Physiological and molecular interventions for improving nitrogen-use efficiency in maize.

Singh, Ishwar; Kumar, Krishan; Singh, Prabhjot; Yadava, Pranjal; Rakshit, Sujay

doi:10.1079/9781789245431.0019

Cited by 4 publications

(8 citation statements)

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“…Different types of slow-release fertilizers (SRF) have been developed to improve NUE and reduce potential environmental losses (Giday, 2019;Giday et al, 2014). For example, controlled-release fertilizers (CRF) and nitrification inhibitors (NI) can either slow down nutrientrelease patterns and/or interfere with nutrient transformation processes and reduce their loss (Singh et al, 2018). It potentially delays the N release pattern and reduces N losses, which may improve the synchronization potential between crop demand and soil N supply (Giday et al, 2014).…”

Section: Soil Managementmentioning

confidence: 99%

“…Tamene et al (2016) demonstrated that poor weed management increases competition for soil nutrients, moisture, and sunlight, which affects resource use efficiency and crop productivity. Therefore, maintaining these factors at the threshold level is important for enhancing yield and NUE (Singh et al, 2018).…”

Section: Crop Rotation and Using Biological N-fixing Cropsmentioning

confidence: 99%

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Improving Primary Nutrients (NPK) Use Efficiency for the Sustainable Production and Productivity of Cereal Crops: A Compressive Review

Andualem,

Wato,

Asfaw

et al. 2024

JASE

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Nutrient Use Efficiency (NUE) is the capacity of certain crops to use the available nutrients for growth, development, and productivity. Enhancing the efficiency of nutrient utilization by cereals is an admirable objective and a major problem for the fertilizer sector and agriculture as a whole. Nutrient use efficiency (NUE) is a critical concept in the evaluation of cereal production systems. Therefore, this study aimed to review methods for improving the efficiency of primary nutrient (NPK) use in cereals (Barley, Rice, wheat, Maize, Sorghum, and Sugarcane) for sustainable production and productivity. Soil, plant water, and fertilizer management can have important impacts on the nutrient-use efficiency of cereals. Nutrient utilization aims to maximize the overall performance of cropping systems by providing the crop with the most inexpensive sustenance possible, while reducing nutrient losses from the field. The NUE takes care of some, but not all, of that performance. Thus, in addition to NUE, total productivity must is one of the aims of system enhancement. The question being posed and, frequently, the spatial or temporal scale of interest for which trustworthy data are available, dictate the most appropriate approach to NUE. For N, P, and K, the partial nutrient balance (the ratio of nutrients removed by crop harvest to fertilizer. Although opinions differ, agronomic nutrient use efficiency is the foundation for both economic and environmental efficiency. Economic and environmental efficiencies arise from increased agricultural efficiency. Therefore, different researchers have investigated ways to improve the nutrient use efficiency of cereals by using mechanisms including optimizing nutrient usage, nano-fertilizer usage, breeding for nutrient use efficiency, and precision farming.

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Section: Soil Managementmentioning

confidence: 99%

Section: Crop Rotation and Using Biological N-fixing Cropsmentioning

confidence: 99%

Improving Primary Nutrients (NPK) Use Efficiency for the Sustainable Production and Productivity of Cereal Crops: A Compressive Review

Andualem,

Wato,

Asfaw

et al. 2024

JASE

View full text Add to dashboard Cite

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“…By continuously monitoring and analyzing data related to soil health, crop requirements, and nutrient content, these systems provide real-time insights into the nutritional needs of plants. This granular approach ensures that crops receive the appropriate nutrients at the right time and in the right quantities, promoting optimal growth and minimizing waste (Singh, et al, 2018). The implementation of AI in resource management contributes to a more environmentally sustainable agriculture sector (Mouchou et al, 2021, Owebor et al, 2022.…”

Section: Resource Management Through Aimentioning

confidence: 99%

AI in precision agriculture: A review of technologies for sustainable farming practices

Adebunmi Okechukwu Adewusi,

Onyeka Franca Asuzu,

Temidayo Olorunsogo

et al. 2024

World J. Adv. Res. Rev.

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Precision agriculture, facilitated by advancements in Artificial Intelligence (AI), has emerged as a transformative paradigm in modern farming. This review comprehensively examines the integration of AI technologies in precision agriculture to enhance sustainability and optimize farming practices. The paper synthesizes recent research and developments in AI applications, covering key areas such as crop monitoring, resource management, decision support systems, and automation. The adoption of AI-driven techniques, including machine learning, computer vision, and sensor technologies, is reshaping traditional farming methods by providing farmers with real-time data and actionable insights. Crop monitoring applications utilize satellite imagery, drones, and ground-based sensors to assess plant health, detect diseases, and optimize irrigation strategies. AI-driven decision support systems empower farmers to make informed choices based on data-driven predictions, weather forecasts, and historical patterns, contributing to resource-efficient practices and minimizing environmental impact. Resource management is a critical aspect of sustainable farming, and AI plays a pivotal role in optimizing the use of water, fertilizers, and pesticides. Smart irrigation systems, enabled by AI algorithms, ensure precise and efficient water distribution, reducing water wastage and promoting water conservation. AI-driven analysis of soil conditions helps farmers tailor fertilization practices, enhancing nutrient utilization and minimizing environmental runoff. The review also explores the role of AI in automating farming operations through robotics and autonomous vehicles. These technologies not only alleviate labor shortages but also improve efficiency in planting, harvesting, and crop maintenance. Additionally, the integration of AI fosters connectivity in agriculture, enabling seamless communication between devices, sensors, and farming equipment. As precision agriculture continues to evolve, the review highlights challenges and future prospects. Ethical considerations, data security, and the digital divide in rural areas are among the challenges that need attention. Moreover, the paper discusses potential avenues for further research, emphasizing the need for interdisciplinary collaboration to address the complex issues associated with the sustainable implementation of AI in precision agriculture. This review provides a comprehensive overview of the transformative impact of AI in precision agriculture, offering insights into current technologies, challenges, and future directions. The integration of AI not only enhances productivity and efficiency but also contributes to the long-term sustainability of farming practices, ensuring food security in the face of a growing global population.

