 kg ha
The strategic selection of berseem varieties, tailored to specific agro-climatic zones and local environmental conditions, is a critical factor in optimizing yield [[
This investigation was conducted over two consecutive rabi (winter) seasons during 2019–2020 and 2020–2021 at the Agronomy Research Farm of the ICAR-National Dairy Research Institute, situated in Karnal, Haryana, India. Geographically, the farm is positioned at 29°45′ north latitude and 76°58′ east longitude at an elevation of 245 m above mean sea level (MSL). The local climate is predominantly sub-tropical and sub-humid, characterized by sweltering summers. Climatically, Karnal experiences a semi-arid, sub-tropical milieu marked by extreme temperature fluctuations. The hottest months, May and June, exhibit average temperatures ranging from 41 °C to 45 °C. Conversely, the coldest months, December and January, record mean minimum temperatures fluctuating between 1.9 °C and 5 °C, with frost being a frequent occurrence during this period.
Temperature metrics, both maximum and minimum, exhibit an upward trend commencing in early February and persisting until June. The annual precipitation at the experimental site is approximately 690–720 mm, with a substantial 70% accruing during the monsoon months of July to September, while the remainder is distributed across the winter and spring. The bulk of the annual rainfall is primarily confined to the monsoon period, supplemented by occasional cyclonic showers in the winter and spring. The site's mean annual evaporation is recorded at approximately 1520.3 mm, with the daily pan evaporation rates peaking at 10.9 mm in June and dipping to a minimal 1.5 mm in January. The evapotranspiration rate mirrors the temperature pattern throughout the crop cycle. The relative humidity escalates from June through to September.
The meteorological observatory of the ICAR-CSSRI, Karnal, meticulously recorded and compiled the average weekly meteorological data for the standard weeks during the cropping seasons of 2019–2020 and 2020–2021, which is depicted in Figure 1.
The initial physicochemical properties of the experimental site can be seen in Table 1. The study was structured as a factorial randomized block design, incorporating three replications. It encompassed a total of 25 treatment combinations, bifurcated into two distinct factors: berseem varieties and integrated nutrient management strategies. These were further subdivided into five tiers each, with specifics delineated in Table 2. The cultivation of berseem was conducted in a sequential cropping pattern, followed by kharif (rainy season) fodder maize across both years in which the residual impact of the treatments applied in berseem was assessed.
For the berseem crops, the recommended dose of nitrogen, phosphorus, and potassium (RDNPK) was set at 20-60-40 kg ha
The harvesting of fodder maize was meticulously conducted upon the attainment of the 50% flowering phase. This process commenced with the strategic removal of plants from the peripheral rows to mitigate any border effect, subsequently followed by the harvest of the central plot area, following the methodology described by [[
The harvesting of fodder maize was meticulously conducted upon the attainment of the 50% flowering phase. This process commenced with the strategic removal of plants from the peripheral rows to mitigate any border effect, subsequently followed by the harvest of the central plot area, flowing the methodology described by [[
The number of nodules per plant was accurately measured by counting all the nodules on the roots of five specifically chosen plants. Each plant's nodules were carefully inspected and counted. Then, an average of these counts was calculated to represent the average number of nodules per plant. This method provided a precise and accurate evaluation of nodule density in the sampled plants [[
In each plot, five plants were randomly chosen and cut near the ground. Their leaves were then carefully removed and counted. A selection of these leaves was used to determine the leaf area using two methods: a manual graphical technique and a CI-203 laser area meter. The leaf area of all the leaves was estimated by multiplying the area of the sampled leaves by the total leaf count from the five plants, providing an average leaf area per plant. The leaf area index (LAI) was then calculated following the method and formula described by [[
The economic analysis solely focused on the variable production costs. These costs included human labor, machinery use (such as tractors, plows, planters, etc.), input expenses (seeds, fertilizers, and pesticides), and costs for harvesting and threshing. The value of the land was not included in the production cost. Costs for different farming activities during crop growth were calculated separately for each item. The total cost was determined by summing up the expenses for all operations according to each treatment on a per-hectare basis, expressed in ₹/ha. The gross returns per hectare were calculated by multiplying the total yield of fodder or straw with the current market prices of berseem and fodder maize. The net returns were calculated by subtracting the total cultivation cost from the gross returns for each treatment. The benefit–cost ratio (BCR) was determined by dividing the net returns by the cultivation cost for different treatments. The economic efficiency was calculated by considering the yield and gross return in relation to the duration of the crop growth, the formula of which is given below:
Net Returns = Gross returns ((₹/ha) − Total cost of cultivation (₹/ha)
The returns per rupee invested (RPRI) was calculating using the following:
The data collected for various parameters were analyzed using the analysis of variance (ANOVA) technique, as outlined by Gomez and Gomez in 1984, for a factorial randomized block design. This analysis was performed using SAS 9.1 software from the SAS Institute in Cary, NC, USA. To determine the effects of the treatments, the least significant difference (LSD) test was applied at a 5% significance level (p = 0.05).
