scholarly journals Effects of root interaction and nitrogen fertilization on the chlorophyll content, root activity, photosynthetic characteristics of intercropped soybean and microbial quantity in the rhizosphere

2013 ◽  
Vol 59 (No. 2) ◽  
pp. 80-88 ◽  
Author(s):  
X. Zhang ◽  
G. Huang ◽  
X. Bian ◽  
Q. Zhao
Keyword(s):  
Leaf Area ◽  
Chlorophyll Content ◽  
Nitrogen Fertilization ◽  
Photosynthetic Characteristics ◽  
Root Activity ◽  
Green Leaf ◽  
Nitrogen Application ◽  
Nitrogen Levels ◽  
Fertilization Level ◽  
Green Leaf Area

A pot experiment using root separation technique was conducted to further understand the effect of root interaction played in intercropping system under different nitrogen levels. The results showed that root interaction and increasing nitrogen application increased the green leaf area per plant and chlorophyll content of soybean, but their effects gradually decreased with increasing nitrogen fertilization level. Root interaction and increasing nitrogen application can improve photosynthetic characteristics of soybean, but root interaction only had a significant effect under low nitrogen level. The number of bacteria, fungi, actinomycetes and Azotobacteria was also obviously affected by root interaction and nitrogen fertilization, and the number of Azotobacteria presented a changing trend of first increased and then decreased with increasing nitrogen fertilization level. Root interaction and increasing nitrogen application improved soybean yield and its components, but their effects gradually decreased with increasing nitrogen fertilization level. The root activity of soybean was obviously affected by root interaction, and was significantly positively correlated with green leaf area per plant, chlorophyll content, photosynthetic rate and economic yield per plant. Our results indicate that the advantage effect of root interaction and increasing nitrogen application will be partially inhibited with an increasing nitrogen fertilization level.

Prediction of Daily Green Leaf Area Index for Corn 1

1980 ◽  
Vol 72 (6) ◽  
pp. 999-1005 ◽  
Author(s):  
Robert F. Dale ◽  
Dirceu T. Coelho ◽  
Kevin P. Gallo
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Green Leaf ◽  
Area Index ◽  
Green Leaf Area

Using hyperspectral radiometry to predict the green leaf area index of turfgrass

2015 ◽  
Vol 36 (5) ◽  
pp. 1470-1483 ◽  
Author(s):  
Nan An ◽  
Anthony L. Goldsby ◽  
Kevin P. Price ◽  
Dale J. Bremer
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Green Leaf ◽  
Area Index ◽  
Green Leaf Area

scholarly journals A High-Throughput Model-Assisted Method for Phenotyping Maize Green Leaf Area Index Dynamics Using Unmanned Aerial Vehicle Imagery

2019 ◽  
Vol 10 ◽  
Author(s):  
Justin Blancon ◽  
Dan Dutartre ◽  
Marie-Hélène Tixier ◽  
Marie Weiss ◽  
Alexis Comar ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Unmanned Aerial Vehicle ◽  
High Throughput ◽  
Green Leaf ◽  
Area Index ◽  
Throughput Model ◽  
Aerial Vehicle ◽  
Green Leaf Area

scholarly journals Does Maintaining Green Leaf Area in Sorghum Improve Yield under Drought? I. Leaf Growth and Senescence

Crop Science ◽  
2000 ◽  
Vol 40 (4) ◽  
pp. 1026-1037 ◽  
Author(s):  
Andrew K. Borrell ◽  
Graeme L. Hammer ◽  
Andrew C. L. Douglas
Keyword(s):  
Leaf Area ◽  
Leaf Growth ◽  
Green Leaf ◽  
Green Leaf Area

Spectral estimation of Green leaf area index of oats

1985 ◽  
Vol 17 (1) ◽  
pp. 27-36 ◽  
Author(s):  
R.G. Best ◽  
J.C. Harlan
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Spectral Estimation ◽  
Green Leaf ◽  
Area Index ◽  
Green Leaf Area

Leaf modification delays panicle initiation and anthesis in grain sorghum

2001 ◽  
Vol 52 (1) ◽  
pp. 127 ◽  
Author(s):  
S. E. Ockerby ◽  
D. J. Midmore ◽  
D. F. Yule
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Reproductive Development ◽  
Grain Sorghum ◽  
Yield Potential ◽  
Green Leaf ◽  
Sufficient Evidence ◽  
Yield Reduction ◽  
Crop Failure ◽  
Green Leaf Area

Water stress at anthesis is the major cause of yield reduction or crop failure in grain sorghum [Sorghum bicolor (L.) Moench] in central Queensland. Rainfall is difficult to predict and it is impractical to substantially alter the timing and amount of water stored in the soil, so we focussed on whether crop ontogeny could be managed, ultimately giving farmers some capability to align anthesis with in-crop rain. It is widely considered that a signal, transported from the leaf to the shoot apical meristem, is integral to the onset of panicle initiation and reproductive development. We hypothesised that modifying the leaves may interrupt the signal and cause a delay in the onset of reproductive development. Delays in sorghum anthesis associated with leaf modification treatments applied before panicle initiation were found to be a consequence of delays in panicle initiation. The longest delays in panicle initiation were obtained by twice-weekly defoliation above the second ligule (15–45 days); delays were shorter when plants were defoliated above the third ligule (10–41 days) or when only the fully exposed leaves were removed (0–13 days), depending on genotype. Although panicle initiation was delayed, leaf initiation continued, so extra leaves were produced. Defoliation of fully irrigated plants, however, generally reduced green leaf area, plant dry weight at anthesis, and grain yield, all by 30–50%. The application of ethephon also delayed anthesis, and changed the pattern but not the area of leaf produced, and did not alter grain yield. In rain-fed agriculture, where grain yields are frequently <50% of irrigated controls, delaying panicle initiation by 2 weeks may provide a better rainfall environment during which anthesis and grain-filling will occur. Reductions in green leaf area, although reducing yield potential, may promote a more balanced use of water between vegetative and grain growth. There was sufficient evidence to indicate that defoliation before panicle initiation could provide simple post-sowing management to achieve this scenario.

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