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

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.

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Ali Maru ◽  
Osumanu Ahmed Haruna ◽  
Walter Charles Primus

The excessive use of nitrogen (N) fertilizers in sustaining high rice yields due to N dynamics in tropical acid soils not only is economically unsustainable but also causes environmental pollution. The objective of this study was to coapply biochar and urea to improve soil chemical properties and productivity of rice. Biochar (5 t ha−1) and different rates of urea (100%, 75%, 50%, 25%, and 0% of recommended N application) were evaluated in both pot and field trials. Selected soil chemical properties, rice plants growth variables, nutrient use efficiency, and yield were determined using standard procedures. Coapplication of biochar with 100% and 75% urea recommendation rates significantly increased nutrients availability (especially P and K) and their use efficiency in both pot and field trials. These treatments also significantly increased rice growth variables and grain yield. Coapplication of biochar and urea application at 75% of the recommended rate can be used to improve soil chemical properties and productivity and reduce urea use by 25%.


2017 ◽  
Vol 63 (No. 11) ◽  
pp. 498-504 ◽  
Author(s):  
Jiang Wenting ◽  
Liu Xiaohu ◽  
Qi Wen ◽  
Xu Xiaonan ◽  
Zhu Yucui

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.


2021 ◽  
Author(s):  
S R Salakinkop ◽  
Siddarta Hulamani

Abstract Maize area is rapidly spreading in south India in response to rising demand from the poultry and fish feed industries. The planting of maize during winter season is necessary to increase the total area and production of maize. The present investigation encompassing different sowing windows with different fertility levels revealed that significantly higher winter maize productivity was achieved from first and second week of October planting along with application of 200 % RDF(recommended dose of fertilizer) followed by 150 % RDF. Planting of winter maize during first week of October recorded significantly higher grain yield (8786 kg ha-1) and stover yield (1220 kg ha-1) and was found on par with sowing during second week of October. Among fertility levels, significantly higher grain yield (8320 kg ha -1) and stover yield (1195 kg ha-1) were recorded with application of 200 % RDF and was found on par with application of 150 % RDF. Similarly higher dry matter production, more days for physiological maturity, higher accumulation of growing degree days, photo thermal units and heliothermal units were recorded from crop planted during first and second week of October along with application of either 200 % or 150 % RDF. Further higher nutrient use efficiency was recorded from first and second week October planted crop along with lower fertility level (100 % RDF). Similarly significantly higher output energy, net energy and specific energy were higher from crop planted during first week of planting along with application of 200 % RDF. Also it recorded higher net returns and gross returns Whereas, energy use efficiency and energy productivity were higher with planting during first week of October along with application of 100 % RDF.


2021 ◽  
Vol 17 (2) ◽  
pp. 390-403
Author(s):  
Dinesh Pandey ◽  
Anjum Ahmad ◽  
J.K. Chauhan ◽  
N. Pandey

