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Agricultural Science Digest, volume 43 issue 6 (december 2023) : 767-775

Influence of Precision Nutrient Management on Dry Matter Accumulation and Partitioning of Rice in Southern Odisha

Lalichetti Sagar1,*, Sagar Maitra1, Sultan Singh2, Masina Sairam1
1Department of Agronomy, Centurion University of Technology and Management, Bhubaneswar-761 211, Odisha, India.
2Department of Agronomy, Sri Karan Narendra Agricultural University, Jobner-303 328, Rajasthan, India.
Cite article:- Sagar Lalichetti, Maitra Sagar, Singh Sultan, Sairam Masina (2024). Influence of Precision Nutrient Management on Dry Matter Accumulation and Partitioning of Rice in Southern Odisha . Agricultural Science Digest. 43(6): 767-775. doi: 10.18805/ag.D-5822.

Background: The nutrient management practices are largely known to influence dry matter accumulation and translocation in rice. However, the role of precision nutrient management in dry matter partitioning to the reproductive parts of rice is still unexplored.

Methods: The present trial was conducted during boro season of 2021-22 at PG Experimental Farm, MSSSoA, CUTM, Odisha. The experiment was laid out in randomized block design with 11treatments that were replicated thrice. The treatments examined under the investigation were namely, absolute control, 75% recommended dose of fertilizer (RDF), 100% RDF, 125% RDF, 75% RDF fb nano urea spray @ 2ml/L at panicle initiation, 100% RDF fb nano urea spray @ 2ml/L at panicle initiation, leaf colour chart (LCC) 3 basednitrogen management, LCC 4 based nitrogen management, sufficiency Index (SI)-based N management at a threshold value less than 90%, Nutrient expert (NE) based nutrient recommendation, Rice crop manager (RCM) based nutrient recommendation.

Result: The results of the study indicated that SI-based N management at a threshold value less than 90% results in highest allocation, shoot dry matter to the panicle (53.46%); while, absolute control of nutrients resulted in highest percentage allocation of shoot dry matter to culm (23.72%) and leaves (33.88%) during maturity.

The availability of nutrients, particularly nitrogen (N), phosphorus (P) and potassium (K), plays a crucial role in determining the productivity of rice (Shankar et al., 2022). Over the past fifty years, there has been a significant increase in the application of N, P and K fertilizers but the rice crop’s response to these added fertilizers has been diminishing (Shenoy, 2020). Inefficient utilization of N, P and K fertilizers not only reduces rice yield but also contributes to significant environmental pollution (Singh and Sapkota, 2022). As rice serves as the primary staple food crop for over half of the global population, the declining productivity of rice poses a critical challenge to food security (Mohanta et al., 2021). Given the current situation, precision nutrient management has emerged as a promising alternative. This approach utilizes optical sensors or decision support tools to tailor fertilizer recommendations according to specific rice varieties and the agro-climatic conditions of a particular region.
       
Enhancing the longevity of leaf greenness during the grain filling stage is expected to improve the allocation of biomass towards the reproductive structures of rice plants (Kamal et al., 2019). This is crucial because photosynthesis during the grain-filling period contributes significantly, around 60 to 80%, to the final carbon content of the grains. The remaining carbon content comes from stored carbohydrates in the leaf sheaths and culms that were deposited before flowering (Yoshida, 1981). The availability of nutrients, particularly nitrogen, plays a significant role in determining the greenness of rice leaves, especially under favorable weather conditions. However, when nutrient availability is limited, plants tend to allocate a larger proportion of biomass to their roots rather than their shoots (Saghaiesh and Souri, 2018; Hermans et al., 2006). Additionally, the allocation of accumulated shoot biomass to vegetative and reproductive structures is not constant and can vary depending on nutrient availability.
       
The high yielding variety “Naveen” is highly recommended for cultivation during the boro season in southern Odisha. To enhance the productivity of the variety in the specific agro-climatic region, with minimum environmental degradation, it is essential to develop a comprehensive understanding of how the precise management of nutrients affects the accumulation and distribution of dry matter into the reproductive organs. Additionally, this understanding enables the customization of fertilizer recommendations using smart tools and decision support systems, ultimately leading to the development of an effective fertilizer application schedule. Based on the above facts, a field trial conducted to study the influence of nutrients in dry matter partitioning in boro rice.
The study took place in the boro season of 2021-22 at the PG Experimental Farm of M.S. Swaminathan School of Agriculture, Centurion University of Technology and Management in Odisha, India. The farm is located at coordinates 18°48'18"N and 84°10'45"E, with an elevation of 88 meters above mean sea level. The study took place in an irrigated environment and the crop received a total of 6.6 mm of rainfall during its growth period. The average minimum temperature varied from 15.7 to 26.7°C, while the maximum temperature ranged from 27.4 to 38.1°C. In the duration of the crop season, the relative humidity at 7 a.m. and 2 p.m. averaged at 92.8% and 55.1%, respectively. The crop season also had an average of 8.8 hours of sunshine per day. The soil of the experimental field was sandy loam in texture, slightly acidic in reaction (6.23 pH), low in organic carbon (0.34%), available nitrogen (176 kg/ha), available zinc (0.58 ppm) and medium in phosphorus (16 kg/ha), potassium (127 kg/ha), respectively.
       
