Evidence map›Paper›PMID 36229485›Full record

ArticleScientific reports2022

Whole farm planning raises profit despite burgeoning climate crisis.

Albert Muleke, Matthew Tom Harrison, Rowan Eisner, Peter de Voil, Maria Yanotti, Ke Liu, Xiaogang Yin, Weilu Wang, Marta Monjardino, Jin Zhao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.6field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
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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

13 authors at 9 institutions in 3 countries.

Albert MulekeTasmanian Institute of Agriculture, University of Tasmania, Newnham Drive, Launceston, TAS, 7248, Australia.
Matthew Tom HarrisonTasmanian Institute of Agriculture, University of Tasmania, Newnham Drive, Launceston, TAS, 7248, Australia. matthew.harrison@utas.edu.au.
Rowan EisnerTasmanian Institute of Agriculture, University of Tasmania, Newnham Drive, Launceston, TAS, 7248, Australia.
Peter de VoilQueensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Gatton Campus, Gatton, QLD, 4343, Australia.
Maria YanottiTasmanian School of Business and Economics, University of Tasmania, Private Bag 98, Hobart, TAS, 7001, Australia.
Ke LiuTasmanian Institute of Agriculture, University of Tasmania, Newnham Drive, Launceston, TAS, 7248, Australia.
Xiaogang YinCollege of Agronomy and Biotechnology, China Agricultural University and Key Laboratory of Farming System, Ministry of Agriculture and Rural Affairs of China, Beijing, 100193, China.
Weilu WangJoint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou, 225009, China.
Marta MonjardinoCSIRO Agriculture and Food, Waite Campus, Waite Road, Urrbrae, SA, 5064, Australia.
Jin ZhaoCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China.
Feng ZhangState Key Laboratory of Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, 730000, China.
Shah FahadHainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou, 570228, China.
Yunbo ZhangHubei Collaborative Innovation Centre for Grain Industry/Agriculture College, Yangtze University, Jingzhou, China.
University of Tasmania · AUAgriculture and Food · AUChina Agricultural University · CNCommonwealth Scientific and Industrial Research Organisation · AUHainan University · CNLanzhou University · CNMinistry of Agriculture and Rural Affairs · CNYangtze University · CNYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The climate crisis challenges farmer livelihoods as increasingly frequent extreme weather events impact the quantum and consistency of crop production. Here, we develop a novel paradigm to raise whole farm profit by optimising manifold variables that drive the profitability of irrigated grain farms. We build then invoke a new decision support tool-WaterCan Profit-to optimise crop type and areas that collectively maximise farm profit. We showcase four regions across a climate gradient in the Australian cropping zone. The principles developed can be applied to cropping regions or production systems anywhere in the world. We show that the number of profitable crop types fell from 35 to 10 under future climates, reflecting the interplay between commodity price, yield, crop water requirements and variable costs. Effects of climate change on profit were not related to long-term rainfall, with future climates depressing profit by 11-23% relative to historical climates. Impacts of future climates were closely related to crop type and maturity duration; indeed, many crop types that were traditionally profitable under historical climates were no longer profitable in future. We demonstrate that strategic whole farm planning of crop types and areas can yield significant economic benefits. We suggest that future work on drought adaptation consider genetic selection criteria more diverse than phenology and yield alone. Crop types with (1) higher value per unit grain weight, (2) lower water requirements and (3) higher water-use efficiency are more likely to ensure the sustainability and prosperity of irrigated grain production systems under future climates.

Indexed as

Climate ChangeDroughtsAgricultureAustraliaEdible GrainFarmsWaterWater

Identifiers

PMID36229485
PMCPMC9562302
OpenAlexW4304976599

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.