Results 221 to 230 of about 94,301 (316)

An integrated genetic approach prioritizes closely linked candidate genes underlying an open-field behavior QTL on chicken chromosome 1. [PDF]

Poult Sci
Ido A, Ochiai T, Terashima M, Ishikawa A.   +3 more
europepmc   +1 more source

Genetic Diversity of Agronomic Traits and Identification of Genes Regulating Thousand‐Grain Weight in Foxtail Millet (Setaria italica) Germplasm Resources

Food and Energy Security, Volume 15, Issue 5, September/October 2026.
ABSTRACT Thousand‐grain weight (TGW) is a critical determinant of grain yield in foxtail millet. To elucidate the molecular regulatory network governing this trait, we systematically evaluated the main agronomic traits and genetic diversity of 40 core germplasm accessions, aiming to identify elite genetic resources.
Wei Zhang, Chengyu Peng, Juanling Wang, Haiying Zhang   +3 more
wiley   +1 more source

Identification of genomic regions and candidate genes associated with soybean seed sugars in a RIL population. [PDF]

Front Plant Sci
Bellaloui N, Smith JR, Ray JD, Kumar N, Abdelraheem A, Feng C, Mengistu A.   +6 more
europepmc   +1 more source

Groundnut Improvement for Aflatoxin Resistance: Progress and Opportunities

Food and Energy Security, Volume 15, Issue 5, September/October 2026.
ABSTRACT Groundnut, or peanut, is an industrial oilseed crop that serves the food and feed industries and provides income along the value chain. Pre‐ and post‐harvest aflatoxin contamination, caused by Aspergillus spp., hinders the food and feed value and market opportunities of groundnut products. Developing and deploying aflatoxin‐resistant varieties
Tullu Tadessa Asefa, Hussein Shimelis, Janila Pasupuleti, Seltene Abady Tesfamariam   +3 more
wiley   +1 more source

<i>Post-hoc</i> permutation GWAS refinement reveals robust marker-trait associations in faba bean. [PDF]

Front Plant Sci
Mouritzen TW, Bornhofen E, Jayakody T, Skovbjerg CK, Kærgaard Nielsen L, Schiemann A, Knudsen JCN, Füchtbauer WS, Orabi J, Janss L, Andersen SU.   +10 more
europepmc   +1 more source

Molecular Mechanisms and Regulation of Anthocyanin Biosynthesis in Rosaceae Fruits: A Review

Food Science &Nutrition, Volume 14, Issue 9, September 2026.
Five‐tiered regulatory network governing anthocyanin biosynthesis in Rosaceae fruits, integrating environmental signals, epigenetic/transcriptional control, flavonoid metabolism, pigment trafficking and breeding translation. This review elaborates layered regulatory networks underlying anthocyanin production in core Rosaceae crops (Malus, Pyrus ...
Menghua Luo, Wanjia Tang, Xiaoqing Yuan, Can Hu   +3 more
wiley   +1 more source

Identification and Fine Mapping of <i>qCD2</i>, a Major QTL Governing Leaf Premature Senescence in Rice (<i>Oryza sativa</i> L.). [PDF]

Biology (Basel)
Yuan B, Wu J, Yang Y, Zhang K, Ren J, Liu J, Wang J.   +6 more
europepmc   +1 more source

Microbiome‐mediated plant‐soil feedbacks as a tool for resilient agriculture

iMetaOmics, Volume 3, Issue 3, September 2026.
Translating plant‐soil feedbacks (PSFs) into reliable agricultural management requires shifting from input‐dependent practices toward endogenous, process‐driven crop resilience. To bridge this gap, we propose a predictive framework centered on three strategic interventions: engineering the crop holobiont, diversifying the soil habitat, and deploying ...
Muhammad Asif, Hazrat Bilal, Min Xiao, Lei Dong, Wen‐Jun Li   +4 more
wiley   +1 more source

Genome shuffling enables quantitative trait locus mapping in Bacillus subtilis. [PDF]

Nat Commun
Vasileva DP, Chhetri HB, Hochanadel LH, Streich JC, Lagergren JH, Lane MJ, Mhatre A, Sacko O, Allemann MN, Oksuz E, Carper DL, Rubino B, Chitwood S, Schmitz ZD, Klingeman DM, Abraham PE, Giannone RJ, Jacobson DA, Michener JK.   +18 more
europepmc   +1 more source

Beyond the Classics: The Synergy of AI and Genomics Reveals an Expanded Repertoire of Pigmentation Genes

Journal of Experimental Zoology Part B: Molecular and Developmental Evolution, Volume 346, Issue 6, Page 475-486, September 2026.
Classical approaches for coloration analysis are limited by human low‐resolution phenotyping and genetic analysis. Artificial intelligence allows us to find genes beyond the tip of the iceberg that explain color and pattern diversity in nature. ABSTRACT Pigmentation has long served as a powerful system for exploring gene–trait relationships, yet much ...
Ehsan Pashay Ahi, Nidal Karagic
wiley   +1 more source