Results 211 to 220 of about 13,368,143 (296)

Genome-wide identification and expression pattern analysis of the COBRA-like gene family of Triticum aestivum (L.) under drought and heat stresses. [PDF]

BMC Plant Biol
Du C, Cui D, Zhou Z, Yang N, Chang Y, Zhu J.   +5 more
europepmc   +1 more source

Phenomic prediction of club wheat milling yields

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Near‐infrared reflectance spectroscopy (NIRS) provides a nondestructive method for estimating physical and chemical grain properties and is widely used in breeding programs to phenotype traits such as texture, color, moisture, protein, and oil content. Club wheat (Triticum aestivum subsp.
Peter Schmuker, Alecia Kiszonas, Sheri Rynearson, Kim Garland‐Campbell, Michael Pumphrey   +4 more
wiley   +1 more source

Genetic identification and characterization of putatively novel, stable, and validated loci for plant height in wheat (Triticum aestivum L.). [PDF]

BMC Genomics
Yao Q, Chen B, Lohani MN, Chen Q, Wang T, Chen J, Wang C, Zhang H, Lu L, Habib A, Ma J, Xie Q.   +11 more
europepmc   +1 more source

Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Predictive breeding has been proposed as an effective approach to accelerate genetic gain for complex traits. Genomic prediction (GP) models have been developed in alfalfa (Medicago sativa L.) for key traits in the last decade. More recently, phenomic prediction (PP) models have been proposed as a low‐cost, high‐throughput alternative to GP in
Pablo Sipowicz, Ayush K. Sharma, Mario H. Andrade, Claudio C. Fernandes Filho, L. Felipe V. Ferrão, Aditya Singh, Anju Biswas, Charlie Messina, Esteban Rios   +8 more
wiley   +1 more source

PGPR-induced regulation of Zn and Fe transporters in wheat (Triticum aestivum L.) uncovered through integrated genome-wide analysis and functional validation. [PDF]

BMC Plant Biol
Maqbool F, Naqvi RZ, Rehman R, Amin I, Imran I, Imran A.   +5 more
europepmc   +1 more source

Phenomic prediction I: Plot‐level prediction of lodging severity in sorghum breeding trials using UAV‐based photogrammetric height data

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lodging in sorghum (Sorghum bicolor (L.) Moench) presents a significant challenge for plant breeders due to the trade‐off between lodging resistance and grain yield. Manually measuring lodging across thousands of plots is time‐consuming, expensive, and error‐prone, making selection for lodging resistance challenging in breeding programs ...
Srinivasa Reddy Mothukuri, Sean Reynolds Massey‐Reed, Andries Potgieter, Kenneth Laws, Colleen Hunt, Esinam Nancy Amuzu‐Aweh, Mark Cooper, Emma Mace, David Jordan   +8 more
wiley   +1 more source

Genomic selection for multi-trait crop improvement in wheat (Triticum aestivum L.): a practical modeling approach. [PDF]

BMC Plant Biol
Jeon D, Choi C, Park JH, Kang CS, Kim JY, Kim C.   +5 more
europepmc   +1 more source

Development and deployment of a public mid‐density genotyping panel for crimson clover (Trifolium incarnatum L.) based on whole‐genome re‐sequencing of diverse germplasm

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Crimson clover (Trifolium incarnatum L.) is an obligately outcrossing, cool‐season annual legume valued for forage and cover cropping, yet genomic resources to support systematic improvement are limited. We performed the first whole‐genome re‐sequencing of global crimson clover germplasm to (i) develop a public mid‐density enrichment capture ...
Mark Philip Castillo, Oluwaseye Gideon Oyebode, Jayson Talag, Victoria Bunting, Navneet Kaur, Paul Doran, Kerrie Barry, Dario Competti, Jeremy Schmutz, Brandon Schlautman, Alan Humphries, Kioumars Ghamkhar, Virginia Moore, Esteban Rios, Alex Harkess, Marnin Wolfe   +15 more
wiley   +1 more source

Exploring the adaptive response of root xylem vessel traits and yield resilience of wheat (Triticum aestivum L.). [PDF]

BMC Plant Biol
Nirmalaruban R, Yadav R, Alekya M, Sugumar S, Mazumder AK, Babu P, Kumar M, Gaikwad KB, Bainsla NK, Singh SK, Mandal PK, Das TR.   +11 more
europepmc   +1 more source

A haplotype‐based approach to explore genotype‐by‐environment interactions for barley yield

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Climate change poses a significant threat to cereal production, making it increasingly important to understand the role of genotype‐by‐environment interactions (GEIs) in crops. Traditional breeding approaches consider GEIs at a whole genotype level missing valuable breeding potential that can be dissected by exploring this relationship at a ...
Stephanie M. Brunner, Zachary Aldiss, Samir Alahmad, Madhav Pandit, Silvina Baraibar, Dini Ganesalingam, David Moody, Lee Hickey, Kai P. Voss‐Fels, Hannah Robinson   +9 more
wiley   +1 more source