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Related Experiment Video

Updated: May 13, 2026

Microplot Design and Plant and Soil Sample Preparation for 15Nitrogen Analysis

Microplot Design and Plant and Soil Sample Preparation for ¹⁵Nitrogen Analysis

Published on: May 10, 2020

Stepwise Precision Fertilization To Quantify Nutrient Accumulation And Partitioning In Double-season Sweet Potato

Han Yang¹, Xinsun Yang², Lianjun Wang²

¹Xianning Academy of Agricultural Sciences.

Journal of Visualized Experiments : Jove

|May 11, 2026

Summary

This summary is machine-generated.

Precision fertilization optimizes sweet potato (Ipomoea batatas) yield in double-cropping systems. This stepwise strategy synchronizes nutrient application with crop demand, improving resource use efficiency and crop quality.

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Analysis and Specification of Starch Granule Size Distributions

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Last Updated: May 13, 2026

Microplot Design and Plant and Soil Sample Preparation for 15Nitrogen Analysis

Microplot Design and Plant and Soil Sample Preparation for ¹⁵Nitrogen Analysis

Published on: May 10, 2020

Analysis and Specification of Starch Granule Size Distributions

Analysis and Specification of Starch Granule Size Distributions

Published on: March 4, 2021

Area of Science:

Agricultural Science
Agronomy
Plant Nutrition

Background:

Double-season sweet potato production faces nutrient supply-demand mismatches, impacting yield and resource efficiency.
Conventional fertilization methods fail to address dynamic crop needs across distinct growing seasons and meteorological conditions.

Purpose of the Study:

To present a stepwise precision fertilization protocol for optimizing nutrient management in double-season sweet potato cultivation.
To synchronize nitrogen, phosphorus, and potassium application with critical crop phenological stages and nutrient demands.

Main Methods:

A stepwise fertilization strategy partitioning nutrients into five application events aligned with growth stages (seedling, vine expansion, tuber initiation, bulking, maturation).
Destructive sampling for whole-plant nutrient partitioning analysis.
Logistic nonlinear regression models to quantify nutrient accumulation dynamics and identify critical uptake windows.

Main Results:

Quantification of maximum nutrient accumulation capacity, rapid uptake phase duration, and inflection points for key nutrients.
Precise identification of critical nutrient absorption windows and evaluation of apparent nutrient balances.
Demonstration of optimized fertilization regimes leading to enhanced yield and quality.

Conclusions:

The proposed precision fertilization protocol effectively synchronizes nutrient supply with sweet potato demand throughout the growing cycle.
This strategy enhances storage root yield and commercial quality while mitigating risks of nutrient deficits or surpluses in intensive systems.