Home About Browse Search
Svenska


Methods of yield stability analysis in long-term field experiments. A review

Reckling, Moritz and Ahrends, Hella and Chen, Tsu-Wei and Eugster, Werner and Hadasch, Steffen and Knapp, Samuel and Laidig, Friedrich and Linstaedter, Anja and Macholdt, Janna and Piepho, Hans-Peter and Schiffers, Katja and Doering, Thomas F. (2021). Methods of yield stability analysis in long-term field experiments. A review. Agronomy for Sustainable Development. 41 , 27
[Article Review/Survey]

[img] PDF
3MB

Abstract

In the face of a changing climate, yield stability is becoming increasingly important for farmers and breeders. Long-term field experiments (LTEs) generate data sets that allow the quantification of stability for different agronomic treatments. However, there are no commonly accepted guidelines for assessing yield stability in LTEs. The large diversity of options impedes comparability of results and reduces confidence in conclusions. Here, we review and provide guidance for the most commonly encountered methodological issues when analysing yield stability in LTEs. The major points we recommend and discuss in individual sections are the following: researchers should (1) make data quality and methodological approaches in the analysis of yield stability from LTEs as transparent as possible; (2) test for and deal with outliers; (3) investigate and include, if present, potentially confounding factors in the statistical model; (4) explore the need for detrending of yield data; (5) account for temporal autocorrelation if necessary; (6) make explicit choice for the stability measures and consider the correlation between some of the measures; (7) consider and account for dependence of stability measures on the mean yield; (8) explore temporal trends of stability; and (9) report standard errors and statistical inference of stability measures where possible. For these issues, we discuss the pros and cons of the various methodological approaches and provide solutions and examples for illustration. We conclude to make ample use of linking up data sets, and to publish data, so that different approaches can be compared by other authors and, finally, consider the impacts of the choice of methods on the results when interpreting results of yield stability analyses. Consistent use of the suggested guidelines and recommendations may provide a basis for robust analyses of yield stability in LTEs and to subsequently design stable cropping systems that are better adapted to a changing climate.

Authors/Creators:Reckling, Moritz and Ahrends, Hella and Chen, Tsu-Wei and Eugster, Werner and Hadasch, Steffen and Knapp, Samuel and Laidig, Friedrich and Linstaedter, Anja and Macholdt, Janna and Piepho, Hans-Peter and Schiffers, Katja and Doering, Thomas F.
Title:Methods of yield stability analysis in long-term field experiments. A review
Series Name/Journal:Agronomy for Sustainable Development
Year of publishing :2021
Volume:41
Article number:27
Number of Pages:28
Publisher:SPRINGER FRANCE
ISSN:1774-0746
Language:English
Publication Type:Article Review/Survey
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
Keywords:Coefficient of variation, Cropping systems, Mixed models, Statistics, Taylor's power law, Variability
URN:NBN:urn:nbn:se:slu:epsilon-p-111677
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-111677
Additional ID:
Type of IDID
DOI10.1007/s13593-021-00681-4
Web of Science (WoS)000636240600001
ID Code:23423
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Crop Production Ecology
Deposited By: SLUpub Connector
Deposited On:05 May 2021 13:23
Metadata Last Modified:05 May 2021 13:31

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits