Addressing research bottlenecks to crop productivity

M Reynolds, OK Atkin, M Bennett, M Cooper… - Trends in Plant …, 2021 - cell.com
Asymmetry of investment in crop research leads to knowledge gaps and lost opportunities to
accelerate genetic gain through identifying new sources and combinations of traits and …

Functional adaptations and trait plasticity of urban trees along a climatic gradient

M Esperon-Rodriguez, PD Rymer, SA Power… - Urban Forestry & Urban …, 2020 - Elsevier
In urban environments, long-term tree survival and performance requires physiological
tolerance or phenotypic plasticity in plant functional traits. Knowledge of these traits can …

Can evolutionary history predict plant plastic responses to climate change?

H Liu, Q Ye, KJ Simpson, E Cui, J Xia - New Phytologist, 2022 - Wiley Online Library
Plant plastic responses are critical to the adaptation and survival of species under climate
change, but whether they are constrained by evolutionary history (phylogeny) is largely …

High-throughput, dynamic, multi-dimensional: an expanding repertoire of plant respiration measurements

BM O'Leary, AP Scafaro, LM York - Plant Physiology, 2023 - academic.oup.com
A recent burst of technological innovation and adaptation has greatly improved our ability to
capture respiration rate data from plant sources. At the tissue level, several independent …

Acclimation of leaf photosynthesis and respiration to warming in field‐grown wheat

O Coast, BC Posch, H Bramley, O Gaju… - Plant, Cell & …, 2021 - Wiley Online Library
Climate change and future warming will significantly affect crop yield. The capacity of crops
to dynamically adjust physiological processes (ie, acclimate) to warming might improve …

Acclimation of leaf respiration temperature responses across thermally contrasting biomes

L Zhu, KJ Bloomfield, S Asao, MG Tjoelker… - New …, 2021 - Wiley Online Library
Short‐term temperature response curves of leaf dark respiration (R–T) provide insights into
a critical process that influences plant net carbon exchange. This includes how respiratory …

Eucalyptus growth recognition using machine learning methods and spectral variables

BR de Oliveira, AAP da Silva, LPR Teodoro… - Forest Ecology and …, 2021 - Elsevier
Growth and production models can help to simulate the growth of tree dimensions to predict
forest productivity at different levels. In this context, the following questions arise:(i) is it …

Leaf economic and hydraulic traits signal disparate climate adaptation patterns in two co-occurring woodland eucalypts

SM Prober, BM Potts, PA Harrison, G Wiehl, TG Bailey… - Plants, 2022 - mdpi.com
With climate change impacting trees worldwide, enhancing adaptation capacity has become
an important goal of provenance translocation strategies for forestry, ecological renovation …

[HTML][HTML] A simple method for Eucalyptus species discrimination: FTIR spectroscopy and machine learning

M Lacerda, T Franca, C Calvani, B Marangoni… - Results in …, 2024 - Elsevier
Wood sample classification is crucial in forestry, woodworking, and conservation efforts. It
involves categorizing wood species based on physical characteristics like grain patterns …

The leaf economics spectrum of triploid and tetraploid C4 grass Miscanthus x giganteus

S Li, CA Moller, NG Mitchell, DG Martin… - Plant, Cell & …, 2022 - Wiley Online Library
The leaf economics spectrum (LES) describes multivariate correlations in leaf structural,
physiological and chemical traits, originally based on diverse C3 species grown under …