Results 11 to 20 of about 4,857,354 (360)

Transcriptome analysis for understanding the mechanism of dark septate endophyte S16 in promoting the growth and nitrate uptake of sweet cherry

Journal of Integrative Agriculture, 2021
Sweet cherry is one of the most popular fresh fruits in the world. Previously, we isolated a soilborne dark septate endophyte (DSE) strain, S16, which promoted the growth of Gisela 5 sweet cherry rootstock.
Fan-lin WU, De-hui QU, Wei TIAN, Meng-yun WANG, Fei-yan CHEN, Ke-ke LI, Ya-dong SUN, Ying-hua SU, Li-na YANG, Hong-yan SU, Lei WANG   +10 more
doaj   +1 more source

Deep learning for crop yield prediction: a systematic literature review

New Zealand journal of crop and horticultural science, 2022
Deep Learning has been applied for the crop yield prediction problem, however, there is a lack of systematic analysis of the studies. Therefore, this study aims to provide an overview of the state-of-the-art application of Deep Learning in crop yield ...
Alexandros Oikonomidis, C. Catal, A. Kassahun   +2 more
semanticscholar   +1 more source

The Circadian Clock Gene, TaPRR1, Is Associated With Yield-Related Traits in Wheat (Triticum aestivum L.)

Frontiers in Plant Science, 2020
Timing of flowering is crucial for the transformation from vegetative to reproductive growth in the important food crop, wheat (Triticum aestivum L.). The circadian clock is a central part of photoperiod regulation, with Pseudo-Response Regulators (PRRs)
Han Sun, Han Sun, Wenping Zhang, Yongzhen Wu, Yongzhen Wu, Lifeng Gao, Fa Cui, Fa Cui, Chunhua Zhao, Chunhua Zhao, Zhiai Guo, Jizeng Jia   +11 more
doaj   +1 more source

Vegetation Indices Data Clustering for Dynamic Monitoring and Classification of Wheat Yield Crop Traits

Remote Sensing, 2021
Monitoring the spatial and temporal variability of yield crop traits using remote sensing techniques is the basis for the correct adoption of precision farming.
Stefano Marino, Arturo Alvino
doaj   +1 more source

A Survey on Deep Learning Based Crop Yield Prediction [PDF]

Nature Environment and Pollution Technology, 2023
Agriculture is the most important sector and the backbone of a developing country’s economy. Accurate crop yield prediction models can provide decision-making tools for farmers to make better decisions.
S. Archana and P. Senthil Kumar
doaj   +1 more source

A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction

IEEE Access, 2021
An early and reliable estimation of crop yield is essential in quantitative and financial evaluation at the field level for determining strategic plans in agricultural commodities for import-export policies and doubling farmer’s incomes.
M. Rashid, Bifta Sama Bari, Y. Yusup, M. A. Kamaruddin, Nuzhat Khan   +4 more
semanticscholar   +1 more source

Leaf Removal Affects Maize Morphology and Grain Yield

Agronomy, 2020
Increasing planting density is an important practice associated with increases in maize yield, but densely planted maize can suffer from poor light conditions.
Guangzhou Liu, Yunshan Yang, Wanmao Liu, Xiaoxia Guo, Jun Xue, Ruizhi Xie, Bo Ming, Keru Wang, Peng Hou, Shaokun Li   +9 more
doaj   +1 more source

Plant Development and Crop Yield: The Role of Gibberellins

Plants, 2022
Gibberellins have been classically related to a few key developmental processes, thus being essential for the accurate unfolding of plant genetic programs. After more than a century of research, over one hundred different gibberellins have been described.
Ricardo Castro-Camba, C. Sánchez, N. Vidal, J. Vielba   +3 more
semanticscholar   +1 more source

Crop diversity for yield increase. [PDF]

PLoS ONE, 2009
Traditional farming practices suggest that cultivation of a mixture of crop species in the same field through temporal and spatial management may be advantageous in boosting yields and preventing disease, but evidence from large-scale field testing is ...
Chengyun Li, Xiahong He, Shusheng Zhu, Huiping Zhou, Yunyue Wang, Yan Li, Jing Yang, Jinxiang Fan, Jincheng Yang, Guibin Wang, Yunfu Long, Jiayou Xu, Yongsheng Tang, Gaohui Zhao, Jianrong Yang, Lin Liu, Yan Sun, Yong Xie, Haining Wang, Youyong Zhu   +19 more
doaj   +1 more source

Discovery of Consistent QTLs of Wheat Spike-Related Traits under Nitrogen Treatment at Different Development Stages

Frontiers in Plant Science, 2017
Spike-related traits such as spike length (Sl), fertile spikelet number (Fsn), sterile spikelet number (Ssn), grain number per spike (Gns), and thousand-kernel weight (Tkw) are important factors influencing wheat yield.
Zhiying Deng, Yong Cui, Qingdian Han, Wenqi Fang, Jifa Li, Jichun Tian   +5 more
doaj   +1 more source