Evidence map›Paper›PMID 40426326›Full record

ArticlePhysiologia plantarum

Assessing the Impact of Yield Plasticity on Hybrid Performance in Maize.

Jensina M Davis, Lisa M Coffey, Jonathan Turkus, Lina López-Corona, Kyle Linders, Chidanand Ullagaddi, Dipak K Santra, Patrick S Schnable, James C Schnable

Abstract read
In one paragraph

Article in Physiologia plantarum. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jensina M DavisQuantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID https://orcid.org/0009-0000-3638-9482
Lisa M CoffeyDepartment of Agronomy, Iowa State University, Ames, Iowa, USA.
Jonathan TurkusQuantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Lina López-CoronaQuantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Kyle LindersQuantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Chidanand UllagaddiQuantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Dipak K SantraDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Patrick S SchnableDepartment of Agronomy, Iowa State University, Ames, Iowa, USA.
James C SchnableQuantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.

Funding

National Institute of Food and Agriculture 2020-67021-31528National Institute of Food and Agriculture 2020-68013-30934National Institute of Food and Agriculture 2021-67021-35329National Institute of Food and Agriculture 2023-70412-41087National Science Foundation Graduate Research Fellowship Program 2034837U.S. Department of Agriculture
6 · The paper itself

Abstract

Improving crop resilience in the face of increasingly extreme and unpredictable weather and reduced access to agricultural inputs such as nitrogen fertilizer and water will require an improved understanding of phenotypic plasticity in crops. To understand the roles of different component traits in determining overall plasticity for grain yield, we generated data from a panel of 122 maize (Zea mays) hybrids grown in replicated field trials in 34 environments spanning 1126 km (700 miles) of the US Corn Belt. We observed that the levels of genetic versus environmental control and the relationships between mean parent release year, overall performance, and linear plasticity were trait-dependent across the 18 agronomic and yield components studied. Importantly and unexpectedly, we observed no clear tradeoff between linear plasticity and mean performance and found only rare examples where genotype-by-environment interactions would alter selection decisions based on the environments tested in our dataset. Furthermore, we showed that overall plasticity was repeatable and that plasticity in response to nitrogen fertilization was not, which may help explain the limited success in breeding for nitrogen use efficiency. Together, these findings improve our understanding of phenotypic plasticity, with implications for maize breeding.

Indexed as

Zea maysFertilizersGenotypeHybridization, GeneticNitrogenPhenotypePlant BreedingFertilizersNitrogenagricultural cropsgene–environment interactionnitrogenphysiological resiliencewaterZea mays

Identifiers

PMID40426326
PMCPMC12117174

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.