Results 1 to 10 of about 870,191 (308)

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   +4 more sources

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

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

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

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

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

How Does the Waterlogging Regime Affect Crop Yield? A Global Meta-Analysis

Frontiers in Plant Science, 2021
Waterlogging, an abiotic stress, severely restricts crop yield in various parts of the world. Thus, we conducted a meta-analysis of 2,419 comparisons from 115 studies to comprehensively evaluate the overall change in crop yield induced by waterlogging in
Li-xin Tian, Yu-chuan Zhang, Peng-liang Chen, Fei-fei Zhang, Jing Li, Feng Yan, Yang Dong, Bai-li Feng   +7 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

How Can We Realize Sustainable Development Goals in Rocky Desertified Regions by Enhancing Crop Yield with Reduction of Environmental Risks?

Remote Sensing, 2021
To meet the sustainable development goals in rocky desertified regions like Guizhou Province in China, we should maximize the crop yield with minimal environmental costs. In this study, we first calculated the yield gap for 6 main crop species in Guizhou
Boyi Liang, Timothy A. Quine, Hongyan Liu, Elizabeth L. Cressey, Ian Bateman   +4 more
doaj   +1 more source

Crop Yield and Price Distributional Effects on Revenue Hedging [PDF]

, 1996
The use of crop yield futures contracts is examined. The expectation being modeled here reflects that of an Illinois corn and soybeans producer at planting, of revenue realized at harvest.
Chaherli, Nabil M., Hauser, Robert J., Tirupattur, Viswanath   +2 more
core   +1 more source