An experiment was carried out during the Kharif 2002 and 2003, to study the productivity and nutrient use efficiency of hybrid rice (Oryza sativa L.) in response to integrated use of organic and inorganic sources of nutrients at Research farm, IGAU, Raipur (CG). In all 12 treatments, comprising of different N, P and K levels and its conjunction with organic fertilizers were laid out in Randomized Block Design with 3 replications. The results revealed that application of inorganic fertilizer level of 150:80:60 kg NPK ha-1 significantly increased number of active leaf, leaf area, leaf area index and dry matter accumulation at later stages as compared to lower level of inorganic fertilizer. The conjunction of 100:60:40 kg NPK ha-1 along with PM or N blended with CDU found to be equally effective to that of inorganic fertilizer level of 150:80:60 kg NPK ha-1 for above growth parameters. The chlorophyll content during crop period under above level was the highest under said treatment. The highest crop growth rate was observed between 60-90 DAT followed by 90 DAT-harvest and 30-60 DAT, respectively. The per day accumulation of dry matter during 60-90 DAT period was almost three to four times of that accumulated during 30-60 DAT. Thereafter growth rate almost declined till maturity during both the years.The increased concentration of N at different growth stages and its uptake by plant helped in increasing the yield components and grain yield. The critical analysis of grain yield observations revealed that conjunction of lower levels of inorganic fertilizer (100:60:40 or 50:30:20 kg NPK ha-1) along with CDU or PM gave the saving of 50 kg N, 20 kg P and 20 kg K ha-1 for the cultivation of hybrid rice. Moreover, the higher buildup of available N and K has been also observed under said combination of organic and inorganic fertilizer treatments. The application of 150:80:60 kg NPK ha-1 along with PSB gave the highest buildup of available phosphorus. Inorganic level of 150:80:60 kg NPK ha-1 gave the highest production efficiency and productivity rating index, which was followed by application of inorganic fertilizer of 100:60:40 kg NPK ha-1 along with PM and blending of N with CDU, respectively. The application inorganic fertilizer of 50:30:20 kg NPK ha-1 + PM gave the highest nutrient efficiency during both the years. The highest input cost, net profit and per rupee investment was found under 150:80:60 kg NPK ha-1 followed by application of 100:60:40 kg NPK ha-1 along with PM.


2019 ◽  
Vol 20 (4) ◽  
pp. 900 ◽  
Author(s):  
Zilhas Jewel ◽  
Jauhar Ali ◽  
Anumalla Mahender ◽  
Jose Hernandez ◽  
Yunlong Pang ◽  
...  

The development of rice cultivars with nutrient use efficiency (NuUE) is highly crucial for sustaining global rice production in Asia and Africa. However, this requires a better understanding of the genetics of NuUE-related traits and their relationship to grain yield. In this study, simultaneous efforts were made to develop nutrient use efficient rice cultivars and to map quantitative trait loci (QTLs) governing NuUE-related traits in rice. A total of 230 BC1F5 introgression lines (ILs) were developed from a single early backcross population involving Weed Tolerant Rice 1, as the recipient parent, and Hao-an-nong, as the donor parent. The ILs were cultivated in field conditions with a different combination of fertilizer schedule under six nutrient conditions: minus nitrogen (–N), minus phosphorus (–P), (–NP), minus nitrogen phosphorus and potassium (–NPK), 75% of recommended nitrogen (75N), and NPK. Analysis of variance revealed that significant differences (p < 0.01) were noted among ILs and treatments for all traits. A high-density linkage map was constructed by using 704 high-quality single nucleotide polymorphism (SNP) markers. A total of 49 main-effect QTLs were identified on all chromosomes, except on chromosome 7, 11 and 12, which are showing 20.25% to 34.68% of phenotypic variation. With further analysis of these QTLs, we refined them to four top hotspot QTLs (QTL harbor-I to IV) located on chromosomes 3, 5, 9, and 11. However, we identified four novel putative QTLs for agronomic efficiency (AE) and 22 QTLs for partial factor productivity (PFP) under –P and 75N conditions. These interval regions of QTLs, several transporters and genes are located that were involved in nutrient uptake from soil to plant organs and tolerance to biotic and abiotic stresses. Further, the validation of these potential QTLs, genes may provide remarkable value for marker-aided selection and pyramiding of multiple QTLs, which would provide supporting evidence for the enhancement of grain yield and cloning of NuUE tolerance-responsive genes in rice.


PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0162802 ◽  
Author(s):  
Limin Chuan ◽  
Ping He ◽  
Tongke Zhao ◽  
Huaiguo Zheng ◽  
Xinpeng Xu

1989 ◽  
Vol 116 (2) ◽  
pp. 257-264 ◽  
Author(s):  
V. C. Baligar ◽  
H. L. Dos Santos ◽  
G. V. E. Pitta ◽  
E. C. Filho ◽  
C. A. Vasconcellos ◽  
...  

Agronomy ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 207
Author(s):  
Meijuan Wen ◽  
Sicun Yang ◽  
Lin Huo ◽  
Ping He ◽  
Xinpeng Xu ◽  
...  

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.


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