Results 1 to 10 of about 175,768 (262)

Application of crop growth models in crop yield assessment [PDF]

Frontiers in Plant Science
Global food security is facing formidable challenges due to rising temperatures, frequent extreme weather events, growing water scarcity, cropland reduction, fluctuations in international food trade, and rising food demand.
Zi Ye, Lanqing Liao, Guiqin Qiu, Yurong Xiao, Dajun Huang, Zilin Duan, Shihuang Pu, Jiancheng Wen   +7 more
doaj   +2 more sources

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

Heteroskedasticity in Crop Yield Models

Journal of Agricultural and Resource Economics, 1992
This study examines three alternative models of correcting for heteroskedasticity in wheat yield: The time trend variance, the GARCH, and an econometric model that includes the potential sources of heteroskedasticity.
Seung-Ryong Yang, Won W. Koo, William W. Wilson   +2 more
doaj   +4 more sources

Drought and crop yield [PDF]

Plant Biology, 2021
AbstractEpisodes of water shortage occur in most agricultural regions of the world. Their durations and intensities increase, and their seasonal timing alters with changing climate. During the ontogenic cycle of crop plants, each development stage, such as seed germination, seedling establishment, vegetative root and shoot growth, flowering ...
K.‐J. Dietz, C. Zörb, C.‐M. Geilfus
openaire   +3 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

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

Crop‐Yield Distributions Revisited [PDF]

American Journal of Agricultural Economics, 2003
AbstractThis article revisits the issue of crop‐yield distributions using improved model specifications, estimation, and testing procedures that address the concerns raised in recent literature, which could have invalidated previous findings of yield nonnormality.
Octavio A. Ramirez, Sukant Misra, James Field   +2 more
openaire   +2 more sources

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