TY - JOUR
T1 - Optimising sowing date of durum wheat in a variable Mediterranean environment
AU - Bassu, Simona
AU - Asseng, Senthold
AU - Motzo, Rosella
AU - Giunta, Francesco
N1 - Funding Information:
The authors would like to thank Mr. Paola Fenu, Roberto Leri, Paolo Manca for their help in data collection, Dr. Giovanni Pruneddu for helpful discussions, Mr. Nirav Khimashia for technical support and Drs. Michael Robertson, Tony Condon, Julianne Lilley and Scott Chapman for helpful comments on an earlier draft. The study has been supported by the Visiting Scientist program of the University of Sassari. The work was part of a PhD on “Agro-meteorology and eco-physiology of agricultural and forest systems” at Economics and Trees Systems Department, University of Sassari, Sardinia, Italy.
PY - 2009/3/15
Y1 - 2009/3/15
N2 - Sowing date and cultivar choice influence yield of wheat in Mediterranean climatic regions where crop production is constrained by waterlogging in winter on clay soils and terminal water deficit in spring. Because of the large seasonal variability in Mediterranean environments, a combination of experimental data and simulation results were used to investigate optimal sowing date and cultivar choice. The Agricultural Production Systems SIMulator (APSIM), which had been rigorously tested for bread wheat (Triticum aestivum L.) in Mediterranean-type environments, was further tested with measured durum wheat (Triticum turgidum L. var. durum) experimental data from the Mediterranean basin. The model reproduced most of the observed seasonal variability of grain yields but tended to overestimate, particularly some of the observed low grain yields. Comparing the model with detailed field experiments from two seasons and three durum wheat cultivars over a wide range of sowing dates highlighted the importance of reproducing the measured phenology and in particularly the observed anthesis dates for the general performance of the model. The use of a specific phyllochron for each sowing date instead of a single value per cultivar regardless of sowing date, as in APSIM, improved anthesis predictions and other aspects of the model. Hence, the phyllochron was varied in the model through a simple relationship based on observed phyllochrons and sowing dates. The new phyllochron routine was then used to explore management options to increase yields by combining the model with 47 years of historical weather records from Oristano, Sardinia, Italy. The simulation results showed that sowing wheat before December can result in higher yields in the absence of waterlogging. However, the high frequency of waterlogging on the clay soils, even with the observed decline of rainfall in the last 20 years in winter, showed no average yield advantage of sowing before December. Early maturing cultivars outperformed late cultivars at standard and late sowing dates. Hence, sowing early cultivars as soon as rainfall has started from December onwards is currently proposed to give the best yields in this environment in most seasons. Increasing temperatures and declining rainfalls in all months of the year as a consequence of future climate change projections will substantially reduce grain yields. Under such conditions, sowing as early as October to avoid terminal water shortage and heat stress will minimise the negative impact from climate change.
AB - Sowing date and cultivar choice influence yield of wheat in Mediterranean climatic regions where crop production is constrained by waterlogging in winter on clay soils and terminal water deficit in spring. Because of the large seasonal variability in Mediterranean environments, a combination of experimental data and simulation results were used to investigate optimal sowing date and cultivar choice. The Agricultural Production Systems SIMulator (APSIM), which had been rigorously tested for bread wheat (Triticum aestivum L.) in Mediterranean-type environments, was further tested with measured durum wheat (Triticum turgidum L. var. durum) experimental data from the Mediterranean basin. The model reproduced most of the observed seasonal variability of grain yields but tended to overestimate, particularly some of the observed low grain yields. Comparing the model with detailed field experiments from two seasons and three durum wheat cultivars over a wide range of sowing dates highlighted the importance of reproducing the measured phenology and in particularly the observed anthesis dates for the general performance of the model. The use of a specific phyllochron for each sowing date instead of a single value per cultivar regardless of sowing date, as in APSIM, improved anthesis predictions and other aspects of the model. Hence, the phyllochron was varied in the model through a simple relationship based on observed phyllochrons and sowing dates. The new phyllochron routine was then used to explore management options to increase yields by combining the model with 47 years of historical weather records from Oristano, Sardinia, Italy. The simulation results showed that sowing wheat before December can result in higher yields in the absence of waterlogging. However, the high frequency of waterlogging on the clay soils, even with the observed decline of rainfall in the last 20 years in winter, showed no average yield advantage of sowing before December. Early maturing cultivars outperformed late cultivars at standard and late sowing dates. Hence, sowing early cultivars as soon as rainfall has started from December onwards is currently proposed to give the best yields in this environment in most seasons. Increasing temperatures and declining rainfalls in all months of the year as a consequence of future climate change projections will substantially reduce grain yields. Under such conditions, sowing as early as October to avoid terminal water shortage and heat stress will minimise the negative impact from climate change.
KW - APSIM
KW - Grain yield
KW - Phyllochron
KW - Sowing date
KW - Waterlogging
KW - Wheat
UR - http://www.scopus.com/inward/record.url?scp=58349107351&partnerID=8YFLogxK
U2 - 10.1016/j.fcr.2008.11.002
DO - 10.1016/j.fcr.2008.11.002
M3 - Article
AN - SCOPUS:58349107351
SN - 0378-4290
VL - 111
SP - 109
EP - 118
JO - Field Crops Research
JF - Field Crops Research
IS - 1-2
ER -