Impact of Drip Irrigation Gradient on Photosynthetic Characteristics and Dry Matter Accumulation of Maize at Tasseling-Silking Stage in Northern Agro-Pastoral Ecotone
In order to investigate the impact of drip irrigation gradient on the variations in photosynthetic characteristics and dry matter accumulation at the tasseling-silking stage of maize in the northern agro-pastoral ecotone,in this study,a maize variety Xianyu 335 was selected as the material,based on the water localization experiment conducted at the Academy of Agricultural and Animal Husbandry Sciences of Inner Mongolia Autonomous Region,five drip irrigation gradients of 315 m3/ha(W1),645 m3/ha(W2),945 m3/ha(W3),1 275 m3/ha(W4)and 1 605 m3/ha(W5)were set to study the impact of different drip irrigation gradients on photosynthetic characteristics,light response curve,and dry matter accumulation,and economic yield at the tasseling-silking stage of maize.The results showed that the photosynthetic rate,stomatal conductance,and transpiration rate of each treatment increased first and then decreased with the increase of drip irrigation amount,the intercellular CO2 concentration changed in a"V"shape curve,and the light response curve was well fitted.Among the treatments,the performance of stomatal conductance,intercellular CO2 concentration,and light response curve of W4 treatment were better than those of other treatments.With the increase of drip irrigation amount,the dry matter mass of maize plants showed a trend of gradually increasing,the performance of dry matter accumulation under W4 and W5 treatments was excellent and was 16 625.25 kg/ha and 18 525.00 kg/ha,respectively,and the economic yield was 17 650.54 kg/ha and 17 829.49 kg/ha,respectively.Combined with the harvest index and water use efficiency,it could be seen that the performance of W4 treatment was better.From the perspective of dry matter accumulation,when maize was planted in the northern agro-pastoral ecotone,and the drip irrigation amount of 1 275 m3/ha was more suitable for application.
万方数据
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