The results indicated that out of the factors studied—different years, berseem varieties, and integrated nutrient management (INM) approaches—the latter two significantly affected the plant height of berseem at various cutting stages (Table 3). At 30 days after sowing (DAS) and up to the second cut, the Mescavi variety had the highest plant height (40.41, 81.31, and 82.44 cm, respectively) compared to other tested varieties. However, its performance was poorer in the later stages (third, fourth, and fifth cutting) compared to the HB-2, BL-10, and BL-42 varieties. In contrast, the BL-42 variety showed significantly greater plant heights during the third, fourth, and fifth cuts (81.44, 75.78, and 66.81 cm, respectively), followed by the BL-10 variety at these stages (77.07, 69.59, and 56.13 cm, respectively). Compared to Mescavi, the BL-42 variety exhibited 8.17%, 39.30%, and 58.22% higher plant heights at the third, fourth, and fifth cuts, respectively.
The different INM schemes showed varying effects on the plant heights of berseem varieties. Initially, applying 100% RDF led to the best plant height at the first and second cuts (80.87 and 81.48 cm, respectively), which was comparable to the plants fertilized with 75% RDF in addition to FYM and PGPR (79.72 and 80.07 cm, respectively). However, in the later stages of harvesting (third, fourth, and fifth cuts), the highest plant heights were observed in the treatment with 75% RDF + FYM + PGPR (82.42, 70.35, and 56.89 cm, respectively), surpassing those with 100% RDF application. Specifically, at these later stages, the application of 75% RDF + FYM + PGPR resulted in plant heights that were 3.70%, 5.76%, and 9.30% higher, respectively, compared to 100% RDF.
Conversely, the lowest plant heights at the first, second, and third cuts were observed in the treatment with 50% RDF + municipal solid waste compost (MSWC) + PGPR (67.67, 71.96, and 70.72 cm, respectively). In the fourth and fifth cuts, the lowest plant heights were recorded in the treatment with 75% RDF + PGPR (61.22 and 47.96 cm, respectively) when compared to the other tested nutrient management practices.
The quantity of leaves is crucial for the herbage yield of different fodder crops, affecting their nutritional value and palatability. The data indicates that the number of leaves can be influenced by the variety of the crop and the nutrient management practices that are employed. According to the pooled data presented in Table 4, the number of leaves per plant was significantly affected by different berseem varieties and the combined use of organic and inorganic nutrients. However, the number of leaves was not significantly impacted by the study years.
Regarding the berseem varieties, Mescavi showed a higher number of functional leaves in the initial stages (
In terms of nutrient management, the treatment with 75% RDF + FYM + PGPR resulted in a higher number of functional leaves across all stages (first cut: 19.62, second cut: 21.76, third cut: 23.72, fourth cut: 21.19, and fifth cut: 14.85). This was followed by the treatment with 100% RDF, which showed 18.89 and 21.37 leaves at the first and second cuts, respectively. In the later stages, the treatment with 75% RDF + FYM + PGPR significantly increased the number of trifoliate leaves by 9.54%, 18.27%, and 22.11% over the 100% RDF treatment at the third, fourth, and fifth cuts, respectively. Conversely, the lowest number of leaves was observed in the treatment with 50% RDF + MSWC + PGPR across all stages (first cut: 14.60, second cut: 16.50, third cut: 18.06, fourth cut: 16.21, and fifth cut: 10.04 leaves).