The rice variety Naveen (IET 14461, CR 749-20-2) was sown on 08th December, 2021 with a seed rate of 40 kg/ha in nursery and later transplanted in the main field on 07th January, 2022. The fertilizers were applied as per the treatments. The experiment was conducted in randomized block design with eleven treatments that were replicated thrice. The treatments probed under this investigation were namely, absolute control, 75% recommended dose of fertilizer (RDF), 100% RDF (120-60-60  N-P2O5-K2O), 125% RDF, 75% RDF fb nano urea spray @ 2 ml/L at panicle initiation, 100% RDF fb nano urea spray @ 2 ml/L at panicle initiation, leaf colour chart (LCC) 3 based  nitrogen management, LCC 4 based nitrogen management, Sufficiency Index (SI)-based N management at a threshold value less than 90%, Nutrient Expert (NE)-based nutrient recommendation (109-35-58 N-P2O5-K2O), Rice Crop Manager (RCM)-based nutrient recommendation (112-32-25 N-P2O5-K2O).
       
The data related to dry matter (DM) accumulation and distribution at different growth stages, namely, tillering, heading and maturity. For each treatment, five individual rice plants were selected and harvested at each growth stage. The harvested plants were then separated into leaves, culms and panicles, which were subsequently dried in paper bags at 65°C and weighed using an electronic balance. The average dry weights of the leaves, culms and panicles were calculated. The shoot dry matter was determined by summing up the dry weights of all above ground plant components. All the observations were statistically analyzed by F-test at 5 percent level of significance (Gomez and Gomez, 1984).
Growth parameters
 
The height of rice plants progressively increased with advancement in age and the tallest plants were observed at the time of harvest (Fig 1). The height of the plant was primarily influenced by the culm height until it reached the heading stage. Afterward, the length of the panicle played a crucial role in determining the overall height of the plant. The precision nutrient management treatments had a significant impact on plant height at all the stages of growth. Among the treatments, the SI-based N management treatment recorded significantly taller rice plants over absolute control (no fertilizer application) at 30, 60, 90 DAT and at harvest. Nitrogen is a crucial element found in chlorophyll and contributes to cell division and elongation. Phosphorus is involved in energy transfer, photosynthesis,  and the movement of nutrients to various plant parts. Potassium also plays a vital role in the transportation of water, nutrients and carbohydrates within the plant, as well as in the activation of enzymes. These factors could explain the observed outcomes.
 

Fig 1: Influence of precision nutrient management on plant height of boro rice.


       
A perusal of data indicated a progressive increase in number of tillers per square meter up to 60 DAT and then declined thereafter towards maturity irrespective of precision nutrient management (Fig 2). Nevertheless, among the treatments, the SI-based N management noted significantly maximum number of tillers per hill compared to control. The growth of tiller primordium relies on the appropriate and sufficient supply of macro-nutrients, especially nitrogen. Nitrogen plays a crucial role in increasing the cytokinin levels within the tiller nodes and promoting the sprouting of tiller primordium. However, as the number of tillers increases over time, a competition arises for nutrients, light and moisture. The competition among tillers leads to a higher degree of variation in the distribution of photosynthates. To effectively address this issue, the natural occurrence of tiller mortality proves to be highly advantageous.
 
 

Fig 2: Influence of precision nutrient management on number of tillers/m2 of boro rice.


       
The earlier research conducted by Subedi et al., (2019); Ali et al., (2015) and Bhat et al., (2022) in rice supports the aforementioned discussion regarding plant height and the number of tillers per square meter observed at various dates.
 
