Results 261 to 270 of about 98,513 (306)
Morphological Response of Bermudagrass Genotypes to Neutral-density Shade
Anmol Kajla +6 more
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This study systematically reveals a complex interactive network involving plants, microbes, and insects, elucidating the ecological and molecular mechanisms by which cotton enhances its resistance to aphids through the active recruitment of the beneficial soil bacterium Delftia tsuruhatensis.
Hui Xue +11 more
wiley +1 more source
Note on leaf area index in a solitary plant
Wassink, E.C., van den Noort, M.E.
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Specific leaf area and leaf area index distribution in a young Douglas-fir plantation
The spatial distribution of specific leaf area and leaf area index of needles in different age classes has been investigated in a young and unthinned Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) plantation in Central Italy through the destructive analysis of 12 trees sampled in four diameter size classes.
BORGHETTI, Marco +2 more
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Leaf area index (LAI), the total one-sided green leaf area per unit of ground surface, is an important structural property of vegetation. Because leaf surfaces are the primary sites of energy and mass exchange, important processes such as canopy ...
H. Fang, S. Liang
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Leaf Area Index and Specific Leaf Area Determinations
Journal of Agronomic Education, 1972ABSTRACTLeaf area is measured by several methods and area per unit leaf weight (specific leaf area) is calculated. Leaf area index is then calculated as the product of leaf yield and specific leaf area. Procedures and equipment needed are described.
D. D. Wolf, E. W. Carson, R. H. Brown
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International Journal of Remote Sensing, 1988
Abstract The geometrical structure of a vegetation canopy determines the amount of foliage presented to a sensor and the form of the relationship between reflectance and vegetation amount. The aim of this study was to develop a practical measure of vegetation amount that was sensitive to canopy geometry.
P. J. CURRAN, N. W. WARDLEY
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Abstract The geometrical structure of a vegetation canopy determines the amount of foliage presented to a sensor and the form of the relationship between reflectance and vegetation amount. The aim of this study was to develop a practical measure of vegetation amount that was sensitive to canopy geometry.
P. J. CURRAN, N. W. WARDLEY
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2013
This chapter briefly introduces the inversion algorithms used, discusses the product characteristics and validation results, and presents preliminary analyses and applications. The inversion algorithm was developed to estimate LAI from time-series remote sensing data using general regression neural networks (GRNNs).
Shunlin Liang +5 more
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This chapter briefly introduces the inversion algorithms used, discusses the product characteristics and validation results, and presents preliminary analyses and applications. The inversion algorithm was developed to estimate LAI from time-series remote sensing data using general regression neural networks (GRNNs).
Shunlin Liang +5 more
openaire +1 more source
The Journal of Agricultural Science, 2002
A field study was conducted at the International Rice Research Institute (IRRI), Philippines during the dry seasons of 1997 and 1998 under irrigated conditions. The objectives of this study were to quantify the critical leaf area index (LAIc) at which tillering stops based on the relationship between tillering rate and LAI, and to determine the effect ...
X. ZHONG +4 more
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A field study was conducted at the International Rice Research Institute (IRRI), Philippines during the dry seasons of 1997 and 1998 under irrigated conditions. The objectives of this study were to quantify the critical leaf area index (LAIc) at which tillering stops based on the relationship between tillering rate and LAI, and to determine the effect ...
X. ZHONG +4 more
openaire +1 more source
Critical Leaf Area Index in Pigeonpea
Journal of Agronomy and Crop Science, 1987AbstractExperiment conducted with six pigeonpea cultivars over three seasons revealed that the critical leaf area index was 5.3 which coincided with the maximum crop growth rate and optimum net assimilation rate. It was also evident that the crop growth rate was influenced more by NAR rather than LAI. This study also suggests that by maintaining higher
K. Balakrishnan +2 more
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