Results 11 to 20 of about 24,933 (216)

Scione rufipes

open access: yes
Scione rufipes (Kröber, 1930) Rhinotriclista rufipes Kröber, 1930: 147. Scione rufipes; Kröber, 1934: 235 (cat.); Pechuman, 1942: 52 (Venezuela spp.); Bequaert & Renjifo-Salcedo, 1946: 63 (Colombia spp.); Fairchild, 1971: 27 (cat.); Moucha, 1976: 40 (cat.); Fairchild & Burger, 1994: 51 (cat.); Coscarón & Papavero, 2009: 54 (cat.).
Oliveira, Lia Pereira   +3 more
  +20 more sources

Physiological dominance of the scion in shaping root architecture under suboptimal temperature. [PDF]

open access: yesJ Sci Food Agric
Abstract BACKGROUND Non‐optimal temperatures have become a major constraint on plant development under rapidly changing climatic conditions. Both suboptimal and supra‐optimal temperatures reduce physiological activity, alter plant morphology, lead to plant mortality, and ultimately decrease crop productivity.
Cochavi A   +4 more
europepmc   +2 more sources

Apple scion cultivars regulate the rhizosphere microbiota of scion/rootstock combinations [PDF]

open access: yesApplied Soil Ecology, 2020
Abstract Grafting is a useful technique in the production of horticultural products. In addition to providing root system, rootstocks can increase stress tolerance of plants, influence scion growth and fruit yield, and harbor rich microbial community.
Yi Wang   +7 more
openaire   +2 more sources

PENETRATION OF SCION BY STOCK [PDF]

open access: yesJournal of Heredity, 1918
n ...
openaire   +1 more source

Modelling the variation in wood density of New Zealand-grown Douglas-fir

open access: yesNew Zealand Journal of Forestry Science, 2017
Background Wood density is an important property that affects the performance of Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) timber. In order to develop strategies to achieve certain end-product outcomes, forest managers and wood processors ...
Mark O. Kimberley   +3 more
doaj   +1 more source

Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response

open access: yesRemote Sensing, 2021
The ability of deep convolutional neural networks (deep learning) to learn complex visual characteristics offers a new method to classify tree species using lower-cost data such as regional aerial RGB imagery.
Grant D. Pearse   +3 more
doaj   +1 more source

Characterising prediction error as a function of scale in spatial surfaces of tree productivity

open access: yesNew Zealand Journal of Forestry Science, 2017
Background Two indices, the 300 Index and Site Index, are commonly used to quantify productivity of Pinus radiata D.Don within New Zealand. Although maps of these indices exist, availability of new data and modifications to underlying models makes a ...
Mark O. Kimberley   +2 more
doaj   +1 more source

Assessing the Potential of Backpack-Mounted Mobile Laser Scanning Systems for Tree Phenotyping

open access: yesRemote Sensing, 2022
Phenotyping has been a reality for aiding the selection of optimal crops for specific environments for decades in various horticultural industries. However, until recently, phenotyping was less accessible to tree breeders due to the size of the crop, the
Robin J. L. Hartley   +7 more
doaj   +1 more source

Effect of trait’s expression level on single-step genomic evaluation of resistance to Dothistroma needle blight

open access: yesBMC Plant Biology, 2020
Background Many conifer breeding programs are paying increasing attention to breeding for resistance to needle disease due to the increasing importance of climate change.
Jaroslav Klápště   +3 more
doaj   +1 more source

Chasing genetic correlation breakers to stimulate population resilience to climate change

open access: yesScientific Reports, 2022
Global climate change introduces new combinations of environmental conditions, which is expected to increase stress on plants. This could affect many traits in multiple ways that are as yet unknown but will likely require the modification of existing ...
Jaroslav Klápště   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy