Results 101 to 110 of about 22,729 (258)
Identification of Cotton Defoliation Sensitive Materials Based on UAV Multispectral Imaging
(1) Background: This study aims to analyze the defoliation and boll opening performance of 123 upland cotton germplasm resources after spraying defoliant, using multispectral data to select relevant vegetation indices and identify germplasm resources ...
Yuantao Guo +8 more
doaj +1 more source
Spatio-temporal modelling of tree defoliation data from the German forest condition survey is statistically challenging, particularly due to irregular grids. In the present study, generalized additive mixed models (GAMMs) were used to estimate the spatio-
Eickenscheidt N +2 more
doaj +1 more source
IN view of the deplorable effect of repeated defoliation of oaks by the larvae of Tortrix viridana, as noted by Mr. E. W. Swanton in NATURE for August 19, p. 250, it may be useful to remind planters that there are two distinct races of British oak (Quercus robur, Linn.), to which some botanists have assigned specific rank as Q.
openaire +2 more sources
ABSTRACT Fall armyworm (FAW) (Spodoptera frugiperda J. E. Smith) has emerged as a serious pest since 2016 in Africa, affecting the food security and livelihoods of millions of smallholder farmers, especially those growing maize. Native genetic resistance to FAW is essential for reducing yield loss.
Adamu Masari Abubakar +6 more
wiley +1 more source
Abstract The two‐spotted spider mite (TSSM; Tetranychus urticae Koch) is a major pest of tomato (Solanum lycopersicum L.), causing substantial yield and quality losses in Ethiopia and worldwide. The present study evaluated the impact of tomato branch pruning and trellising on TSSM populations and yield in the Central Rift Valley tomato production area ...
Amhaeyesus Belete +2 more
wiley +1 more source
Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha +3 more
wiley +1 more source
In recent years, severe hailstorms have caused damage to cotton leaves and stalks. In order to identify the effects of cotton leaf damage on its dry matter accumulation, protective enzyme activity and yield in different periods, in this experiment ...
Wenjun Li +5 more
doaj +1 more source
Abstract Soybean [Glycine max (L.) Merr.] varieties are categorized into different relative maturity groups (MGs) that correspond to the approximate region that the variety is best adapted. Maturity is an important trait that growers consider when deciding which varieties to plant and for breeders as a covariate to compare genotypes.
Nathaniel Burner +2 more
wiley +1 more source
W075-Cotton Defoliation Timing [PDF]
Defoliation is an often-overlooked process that, if done properly, can pay large dividends. Defoliation is relatively easy in some situations and extremely difficult in others.
The University of Tennessee Agricultural Extension Service
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