Abstract
[Objective] The aim was to study the effects of optimum fertilization model between silicon and phosphorus on yield and quality of sugarcane in Lateritic Red Earth Area of Guangxi,to provide a scientific basis for establishing a high value and ecological cultivation of sugarcane in Guangxi.[Method] A field experiment was carried out by the quadratic regression D-optimal design in Long'an county,Guangxi.The polynomial regression models of fertilizers application and quadratic of two factors were established by using SAS statistical analysis software,and optimum nutrient simulation models of sugarcane were obtained by computer processing in seeking the best ratio of silicon and phosphorus for sugarcane nutrition.[Result] The results showed that combined application of silicon and phosphorus fertilizer contributed to tillering and growth of sugarcane.And in this condition of experiment,it showed some good characters with more productive stem,higher yield and better quality of sugarcane.The regression models of stem yield(Y),sugar yield(SY) and P(X_1),Si(X_2) were established by using SAS statistical analysis software,which were Y=110 096.92+4 356.91X_1+2 007.65X_2-1 592.35X_1X_2-5 461.33X2_1-7 442.09X2_2,R=0.914;SY=16 471.85+903.65X_1+424.26X_2-99.02X_1X_2-1 170.08X2_1-1 256.96X2_2,R=0.930,respectively.The regression mathematics models of sugarcane yield and sugar yield were better fitting with actual situation in the locality,and have higher practical value,so it can be used for fertilizer decision and forecast.The optimizing nutrition model of yield and sugar yield were acquired via computer optimization,respectively.when the dosage of phosphorus and silicon were 281.3 kg(P_2O_5)/hm2 and 405.0 kg(SiO_2)/ hm2(P_2O_5∶SiO_2 =1∶1.44),respectively,the sugarcane yield and sugar yield were 109 405.6 and 16 682.3 kg/hm2.[Conclusion] The best combination between silicon and phosphorus of sugarcane,suitable to soil condition in Lateritic Red Earth Area of Guangxi,was 281.3 kg(P_2O_5)/hm2 and 405.0 kg(SiO_2)/ hm2(P_2O_5∶SiO_2 =1∶1.44).
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Claims 10
Claim · model-written summary
Combined silicon and phosphorus fertilization promoted sugarcane tillering and growth.
- Taxon
- sugarcanee0
- Treatment
- combined application of silicon and phosphorus fertilizere0
- Outcome
- tillering and growthe0
- Direction
- contributed toe0
Not reportedComparator
Verbatim
e0“combined application of silicon and phosphorus fertilizer contributed to tillering and growth of sugarcane.”
Claim · model-written summary
Combined fertilization produced more productive sugarcane stems.
Not reportedComparator
Verbatim
e0“it showed some good characters with more productive stem,higher yield and better quality of sugarcane.”
t0“Silicon and Phosphorus”
Claim · model-written summary
Combined fertilization increased sugarcane yield.
Not reportedComparator
Verbatim
e0“it showed some good characters with more productive stem,higher yield and better quality of sugarcane.”
t0“silicon and phosphorus”
Claim · model-written summary
Combined fertilization improved sugarcane quality.
Not reportedComparator
Verbatim
e0“it showed some good characters with more productive stem,higher yield and better quality of sugarcane.”
t0“silicon and phosphorus”
Claim · model-written summary
The stem yield regression model had R=0.914.
Verbatim
e0“The regression models of stem yield(Y),sugar yield(SY) and P(X_1),Si(X_2) were established by using SAS statistical analysis software,which were Y=110 096.92+4 356.91X_1+2 007.65X_2-1 592.35X_1X_2-5 461.33X2_1-7 442.09X2_2,R=0.914;SY=16 471.85+903.65X_1+424.26X_2-99.02X_1X_2-1 170.08X2_1-1 256.96X2_2,R=0.930,respectively.”
t0“sugarcane”
Claim · model-written summary
The sugar yield regression model had R=0.930.
Verbatim
e0“The regression models of stem yield(Y),sugar yield(SY) and P(X_1),Si(X_2) were established by using SAS statistical analysis software,which were Y=110 096.92+4 356.91X_1+2 007.65X_2-1 592.35X_1X_2-5 461.33X2_1-7 442.09X2_2,R=0.914;SY=16 471.85+903.65X_1+424.26X_2-99.02X_1X_2-1 170.08X2_1-1 256.96X2_2,R=0.930,respectively.”
t0“sugarcane”
Claim · model-written summary
The authors found the yield models fit local conditions and could support fertilizer decisions and forecasts.
Verbatim
e0“The regression mathematics models of sugarcane yield and sugar yield were better fitting with actual situation in the locality,and have higher practical value,so it can be used for fertilizer decision and forecast.”
Claim · model-written summary
The optimized fertilizer doses projected sugarcane yield of 109 405.6 kg/hm2.
- Taxon
- sugarcanee0
- Treatment
- 281.3 kg(P_2O_5)/hm2 and 405.0 kg(SiO_2)/ hm2e0
- Outcome
- sugarcane yielde0
- Value
- 109 405.6e0
Not reportedDirection
Verbatim
e0“when the dosage of phosphorus and silicon were 281.3 kg(P_2O_5)/hm2 and 405.0 kg(SiO_2)/ hm2(P_2O_5∶SiO_2 =1∶1.44),respectively,the sugarcane yield and sugar yield were 109 405.6 and 16 682.3 kg/hm2.”
Claim · model-written summary
The optimized fertilizer doses projected sugar yield of 16 682.3 kg/hm2.
Not reportedDirection
Verbatim
e0“when the dosage of phosphorus and silicon were 281.3 kg(P_2O_5)/hm2 and 405.0 kg(SiO_2)/ hm2(P_2O_5∶SiO_2 =1∶1.44),respectively,the sugarcane yield and sugar yield were 109 405.6 and 16 682.3 kg/hm2.”
Claim · model-written summary
The authors recommend 281.3 kg phosphorus and 405.0 kg silicon fertilizer per hectare for this Guangxi soil.
Verbatim
e0“The best combination between silicon and phosphorus of sugarcane,suitable to soil condition in Lateritic Red Earth Area of Guangxi,was 281.3 kg(P_2O_5)/hm2 and 405.0 kg(SiO_2)/ hm2(P_2O_5∶SiO_2 =1∶1.44).”
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