The leaf area index (LAI) is a key indicator of a plant's ability to capture sunlight for photosynthesis, impacting the yield of fodder crops. The LAI of berseem varieties was not significantly influenced by the study years. A detailed outcome of the mean data presented in Table 5 shows a noticeable increase in the LAI due to different berseem varieties and integrated nutrient management practices. Among the berseem varieties, Mescavi showed a significantly higher LAI in the early stages (30 DAS: 0.63, first cut: 0.79, second cut: 0.93). Conversely, BL-42 had a significantly higher LAI in the later stages (third cut: 0.86, fourth cut: 0.80, fifth cut: 0.78) compared to all the cuts of HB-1 and HB-2. BL-10 performed better than the other varieties, except BL-42, with LAI values of 0.47 at 30 DAS, 0.63 at the first cut, 0.80 at the second cut, 0.81 at the third cut, 0.75 at the fourth cut, and 0.69 at the fifth cut, showing parity with BL-42. In terms of nutrient management, the highest LAI was recorded in the treatment with 100% RDF in the initial two cuts (0.61 at 30 DAS, 0.77 at the first cut, and 0.95 at the second cut), followed by the treatment with 75% RDF + FYM + PGPR (0.58 at 30 DAS, 0.74 at the first cut, and 0.92 at the second cut), which was statistically on par with 100% RDF. However, in the later stages (third, fourth, and fifth cuts), the 75% RDF + FYM + PGPR treatment showed a significantly higher LAI (0.92, 0.84, and 0.78, respectively) compared to 100% RDF (0.76, 0.71, and 0.66, respectively). The treatment with 75% RDF + MSWC had a maximum LAI of 0.81 in the second cut, significantly higher than the 75% RDF + PGPR (0.64) and 50% RDF + MSWC + PGPR (0.56) treatments.
The data on the root nodules of berseem varieties, as influenced by study years, varieties, and nutrient management, are presented in Table 6. The results indicate that while the study years did not significantly affect the number of root nodules, variations in berseem varieties and nutrient management practices did.
Among the berseem varieties, BL-42 showed the highest number of root nodules per plant across all cuts (first cut: 65.99, second cut: 85.75, third cut: 103.53, fourth cut: 98.29, and fifth cut: 87.53 nodules). BL-10 followed, with higher numbers in the second (77.16), third (95.58), fourth (91.67), and fifth cuts (76.99 nodules). The HB-2 variety had nodules at 30 days after sowing (DAS) (18.26), increasing through the first (54.43), second (71.42), third (93.15), fourth (89.41), to the fifth cut (76.12 nodules). HB-1 had similar numbers, with 18.01 nodules at 30 DAS, and increasing through the first (53.36), second (69.06), third (91.48), fourth (86.35), to the fifth cut (71.13 nodules). BL-42 showed significantly higher nodule numbers than HB-2 and HB-1 at the third cut by 11.14% and 13.16%, respectively. Mescavi, in contrast, had fewer nodules in the third (87.62), fourth (77.89), and fifth cuts (59.83 nodules).
Regarding nutrient management, the treatment with 75% RDF + FYM + PGPR resulted in the highest number of nodules per plant (30 DAS: 25.48, first cut: 66.04, second cut: 82.64, third cut: 101.51, fourth cut: 95.55, and fifth cut: 80.42 nodules). This was followed by the treatment with 75% RDF + PGPR (30 DAS: 22.04, first cut: 62.22, second cut: 75.85, third cut: 94.51, fourth cut: 88.85, and fifth cut: 74.84 nodules). The lowest number of nodules was observed in the treatment with 50% RDF + MSWC + PGPR (30 DAS: 17.66, first cut: 52.41, second cut: 70.27, third cut: 87.59, fourth cut: 81.78, and fifth cut: 67.79 nodules), which was comparable to the 100% RDF treatment at the fourth and fifth cuts. The berseem varieties fertilized with 75% RDF + FYM + PGPR had higher nodule numbers at all cuts (first to fifth cuts: 19.17%, 13.35%, 12.21%, 12.28%, and 13.25% higher, respectively) compared to 100% RDF.
Regarding the various berseem varieties, BL-42 recorded the highest total green fodder production, reaching 97.49 tons per hectare, surpassing BL-10 and HB-2, which produced 83.26 and 77.01 tons per hectare, respectively. BL-42's performance exceeded other varieties by a range of 17.10% to 28.04%. While Mescavi yielded the highest in the initial cuts, BL-42 dominated in the subsequent stages (Table 7).
In terms of nutrient management, the combination of 75% RDF + FYM + PGPR was the most productive, yielding an impressive 95.85 tons per hectare of green fodder. This INM strategy proved to be significantly more effective than the alternatives, including 75% RDF + MSWC, 100% RDF, and the other tested treatments.
As for dry fodder yield, the study year, berseem variety, and nutrient management approach did not show a significant influence. Mescavi led in the initial yield, but BL-42 outperformed it in the later harvests. In total, BL-42 achieved the highest dry fodder production, amounting to 14.42 tons per hectare, markedly surpassing the yields of the other varieties.
When assessing the nutrient management effect on dry fodder yield, the 100% RDF treatment initially led the way, but the 75% RDF combined with FYM and PGPR excelled both in the later cuts and overall. This approach significantly enhanced the yield across all stages, demonstrating its superiority over other nutrient management practices.
