Results 141 to 150 of about 39,669 (258)

Potencial terapêutico de formulações otológicas compostas por Triticum aestivum, Bixa orellana, Tris-EDTA e N-acetilcisteína no tratamento de otite externa canina

Ciência Animal Brasileira
Objetivou-se avaliar a eficiência de três soluções otológicas a base de extratos vegetais e adjuvantes no tratamento da otite externa canina. Foram desenvolvidas três diferentes soluções oto lógicas 1003 composta por extratos etanólicos de Triticum ...
Risciela Salardi Alves de Brito, Giulia Batista de Freitas, Antônio Gonçalves de Andrade Júnior, Rogério Antônio Freitag, Renato Vianna, Fábio Raphael Pascoti Bruhn, Sérgio Jorge, Márcia de Oliveira Nobre   +7 more
doaj  

Integrating multitrait physiological approaches to characterize salinity tolerance in bread wheat (Triticum aestivum L.) genotypes. [PDF]

BMC Plant Biol
Khan MM, Karim MA, Haque MM, Mia MAB, Barma NCD, Znazen H, Gaber A, Hossain A.   +7 more
europepmc   +1 more source

Root trait dynamics of historical canola varieties under low and high nitrogen supply

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Nitrogen fertilizer is a major input cost in crop production, making it crucial to enhance nitrogen use efficiency (NUE) to reduce fertilizer dependence without compromising yields. Root system architecture (RSA) is a key determinant of nutrient acquisition, particularly under nutrient‐limited conditions.
Shankar Pahari, Raju Soolanayakanahally
wiley   +1 more source

Biochar-mediated improvements in soil fertility and wheat (Triticum Aestivum L.) productivity in the Indo-Gangetic Plains. [PDF]

BMC Plant Biol
Sharma G, Gupta RK, Nishihara E, Inubushi K, Sudo S, Hayashida S, Mehta CM, Al-Dosary MA, Alamri S, Hussan MU, Siddiqui MH.   +10 more
europepmc   +1 more source

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod, Andrew W. Herr, Pia M. Spychalla, Ian C. Burke, Arron H. Carter   +4 more
wiley   +1 more source

The transfer of 98% of the genome of Aegilops mutica into wheat (Triticum aestivum). [PDF]

Theor Appl Genet
King J, Grewal S, Yang C, Scholefield D, Ashling S, Othmeni M, Hawkins K, King IP.   +7 more
europepmc   +1 more source

Assessing double‐crop soybean management practices in central Illinois

Crop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.
Giovani Preza Fontes, Dan Schaefer, Eric Miller, John Jones   +3 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

SLAF-seq efficiently identifies SNP markers for wheat (Triticum aestivum L.) improvement. [PDF]

BMC Genomics
Yang D, Liang H, Wang H, Sun S, Li G, Cui C, Lu Q, Xu R, Liu Y, Wang L, Liu C, Hao S, Gao X.   +12 more
europepmc   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source