Results 11 to 20 of about 228,343 (310)

Identification of traits and genes associated with lodging resistance in maize

Crop Journal, 2021
Lodging is a major problem limiting maize yield worldwide. However, the mechanisms of lodging resistance remain incompletely understood for maize. Here, we evaluated 443 maize accessions for lodging resistance in the field.
Yu Guo, Qingguo Du, Yafei Wang
exaly   +3 more sources

Understanding of crop lodging and agronomic strategies to improve the resilience of rapeseed production to climate change

Crop and Environment, 2022
Crop lodging has long been recognized as one of the severe yield limiting constraints for rapeseed (Brassica napus) production worldwide. Lodging directly impairs seed yield and quality by interfering with photosynthesis, dry matter accumulation and ...
Wei Wu, Bao–Luo Ma
exaly   +3 more sources

Validating the contributions of stem and root traits to barley lodging in western Canada [PDF]

Frontiers in Plant Science
Lodging caused by stem buckling or root anchorage failure results in significant economic losses each year globally due to increased disease load, downgrading of quality, and yield loss.
Michael W. Taylor, Céline A. M. Ferré, Shengjian Ye, Xuan Yang, J. Allan Feurtado, Aaron D. Beattie   +5 more
doaj   +2 more sources

Crop Lodging and The Roles of Lignin, Cellulose, and Hemicellulose in Lodging Resistance

Agronomy, 2022
With increasingly frequent extreme weather events, lodging has become an important limiting factor for crop yield and quality and for mechanical harvesting.
Qing Li, Lijun Ou
exaly   +3 more sources

Decoding Lodging Resistance in Elite Chinese Conventional Rice Varieties: A Phenotypic and Biomechanical Perspective [PDF]

Plants
The lodging resistance of rice is a prerequisite for ensuring yield and rice quality. An in-depth analysis of key traits affecting rice lodging resistance is crucial for guiding the cultivation of excellent rice varieties and field production.
Yufei Li, Lu Zhou, Fan Zhu, Yinmei Tang, Qun Ni, Jing Ren, Biyu Huang, Zhenqian Zhang, Yue Wang, Yulin Peng   +9 more
doaj   +2 more sources

An improved approach to estimating crop lodging percentage with Sentinel-2 imagery using machine learning

International Journal of Applied Earth Observations and Geoinformation, 2022
It is imperative to rapidly and precisely acquire crop lodging area and severity for disaster prevention and yield prediction. However, estimation of crop lodging area at a large scale remains challenging due to the relatively low sensitivity of remote ...
Haixiang Guan, Jianxi Huang, Xuecao Li, Yelu Zeng, Wei Su, Yuyang Ma, Jinwei Dong, Quandi Niu, Wei Wang   +8 more
doaj   +1 more source

QUANTIFYING LODGING PERCENTAGE, LODGING DEVELOPMENT AND LODGING SEVERITY USING A UAV-BASED CANOPY HEIGHT MODEL [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Unmanned Aerial Vehicles (UAVs) are increasingly used, and open new opportunities, in agriculture and phenotyping because of the flexible data acquisition.
N. Wilke, B. Siegmann, F. Frimpong, O. Muller, L. Klingbeil, U. Rascher   +5 more
doaj   +1 more source

Classification of Maize Lodging Extents Using Deep Learning Algorithms by UAV-Based RGB and Multispectral Images

Agriculture, 2022
Lodging depresses the grain yield and quality of maize crop. Previous machine learning methods are used to classify crop lodging extents through visual interpretation and sensitive features extraction manually, which are cost-intensive, subjective and ...
Xin Yang, Shichen Gao, Qian Sun, Xiaohe Gu, Tianen Chen, Jingping Zhou, Yuchun Pan   +6 more
doaj   +1 more source

Evaluating how lodging affects maize yield estimation based on UAV observations

Frontiers in Plant Science, 2023
Timely and accurate pre-harvest estimates of maize yield are vital for agricultural management. Although many remote sensing approaches have been developed to estimate maize yields, few have been tested under lodging conditions.
Yuan Liu, Yuan Liu, Yuan Liu, Chenwei Nie, Chenwei Nie, Zhen Zhang, ZiXu Wang, ZiXu Wang, Bo Ming, Jun Xue, Hongye Yang, Honggen Xu, Lin Meng, Lin Meng, Ningbo Cui, Wenbin Wu, Xiuliang Jin, Xiuliang Jin, Xiuliang Jin   +18 more
doaj   +1 more source

Phenotyping analysis of rice lodging based on a nondestructive mechanical platform

浙江大学学报. 农业与生命科学版, 2023
Traditional rice lodging measurements are time-consuming and destructive to rice plants. This study thus developed an easy-to-implement and nondestructive mechanical platform for phenotyping analysis of rice lodging, which can monitor the lodging ...
LÜ Mengqi, Sunghwan JUNG, MA Zhihong, WAN Liang, SUN Dawei, CEN Haiyan   +5 more
doaj   +1 more source