Results 121 to 130 of about 29,818 (258)

Ameliorative effects of salicylic acid on salt stressed Gossypium hirsutum L. AND Zea mays L. seedlings

, 2012
Ameliorative effects of salicylic acid on salt stressed Gossypium hirsutum L. AND Zea mays L. seedlingsAmeliorative effects of salicylic acid on salt stressed Gossypium hirsutum L.
Elnour Musa Elnour, Wesal
core  

Additional file 1: of Characterization of bHLH/HLH genes that are involved in brassinosteroid (BR) signaling in fiber development of cotton (Gossypium hirsutum)

, 2018
Table S1. The bHLH/HLH gene family of cotton (Gossypium hirsutum). Figure S1. Phylogenetic relationship of cotton (Gossypium hirsutum) bHLH/HLH transcription factors with those of Arabidopsis and rice. Table S2.
Yao Wang (102387), Rui Lu (253432), Xue-Bao Li (309696), Jiao Zhang (591336), Ying-Li Wei (6016727), Dong Liu (115204)   +5 more
core   +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, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

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, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

High‐throughput assessment of plant stand establishment, seedling vigor, and light interception in peanut using UAV‐based RGB and multispectral imagery

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, Jessie H. Adams, Javier Rodriguez‐Sanchez, John L. Snider, Phillip L. Vines, Brian M. Schwartz, Nino Brown   +6 more
wiley   +1 more source

A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia, Joshua Peeples, Seth C. Murray, Andrew McFarland, Troy Vann, Shima Salehi, Robert Hardin, David D. Baltensperger, Amir M. H. Ibrahim, J. Alex Thomasson, Henry Fadamiro, Nithya K. Subramanian, Suresh D. Pillai, Rebecca Roston, Joslin Ishimwe, Diptadeep Basak, Nazar Oladepo, Uday Vysyaraju   +17 more
wiley   +1 more source

Genomic characterization of a MAGIC population containing introgressions from four tetraploid Gossypium species

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract One strategy for increasing the genetic diversity of upland cotton (Gossypium hirsutum) involves the introgression of beneficial alleles from related and wild tetraploid species. Progress in this area has been limited due to undesirable outcomes associated with whole genome interspecific hybridization. To minimize genetic influences from other
Ganesh Pinnika, Ping Li, Jack C. McCarty, Johnie N. Jenkins, David D. Fang   +4 more
wiley   +1 more source

The Regional Collection of Gossypium Germplasm [PDF]

Contents: Introduction --- Collection of Races of “Gossypium Hirsutum” Obtained by Exploration in Mexico and Guatemala --- Cotton Expedition to Guatemala and Mexico (by J. O.
Agricultural Research Service
core   +1 more source

Seed size effects on early‐season growth, yield, and fiber quality of cotton

Crop Science, Volume 66, Issue 6, November/December 2026.
Abstract Early‐planted cotton (Gossypium hirsutum L.) in the US Southern High Plains often encounters suboptimal growing conditions, which can delay emergence and reduce seedling vigor. Seed size is frequently associated with stand establishment, but the difficulty of testing seed size independent of cultivar has limited the ability to test the effects
Zelalem A. Alemar, Irish Lorraine B. Pabuayon, Brendan Kelly, Glen L. Ritchie   +3 more
wiley   +1 more source

Past, present and future of local crop evolution

PLANTS, PEOPLE, PLANET, Volume 8, Issue 6, Page 1989-2004, November 2026.
Promoting agrobiodiversity is a promising strategy for mitigating the negative effects of climate change on global food security. We highlight the central role evolutionary processes play in harnessing the potential of local crops by integrating genomics, archaeology, ethnobotany and traditional ecological knowledge (TEK).
Nataly Allasi Canales, Philippa Ryan, Amy Jackson, Hong Phuong Le, James Borrell, Aaron Davis, Rafal M. Gutaker   +6 more
wiley   +1 more source