Results 101 to 110 of about 249,331 (250)

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, Shawn P. Conley, David Holshouser, Matthew Inman, Hans Kandel, Jonathan Kleinjan, Carrie A. Knott, Chad Lee, Mark Licht, Laura E. Lindsey, Seth Naeve, Emerson Nafziger, Haleigh J. Ortmeier‐Clarke, Giovani Preza Fontes, Jeremy Ross, Maninder Singh, Rachel Vann   +16 more
wiley   +1 more source

Actively Expressed Intergenic Genes Generated by Transposable Element Insertions in Gossypium hirsutum Cotton

Plants
The genomes and annotated genes of allotetraploid cotton Gossypium hirsutum have been extensively studied in recent years. However, the expression, regulation, and evolution of intergenic genes (ITGs) have not been completely deciphered.
Yongzhuo Guan, Mingao Zhou, Congyu Zhang, Zixuan Han, Yinbao Zhang, Zhiguo Wu, Yuxian Zhu   +6 more
doaj   +1 more source

Evolution and Stress Responses of Gossypium hirsutum SWEET Genes

, 2018
The SWEET (sugars will eventually be exported transporters) proteins are sugar efflux transporters containing the MtN3_saliva domain, which affects plant development as well as responses to biotic and abiotic stresses.
Xiongfeng Ma, Fei Zhang, Daigang Yang, Kunlun He, Wensheng Zhang, Zhenyu Wang, Kuan Sun, Wei Li, Zhongying Ren, Yangai Liu, Chengxiang Song, Xiaoyu Pei, Xiaojian Zhou   +12 more
core   +1 more source

Estimates of genetic parameters for lint quality in upland cotton (Gossypium hirsutum)

Theoretical and Applied Genetics, 1975
In a half diallel set of crosses involving twelve AH (67) parents and in a full diallel set with nine Albar 51 lines the genetic control of three characters of fibre quality, namely effective length, fibre bundle strength and micronaire value could largely be accounted for by an additive (parent + parent) model.
Innes, N. L., Wimble, R. H., Gridley, H. E.   +2 more
openaire   +2 more sources

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

Heterosis studies for quantitative traits in interspecific hybrids of cotton (Gossypium hirsutum L. × Gossypium barbadense L.)

, 2017
<p>A study was conducted in interspecific cotton hybrids (<em>Gossypium hirsutum</em> L. × <em>Gossypium barbadense</em> L.) to assess the extent of the heterosis for eight yield and yield attributing traits. Twelve lines of
Abhay Narayan Salve, Anil Devidas Adsare, Patil, Narendrakumar Prakash, Narendrakumar Prakash Patil, Salve, Abhay Narayan, Adsare, Anil Devidas   +5 more
core   +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

Cotton (Gossypium hirsutum) MatP6 and MatP7 Oleosin Genes [PDF]

Plant Physiology, 1993
D W, Hughes, H Y, Wang, G A, Galau
openaire   +2 more sources

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

Genetic divergence among African and American cotton (Gossypium hirsutum L. race latifolium H.) cultivars and inbred lines through random amplification of polymorphic DNA (RAPD) markers. [PDF]

, 2015
Cotton (Gossypium spp.) is an important cash crop and the second largest source of textile fiber and edible oil throughout the world. This study was conducted to investigate the genetic divergence through random amplified polymorphism (RAPD) molecular ...
Moiana, LD, Gonçalves-Vidigal, MC, Gonela, A, Chamuene, A, Filho, PSV, Maleia, MP, Lacanallo, GF, de Sousa, LL, Darben, LM   +8 more
core   +1 more source