Assessment of water-limited winter wheat yield potential at spatially contrasting sites in Ireland using a simple growth and development model
Although Irish winter wheat yields are among the highest globally, increases in the profitability of this crop are required to maintain its economic viability. However, in order to determine if efforts to further increase Irish wheat yields are likely to be successful, an accurate estimation of the...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2017-09-01
|
Series: | Irish Journal of Agricultural and Food Research |
Subjects: | |
Online Access: | http://www.degruyter.com/view/j/ijafr.2017.56.issue-1/ijafr-2017-0007/ijafr-2017-0007.xml?format=INT |
id |
doaj-f4488b1b7a2b4949889a2de6abcf55d7 |
---|---|
record_format |
Article |
spelling |
doaj-f4488b1b7a2b4949889a2de6abcf55d72020-11-25T01:03:31ZengSciendoIrish Journal of Agricultural and Food Research2009-90292017-09-01561657610.1515/ijafr-2017-0007ijafr-2017-0007Assessment of water-limited winter wheat yield potential at spatially contrasting sites in Ireland using a simple growth and development modelLynch J.P.0Fealy R.1Doyle D.2Black L.3Spink J.4Teagasc Crops Research Department, Crops, Environment and Land Use Research Programme, Oak Park, Carlow, County Carlow, IrelandTeagasc, Spatial Analysis, Food Marketing and Agri-Innovation Department, Rural Economy and Development Programme, Ashtown, Dublin 15, IrelandTeagasc Crops Research Department, Crops, Environment and Land Use Research Programme, Oak Park, Carlow, County Carlow, IrelandAgri-Food and Biosciences Institute, Plant Testing Station, Crossnacreevy, Belfast, Northern Ireland, BT6 9SHTeagasc Crops Research Department, Crops, Environment and Land Use Research Programme, Oak Park, Carlow, County Carlow, IrelandAlthough Irish winter wheat yields are among the highest globally, increases in the profitability of this crop are required to maintain its economic viability. However, in order to determine if efforts to further increase Irish wheat yields are likely to be successful, an accurate estimation of the yield potential is required for different regions within Ireland. A winter wheat yield potential model (WWYPM) was developed, which estimates the maximum water-limited yield achievable, within the confines of current genetic resources and technologies, using parameters for winter wheat growth and development observed recently in Ireland and a minor amount of daily meteorological input (maximum and minimum daily temperature, total daily rainfall and total daily incident radiation). The WWYPM is composed of three processes: (i) an estimation of potential green area index, (ii) an estimation of light interception and biomass accumulation and (iii) an estimation of biomass partitioning to grain yield. Model validation indicated that WWYPM estimations of water-limited yield potential (YPw) were significantly related to maximum yields recorded in variety evaluation trials as well as regional average and maximum farm yields, reflecting the model’s sensitivity to alterations in the climatic environment with spatial and seasonal variations. Simulations of YPw for long-term average weather data at 12 sites located at spatially contrasting regions of Ireland indicated that the typical YPw varied between 15.6 and 17.9 t/ha, with a mean of 16.7 t/ha at 15% moisture content. These results indicate that the majority of sites in Ireland have the potential to grow high-yielding crops of winter wheat when the effects of very high rainfall and other stresses such as disease incidence and nutrient deficits are not considered.http://www.degruyter.com/view/j/ijafr.2017.56.issue-1/ijafr-2017-0007/ijafr-2017-0007.xml?format=INTmodelradiation use efficiencyyield gapyield potential |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lynch J.P. Fealy R. Doyle D. Black L. Spink J. |
spellingShingle |
Lynch J.P. Fealy R. Doyle D. Black L. Spink J. Assessment of water-limited winter wheat yield potential at spatially contrasting sites in Ireland using a simple growth and development model Irish Journal of Agricultural and Food Research model radiation use efficiency yield gap yield potential |
author_facet |
Lynch J.P. Fealy R. Doyle D. Black L. Spink J. |
author_sort |
Lynch J.P. |
title |
Assessment of water-limited winter wheat yield potential at spatially contrasting sites in Ireland using a simple growth and development model |
title_short |
Assessment of water-limited winter wheat yield potential at spatially contrasting sites in Ireland using a simple growth and development model |
title_full |
Assessment of water-limited winter wheat yield potential at spatially contrasting sites in Ireland using a simple growth and development model |
title_fullStr |
Assessment of water-limited winter wheat yield potential at spatially contrasting sites in Ireland using a simple growth and development model |
title_full_unstemmed |
Assessment of water-limited winter wheat yield potential at spatially contrasting sites in Ireland using a simple growth and development model |
title_sort |
assessment of water-limited winter wheat yield potential at spatially contrasting sites in ireland using a simple growth and development model |
publisher |
Sciendo |
series |
Irish Journal of Agricultural and Food Research |
issn |
2009-9029 |
publishDate |
2017-09-01 |
description |
Although Irish winter wheat yields are among the highest globally, increases in the profitability of this crop are required to maintain its economic viability. However, in order to determine if efforts to further increase Irish wheat yields are likely to be successful, an accurate estimation of the yield potential is required for different regions within Ireland. A winter wheat yield potential model (WWYPM) was developed, which estimates the maximum water-limited yield achievable, within the confines of current genetic resources and technologies, using parameters for winter wheat growth and development observed recently in Ireland and a minor amount of daily meteorological input (maximum and minimum daily temperature, total daily rainfall and total daily incident radiation). The WWYPM is composed of three processes: (i) an estimation of potential green area index, (ii) an estimation of light interception and biomass accumulation and (iii) an estimation of biomass partitioning to grain yield. Model validation indicated that WWYPM estimations of water-limited yield potential (YPw) were significantly related to maximum yields recorded in variety evaluation trials as well as regional average and maximum farm yields, reflecting the model’s sensitivity to alterations in the climatic environment with spatial and seasonal variations. Simulations of YPw for long-term average weather data at 12 sites located at spatially contrasting regions of Ireland indicated that the typical YPw varied between 15.6 and 17.9 t/ha, with a mean of 16.7 t/ha at 15% moisture content. These results indicate that the majority of sites in Ireland have the potential to grow high-yielding crops of winter wheat when the effects of very high rainfall and other stresses such as disease incidence and nutrient deficits are not considered. |
topic |
model radiation use efficiency yield gap yield potential |
url |
http://www.degruyter.com/view/j/ijafr.2017.56.issue-1/ijafr-2017-0007/ijafr-2017-0007.xml?format=INT |
work_keys_str_mv |
AT lynchjp assessmentofwaterlimitedwinterwheatyieldpotentialatspatiallycontrastingsitesinirelandusingasimplegrowthanddevelopmentmodel AT fealyr assessmentofwaterlimitedwinterwheatyieldpotentialatspatiallycontrastingsitesinirelandusingasimplegrowthanddevelopmentmodel AT doyled assessmentofwaterlimitedwinterwheatyieldpotentialatspatiallycontrastingsitesinirelandusingasimplegrowthanddevelopmentmodel AT blackl assessmentofwaterlimitedwinterwheatyieldpotentialatspatiallycontrastingsitesinirelandusingasimplegrowthanddevelopmentmodel AT spinkj assessmentofwaterlimitedwinterwheatyieldpotentialatspatiallycontrastingsitesinirelandusingasimplegrowthanddevelopmentmodel |
_version_ |
1725200833099857920 |