Previous global assessments were unable to identify
Research gap analysis derived from 3 agriculture papers in our local library.
The gap
Previous global assessments were unable to identify temporal variation in yield gaps. There is a need for a spatially and temporally comprehensive analysis of yield gaps.
Evidence profile
Sourced from the future-work section and stated research gap and stated challenges of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 3 journals. Those papers have been cited 268 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 4 representative gaps
- On crop yield modelling, predicting, and forecasting and addressing the common issues in published studies (2024) · Precision Agriculture · cited 48× · doi
Future research should focus on providing clear definitions and guidelines for data-driven yield modelling and validation, - Future research should aim to address the common issues in published studies and provide a comprehensive review of the literature.
generalfuture-work sectionKeywords: future research focus providing clear definitions guidelines data-driven - Global spatially explicit yield gap time trends reveal regions at risk of future crop yield stagnation (2024) · Nature Food · cited 110× · doi
Previous global assessments were unable to identify temporal variation in yield gaps. There is a need for a spatially and temporally comprehensive analysis of yield gaps.
generalstated research gapKeywords: previous global assessments were unable identify temporal variation - Global spatially explicit yield gap time trends reveal regions at risk of future crop yield stagnation (2024) · Nature Food · cited 110× · doi
Identifying temporal variation in yield gaps. Developing a typology to differentiate regions of 'steady growth', 'stalled floor', and 'ceiling pressure'. Understanding the drivers of yield stagnation.
generalstated challengesKeywords: identifying temporal variation yield gaps developing typology differentiate - Replication and Methodological Diagnostics of Field Research Station Systems for Yield Improvement in Senegal: A Multilevel Regression Analysis (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
The methodological rigour in measuring yield improvements is often assumed rather than validated. There is a need to evaluate the statistical architecture used for attributing yield gains.
generalstated research gapevidence 5/5Keywords: methodological rigour measuring yield improvements often assumed rather
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