Effects of Differential Defoliation on Shoot Growth, Density and Phytomass of Three Graminoids in a Calcareous Fen

Oikos ◽  
1987 ◽  
Vol 50 (2) ◽  
pp. 183 ◽  
Author(s):  
Matthias W. Diemer ◽  
Jörg Pfadenhauer ◽  
Jorg Pfadenhauer
Keyword(s):  
Shoot Growth ◽  
Calcareous Fen

Influence of potting media types and weights on emergence and shoot growth of avocado (Persea americanaMill.) seedlings

Fruits ◽  
2003 ◽  
Vol 58 (6) ◽  
pp. 345-356
Author(s):  
Edossa Etissa ◽  
Seifu G Mariam ◽  
H. Ravishanker
Keyword(s):  
Shoot Growth ◽  
Potting Media ◽  
Media Types

Estimating nitrogen contents of apple leaves based on hyperspectral parameter models at different phenophases

2016 ◽  
Vol 6 (2) ◽  
pp. 942-952
Author(s):  
Xicun ZHU ◽  
Zhuoyuan WANG ◽  
Lulu GAO ◽  
Gengxing ZHAO ◽  
Ling WANG
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Shoot Growth ◽  
Hyperspectral Data ◽  
Estimation Model ◽  
Apple Leaves ◽  
Bp Neural Network Model ◽  
Nitrogen Contents

The objective of the paper is to explore the best phenophase for estimating the nitrogen contents of apple leaves, to establish the best estimation model of the hyperspectral data at different phenophases. It is to improve the apple trees precise fertilization and production management. The experiments were done in 20 orchards in the field, measured hyperspectral data and nitrogen contents of apple leaves at three phenophases in two years, which were shoot growth phenophase, spring shoots pause growth phenophase, autumn shoots pause growth phenophase. The study analyzed the nitrogen contents of apple leaves with its original spectral and first derivative, screened sensitive wavelengths of each phenophase. The hyperspectral parameters were built with the sensitive wavelengths. Multiple stepwise regressions, partial least squares and BP neural network model were adopted in the study. The results showed that 551 nm, 716 nm, 530 nm, 703 nm; 543 nm, 705 nm, 699 nm, 756 nm and 545 nm, 702 nm, 695 nm, 746 nm were sensitive wavelengths of three phenophases. R551+R716, R551*R716, FDR530+FDR703, FDR530*FDR703; R543+R705, R543*R705, FDR699+FDR756, FDR699*FDR756and R545+R702, R545*R702, FDR695+FDR746, FDR695*FDR746 were the best hyperspectral parameters of each phenophase. Of all the estimation models, the estimated effect of shoot growth phenophase was better than other two phenophases, so shoot growth phenophase was the best phenophase to estimate the nitrogen contents of apple leaves based on hyperspectral models. In the three models, the 4-3-1 BP neural network model of shoot growth phenophase was the best estimation model. The R2 of estimated value and measured value was 0.6307, RE% was 23.37, RMSE was 0.6274.

Effects of Shading on Shoot Growth and Component Characteristics in Korean Tea (Carmellia sinensis L.) Cultivars

2018 ◽  
Vol 24 (3) ◽  
pp. 57-63
Author(s):  
In-Kwan Song ◽  
Seong-Bae Kim ◽  
Bo-Hwa Kim ◽  
Jeong-Hee Yoon ◽  
Soon-Young Hong ◽  
...  
Keyword(s):  
Shoot Growth

Isolation and identification of IAA producing endosymbiotic bacteria from Gracillaria corticata (J. Agardh)

2016 ◽  
Vol 5 (12) ◽  
pp. 5179
Author(s):  
Ilahi Shaik* ◽  
P. Janakiram ◽  
Sujatha L. ◽  
Sushma Chandra
Keyword(s):  
Acetic Acid ◽  
Culture Filtrate ◽  
Indole Acetic Acid ◽  
Shoot Growth ◽  
High Salinity ◽  
Saline Soils ◽  
Bacterial Strains ◽  
Isolation And Identification ◽  
Endosymbiotic Bacteria ◽  
Root And Shoot Growth

Indole acetic acid is a natural phytohormone which influence the root and shoot growth of the plants. Six (GM1-GM6) endosymbiotic bacteria are isolated from Gracilaria corticata and screened for the production of IAA out of six, three bacterial strains GM3, GM5 and GM6 produced significant amount of IAA 102.4 µg/ml 89.40 µg/ml 109.43 µg/ml respectively. Presence of IAA in culture filtrate of the above strains is further analyzed and confirmed by TLC. As these bacterial strains, able to tolerate the high salinity these can be effectively used as PGR to increase the crop yield in saline soils.

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