The cost of cultivation (CoC) for various berseem varieties was calculated based on the prevailing rates for inputs, labor, and produce during the crop's growing period. According to the data (Table 8), the CoC for berseem was not significantly affected by the variety of berseem or the study years. Additionally, the data showed that among the different nutrient management options, the use of 75% RDF + PGPR and the use of 100% RDF was associated with a lower CoC. In contrast, a higher CoC was observed with the use of 75% RDF combined with FYM and PGPR.
The results indicated that both gross return (GR) and net return (NR) for different varieties of berseem were not significantly affected by the study years, as detailed in Table 7. Among the berseem varieties, BL-42 achieved the highest significant GR and NR, with 194,989 and 145,142 ₹ ha
Comparing the different nutrient management options, the application of 75% RDF + FYM + PGPR resulted in the highest GR and NR, amounting to 191,638 and 137,346 ₹ ha
The results indicated that the benefit–cost ratio of different varieties of berseem and various nutrient management approaches did not show significant variation across the study years, as seen in Table 7. Among the berseem varieties, BL-42 exhibited the highest BCR at 2.91, surpassing other varieties such as BL-10 (2.34), Mescavi (2.04), and HB-2 (2.09). The BCRs for Mescavi and HB-2 were not significantly different from the other varieties. The lowest BCR was recorded for the HB-1 variety at 1.84, compared to the other berseem varieties.
In terms of nutrient management approaches, the highest BCR was observed in the treatment with 100% RDF, standing at 2.58, which was statistically on par with the 75% RDF combined with FYM and PGPR at 2.53. The BCR for the 75% RDF combined with MSWC was 2.28, which was significantly higher than that of the 75% RDF combined with PGPR (2.11) and the 50% RDF combined with MSWC and PGPR (1.72).
The data presented in Table 8 showed no significant differences in economic efficiency across different study years. Analyzing the data for various berseem varieties, BL-42 emerged as the most economically efficient, with a significant lead at 1114.22 ₹ha
In terms of nutrient management approaches, the 75% RDF + FYM + PGPR treatment achieved the highest economic efficiency at 1095.07 ₹ ha
The data presented in Table 9 indicate that the production efficiency and return per rupee invested (RPRI) of the system were not significantly impacted during the study year. Analysis of different berseem varieties revealed that BL-42 exhibited the highest production efficiency and RPRI, with values of 5.58 q ha
Plant height and the number of leaves, essential measures of vegetative growth, and the number of leaves, which directly correlate with herbage yield and its nutritional value, are influenced by several factors, including the genetic makeup of the crop variety, soil health, nutrient availability, and environmental interactions [[
Regarding the influence of berseem varieties on plant height, the initial advantage of the Mescavi variety in the early growth stages could be attributed to its genetic predisposition for rapid early growth, which is a desirable trait for early forage [[
The impact of different INM approaches on plant height also highlights the importance of nutrient management in crop growth. The initial efficacy of a 100% recommended dose of fertilizers (RDFs) in promoting plant height can be linked to the immediate availability of essential nutrients in chemical fertilizers, which are readily absorbed by the plants, promoting rapid early growth [[
The number of leaves on berseem plants, a direct indicator of the crop's potential for herbage yield, was also significantly influenced by the variety and nutrient management practices. The higher number of functional leaves in the Mescavi variety during the initial growth stages suggests a genetic inclination towards rapid leaf development, which is beneficial for early forage production. However, the BL-42 variety's capacity to produce a higher number of leaves in the later stages points towards its ability to sustain leaf production over an extended period. This could be due to genetic factors that regulate leaf senescence and photosynthetic efficiency, enabling the plant to continue producing leaves even as it matures. The BL-42 variety, therefore, appears to have a genetic makeup that supports prolonged vegetative growth and productivity, which is crucial for extended forage availability.
