Login | Request Account (DAF staff only)

Identification of environment similarities using a crop model to assist the cultivation and breeding of a new crop in a new region

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Chauhan, Y. S., Sands, D. J., Krosch, S., Agius, P., Frederiks, T. M., Chenu, K. and Williams, R. (2024) Identification of environment similarities using a crop model to assist the cultivation and breeding of a new crop in a new region. Crop and Pasture Science, 75 (1).

[img]
Preview
PDF
8MB
[img]
Preview
PDF
827kB

Article Link: https://doi.org/10.1071/CP23177

Abstract

Context
Rainfed crop-growing environments are known for their high yield variability, especially in the subtropics and tropics. Improving the resilience of crops to such environments could be enhanced with breeding and agronomy research focusing on groups of similar environments.

Aim
This study presents a framework for developing these groups using the Agricultural Production Systems Simulator (APSIM, ver. 7.10) model.

Methods
As a case study, the framework was applied for pigeonpea (Cajanus cajan L. Millsp.) as a potential new pulse crop for the Australian northern grains region. The model was first validated and then used to simulate yield, compute heat and drought stress events and analyse their frequencies for 45 locations over 62 seasons from 1960 to 2021.

Key results
The model performed satisfactorily compared to field trial data for several sowing dates and locations. The simulated yield varied greatly across locations and seasons, with heat-stress events (maximum temperature ≥35°C) and rainfall showing highly significant associations with this variability. The study identified seven groups of locations after converting the simulated yield into percentiles, followed by clustering. Drought-and-heat stress patterns varied across these groups but less so within each group. Yield percentiles significantly declined over the seasons in three of the seven groups, likely due to changing climate.

Conclusions
The framework helped identify pigeonpea’s key production agroecological regions and the drought and heat constraints within each region.

Implications
The framework can be applied to other crops and regions to determine environmental similarity.

Item Type:Article
Corporate Creators:Department of Agriculture and Fisheries, Queensland
Business groups:Crop and Food Science
Keywords:APSIM, Cajanus cajan L. Millsp, environmental characterisation, envirotyping, high temperature, pigeonpea, water deficit, water stress.
Subjects:Science > Statistics > Simulation modelling
Agriculture > Agriculture (General) > Agriculture and the environment
Agriculture > Agriculture (General) > Agricultural meteorology. Crops and climate
Agriculture > Agriculture (General) > Methods and systems of culture. Cropping systems
Plant culture > Field crops
Live Archive:05 Mar 2024 03:09
Last Modified:29 Jul 2024 04:59

Repository Staff Only: item control page

Downloads

Downloads per month over past year

View more statistics