scholarly journals Using QUEFTS model for estimating nutrient requirements of maize in the Northeast China

2017 ◽  
Vol 63 (No. 11) ◽  
pp. 498-504 ◽  
Author(s):  
Jiang Wenting ◽  
Liu Xiaohu ◽  
Qi Wen ◽  
Xu Xiaonan ◽  
Zhu Yucui
Keyword(s):  
Northeast China ◽  
Field Experiments ◽  
Nutrient Use Efficiency ◽  
Maize Yield ◽  
Yield Potential ◽  
Nutrient Requirements ◽  
Plant Nitrogen ◽  
Nutrient Use ◽  
Supply Surplus ◽  
Use Efficiency

Accurate estimating of the balanced nutrition for maize is necessary for optimizing fertilizer management to prevent nutrient supply surplus or deficiency. Data from 300 field experiments in the Northeast China conducted between 2006 and 2011 were gathered to study the characteristics of maize yield, and using the QUEFTS model to estimate the balanced nutrition at different yield potential. The average grain yield was 10 427 kg/ha, and average internal efficiencies were 54.3, 251.5 and 78.2 kg grain per kg plant nitrogen (N), phosphorus (P) and potassium (K), respectively. With the harvest index values < 0.40 as outliers were excluded, the model simulated a linear-parabolic-plateau curve for the balanced N, P and K uptake when the initial yield target increased to the yield potential levels of 10 000 to 14 000 kg/ha. When the yield target reached approximately 60–70% of the yield potential, 16.7 kg N, 3.8 kg P, and 11.4 kg K were required to produce 1000 kg grain. The corresponding internal efficiencies were 60.0, 265.7 and 88.0 kg grain per kg plant N, P and K, respectively. These results contributed to improving nutrient use efficiency, and to demonstrate that the QUEFTS model could be a promising approach for estimating the balanced nutrition.

scholarly journals Understanding nutrient imbalances in maize (Zea mays L.) using the diagnosis and recommendation integrated system (DRIS) approach in the Maize belt of Nigeria

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kamaluddin T. Aliyu ◽  
Jeroen Huising ◽  
Alpha Y. Kamara ◽  
Jibrin M. Jibrin ◽  
Ibrahim B. Mohammed ◽  
...  
Keyword(s):  
Nutrient Use Efficiency ◽  
Nutrient Balance ◽  
Maize Yield ◽  
Integrated System ◽  
Soil Conditions ◽  
Yield Increase ◽  
Nutrient Imbalances ◽  
Nutrient Use ◽  
Result Show ◽  
Use Efficiency

AbstractLow nutrient use efficiency in maize as a result of imbalanced nutrition has been reported to drastically reduce yield. We implemented a nutrient omission experiment to assess the effect of nutrient application on maize yield and nutritional balance. Maize ear leaves were analyzed for nutrients, to identify nutrient balance status using the Diagnostic and Recommendation Integrated System (DRIS) approach. Results indicated that omission of N or P resulted in highly imbalanced DRIS indices respectively, and significantly lower grain yield. A strong inverse relationship between K ear leaf content with DRIS index suggests that K application negatively increases K imbalance in many situations. Imbalances of Mg, Ca and Cu were more associated with higher yielding treatments. A Which-Won-Where result show that nutrient imbalances in the diagnosis were systematically frequent when N was omitted. All the diagnosed nutrients were imbalanced even under the highest yielding NPKZn treatment; indicating further opportunity for yield increase with more balanced nutrition. Balanced nutrition of maize in the maize belt of Nigeria should target application of varying rates of N, P, K, Mg, S and Zn, depending on the soil conditions. But, because of complexities of nutrient interactions during uptake, it is hardly possible to realize a balanced nutrition. However, differentiating the application of antagonistic nutrients into foliar or soil-based methods is recommended for a more balanced maize nutrition.

scholarly journals Simulation of fertilizer requirement for irrigated wheat in Eastern India using the QUEFTS model

2006 ◽  
Vol 6 ◽  
pp. 231-245 ◽  
Author(s):  
Debtanu Maiti ◽  
D.K. Das ◽  
H. Pathak
Keyword(s):  
Grain Yield ◽  
Field Experiments ◽  
Nutrient Use Efficiency ◽  
Chemical Properties ◽  
Tropical Soils ◽  
Crop Modeling ◽  
Eastern India ◽  
Site Specific ◽  
Nutrient Use ◽  
Use Efficiency