In the context of berseem (Trifolium alexandrinum L.) cultivation, the observed variations in green and dry fodder yields can be attributed to a complex interplay of genetic, edaphic, and management factors. The differential performance of the BL-42 variety in terms of higher yield efficiency underscores the genetic predisposition of certain cultivars towards enhanced photosynthetic capacity, nutrient uptake, and growth characteristics [[
From a nutrient management perspective, the integration of a 75% recommended dose of fertilizers (RDFs) with farmyard manure (FYM) and plant growth-promoting rhizobacteria (PGPR) has demonstrated a synergistic effect on yield [[
Phosphorus, as a key macronutrient, plays a critical role in energy transfer, photosynthesis, and nutrient transport within the plant [[
The study revealed that factors such as the cost of cultivation, gross return, net return, and benefit–cost ratio were not significantly impacted by the study years, as indicated in Table 7. The cost of cultivation remained consistent across the different varieties of berseem, primarily because the seed costs were similar for all the varieties. However, the cultivation cost was lower for treatments using a 75% recommended dose of fertilizers (RDFs) with plant growth-promoting rhizobacteria (PGPR) and 100% RDF, in comparison to the 75% RDF combined with farmyard manure (FYM) and 75% RDF with municipal solid waste compost (MSWC). This is attributed to the higher input costs associated with FYM and MSWC compared to chemical fertilizers.
In terms of economic returns, the BL-42 variety of berseem stood out, exhibiting the highest gross return, net return, and benefit–cost ratio (194,989, 145,142 ₹ ha
Additionally, among the different nutrient management techniques, the application of 75% RDF + FYM + PGPR recorded the highest GR and NR (191,638 and 137,346, ₹ ha
The results indicate that the production efficiency, RPRI, and economic efficiency of berseem varieties were not significantly influenced by the study years of the experiment. However, due to the effect of the different varieties of berseem and integrated nutrient management option production efficiencies, the RPRI and economic efficiency were significantly influenced by the RPRI. The economic efficiency was recorded in the HB-2 variety, which was reported on par with the Mescavi variety. A significantly lower production efficiency, RPRI, and economic efficiency were observed with the HB-1 variety of berseem compared to the rest of the varieties. The highest value of production efficiency, RPRI, and economic efficiency might be due to the higher production of green fodder yield, which depends on the genetic makeup of the varieties of berseem. Similar results were reported earlier by other studies [[
Based on the experimental findings, it is evident that the productivity of berseem is significantly influenced by the interplay between different varieties and nutrient management practices. After a thorough two-year study, a key conclusion can be drawn: to achieve higher yields of both green and dry fodder in berseem, the BL-42 variety, when treated with the nutrient management practice of 75% recommended dose of fertilizers (RDFs) combined with farmyard manure (FYM) and plant growth-promoting rhizobacteria (PGPR), is highly recommendable. This recommendation is rooted in the consistent performance of the BL-42 variety under the 75% RDF + FYM + PGPR treatment, which demonstrated a markedly higher production per unit area. This superiority was maintained from the initial first cut through to the last fifth cut, surpassing other combinations of berseem varieties and nutrient management practices. The experimental results, therefore, advocate for the adoption of this specific variety and nutrient management strategy to optimize berseem cultivation, ensuring sustained high yields across multiple harvests.
Further work in the future can be conducted to identify site-specific precise nutrient management approaches for berseem production as well as better nutrient management technologies for higher seed production.
Graph: Figure 1 Weakly average temperature, weekly average relative humidity, and weekly cumulative rainfall during the crop season of 2019–2020 and 2020–2021 (Note: the x-axis indicates the standard meteorological week and month and weekly average temperature (°C) and the weekly average relative humidity (%) is plotted on the left y-axis while the weekly cumulative rainfall (mm) (cyan-colored bars are plotted on the right y-axis).
Table 1 Physicochemical properties of the initial soil sample.
Soil Properties 0–15 cm 15–30 cm Sand % 46.36 45.5 Silt % 20.55 21.20 Clay % 34.09 33.20 Texture Clay loam Clay loam Bulk density (g m−3) 1.49 ± 0.03 1.52 ± 0.02 Water stable aggregates 48.7 ± 0.09 45.1 ± 0.07 EC1:2 (dS m−1) 30 ± 0.05 0.33 ± 0.04 pH1:2 7.90 ± 0.06 8.00 ± 0.05 Organic carbon (%) 0.63 ± 0.04 0.58 ± 0.07 KMnO4 nitrogen (N) kg ha−1 201.5 ± 0.97 181.5 ± 0.65 Olsen phosphorus (P) kg ha−1 26.49 ± 1.62 22.92 ± 1.05 NH4OAc potassium (K) kg ha−1 231.1 ± 8.59 202 ± 1.05 DTPA extractable Fe mg kg−1 9.20 ± 0.12 8.46 ± 0.12 DTPA extractable Mn mg kg−1 7.50 ± 0.15 6.85 ± 0.14 DTPA extractable Zn mg kg−1 0.60 ± 0.03 0.52 ± 0.04 DTPA extractable Cu mg kg−1 0.65 ± 0.05 0.61 ± 0.07
Table 2 Details of the experimental treatments.