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“…Autumn film mulched ridge microfurrow rainwater harvesting (ARF) planting, which is a combination of film mulching and ridge-furrow rainwater harvesting tillage, has been widely adopted for potato production in Northwest China [28,29]. ARF integrates the use of high-yielding and nutrient-efficient varieties [10,19,[30][31][32][33], 4R (right source, right rate, right time, and right place) best practices for fertilization management [34,35], the effective regulation of soil water fertility conditions [36], and major benefits for improving the NUE F [18,[36][37][38]. Studies have shown that ARF produces the highest tuber yield and good potato quality, mainly because of the significantly increased potato water-use efficiency [11,39,40]; however, whether it increases the NUE F is largely unknown.…”

Section: Introductionmentioning

confidence: 99%

“…N is the primary component of chlorophyll, nucleic acids, proteins, amino acids, coenzymes, and membrane constituents [46]. Increasing the N-use efficiency can increase vegetative growth [35] and the proportion of large tubers [10,17,47,48]. P is involved in energy transfer, photosynthesis and respiration, rapid canopy development, root cell division, tuber set, and starch synthesis [17,[49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Autumn Film Mulched Ridge Microfurrow Planting Improves Yield and Nutrient-Use Efficiency of Potatoes in Dryland Farming

Yang

Dong

et al. 2023

Agronomy

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Potatoes (Solanum tuberosum) are the most important noncereal crop in the world. Increasing potato production is critical for future global food security. China is the world’s largest potato producer, and potato productivity is constrained by water scarcity and poor fertilizer use efficiency (NUEF). Recently, autumn film mulched ridge microfurrow rainwater harvesting (ARF) tillage has been successfully applied in potato production in dryland farming in Northwest China. However, the effects of ARF on the use efficiency (NUEF) of applied nitrogen (N), phosphorus (P), and potassium (K) nutrients in potatoes have not been systematically studied. A 3-year, consecutive field trial with four treatments, including moldboard planting without fertilizer application (control, CK), spring and autumn film mulched ridge microfurrow rainwater harvesting planting (SRF and ARF), and standard film mulched ridge-furrow planting (FRF), was conducted during 2018–2020. ARF greatly increased the water levels in the 0–200 cm soil profile at potato harvest compared to SRF, FRF, and CK. ARF and SRF significantly increased the levels of soil organic carbon (SOC), total and available NPK (TN, TP, TK and AN, AP, AK) compared to FRF and CK, with ARF being the most efficient at increasing the levels of the AN, AP, and AK. ARF significantly improved the soil water and nutrient activity and contributed the most to potato tuber and biomass yield and hence the NUEF. Under ARF, significant and positive associations were observed between the soil fertility traits, soil water storage (SWS), potato tuber yield, biomass yield, and NUEF. Soil fertility traits and the SWS were positively correlated with potato tuber and biomass yield. The SWS, potato tuber, and biomass yield positively correlated with the partial factor productivity (PFP) and the recovery efficiency (RE) of the applied NPK nutrients. Increased nutrient levels and their combination increased the NUEF and NUEF’s components. The TN and AN contributed more significantly to the PEP and agronomic efficiency (AE) of the applied NPK nutrients; the TP was significantly positively correlated with the AE (AEN, AEP, and AEK), while the AP was correlated with PEP (PFPN, PFPP, and PFPK) and RE (REN, REP, and REK); the TK was significantly positively correlated with the PFP and RE of the applied PK nutrients, while the AK was significantly positively correlated with the PEP, AE, and RE of the applied K nutrients. Therefore, ARF results in a synchronous increase in yield and NUEF and is the most efficient planting system for potato production in dryland farming.

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Physiological and molecular interventions for improving nitrogen-use efficiency in maize.

Cited by 4 publications

References 0 publications

Improving Primary Nutrients (NPK) Use Efficiency for the Sustainable Production and Productivity of Cereal Crops: A Compressive Review

Improving Primary Nutrients (NPK) Use Efficiency for the Sustainable Production and Productivity of Cereal Crops: A Compressive Review

AI in precision agriculture: A review of technologies for sustainable farming practices

Autumn Film Mulched Ridge Microfurrow Planting Improves Yield and Nutrient-Use Efficiency of Potatoes in Dryland Farming

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