The excessive staminate catkin thinning （emasculation） of proterandrous walnut is an important management measure for improving yield. To improve the excessive staminate catkin thinning efficiency, the model of quad...The excessive staminate catkin thinning （emasculation） of proterandrous walnut is an important management measure for improving yield. To improve the excessive staminate catkin thinning efficiency, the model of quadratic polynomial regression equation and BP artificial neural network was developed. The effects of ethephon, gibberel in and mepiquat on shedding rate of staminate catkin of pro-terandrous walnut were investigated by modeling field test. Based on the modeling test results, the excessive staminate catkin thinning model of quadratic polynomial regression equation and BP artificial neural network was established, and it was validated by field test next year. The test data were divided into training set, vali-dation set and test set. The total 20 sets of data obtained from the modeling field test were randomly divided into training set （17） and validation set （3） by central composite design （quadric rotational regression test design）, and the data obtained from the next-year field test were divided into the test set. The topological struc-ture of BP artificial neural network was 3-5-1. The results showed that the pre-diction errors of BP neural network for samples from the validation set were 1.355 0%, 0.429 1% and 0.353 8%, respectively; the difference between the predicted value by the BP neural network and validated value by field test was 2.04%, and the difference between the predicted value by the regression equation and validated value by field test was 3.12%; the prediction accuracy of BP neural network was over 1.0% higher than that of regression equation. The effective combination of quadratic polynomial stepwise regression and BP artificial neural network wil not only help to determine the effect of independent parameter but also improve the prediction accuracy.展开更多
[Objective] The aim was to find out the regularities of powder scattering about walnuts＇ male for improving walnut yield and quality. [Method] The powder was collected by the method of gravity glass slide, and the re...[Objective] The aim was to find out the regularities of powder scattering about walnuts＇ male for improving walnut yield and quality. [Method] The powder was collected by the method of gravity glass slide, and the regulation of powders scattering of ＇Xinxin2＇ and ＂Wen185＇ which were the two main cultivated varieties of walnut in Xinjiang were studied. [Result] The results showed that the male inflo- rescence powder lasted for around 10 d, and centralized scatter powder was about 4 d, when walnut male at the daily mean temperature was from 20 to 24℃. Gen- erally, the large powder shedding amount was in east, south and central position of crown, in the range of 19 to 27 ℃, and the optimal temperature of powder scatter- ing was 20 to 23 ℃. [Conclusion] The pollens scattering regularities of walnut is closely related to temperature. With a favorable temperature, powder scattering per- forms outstandingly.展开更多
基金Supported by Key Science and Technology Program of Shanxi Province,China(002023)~~
文摘The excessive staminate catkin thinning （emasculation） of proterandrous walnut is an important management measure for improving yield. To improve the excessive staminate catkin thinning efficiency, the model of quadratic polynomial regression equation and BP artificial neural network was developed. The effects of ethephon, gibberel in and mepiquat on shedding rate of staminate catkin of pro-terandrous walnut were investigated by modeling field test. Based on the modeling test results, the excessive staminate catkin thinning model of quadratic polynomial regression equation and BP artificial neural network was established, and it was validated by field test next year. The test data were divided into training set, vali-dation set and test set. The total 20 sets of data obtained from the modeling field test were randomly divided into training set （17） and validation set （3） by central composite design （quadric rotational regression test design）, and the data obtained from the next-year field test were divided into the test set. The topological struc-ture of BP artificial neural network was 3-5-1. The results showed that the pre-diction errors of BP neural network for samples from the validation set were 1.355 0%, 0.429 1% and 0.353 8%, respectively; the difference between the predicted value by the BP neural network and validated value by field test was 2.04%, and the difference between the predicted value by the regression equation and validated value by field test was 3.12%; the prediction accuracy of BP neural network was over 1.0% higher than that of regression equation. The effective combination of quadratic polynomial stepwise regression and BP artificial neural network wil not only help to determine the effect of independent parameter but also improve the prediction accuracy.
基金The Scientific Research Special of National Public Welfare Industry―Improve Quality and Effectiveness of Key Ttechnology Research and Demonstration about Xinjiang Characteristic Fruit Trees(201304701-4)Financial Aid from Xinjiang Uygur Autonomous Region Fruit Trees Key Subject~~
文摘[Objective] The aim was to find out the regularities of powder scattering about walnuts＇ male for improving walnut yield and quality. [Method] The powder was collected by the method of gravity glass slide, and the regulation of powders scattering of ＇Xinxin2＇ and ＂Wen185＇ which were the two main cultivated varieties of walnut in Xinjiang were studied. [Result] The results showed that the male inflo- rescence powder lasted for around 10 d, and centralized scatter powder was about 4 d, when walnut male at the daily mean temperature was from 20 to 24℃. Gen- erally, the large powder shedding amount was in east, south and central position of crown, in the range of 19 to 27 ℃, and the optimal temperature of powder scatter- ing was 20 to 23 ℃. [Conclusion] The pollens scattering regularities of walnut is closely related to temperature. With a favorable temperature, powder scattering per- forms outstandingly.