Factor A: Berseem Varieties Factor B: Nutrient Management Residual Fodder Winter Kharif CS-1 Mescavi NM-1 100% RDF Maize (J-1006) CS-2 HB-1 NM-2 75% RDF + PGPR Maize (J-1006) CS-3 HB-2 NM-3 75% RDF + MSWC Maize (J-1006) CS-4 BL-10 NM-4 75% RDF + PGPR + FYM Maize (J-1006) CS-5 BL-42 NM-5 50% RDF + MSWC + PGPR Maize (J-1006)
Table 3 Effect of varieties and integrated nutrient management on the plant heights of berseem.
Treatments Plant Height (cm) 30 DAS I-Cut II-Cut III-Cut IV-Cut V-Cut 2019 35.42 75.34 77.05 76.52 65.80 52.28 2020 35.56 75.36 77.05 76.55 65.74 52.22 SEm (±) 0.57 0.65 0.66 0.69 0.655 0.71 LSD ( NS NS NS NS NS NS Mescavi 40.41 a 81.31 a 82.44 a 75.29 bc 54.40 e 41.79 d HB-1 31.82 c 71.23 d 72.75 c 73.45 c 63.39 d 48.15 c HB-2 32.18 c 72.31 d 73.07 c 75.45 bc 65.69 c 49.06 c BL-10 35.79 b 74.77 c 76.17 b 77.07 b 69.59 b 56.13 b BL-42 37.26 b 77.13 b 80.84 a 81.44 a 75.78 a 66.11 a SEm (±) 0.90 1.04 1.05 1.10 1.02 1.13 LSD ( 1.79 2.1 2.09 2.18 2.03 2.24 100% RDF 39.35 a 80.87 a 81.48 a 79.49 b 66.52 b 52.05 c 75% RDF + PGPR 32.40 c 70.85 c 73.98 c 72.51 c 61.22 c 47.96 d 75% RDF + MSWC 36.15 b 77.64 b 77.77 b 77.55 b 68.27 b 54.33 b 75% RDF + FYM + PGPR 39.00 a 79.72 a 80.07 a 82.42 a 70.35 a 56.89 a 50% RDF + MSWC + PGPR 30.05 d 67.67 d 71.96 c 70.72 c 62.48 c 50.01 cd SEm (±) 0.90 1.04 1.05 1.10 1.02 1.13 LSD ( 1.79 2.10 2.09 2.18 2.03 2.24
Table 4 Effect of varieties and integrated nutrient management on the number of leaves of berseem.
Treatments Number of Trifoliate Leaves Plant−1 30 DAS I-Cut II-Cut III-Cut IV-Cut V-Cut 6.76 17.46 19.36 20.77 17.57 11.99 6.88 17.23 19.54 20.85 18.50 11.93 SEm (±) 0.25 0.58 0.49 0.47 0.45 0.41 LSD ( NS NS NS NS NS NS Mescavi 7.79 a 20.76 a 21.31 a 20.62 b 13.00 d 8.17 d HB-1 6.10 c 15.44 c 17.72 d 20.00 b 17.26 c 11.16 c HB-2 6.27 c 15.74 c 18.52 cd 20.09 b 18.17 c 11.67 c BL-10 6.8 bc 17.04 bc 19.55 bc 21.19 ab 20.10 b 13.32 b BL-42 7.13 ab 17.76 b 20.16 ab 22.14 a 21.64 a 15.47 a SEm (±) 0.40 0.92 0.78 0.75 0.71 0.65 LSD ( 0.80 1.82 1.56 1.49 1.40 1.29 100% RDF 7.96 a 18.89 ab 21.37 ab 21.66 b 17.92 b 12.16 b 75% RDF + PGPR 5.95 c 15.92 cd 17.71 c 19.03 c 15.81 c 9.40 c 75% RDF + MSWC 7.02 b 17.71 bc 19.91 b 21.58 b 19.05 b 13.36 b 75% RDF + FYM + PGPR 7.76 ab 19.62 a 21.76 a 23.72 a 21.19 a 14.85 a 50% RDF + MSWC + PGPR 5.41 c 14.60 d 16.50 c 18.06 c 16.21 c 10.04 c SEm (±) 0.40 0.92 0.78 0.75 0.71 0.65 LSD ( 0.80 1.82 1.56 1.49 1.40 1.29
Table 5 Effect of varieties and integrated nutrient management on the leaf area index (LAI) of berseem.
