Seasonal crop yield forecast: Methods, applications, and accuracies

B Basso, L Liu - advances in agronomy, 2019 - Elsevier
The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …

Breeding for yield potential and stress adaptation in cereals

JL Araus, GA Slafer, C Royo… - Critical Reviews in Plant …, 2008 - Taylor & Francis
The need to accelerate breeding for increased yield potential and better adaptation to
drought and other abiotic stresses is an issue of increasing urgency. As the population …

Prediction of field-scale wheat yield using machine learning method and multi-spectral UAV data

C Bian, H Shi, S Wu, K Zhang, M Wei, Y Zhao, Y Sun… - Remote Sensing, 2022 - mdpi.com
Accurate prediction of food crop yield is of great significance for global food security and
regional trade stability. Since remote sensing data collected from unmanned aerial vehicle …

Stay-green in spring wheat can be determined by spectral reflectance measurements (normalized difference vegetation index) independently from phenology

MS Lopes, MP Reynolds - Journal of experimental botany, 2012 - academic.oup.com
The green area displayed by a crop is a good indicator of its photosynthetic capacity, while
chlorophyll retention or 'stay-green'is regarded as a key indicator of stress adaptation …

UAV-based hyperspectral and ensemble machine learning for predicting yield in winter wheat

Z Li, Z Chen, Q Cheng, F Duan, R Sui, X Huang, H Xu - Agronomy, 2022 - mdpi.com
Winter wheat is a widely-grown cereal crop worldwide. Using growth-stage information to
estimate winter wheat yields in a timely manner is essential for accurate crop management …

Spectral reflectance to estimate genetic variation for in‐season biomass, leaf chlorophyll, and canopy temperature in wheat

MA Babar, MP Reynolds, M Van Ginkel, AR Klatt… - Crop …, 2006 - Wiley Online Library
Spectral indices as a selection tool in plant breeding could improve genetic gains for
different important traits. The objectives of this study were to assess the potential of using …

Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley

P Rischbeck, S Elsayed, B Mistele, G Barmeier… - European Journal of …, 2016 - Elsevier
Yield modelling based on visible and near infrared spectral information is extensively used
in proximal and remote sensing for yield prediction of crops. Distance and thermal …

Promising eco‐physiological traits for genetic improvement of cereal yields in Mediterranean environments

GA Slafer, JL Araus, C Royo… - Annals of applied …, 2005 - Wiley Online Library
Breeding for improved productivity has been tremendously successful in the last half‐
century, but needs to be even more efficient in the future. Hope based on contributions from …

Evaluating potential genetic gains in wheat associated with stress‐adaptive trait expression in elite genetic resources under drought and heat stress

MP Reynolds, CS Pierre, ASI Saad, M Vargas… - Crop …, 2007 - Wiley Online Library
While genetic resources provide an invaluable gene pool for crop breeding, the majority of
accessions in germplasm collections remain uncharacterized and their potential to improve …

Spectral reflectance indices as a potential indirect selection criteria for wheat yield under irrigation

MA Babar, MP Reynolds, M Van Ginkel, AR Klatt… - Crop …, 2006 - Wiley Online Library
The objectives of this study were to assess the potential of using spectral reflectance indices
(SRI) as an indirect selection tool to differentiate spring wheat (Triticum aestivum L.) …