📄 agriculture

Performance comparison of the Penman-Monteith-based evapotranspiration models in a citrus orchard of Southwest China

This study evaluates five Penman-Monteith-based models using four years of eddy covariance data in a Southwest China citrus orchard, revealing that the Hybrid-Dual Source (H-D) model generally outperforms others across temporal scales and growth stages while highlighting the critical sensitivity of evapotranspiration estimates to canopy resistance and soil water content.

Bin Zhu, Qingyan He, Ningbo Cui, Manxue Zhang, Ziling He, Yu Feng, Yuelei Liu, Zhihui Wang, Guoyu Zhu, Liwen Xing, Shouz (…)2026-06-24
📄 agriculture

Behavioral and Physiological Welfare Responses of Rhode Island Red Hens Reared in Individual Cage, Colony Cage and Deep-Litter Systems

This study comparing Rhode Island Red hens in individual cages, colony cages, and deep-litter systems under tropical conditions found that while deep-litter housing reduced fear responses and improved specific physical traits like claw length, it also elevated corticosterone levels, highlighting the complex and non-uniform nature of welfare outcomes across different housing systems.

Abhay Kumar, R. R. K. Sinha, S. P. Sahu, K. Kumar, A.K. Kumar Singh, A. Bharti2026-06-24
📄 agriculture

Physiological and transcriptomic analysis reveal the regulation of IBA-induced adventitious root formation in three stone fruit rootstock cuttings

This study elucidates the physiological and transcriptomic mechanisms underlying IBA-induced adventitious root formation in three peach rootstocks by identifying optimal IBA concentrations, characterizing hormone and oxidative stress dynamics, and revealing the dominant role of auxin signaling and specific transcription factors in regulating rooting efficiency.

Fan Zhang, Jiaxuan Ren, Chenbing Wang2026-06-24
📄 agriculture

A Phenology-Aligned Temporal Framework Improves Satellite-Based Field-Level Wheat Grain Protein Prediction

This study demonstrates that aligning multi-source remote sensing and environmental data to field-specific phenological stages, particularly using a 30-day post-peak window with peak-relative normalization, significantly improves the accuracy of satellite-based grain protein concentration prediction in winter wheat compared to traditional fixed-calendar approaches.

Vlasios Mangidis, German Mandrini, Ignacio Antonio Ciampitti2026-06-24