Crop modeling can provide us with information about fertilizer dose to achieve the target yield, crop conditions, etc. Due to conventional and imbalanced fertilizer application, nutrient use efficiency in wheat is low. Estimation of fertilizer requirements based on quantitative approaches can assist in improving yields and nutrient use efficiency. Field experiments were conducted at 20 sites in eastern India (Nadia district of West Bengal) to assess the soil supply, requirement, and internal efficiency of N, P, K, and Zn in wheat. The data were used to calibrate the QUEFTS (Quantitative Evaluation of the Fertility of Tropical Soils) model for site-specific, balanced fertilizer recommendations. The parameters of maximum accumulation (a) and maximum dilution (d) in wheat were calculated for N (35, 100), P (129, 738), K (17, 56), and Zn (21502, 140244). Grain yield of wheat showed statistically significant correlation with N (R2= 0.937**), P (R2= 0.901**), and K uptake (R2= 0.801**). The NPK ratio to produce 1 tonne grain yield of wheat was calculated to be 4.9:1.0:8.9. The relationships between chemical properties and nutrient-supplying capacity of soils were also established. The model was validated using the data from four other experiments. Observed yields with different amounts of N, P, K, and Zn were in good agreement with the predicted values, suggesting that the validated QUEFTS model can be used for site-specific nutrient management of wheat.

scholarly journals Estimating Nutrient Uptake Requirements for Melon Based on the QUEFTS Model

Agronomy ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 207
Author(s):  
Meijuan Wen ◽  
Sicun Yang ◽  
Lin Huo ◽  
Ping He ◽  
Xinpeng Xu ◽  
...  
Keyword(s):  
Nutrient Uptake ◽  
Nutrient Use Efficiency ◽  
Tropical Soils ◽  
Fertilizer Application ◽  
Linear Increase ◽  
Nutrient Requirements ◽  
Potential Yield ◽  
Nutrient Use ◽  
Fertilizer Recommendations ◽  
Use Efficiency

Imbalanced and excessive fertilizer application has resulted in low yields and reduced nutrient use efficiency for melon production in China. Estimating nutrient requirements is crucial for effectively developing site-specific fertilizer recommendations for increasing yield and profit while reducing negative environmental impacts. Relationships between the yield and nutrient uptake requirements of above-ground dry matter were assessed using 1127 on-farm observations (2000–2020) from melon production regions of China. The quantitative evaluation of fertility of tropical soils (QUEFTS) model was used to estimate nutrient requirements. It predicted a linear increase in yield at balanced nutrient uptake levels until the yield reached approximately 60–80% of the potential yield. In order to produce 1000 kg of fruit, 2.9, 0.4 and 3.2 kg/ha of N, P and K (7.2:1.0:7.8), respectively, were required for above-ground parts, while the corresponding nutrient internal efficiencies were 345.3, 2612.6 and 310.0 kg per kg N, P and K, respectively, whereas 1.4, 0.2 and 1.9 kg of N, P and K were required to replace nutrients removed after harvest. The corresponding fruit absorption rates were 47.0%, 59.5% and 58.2%, respectively. Field validation experiments confirmed the consistency between observed and simulated uptake rates, indicating that this model could estimate nutrient requirements. These findings will help develop fertilizer recommendations for improving melon yield and nutrient use efficiency.

scholarly journals Nutrient Use Efficiency Indices in Maize Hybrid as A Function of Various Rates of NPK in Mid Hills of Nepal

2021 ◽  
Vol 9 (12) ◽  
pp. 2278-2288
Author(s):  
Nabin Rawal ◽  
Keshab Raj Pande ◽  
Renuka Shrestha ◽  
Shree Prasad Vista
Keyword(s):  
Field Experiments ◽  
Nutrient Use Efficiency ◽  
Nutrient Budget ◽  
Silty Clay ◽  
Block Designs ◽  
Maize Production ◽  
Nutrient Use ◽  
K Fertilizer ◽  
Use Efficiency ◽  
Hybrid Maize

Field experiments were conducted to evaluate yield and nutrient use efficiency in maize in response to various rates of nitrogen (N), phosphorus (P) and potassium (K) in silty clay loam soil of Khumaltar, Nepal during 2019 and 2020. Three factorial randomized complete block designs with 27 treatment combinations were used in experiments, which were repeated three times. Three factors were N levels (150, 180, 210 N kg ha-1), P levels (40, 60, 80 P2O5 kg ha-1), and K levels (40, 60, 80 K2O kg ha-1). The results recommend to revise fertilizer dose since N210 kg ha-1 and K2O 80 kg/ha were optimum for increased maize production with grain yields of 10.95 t ha-1 and 10.54 t ha-1, respectively. Partial factor productivity, partial nutrient budget, internal efficiency, physiological efficiency, recovery efficiency, and agronomic efficiency of NPK for hybrid maize were mostly influenced by nutrient levels. Application of higher rate of P and K fertilizer improved maize N efficiencies, and case was valid for P and K efficiencies. Maize was more responsive to N and K fertilizer and lower rate of P application limited efficient use of applied N and K. To increase overall NUE, we recommend to revise dose of fertilizer for hybrid maize under mid hill condition of Nepal.

