Results 211 to 220 of about 54,004 (292)

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

Affordable, practical, and robust biomass estimation in rice with minimal equipment using deep learning‐based image segmentation

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant biomass measurements are critical for crop improvement and breeding programs. Such measurements rely on destructive and labor‐intensive methods that limit continuous measurements of biomass over plant growth stages and time. This study aimed to develop an inexpensive, nondestructive method for estimating aboveground biomass in rice ...
John R. Mitchell, Jai S. Rohila, Trevis D. Huggins, Sathish K. Ponniah, Jeremy D. Edwards   +4 more
wiley   +1 more source

Introgression and Divergence in a Young Species Group. [PDF]

Mol Ecol
Satokangas I, Martin SH, Seifert B, Puukko T, Schultz R, Helanterä H, Kulmuni J.   +6 more
europepmc   +1 more source

Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Ascochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high‐throughput evaluation of plant–pathogen interactions in genotypes which can serve as sources of resistance.
Florian Tanner, Judith Atieno, Sara Blake, Marzena Krysinska‐Kaczmarek, Chris Brien, Mohsen Khani, Kenneth Clarke, Darren Plett, Jennifer Davidson, Bettina Berger   +9 more
wiley   +1 more source

ERICA-trio: an outgroup-free deep learning method for topology inference and introgression detection. [PDF]

Brief Bioinform
Zhang Y, Lv W, Zhang W.
europepmc   +1 more source

Genome‐wide association analysis of resistance to scald in an adapted multiparent winter malting barley population

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Scald, caused by the fungus Rhynchosporium graminicola Heinsen 1897, is a major foliar disease in winter malting barley (Hordeum vulgare L). Resistance to scald in winter malting barley is controlled by major and minor resistance genes. We used a population of 377 lines derived from biparental crosses among five winter malting barley parents ...
J. M. Kolkman, S. S. Sepp, K. Kunze, G. C. Bergstrom, M. E. Sorrells   +4 more
wiley   +1 more source

Genomic resources to advance seed coat color and patterning genetics and breeding in common bean (Phaseolus vulgaris L.). [PDF]

Plant Genome
Roy J, Lee R, Osborne C, Miklas PN, Osorno JM, McClean PE.   +5 more
europepmc   +1 more source

Asymmetric introgression and thermal advantage jointly drive climate-mediated lineage turnover in a mixed-ploidy reed. [PDF]

Elife
Liu L, Sheng W, Wang Y, Lin L, Wang C, Song H, Guo Y, Guo W.   +7 more
europepmc   +1 more source

Genome‐wide prediction of cloned disease resistance homologues across the Oryza genus

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract The wild relatives of rice (Oryza sativa L.) represent reservoirs of genetic diversity and potential sources of novel pest and disease resistance. The recent availability of high‐quality Oryza genome assemblies has enabled greater exploration of this diversity across the genus.
Sabrina Morrison, Jacqueline Batley, Ian Paul Navea, Van Schepler‐Luu, Robert J. Henry   +4 more
wiley   +1 more source

What has population genomics told us about the dynamics of selection and plant adaptation? [PDF]

Mol Biol Evol
Gaut BS, Wright SI, Wang T, Morrell PL.
europepmc   +1 more source