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Effects Of Fertilization On The Production Performance Of Paspalum Dilatatum

Posted on:2019-04-28Degree:MasterType:Thesis
Country:ChinaCandidate:Q Q YuFull Text:PDF
GTID:2393330566973637Subject:Farming
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To systematically investigate the production performance of different sources of Paspalum dilatatum,select superior materials,and provide guidance for the application of theoretical fertilizers for the promotion of advantageous materials.This research trials were conducted on the production performance of Paspalum dilatatum and the effects of fertilization on the production performance of Paspalum dilatatum.Obtained the following research results:(1)Through field trials,the variance analysis,cluster analysis,and grey correlation analysis method were used to compare the growth performance and photosynthetic characteristics of 19 different traits of six different sources of Paspalum dilatatum.The results showed that there were significant differences in the growth characteristics among different quality cuts and cuts(P<0.05),and the growth and development of the second cutting were the fastest and the yield was the highest.Taking into account comprehensively,the best number of cuts of the Paspalum dilatatum is 3-4 times per year.The cluster analysis of 12 growth characteristics indicators(agronomic traits)of F.spp.germplasm showed that: No.4 Germplasm showed strong tillering ability,high yield,high dry matter content,crude protein content,crude fat content and no the content of nitrogen extracts is higher,crude fiber and crude ash content are lower.No.1 Germplasm had lowest yield and crude protein content,and nitrogen-free extract had the highest content.The crude fat content and crude protein content of the 12 indicators of No.2,No.5,and No.6 performed just well,and the remaining performance was moderate.Using the grey correlation analysis,the weights of fresh grass yield,hay yield,dry-fresh ratio,stem-leaf ratio,crude protein,chlorophyll content,and photosynthesis of the six Paspalum dilatatum were weighted and analyzed.The weights of each indicator in the comprehensive evaluation of F.garraca germplasm were as follows:intercellular CO2 concentration> nitrogen-free extract> crude ash> dry-fresh ratio>crude protein> crude fat> crude fiber> stomatal conductance> hay Yield =transpiration rate> stem-leaf ratio> fresh grass yield> net photosynthetic rate> number of tillers> chlorophyll a content> total chlorophyll content> plant height = average daily growth rate> chlorophyll b content.According to the weighted association degree analysis of germplasm,the weighted association degree value of No.4 germplasm was 0.8627,ranking first.Therefore,the germplasm with the best production performance is No.4 germplasm,indicating that No.4 germplasm is acclimated locally,and it is recommended to promote No.4 germplasm to practical production.(2)Fertilizer experiment was conducted on the dominant germplasms of No.4Spartina spp.Selected by the Daejeon Plot Test.The fertilization included three factors of nitrogen fertilizer,phosphate fertilizer,and potassium fertilizer,and a threefactor and five-level quadratic regression orthogonal rotation combination design was adopted.,Get a fertilization treatment plan.The comparative study on the growth characteristics,biomass,light and characteristics,and nutrient elements of No.4Paspalum dilatatum under fertilization treatment was conducted.Comprehensive evaluation of each index was performed using the subordinate function comprehensive evaluation method.The average of the functions under each process is sorted,and the result is that the average value of the treatment 7 is maximum(0.956),and the first row is ranked.Treatment 7 had the greatest impact on the production performance of No.4 Paspalum dilatatum,and the theoretical fertilization formula for No.4 broccoli was: Nitrogen fertilizer application rate was 105.78 kg/hm2,and Phosphate fertilizer application rate was 430.81 kg/hm2,Potash fertilizer The application rate was 362.39 kg/hm2.
Keywords/Search Tags:Frangia spp., Cluster analysis, Production performance, Grey relational degree, Fertilization, Membership function
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