Treatments LAI 30 DAS I-Cut II-Cut III-Cut IV-Cut V-Cut 2019 0.50 0.63 0.77 0.79 0.68 0.64 2020 0.48 0.62 0.78 0.79 0.69 0.63 SEm (±) 0.02 0.03 0.03 0.03 0.02 0.23 LSD ( NS NS NS NS NS NS Mescavi 0.63 a 0.79 a 0.93 a 0.78 ab 0.55 d 0.45 c HB-1 0.40 c 0.48 a 0.63 c 0.72 b 0.65 c 0.63 b HB-2 0.41 c 0.54 c 0.68 c 0.78 ab 0.67 bc 0.64 b BL-10 0.47 bc 0.63 b 0.80 b 0.81 a 0.75 ab 0.69 b BL-42 0.54 b 0.69 b 0.84 ab 0.86 a 0.80 a 0.78 a SEm (±) 0.04 0.05 0.05 0.05 0.04 0.05 LSD ( 0.08 0.09 0.11 0.09 0.08 0.11 100% RDF 0.61 a 0.77 a 0.95 a 0.76 b 0.71 b 0.66 b 75% RDF + PGPR 0.40 c 0.50 b 0.64 c 0.80 b 0.54 c 0.50 c 75% RDF + MSWC 0.52 b 0.69 a 0.81 b 0.75 b 0.79 a 0.73 a 75% RDF + FYM + PGPR 0.58 ab 0.74 a 0.92 a 0.92 a 0.84 a 0.78 a 50% RDF + MSWC + PGPR 0.34 c 0.44 b 0.56 c 0.72 b 0.54 c 0.51 c SEm (±) 0.04 0.05 0.05 0.05 0.04 0.05 LSD ( 0.08 0.09 0.11 0.09 0.08 0.11
Table 6 Effect of varieties and integrated nutrient management on the number of nodules of berseem varieties.
Treatments Number of Nodules Plant−1 30 DAS I-Cut II-Cut III-Cut IV-Cut V-Cut 20.65 58.48 75.87 94.18 88.71 74.41 21.15 58.82 76.12 96.36 88.73 74.23 SEm (±) 0.54 0.70 0.88 1.41 1.19 1.22 LSD ( NS NS NS NS NS NS Mescavi 24.73 a 60.86 b 76.58 b 87.62 c 77.89 d 59.83 d HB-1 18.01 d 53.36 d 69.06 c 91.48 bc 86.35 c 71.13 c HB-2 18.26 d 54.43 d 71.42 c 93.15 b 89.41 bc 76.12 b BL-10 20.50 c 58.59 c 77.16 b 95.58 b 91.67 b 76.99 b BL-42 22.98 b 65.99 a 85.75 a 103.53 a 98.29 a 87.53 a SEm(±) 0.86 1.10 1.39 2.24 1.89 1.92 LSD ( 1.72 2.19 2.77 4.44 3.74 3.82 100% RDF 19.60 c 55.41 c 72.90 c 90.46 cd 85.10 c 71.01 c 75% RDF + PGPR 22.04 b 62.22 b 75.85 b 94.51 bc 88.85 b 74.84 b 75% RDF + MSWC 19.70 c 57.15 c 78.32 b 97.29 ab 92.33 ab 77.53 ab 75% RDF + FYM + PGPR 25.48 a 66.04 a 82.64 a 101.51 a 95.55 a 80.42 a 50% RDF + MSWC + PGPR 17.66 d 52.41 d 70.27 c 87.59 d 81.78 c 67.79 c SEm (±) 0.86 1.10 1.39 2.24 1.89 1.92 LSD ( 1.72 2.19 2.77 4.44 3.74 3.82
Table 7 Effect of varieties and integrated nutrient management on the green fodder yield of berseem.
