Results 121 to 130 of about 676,201 (311)
THE IMPACT OF INTEREST RATES ON OPTIMAL TIME ON FEED AND MARKET WEIGHT FOR BEEF CATTLE [PDF]
Agricultural Finance, Livestock Production/Industries,
Apland, Jeffrey, Geigel, Joanne M.
core +1 more source
This study investigates the genetic and microbial factors influencing the susceptibility of Diaphorina citri to the citrus greening pathogen Candidatus Liberibacter asiaticus (CLas), employing a microbiome Genome Wide Association Study. The research identifies a key gene encoding an MFS‐type transporter contributing to CLas infectivity and abundance in
Kai Liu +12 more
wiley +1 more source
Dynamic Optimization of Nitrogen Use in Agriculture [PDF]
Agricultural and Food Policy, Crop Production/Industries,
Burnett, J. Wesley +1 more
core +1 more source
This study shows that BLADE‐ON‐PETIOLE (BOP) proteins regulate floral abscission and senescence in tomato by interacting with TFAM1 to form transcriptional condensates controlling the ARABIDOPSIS THALIANA HOMEOBOX GENE 1 (ATH1)‐mediated abscission pathway.
Nan Xiao +7 more
wiley +1 more source
AGRICULTURAL AND INDUSTRIAL BACTERIOLOGY [PDF]
openaire +2 more sources
China's Melamine in Milk Scandal: Failures All Around [PDF]
Agricultural and Food Policy, Livestock Production/Industries,
Klein, Kurt K., Xiu, Changbai
core +1 more source
This study performs pan‐viromic profiling of 14,529 samples from 5,710 domestic herbivores across five Chinese provinces, establishing the DhCN‐Virome (1,085,360 viral metagenomes). It reveals species/sample‐specific viromic signatures and cross‐species transmission dynamics, aiding unified disease control.
Yue Sun +19 more
wiley +1 more source
AGRICULTURAL AND INDUSTRIAL BACTERIOLOGY [PDF]
openaire +2 more sources
Potential Deficit Reduction Efforts and WTO Cotton Ruling Adding to Policy Uncertainty [PDF]
Agricultural and Food Policy, Crop Production/Industries, International Relations/Trade,
Harris, Harold M., Jr., Outlaw, Joe L.
core +1 more source
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu +9 more
wiley +1 more source