Culm dry matter accumulation
 
The perusal of data presented in Table 1 revealed a significant influence of precision nutrient management on culm dry matter accumulation at all the three growth stages, viz., tillering, heading and maturity stages analyzed in this study. Among all the treatments, SI-based N management with an index value less than 90 per cent was noted to record the significantly highest accumulation of dry matter into the culm during tillering and heading stages. The treatments namely nitrogen management based on LCC with a threshold of 4, nutrient management guided by NE and RCM at tillering stage performed equally well. At heading stage, the treatments like 125% RDF, LCC 4 based nitrogen management and the application of 100% RDF followed by nano urea spray at a rate of 2 ml/L during panicle initiation remained on par with the superior treatment. At maturity, 125% RDF recorded to be superior in terms of culm dry matter accumulation and remained on par with all the treatments under comparison except with absolute control which exhibited the lowest culm dry matter accumulation. Plant nutrients perform various important functions throughout different stages of crop growth. During the vegetative stage, nitrogen enhances plant vigor by stimulating the growth of tillers, increasing leaf size and number. Phosphorus, on the other hand, contributes to root development, while potassium strengthens the culm and provides resistance against both biotic and abiotic stresses. The quantity and timing of nutrient application are crucial factors that influence the accumulation of dry matter in the culm. As the crop progresses towards the heading stage, the culm dry matter gradually increases. However, after this stage, there are no significant differences in culm dry matter accumulation. Interestingly, treatments with a higher proportion of potassium compared to increased nitrogen application demonstrate an increase in culm dry matter production at maturity. In contrast, other treatments exhibit a declining trend, which can be attributed to specific physiological role of nutrients in rice. Previous findings of (Amanullah and Inamullah, 2016; Wu et al., 2023) in rice and Santana et al., (2023) in sugarcane regarding culm dry matter were in corroboration with this discussion.
 

Table 1: Culm dry matter (g/hill) at different growth stages of rice as influenced by precision nutrient management.


 
Leaf dry matter accumulation
 
The data revealed that the leaf dry matter accumulation was significantly influenced by precision nutrient management during tillering, heading and maturity stages (Table 2). At tillering stage, SI-based N management with an index value less than 90% was found to record the significantly highest leaf dry matter accumulation which remained on par with nutrient management guided by NE and RCM. Similarly, at heading stage, SI-based N management with an index value less than 90 per cent was found to record the significantly highest leaf dry matter accumulation and these results were comparable with leaf dry accumulated by 125% RDF, nitrogen management based on LCC with a threshold of 4, 100% RDF with and without additional application of nano urea spray at 2 ml/L during panicle initiation, nutrient recommendation using RCM and nutrient recommendation using NE. At maturity, the highest dry matter accumulation was observed with application of fertilizers at 125% RDF which was closely followed and remained on par by all the treatments under comparison except with application of fertilizers at 75% of the recommended dose and absolute control which recorded the lowest leaf dry matter accumulation. Leaves play a vital role in conducting photosynthesis, making them an important site for active metabolic activities. When evaluating the photosynthetic contribution of various plant parts during maturity, it is essential to consider the longevity of the green tissue. While the panicle tends to turn yellow relatively early during ripening, the leaves should retain their green colour for a longer duration. This longevity is primarily influenced by the availability of nutrients in accordance with the crop’s requirements. Of all the primary nutrients, nitrogen plays a particularly crucial role in determining the functionality of leaves from the heading stage until maturity. This is because nitrogen levels are closely associated with the chlorophyll content in rice crop. These findings corroborate with the findings of Song et al., (2020) and Yao et al., (2014).
 

Table 2: Leaf dry matter (g/hill) at different growth stages of rice as influenced by precision nutrient management.


 
Panicle dry matter accumulation
 
The data on panicle dry matter accumulation was recorded heading and at maturity (Table 3). During heading and maturity stages, the highest panicle dry matter accumulation was noted by SI-based nitrogen management with a threshold value less than 90% which remained on par with 125% RDF and LCC-based nitrogen management at a threshold 4 while the lowest panicle dry matter accumulation was noted by absolute control. After heading, nitrogen uptake becomes increasingly significant, especially when aiming for high yields by increasing the harvest index. The SI-based N management approach ensures the optimal supply of nitrogen during critical crop growth stages, leading to improved translocation of the absorbed dry matter from the straw to the primary sink. The higher allocation of dry matter to panicles at maturity indicates an enhanced movement of dry matter from leaves and culms towards the grain-bearing structures or sink during the grain filling period. These findings are supported by the earlier findings of Meena et al., (2019) and Paul et al., (2021).
 

Table 3: Panicle dry matter (g/hill) at different growth stages of rice as influenced by precision nutrient management.


 
Shoot dry matter accumulation
 
The data on shoot dry matter was recorded at tillering, heading and maturity stages and present in Table 4. The data reveals an increasing trend in shoot dry matter accumulation with the advancement in age of the rice crop and percentage accumulation of shoot dry matter was comparatively higher between tillering and heading than between heading and at maturity. At tillering stage, the significantly highest dry matter accumulation was recorded by SI-based N management at a threshold value less than 90% which remained on par with nutrient management guided by NE and RCM. At heading stage, SI-based N management at a threshold value less than 90% was found to be significantly superior to control in terms of shoot dry matter accumulation and remained on par with 125% RDF and LCC-based N management at a threshold 4. At maturity stage, the highest dry matter accumulation was observed with application of 125%RDF which remained on par with SI-based N management at a threshold value less than 90%, LCC based nitrogen management at a threshold 4, 100% RDF with additional application of nano urea at 2 ml/L during panicle initiation, 100% RDF without nano urea application and nutrient management guided by RCM. The absolute control treatment consistently displayed the lowest dry matter accumulation across all three phenophases under consideration.The reason behind this occurrence could be attributed to the fact that precise nutrient management enhances the availability of nutrients, leading to an increased conversion of carbohydrates into proteins. This heightened protein synthesis stimulates cellular activities in the growing regions of the plant, such as cell division and elongation. These physiological processes manifest in visible traits like taller plant height and a greater number of tillers per plant. Consequently, this contributes to a greater accumulation of dry matter in the above-ground parts of the plant. The findings in this trial were similar to the earlier findings of Nayaka et al., (2021) and Puteh et al., (2014).
 

