Results 261 to 270 of about 90,511 (362)

Machine learning‐based prediction of cereal rye cover crop biomass across diverse agroecosystems

Agricultural &Environmental Letters, Volume 11, Issue 1, June 2026.
Abstract Accurate operational predictions of cereal rye (Secale cereale L.) biomass are critical for quantifying the agroecosystem services provided by cover crops and for guiding growers’ management decisions for subsequent cash crops. In this study, we developed machine learning‐based biomass prediction models using two advanced gradient‐boosted tree
Utsab Ghimire, Alakananda Mitra, David Fleisher, John Park, Jinyoung Y. Barnaby, Yonghyun Kim, Eunjin Han   +6 more
wiley   +1 more source

Ecological and reproductive consequences of endocrine-disrupting chemicals in agricultural systems. [PDF]

Reprod Fertil
Payne W, Pool KR.
europepmc   +1 more source

Which indicators are most effective at detecting rapid shifts in soil health?

Agricultural &Environmental Letters, Volume 11, Issue 1, June 2026.
Abstract Farmers are showing a growing interest in soil health. Therefore, it is necessary to understand how and when indicators respond to changes in land management. Measurements of soil carbon (C) and nitrogen can take up to a decade to shift. However, it is unknown how other biotic markers of soil health (i.e., nematode communities) react.
Kaitlin Gattoni, Meredith Mann, Christine D. Sprunger   +2 more
wiley   +1 more source

From natural regulation processes to technical innovation, what agroecological solutions for the countries of the Global South? [PDF]

, 2019
Goebel, François-Régis, Malézieux, Eric, Rapidel, Bruno, Tixier, Philippe   +3 more
core  

Cropland [PDF]

, 2020
Akiyama, Hiroko, Baldock, Jeffrey, Bernoux, Martial, Bhattacharya, Sumana, Buendia, Leandro, Chirinda, Ngonidzashe, Chuersuwan, Nares, Diaz Lasco, Rodel, Goheer, Muhammad Arif Rashid, Hergoualc’h, Kristell, Ishizuka, Shigehiro, Kishimoto, Ayaka W. Mo, McConkey, Brian, Ogle, Stephen Michael, Pan, Xuebiao, Pathak, Himanshu, Regina, Kristiina, Sato, Atsushi, Vázquez Amabile, Gabriel, Wakelin, Stephen John, Wang, Changke, Zheng, Xunhua   +21 more
core  

Nitrogen dynamics and physiological N use efficiency in high‐biomass sorghum

Agricultural &Environmental Letters, Volume 11, Issue 1, June 2026.
Abstract Improving nitrogen (N) efficiency is essential for sustainable high‐biomass sorghum (Sorghum bicolor L. Moench) production. This study evaluated leaf and stem N dynamics, canopy N remobilization, and physiological nitrogen use efficiency (pNUE) in two photoperiod‐sensitive sorghum hybrids under two N rates (0 and 168 kg‐N ha−1) across multiple
Chunhwa Jang, Leo Hoffmann Jr., Maria Villamil, William Rooney, DoKyoung Lee   +4 more
wiley   +1 more source

Identification and evaluation of agroecosystem compartments as forage sources for free-ranging goats in smallholder farming systems of western Democratic Republic of Congo. [PDF]

Vet Anim Sci
Ndona A, Batoba AK, Lutete E, Mutiaka BK, Moulin CH, Beckers Y, Bindelle J.   +6 more
europepmc   +1 more source

Trade-offs in cotton pest management: Seed treatments suppress pests but reduce the abundance of natural enemies in the arthropod community. [PDF]

PLoS One
Yalçin M.
europepmc   +1 more source

3N Agriculture: Growing the greenest tomorrow

Agricultural &Environmental Letters, Volume 11, Issue 1, June 2026.
Abstract The global food system must confront the intertwined challenges of feeding a growing population, reversing environmental degradation, and improving nutrition. While past agricultural innovations improved yields, they often undermined sustainability and food quality. In response, we propose the 3N Agriculture framework—Net‐Zero, Nature‐Positive,
Damien J. Field, Budiman Minasny, Alexander B. McBratney   +2 more
wiley   +1 more source