Evidence map›Paper›PMID 36998698›Full record

ArticleFrontiers in plant science2023

Precise control of water stress in the field reveals different response thresholds for forage yield and digestibility of maize hybrids.

Oscar Main, Marie-Pierre Jacquemot, Yves Griveau, Sophie Guillaume, Claire Demonceaux, Paul-Louis Lopez-Marnet, Sébastien Rey, Sébastien Fargier, Pascal Sartre, Christophe Montagnier and 6 more

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In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.8field-weighted citation impact, top 8% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

16 authors at 3 institutions in 1 country.

Oscar MainUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
Marie-Pierre JacquemotUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
Yves GriveauUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
Sophie GuillaumeUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
Claire DemonceauxUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
Paul-Louis Lopez-MarnetUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
Sébastien ReyUnité Expérimentale DiaScope, INRAE, Mauguio, France.
Sébastien FargierUnité Expérimentale DiaScope, INRAE, Mauguio, France.
Pascal SartreUnité Expérimentale DiaScope, INRAE, Mauguio, France.
Christophe MontagnierUnité Expérimentale Versailles-Saclay, INRAE, Versailles, France.
Anthony UijttewaalARVALIS - Institut du végétal, Station expérimentale de La Jaillière, Loireauxence, France.
Nathalie MangelARVALIS - Institut du végétal, Station expérimentale, Boigneville, France.
Florence MeunierUnité Expérimentale DiaScope, INRAE, Mauguio, France.
Matthieu ReymondUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
Valérie MéchinUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
Sylvie CoursolUniversité Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
AgroParisTech · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRArvalis - Institut du Végétal · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With dwindling global freshwater supplies and increasing water stress, agriculture is coming under increasing pressure to reduce water use. Plant breeding requires high analytical capabilities. For this reason, near-infrared spectroscopy (NIRS) has been used to develop prediction equations for whole-plant samples, particularly for predicting dry matter digestibility, which has a major impact on the energy value of forage maize hybrids and is required for inclusion in the official French catalogue. Although the historical NIRS equations have long been used routinely in seed company breeding programmes, they do not predict all variables with the same accuracy. In addition, little is known about how accurate their predictions are under different water stress-environments. Methods: Here, we examined the effects of water stress and stress intensity on agronomic, biochemical, and NIRS predictive values in a set of 13 modern S0-S1 forage maize hybrids under four different environmental conditions resulting from the combination of a northern and southern location and two monitored water stress levels in the south. Results: First, we compared the reliability of NIRS predictions for basic forage quality traits obtained using the historical NIRS predictive equations and the new equations we recently developed. We found that NIRS predicted values were affected to varying degrees by environmental conditions. We also showed that forage yield gradually decreased as a function of water stress, whereas both dry matter and cell wall digestibilities increased regardless of the intensity of water stress, with variability among the tested varieties decreasing under the most stressed conditions. Discussion: By combining forage yield and dry matter digestibility, we were able to quantify digestible yield and identify varieties with different strategies for coping with water stress, raising the exciting possibility that important potential selection targets still exist. Finally, from a farmer's perspective, we were able to show that late silage harvest has no effect on dry matter digestibility and that moderate water stress does not necessarily result in a loss of digestible yield.

Indexed as

digestibilityforage maizelignin contentNIRSresiliencewater stressyield

Identifiers

PMID36998698
PMCPMC10043421
OpenAlexW4324146023

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read5
measurements read55
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.