Results 191 to 200 of about 1,551,268 (251)

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

Mapping of QTLs for Yield Traits Using F_2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara. [PDF]

Front Plant Sci, 2022
Beerelli K, Balakrishnan D, Addanki KR, Surapaneni M, Rao Yadavalli V, Neelamraju S.   +5 more
europepmc   +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

Comparative Morpho-Physiological, Biochemical, and Gene Expressional Analyses Uncover Mechanisms of Waterlogging Tolerance in Two Soybean Introgression Lines. [PDF]

Plants (Basel)
Sharmin RA, Karikari B, Bhuiyan MR, Kong K, Yu Z, Zhang C, Zhao T.   +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

Identification of reliable QTLs and designed QTL breeding for grain shape and milling quality in the reciprocal introgression lines in rice. [PDF]

BMC Plant Biol
Emelin M, Qiu X, Fan F, Alamin M, Faruquee M, Hu H, Xu J, Yang J, Xu H, Ali J, Liu B, Shi Y, Li Z, Zhang L, Zheng T, Xu J.   +15 more
europepmc   +1 more source

Diverse Wheat-Alien Introgression Lines as a Basis for Durable Resistance and Quality Characteristics in Bread Wheat. [PDF]

Front Plant Sci, 2020
Johansson E, Henriksson T, Prieto-Linde ML, Andersson S, Ashraf R, Rahmatov M.   +5 more
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

A Coordinated Suite of Wild-Introgression Lines in <i>Indica</i> and <i>Japonica</i> Elite Backgrounds. [PDF]

Front Plant Sci, 2020
Singh N, Wang DR, Ali L, Kim H, Akther KM, Harrington SE, Kang JW, Shakiba E, Shi Y, DeClerck G, Meadows B, Govindaraj V, Ahn SN, Eizenga GC, McCouch SR.   +14 more
europepmc   +1 more source

Development of Wheat-Aegilops caudata Introgression Lines and Their Characterization Using Genome-Specific KASP Markers. [PDF]

Front Plant Sci, 2020
Grewal S, Othmeni M, Walker J, Hubbart-Edwards S, Yang CY, Scholefield D, Ashling S, Isaac P, King IP, King J.   +9 more
europepmc   +1 more source