Results 161 to 170 of about 35,025 (266)

Deciphering the genetic basis of wheat germination under ZnO nano priming and drought stress through integrated QTL mapping and network analyses. [PDF]

BMC Plant Biol
Mahmoud MRI, Sallam A, Karam MA, Moursi YS.   +3 more
europepmc   +1 more source

Developing and deploying an unmanned aerial system–based phenotyping program for maturity to support soybean breeding

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Soybean [Glycine max (L.) Merr.] varieties are categorized into different relative maturity groups (MGs) that correspond to the approximate region that the variety is best adapted. Maturity is an important trait that growers consider when deciding which varieties to plant and for breeders as a covariate to compare genotypes.
Nathaniel Burner, Leonardo M. Bastos, Zenglu Li   +2 more
wiley   +1 more source

QTL mapping, validation, and candidate gene predicting for maize plant architecture traits via bulked segregant analysis plus linkage analysis with F₂ population. [PDF]

BMC Plant Biol
Wang S, Wang Y, Li X, Ge B, Su C.
europepmc   +1 more source

A highly accurate, low‐cost method for detecting and quantifying soybean leaf flipping phenotype during drought stress

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract A genome‐wide association study (GWAS) using digital images was conducted to delineate regions of the genome that govern the leaf flipping quantitative trait in soybean (Glycine max (L.) Merr). However, converting the digital data to numerical scores for downstream analyses was challenging.
Mohammad Anisur Rahaman, Atit Parajuli, Adnan Hossain Khan, Liang Dong, Madan K Bhattacharyya   +4 more
wiley   +1 more source

Integrating image-based phenotyping and QTL mapping to enhance genetic resistance and accelerate breeding for bacterial grain rot resistance in rice. [PDF]

Theor Appl Genet
Park JR, Lee G, Lee HS, Lee SY, Ha SK, Kang K, Jin M, Suh JP, Seo J, Choi YM, Lee BC, Park HS.   +11 more
europepmc   +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

QTL mapping for hundred-seed weight in soybean using high-density SLAF-seq technology. [PDF]

BMC Plant Biol
Zhang C, Hong H, Yuan R, Zhao K, Zha B, Lamlom SF, Xia X, Ren H, Qiu L, Wang J.   +9 more
europepmc   +1 more source

BerryBox: An affordable computer vision system for postharvest phenotyping of cranberry and other small fruits

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart, Collins Wakholi, Devin A. Rippner, John H. Price, Kayla R. Altendorf, Garett C. Heineck, Juan Zalapa, Jenyne Loarca, Gina M. Sideli   +8 more
wiley   +1 more source

QTL mapping for young leaf color trait in eggplant (<i>Solanum melongena</i> L.) using BSA-seq. [PDF]

Front Genet
Hu F, Zhang S, Li C, Yuan F, Song Z, Hu K, Cheng J.   +6 more
europepmc   +1 more source

Advancing Thermotolerance in Beans: Integrating Physiology, Genomics, and Breeding for Climate Adaptation

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Rising global temperatures increasingly threaten bean production and the food security of millions of people who depend on these protein‐rich legumes. Heat stress during the reproductive stages induces pollen sterility, flower abscission, and disruptions in source–sink relationships, resulting in yield losses of 30%–40% or more when critical ...
Aastha Sharda, Shikha Chaudhary, Bhawna Kumari, Uday C. Jha, Mohar Singh, Inderjit Singh, Kamal Dev Sharma, Kadambot H. M. Siddique, P. V. Vara Prasad, Harsh Nayyar   +9 more
wiley   +1 more source