Table 4: Shoot dry matter (g/hill) at different growth stages of rice as influenced by precision nutrient management.


 
Dry matter partitioning
 
During the early growth stage of rice, specifically the tillering phase, there were no notable differences in the percentage of dry matter partitioning between the leaves and culms when precision nutrient management was employed (Table 5). However, the partitioning of dry matter into the leaves was higher than that into the culms at the tillering stage. As the growth stages advanced towards heading and physiological maturity, there was an increase in shoot dry matter accumulation when nutrients were adequately supplemented through real-time demand monitoring. During the heading stage, a larger proportion of dry matter was allocated to the leaves compared to the culms and panicles. However, this trend changed at maturity, where the highest proportion of dry matter was allocated to the panicles. The shift in dry matter allocation towards the panicles at maturity can be attributed to the reproductive phase of the rice plant. The panicles, being the reproductive structures responsible for grain production, require a greater share of assimilates for seed development. This allocation strategy optimizes the plant’s resources to maximize grain yield during the crucial reproductive phase. Similar findings were observed by Mahajan et al., (2012) and Paul et al., (2021).
 

Table 5: Percentage of dry matterpartitioning into culm, leaf and panicle at tillering, heading and physiological maturity in rice.


       
Among the treatments at maturity, The SI-based N management at a threshold less than 90% was observed to be the most efficient precision nutrient management strategy which allocated around 53.46% of the total shoot dry matter to the panicle. Conversely, the poor accumulation as well as translocation of assimilates occurred in absolute control. This indicates the role of primary nutrients in accumulation and translocation of accumulated biomass. The SI-based N management facilitated a greater translocation of assimilates towards the reproductive structures of the plant, promoting panicle development and ultimately leading to increased grain production might be due to availability of nitrogen at peak period of crop demand. Similar observations were found earlier by Moe et al., (2019) and Stuerz and Asch (2019).
 
Yield and yield attributes
 
The yield attributes such as effective tillers per square meter, number of spikelets per panicle and number of filled spikelets panicle were significantly influenced by precision nutrient management (Fig 3) and SI-based N management expressed a significant superiority in production of all these yield attributes which might be due to adequate availability of nitrogen at peak period of demand.
 

Fig 3: Influence of precision nutrient management on yield attributes of boro rice.


       
The precision nutrient management had a notable effect on the production of rice grain and straw (Fig 4). The SI-based N management resulted in significantly higher grain yield compared to the absolute control. The adoption of SI-based nitrogen management yielded a substantial 16.68% improvement in rice grain and a 13.17% increase in the overall yield of rice compared to the conventional approach of applying 100% RDF at fixed time intervals. The main reason for these outcomes could be attributed to the sustained greenness of leaf during the ripening stage which increased production and allocation of photosynthates from the source to the grain.  Similar findings were reported by Santos et al., (2019) and Singh and Khind (2015).
 

Fig 4: Influence of precision nutrient management on grain and straw yield of boro rice.


       
In terms of straw yield, application of 125% RDF showcased better results compared to other treatments, but it was on par with SI-based nitrogen management. Applying 125% RDF resulted in a significant 10.68% rise in straw yield compared to 100% RDF and an impressive 65.11% increase when compared to the absolute control. However, the straw yield achieved from 125% RDF was similar to that obtained from 100% RDF. The enhanced response observed with the application of 125% RDF can be attributed to the additional supply of potassium compared to the recommended dose. This conversation aligns with the previous research conducted by Islam et al., (2016) and Akter et al., (2023). However, the positive impact of the excess potassium was counterbalanced by the timely and appropriate application of nitrogen through SI-based nitrogen management, along with the recommended doses of phosphorus and potassium.
Based on the present study, it can be concluded that real-time application of nitrogen referring to greenness index, along with sufficient levels of phosphorus and potassium, promotes higher accumulation and efficient distribution of dry matter towards the reproductive part of the plant. As a result, this allocation is expected to attribute an increased grain yield and minimize the yield gap for the Naveen variety cultivated during the boro season in southern Odisha.
None.

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