Same with less: a method to reduce destructive sampling to estimate nitrogen use efficiency components using...

Area of Science:

• Agricultural Science
• Plant Physiology
• Agronomy

Background:

• Sustainable food production requires enhanced nitrogen (N) use efficiency.
• Accurate measurement of N use efficiency is crucial but traditionally involves slow, costly, and destructive sampling methods.
• Cereal breeding programs need efficient tools to assess N use efficiency.

Purpose of the Study:

• To develop and validate a non-destructive allometric approach for estimating crop shoot biomass and N pool in wheat (Triticum aestivum).
• To provide a cost-effective alternative to destructive sampling for N use efficiency assessment.
• To facilitate rapid N use efficiency evaluation in cereal breeding populations.

Main Methods:

• Utilized tiller height, tiller number, and SPAD (Soil Plant Analysis Development) chlorophyll meter readings as non-destructive predictors.
• Employed multiple linear and non-linear regression analyses (R² = 0.71 and R² = 0.89, respectively) on data from 72 wheat samples.
• Estimated model parameters separately for two contrasting years to account for environmental variability.

Main Results:

• Developed predictive models for shoot biomass and N pool with high accuracy (R² up to 0.89).
• Successfully applied the developed regressions to estimate critical N use efficiency traits in a larger wheat population.
• Demonstrated the feasibility of using non-destructive traits for predicting key N use efficiency parameters.

Conclusions:

• The developed non-destructive allometric approach offers a promising, cost-effective tool for estimating N use efficiency in cereals.
• This method significantly reduces the need for destructive sampling, supporting sustainable agricultural practices.
• It represents a significant step towards automated phenotyping for accelerated N use efficiency assessment in breeding programs.