Results 111 to 120 of about 110,134 (260)
Cotton fiber quality responses to tillage, irrigation, and plant density
Agricultural &Environmental Letters, Volume 11, Issue 2, December 2026.Abstract Understanding how management practices interact with environmental conditions is critical for stabilizing cotton yield and fiber quality. A 2‑year field study (2024–2025) assessed the effects of tillage (conventional tillage [CT]; no‑till [NT]), irrigation regime (all‑row irrigation [ARI]; skip‑row irrigation [SRI]), and planting density (7 ...
Ammar B. Bhandari +2 more
wiley +1 more source
BioTechnologia, 2019 Xanthomonas citri pv. malvacearum (Xcm ) is known to infect the cotton plant (Gossypium hirsutum ) and causing the disease known as cotton bacterial blight.
Rabab A. Keshkeih +2 more
doaj +1 more source
Gossypium hirsutum Linnaeus 1763
, 2007 Gossypium religiosum Linnaeus, Systema Naturae, ed. 12, 2: 462. 1767. "Habitat in Indiis." RCN: 5077. Lectotype (Watt, Wild Cult. Cotton Pl. World: 201, 203, pl. 32. 1907): Turra, Herb. Linn. No. 874.6 (LINN).
Jarvis, Charlie
core +1 more source
Crop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.Abstract Soybean [Glycine max (L.) Merr.] production in North Carolina is supported by a network of knowledgeable field‐based professionals, including Extension agents, crop consultants, and agronomists, who regularly diagnose and manage in‐field issues.
Lilly R. Bunch +13 more
wiley +1 more source
Considerations for Determining Optimal Row Spacing in Soybean Production
Crop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.Abstract Soybean (Glycine max L. Merr.) row spacing in the US varies from about 7 to 40 inches, but there has been a widespread shift from wide (≈30 inches) to narrow (≈15 inches) row spacing in the last decades, largely driven by a consensus that narrow rows can yield higher.
Daniela Carrijo +16 more
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
, 2009 Detalle del ejemplar de Gossypium hirsutum colectado por J. Arturo S.
Enrique Ramirez Garcia
core
Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta +7 more
wiley +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract In peanut (Arachis hypogaea L.), plant stand establishment, seedling vigor, and canopy growth are key determinants of crop performance; yet traditional ground‐based assessment methods can be destructive, labor‐intensive, and limited in throughput.
Ved Parkash +6 more
wiley +1 more source
Distribution and molecular diversity of arborescentGossypiumspecies
, 2011 Mexico is a center of diversity of Gossypium . As currently circumscribed, arborescent Gossypium species (subsection Erioxylum ) are widely distributed in dry deciduous forests located from Sinaloa in the north of its range to Oaxaca in the south of its ...
James McD. Stewart +3 more
core +1 more source