Results 151 to 160 of about 35,110 (266)

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 QTL mapping with transcriptome analysis uncovers candidate genes of ear length in maize. [PDF]

BMC Plant Biol
Hou B, Zhu Y, Chen G, Xiu Y, Chen C, Hu S, Liu Z, Huzaifa N, Tudi A, Teng F, Zhang Z, Zhao Z, Kong G, Jia H, Pan Z.   +14 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

Applying gradient tree boosting to QTL mapping with Shapley additive explanations. [PDF]

Breed Sci
Ishibashi T, Onogi A.
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, breeding, and debugging Saccharomyces cerevisiae strains through Reiterated Mass Selection and backcrosSing (ReMaSSing). [PDF]

Biotechnol Biofuels Bioprod
de Bem LS, Barreto JA, de Souza DT, Jordan DO, de Souza SFD, Marin DC, Da Silva JJ, Brienzo M, Dos Santos LV, Rabelo SC, Margarido GA, Gross J, Jacobus AP.   +12 more
europepmc   +1 more source

Genomic Innovations in High‐Oil Soybean Breeding: Overcoming Yield Barriers and Climate Resilience Challenges

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Soybean (Glycine max L.) is the world's most important oilseed crop, supplying 25% of world‘s edible oil and 66% of feed protein. This review address genomic innovations to overcome yield constraints and climate vulnerability (especially drought stress) in high‐oil soybean breeding.
Mujeeb Ur Rehman, Muhammad Azam, Muhammad Ahsan, Azhar Iqbal, Lili Yu, Jhon Larzabal, Juan E. Rosas, Li‐Juan Qiu   +7 more
wiley   +1 more source

QTL Mapping and RNA-Seq Revealed Loci and Candidate Genes Associated with Cold Tolerance of Wheat Root at Seedling Stage. [PDF]

Genes (Basel)
Liu X, Si C, Xi J, Qiao L, Zheng X, Zhao J.   +5 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

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