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Dive into the research topics where Mirasol F. Pampolino is active.

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Featured researches published by Mirasol F. Pampolino.


Soil Research | 2017

Experimental validation of a new approach for rice fertiliser recommendations across smallholder farms in China

Fuqiang Yang; Xinpeng Xu; Jinchuan Ma; Ping He; Mirasol F. Pampolino; Wei Zhou

Inappropriate fertiliser applications have caused a series of environmental problems and threaten the sustainable production of rice in China. The aim of this study was to evaluate the effects of a new approach, Nutrient Expert (NE), a nutrient decision support tool for rice (Oryza sativa L.). Experimental validation was carried out under field conditions from 2013 to 2015 at 211 sites in the main rice-growing regions of China. The results showed that, compared with current farmers’ fertiliser practices (FP) and soil testing (ST), the NE approach balanced nutrient application – decreased the nitrogen (N) and potassium (K) rates, and increased the phosphorus (P) rate – and improved grain yield, nutrient uptake, and fertiliser use efficiency. The NE treatment produced a 3.5–6.3% higher grain yield, 2.3–14.2% higher N, P, and K uptake in aboveground plant dry matter, and higher agronomic efficiency, apparent recovery efficiency (RE), and partial factor productivity of applied N and K, but not for P. In particular, the RE of the NE approach was greater by 12.2 and 8.4 percentage points for N, 3.7 and 2.9 percentage points for P, and 16.3 and 6.4 percentage points for K, compared with FP and ST respectively. The results obtained from field validation suggested that the NE approach could predict target yields; nutrient uptake of N, P, and K within specific ranges; and could be used as a tool to make fertiliser recommendation for rice in China.


PLOS ONE | 2017

Estimating nutrient uptake requirements for soybean using QUEFTS model in China

Fuqiang Yang; Xinpeng Xu; Wei Wang; Jinchuan Ma; Dan Wei; Ping He; Mirasol F. Pampolino; Adrian M. Johnston

Estimating balanced nutrient requirements for soybean (Glycine max [L.] Merr) in China is essential for identifying optimal fertilizer application regimes to increase soybean yield and nutrient use efficiency. We collected datasets from field experiments in major soybean planting regions of China between 2001 and 2015 to assess the relationship between soybean seed yield and nutrient uptake, and to estimate nitrogen (N), phosphorus (P), and potassium (K) requirements for a target yield of soybean using the quantitative evaluation of the fertility of tropical soils (QUEFTS) model. The QUEFTS model predicted a linear–parabolic–plateau curve for the balanced nutrient uptake with a target yield increased from 3.0 to 6.0 t ha−1 and the linear part was continuing until the yield reached about 60–70% of the potential yield. To produce 1000 kg seed of soybean in China, 55.4 kg N, 7.9 kg P, and 20.1 kg K (N:P:K = 7:1:2.5) were required in the above-ground parts, and the corresponding internal efficiencies (IE, kg seed yield per kg nutrient uptake) were 18.1, 126.6, and 49.8 kg seed per kg N, P, and K, respectively. The QUEFTS model also simulated that a balanced N, P, and K removal by seed which were 48.3, 5.9, and 12.2 kg per 1000 kg seed, respectively, accounting for 87.1%, 74.1%, and 60.8% of the total above-ground parts, respectively. These results were conducive to make fertilizer recommendations that improve the seed yield of soybean and avoid excessive or deficient nutrient supplies. Field validation indicated that the QUEFTS model could be used to estimate nutrient requirements which help develop fertilizer recommendations for soybean.


Soil Science Society of America Journal | 2008

Soil Carbon and Nitrogen Changes in Long-Term Continuous Lowland Rice Cropping

Mirasol F. Pampolino; Eufrocino Vidonia Laureles; Hermenegildo C. Gines; Roland J. Buresh


Plant and Soil | 2010

Field-specific potassium and phosphorus balances and fertilizer requirements for irrigated rice-based cropping systems

Roland J. Buresh; Mirasol F. Pampolino; C. Witt


Field Crops Research | 2013

Establishing a scientific basis for fertilizer recommendations for wheat in China: Yield response and agronomic efficiency

Limin Chuan; Ping He; Mirasol F. Pampolino; Adrian M. Johnston; Jiyun Jin; Xinpeng Xu; Shicheng Zhao; Shaojun Qiu; Wei Zhou


Field Crops Research | 2014

Precision nutrient management in conservation agriculture based wheat production of Northwest India: Profitability, nutrient use efficiency and environmental footprint

Tek B. Sapkota; Kaushik Majumdar; M.L. Jat; A. Kumar; Dalip K. Bishnoi; Andrew McDonald; Mirasol F. Pampolino


Computers and Electronics in Agriculture | 2012

Development approach and evaluation of the Nutrient Expert software for nutrient management in cereal crops

Mirasol F. Pampolino; Christian Witt; Julie Mae Pasuquin; Adrian Johnston; Myles Fisher


Field Crops Research | 2014

Estimating a new approach of fertilizer recommendation across small-holder farms in China

Xinpeng Xu; Ping He; Shaojun Qiu; Mirasol F. Pampolino; Shicheng Zhao; Adrian M. Johnston; Wei Zhou


Field Crops Research | 2014

Fertilizer recommendation for maize in China based on yield response and agronomic efficiency

Xinpeng Xu; Ping He; Mirasol F. Pampolino; Adrian M. Johnston; Shaojun Qiu; Shicheng Zhao; Limin Chuan; Wei Zhou


Field Crops Research | 2014

Closing yield gaps in maize production in Southeast Asia through site-specific nutrient management

Julie Pasuquin; Mirasol F. Pampolino; C Witt; A. Dobermann; Thomas Oberthür; Myles Fisher; K. Inubushi

Collaboration


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M.L. Jat

International Maize and Wheat Improvement Center

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Anil Kumar

Defence Research and Development Organisation

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Roland J. Buresh

International Rice Research Institute

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Myles Fisher

International Center for Tropical Agriculture

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A. Dobermann

International Rice Research Institute

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C. Witt

International Rice Research Institute

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Eufrocino Vidonia Laureles

International Rice Research Institute

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Hermenegildo C. Gines

Philippine Rice Research Institute

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Thomas Oberthür

International Center for Tropical Agriculture

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