What Won’t Work

2012 ◽  
Author(s):  
R. Ford Denison
Keyword(s):  
Plant Breeding ◽  
Water Use ◽  
Resource Use ◽  
Genetic Improvement ◽  
Nutrient Use Efficiency ◽  
Yield Potential ◽  
Resource Use Efficiency ◽  
Nutrient Use ◽  
Use Efficiency ◽  
Near Term

This chapter considers the challenge of improving crop resource-use efficiency using biotechnology or traditional plant breeding. It argues that some of biotechnology's stated goals, such as more efficient use of water by crops, are unlikely to be achieved without tradeoffs. After providing an overview of crop genetic improvement via traditional plant breeding or biotechnology, the chapter discusses the importance of greater resource-use efficiency and increasing yield potential. It then explains how natural selection has improved the efficiency of photosynthesis as well as water-use efficiency and how tradeoffs limit biotechnology improvement of crop water use. It also assesses the potential of genetic engineering to improve nutrient-use efficiency and asserts that near-term benefits of biotechnology have been exaggerated. The chapter concludes with a review of biotechnology's possible benefits and risks.

Co-limitation and stoichiometry capture the interacting effects of nitrogen and sulfur on maize yield and nutrient use efficiency

2020 ◽  
Vol 113 ◽  
pp. 125973 ◽  
Author(s):  
Walter D. Carciochi ◽  
Victor O. Sadras ◽  
Agustín Pagani ◽  
Ignacio A. Ciampitti
Keyword(s):  
Nutrient Use Efficiency ◽  
Maize Yield ◽  
Nutrient Use ◽  
Use Efficiency

Tomato Production in Florida Using Fertigation Technology

EDIS ◽  
2020 ◽  
Vol 2020 (5) ◽  
Author(s):  
Mary Dixon ◽  
Guodong Liu
Keyword(s):  
Nutrient Use Efficiency ◽  
Health Benefits ◽  
Vegetable Crop ◽  
High Demand ◽  
Tomato Production ◽  
Nutrient Use ◽  
Use Efficiency

Tomato is in high demand because of its taste and health benefits. In Florida, tomato is the number one vegetable crop in terms of both acreage and value. Because of its high value and wide acreage, it is important for tomato production to be efficient in its water and nutrient use, which may be improved through fertigation practices. Therefore, the objective of this new 7-page article is to disseminate research-based methods of tomato production utilizing fertigation to enhance yield and nutrient use efficiency. Written by Mary Dixon and Guodong Liu, and published by the UF/IFAS Horticultural Sciences Department.https://edis.ifas.ufl.edu/hs1392

Connecting Crop Nutrient Use Efficiency to Future Soil Productivity

2018 ◽  
Vol 102 (4) ◽  
pp. 8-10
Author(s):  
Fernando García ◽  
Andrés Grasso ◽  
María González Sanjuan ◽  
Adrián Correndo ◽  
Fernando Salvagiotti
Keyword(s):  
Nutrient Management ◽  
Nutrient Use Efficiency ◽  
Management Strategies ◽  
Crop Productivity ◽  
Soil Productivity ◽  
Nutrient Use ◽  
Grain Crop ◽  
Wide Scale ◽  
Use Efficiency

Trends over the past 25 years indicate that Argentina’s growth in its grain crop productivity has largely been supported by the depletion of the extensive fertility of its Pampean soils. Long-term research provides insight into sustainable nutrient management strategies ready for wide-scale adoption.

Improved nutrient management in cereals using Nutrient Expert and machine learning tools: Productivity, profitability and nutrient use efficiency

2021 ◽  
Vol 192 ◽  
pp. 103181
Author(s):  
Jagadish Timsina ◽  
Sudarshan Dutta ◽  
Krishna Prasad Devkota ◽  
Somsubhra Chakraborty ◽  
Ram Krishna Neupane ◽  
...  
Keyword(s):  
Machine Learning ◽  
Nutrient Management ◽  
Nutrient Use Efficiency ◽  
Learning Tools ◽  
Nutrient Use ◽  
Use Efficiency
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