Evidence map›Paper›PMID 36352869›Full record

ArticleFrontiers in plant science2022

Identification of agro-physiological traits of lentil that reduce risks of drought.

Abeya Temesgen Tefera, Garry J O'Leary, Thabo Thayalakumaran, Shiwangni Rao, Viridiana Silva-Perez, Arun S K Shunmugam, Roger Armstrong, Garry M Rosewarne

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. 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

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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. Review
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

8 authors.

Abeya Temesgen TeferaAgriculture Victoria Research, Grain Innovation Park, Horsham, VIC, Australia.
Garry J O'LearyAgriculture Victoria Research, Grain Innovation Park, Horsham, VIC, Australia.
Thabo ThayalakumaranAgriculture Victoria Research, Centre for Agri Bioscience, Melbourne, VIC, Australia.
Shiwangni RaoAgriculture Victoria Research, Grain Innovation Park, Horsham, VIC, Australia.
Viridiana Silva-PerezAgriculture Victoria Research, Grain Innovation Park, Horsham, VIC, Australia.
Arun S K ShunmugamAgriculture Victoria Research, Grain Innovation Park, Horsham, VIC, Australia.
Roger ArmstrongAgriculture Victoria Research, Grain Innovation Park, Horsham, VIC, Australia.
Garry M RosewarneAgriculture Victoria Research, Grain Innovation Park, Horsham, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ideotype breeding is an essential approach for selection of desired combination of plant traits for testing in crop growth model for potential yield gain in specific environments and management practices. Here we parameterized plant traits for untested lentil cultivars for the APSIM-lentil model in phenology, biomass, and seed yield. We then tested these against independent data and applied the model in an extrapolated analysis (i) to assess the impact of drought on productivity across different rainfall environments; (ii) to identify impactful plant traits and (iii) to design new lentil ideotypes with a combination of desirable traits that mitigate the impact of drought, in the context of various agronomic practices across a wide range of production environments. Desirable phenological and physiological traits related to yield were identified with RUE having the greatest effect on yield followed by HI rate. Leaf size significantly affected seed yield (p< 0.05) more than phenological phases. The physiological traits were integrated into four ideotype designs applied to two baseline cultivars (PBA Hallmark XT and PBA Jumbo2) providing eight ideotypes. We identified a combination of genetic traits that promises a yield advantage of around 10% against our current cultivars PBA Hallmark XT and PBA Jumbo2. Under drought conditions, our ideotypes achieved 5 to 25% yield advantages without stubble and 20 to 40% yield advantages with stubble residues. This shows the importance of genetic screening under realistic production conditions (e.g., stubble retention in particular environments). Such screening is aided by the employment of biophysical models that incorporate both genetic and agronomic variables that focus on successful traits in combination, to reduce the impact of drought in the development of new cultivars for various environments. Stubble retention was found to be a major agronomic contributor to high yield in water-limiting environments and this contribution declined with increasing growing season rainfall. In mid- and high-rainfall environments, the key drivers of yield were time of sowing, physiological traits and soil type. Overall, the agronomic practices, namely, early sowing, residue retention and narrow row spacing deceased the impact of drought when combined with improved physiological traits of the ideotypes based on long term climate data.

Indexed as

APSIMdroughtideotype breedinglentilphenological traitsphysiological traits

Identifiers

PMID36352869
PMCPMC9637959

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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.