Treatments Green Fodder Yield (t ha−1) I-Cut II-Cut III-Cut IV-Cut V-Cut Total Cut 2019 13.36 19.41 20.36 16.73 11.16 81.14 2020 13.38 19.33 20.27 16.71 11.04 80.73 SEm (±) 0.46 0.54 0.52 0.52 0.48 1.12 LSD ( NS NS NS NS NS NS Mescavi 18.20 a 22.04 a 19.54 bc 10.92 d 5.16 d 76.15 c HB-1 10.99 d 16.61 d 18.23 c 15.46 c 9.48 c 70.77 d HB-2 11.27 cd 17.90 cd 19.67 bc 17.55 b 10.63 bc 77.01 c BL-10 12.50 bc 19.34 bc 21.05 b 18.54 b 11.83 b 83.26 b BL-42 13.88 b 20.97 ab 23.08 a 21.17 a 18.40 a 97.49 a SEm (±) 0.72 0.85 0.82 0.81 0.76 1.76 LSD ( 1.44 1.68 1.65 1.61 1.50 3.50 100% RDF 15.50 a 21.30 a 21.34 b 15.57 c 10.09 c 83.86 b 75% RDF + PGPR 11.59 c 17.54 b 18.40 c 14.41 c 9.30 c 71.27 c 75% RDF + MSWC 13.29 b 20.02 a 20.82 b 18.49 b 12.07 b 84.76 b 75% RDF + FYM + PGPR 15.63 a 21.51 a 23.75 a 20.56 a 14.37 a 95.85 a 50% RDF + MSWC + PGPR 10.84 c 16.50 b 17.25 c 14.60 c 9.65 c 68.94 c SEm (±) 0.72 0.85 0.82 0.81 0.76 1.76 LSD ( 1.44 1.68 1.65 1.61 1.50 3.50
Table 8 Effect of varieties and integrated nutrient management on the economics of berseem.
Treatments Cost of Cultivation (₹ ha−1) Gross Return Net Return B:C Ratio 2019 49,847 162,043 112,196 2.25 2020 49,847 161,468 111,621 2.24 SEm (±) - 2213 2213 0.05 LSD ( - NS NS NS Mescavi 49,847 151,705 c 101,858 c 2.04 c HB-1 49,847 141,549 d 91,702 d 1.84 d HB-2 49,847 154,022 c 104,175 c 2.09 c BL-10 49,847 166,512 b 116,665 b 2.34 b BL-42 49,847 194,989 a 145,142 a 2.91 a SEm (±) - 3499 3499 0.07 LSD ( - 6944 6944 0.14 100% RDF 46,877 167,593 b 120,716 b 2.58 a 75% RDF + PGPR 45,792 142,473 c 96,682 c 2.11 c 75% RDF + MSWC 51,667 169,387 b 117,720 b 2.28 b 75% RDF + FYM + PGPR 54,292 191,638 a 137,346 a 2.53 a 50% RDF + MSWC + PGPR 50,607 137,685 c 87,079 d 1.72 d SEm (±) - 3499 3499 0.07 LSD ( - 6944 6944 0.14
Table 9 Effect of varieties and integrated nutrient management on the production efficiency, economic efficiency, and RPRI of berseem.
Treatments Production Efficiency RPRI (₹ ha−1) Economic Efficiency 2019 4.63 3.25 925.96 2020 4.63 3.23 922.67 Sem (±) 0.07 0.05 12.64 LSD ( NS NS NS Mescavi 4.37 c 3.04 c 866.88 c HB-1 4.05 d 2.84 d 808.85 d HB-2 4.41 c 3.09 c 880.12 c BL-10 4.77 b 3.34 b 951.50 b BL-42 5.58 a 3.91 a 1114.22 a Sem (±) 0.10 0.07 19.39 LSD ( 0.29 0.14 3.67 100% RDF 4.86 b 3.58 a 957.67 b 75% RDF + PGPR 4.07 c 3.11 c 814.13 c 75% RDF + MSWC 4.82 b 3.28 b 967.93 b 75% RDF + FYM + PGPR 5.42 a 3.53 a 1095.07 a 50% RDF + MSWC + PGPR 4.01 c 2.72 d 786.77 c Sem (±) 0.10 0.07 19.39 LSD ( 0.29 0.14 3.67
Conceptualization, R.K., R.K.M., H.R. and A.K.; methodology, R.K., P.S.H., S.K., B.B. (Bisworanjita Biswal) and S.B.; software, S.B., P.S.P., G.A. and S.K.; validation B. and R.K.; formal analysis, S.K., R.K., A.K., H.R., S.B. and B.; investigation, S.K., K.B. and R.K.; data curation, S.K., R.K. and G.A.; writing—original draft preparation, P.S.H., P.S.P., S.K. and S.J.; visualization, K.G., P.S.P. and P.S.H. All authors have read and agreed to the published version of the manuscript.
The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
The authors would like to acknowledge the ICAR National Dairy Research Institute, Karnal (India), and ICAR-Central Soil Salinity Research Institute, Karnal (India), for providing the necessary facilities and fellowship to carry out this work.
By Phool Singh Hindoriya; Rakesh Kumar; Rajesh Kumar Meena; Hardev Ram; Ashwani Kumar; Suryakanta Kashyap; Bisworanjita Biswal; Kanika Bhakuni; Prasanna S. Pyati; Kamal Garg; Simran Jasht; Ghous Ali; Birbal and Subhradip Bhattacharjee
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