[Simulation model on barley yield formation].
By the method of yield component, a simulation model on barley yield formation was established, which could be available for different barley cultivars in different areas. The establishment process of the model was as the following. With the yield components of different cultivars under optimal conditions in Wuhan, Yangzhou, and Kunming as the bases, the regression equations of the relative values of ears per plant, kernels per ears, and thousand-grain weight with the accumulated photosynthetic effective radiation (SigmaPAR) were established, and the functional relations between the ears per plant, kernels per ears, and thousand-grain weight under actual conditions as well as their potential values under optimal conditions and the variables soil moisture regime and nutrient contents under actual conditions were formed. The model more comprehensively considered the internal and external factors of barley growth and development. The internal factors reflecting the genetic properties of cultivar included potential ears per plant, potential kernels per ear, potential thousand grain weight, and grain-filling duration; while the external factors included SigmaPAR and soil moisture regime and nutrient contents. Field experiments with different barley cultivars at different sowing dates were conducted in Wuhan, Kunming, and Yangzhou, and the data obtained were used to calibrate and validate the model. The results showed that the model better simulated the yield components and theoretical yield, with the average absolute values of relative error (RE) of ears per plant, kernels per ear, and thousand-grain weight being 1.96%, 1.88% and 1.67%, respectively. The correlation coefficient from y = x regression analysis on the simulated and observed values of the three yield components and theoretical yield was between 0.9464 and 0.9987, indicating that this model was more predictable and applicable.
Zou
Wei
W
Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China. zouw@klia.cn
Liu
Tie-Mei
TM
Kong
De-Yan
DY
Tang
Liang
L
Cao
Wei-Xing
WX
D018533:Biomass; D001467:Hordeum / Q000145:classification / Q000254:growth & development*; D008962:Models, Theoretical