Results 241 to 250 of about 138,794 (342)

Triticum aestivum L. PK 33142

, 2015
GLIS of the ITPGRFA
openalex   +1 more source

Hybrid kernels integrating genomic and multispectral data improve wheat genomic prediction accuracy

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Genomic selection (GS) is transforming plant breeding by enabling more accurate and efficient identification of superior genotypes. However, its practical implementation remains challenging, as achieving high prediction accuracy is critical for its success. Several factors—including sample size, the degree of relatedness among individuals, and
Osval A. Montesinos‐López, Joel A. Martínez‐Regalado, Cintia Leonora Murillo‐Avalos, Andrew W. Herr, Abelardo Montesinos‐López, Iván Delgado‐Enciso, Jaime Cuevas, José Crossa, Arron H. Carter   +8 more
wiley   +1 more source

Drought tolerance of the photosynthetic apparatus of bread wheat (Triticum aestivum L.) lines with introgressions in chromosome 2D from Aegilops tauschii Coss. [PDF]

Vavilovskii Zhurnal Genet Selektsii
Osipova SV, Permyakov AV, Rudikovskii AV, Rudikovskaya EG, Pshenichnikova TA.   +4 more
europepmc   +1 more source

Triticum aestivum L. PK 11563

, 1986
GLIS of the ITPGRFA
openalex   +1 more source

Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean (Glycine max) yield case study

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract To improve the identification of minor‐effect molecular markers and genes associated with quantitative traits, addressing inefficiencies in traditional molecular marker mining and the limited impact of these markers in practical breeding, we analyzed over 15,000 soybean (Glycine max) genotypes across nine maturity groups using an AI‐driven ...
Wei Zhou, Haoyong Ouyang, Zhengxiao Yan, Jiayi Song, Yichan Li, Zhou Tang, Chang Zhao   +6 more
wiley   +1 more source

Correction: Detection and characterization of fungus (Magnaporthe oryzae pathotype Triticum) causing wheat blast disease on rain-fed grown wheat (Triticum aestivum L.) in Zambia. [PDF]

PLoS One
Tembo B, Mulenga RM, Sichilima S, M'siska KK, Mwale M, Chikoti PC, Singh PK, He X, Pedley KF, Peterson GL, Singh RP, Braun HJ.   +11 more
europepmc   +1 more source

Triticum aestivum L. subsp. aestivum MGB 5729

, 2004
GLIS of the ITPGRFA
openalex   +1 more source

Extensive phenotyping and genome‐wide analysis of grain number‐related traits in a diverse wheat core collection

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Bread wheat (Triticum aestivum L.) is one of the most important staple crops globally. Grain number per spikelet (GPS) is an important yield component in wheat. It is influenced by floret number per spikelet (FPS) and floret fertility. Through three consecutive years of observation of FPS, GPS, and floret fertility per spikelet (FFPS) in a ...
Zhuo Su, Shun Sakuma, Miyuki Nitta, Yasir S. A. Gorafi, Shuhei Nasuda   +4 more
wiley   +1 more source

Physiological and biochemical responses of wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) to combined exposure of Pharmaceuticals, personal care products (PPCPs), and artificial sweeteners (ASs). [PDF]

BMC Plant Biol
Elveren M.
europepmc   +1 more source

Influence of Various Methods of Sowing and Organic Manures on the Productivity of Wheat (Triticum aestivum L.)

Bandi Gnana Prakash, Joy Dawson, K. Naveena, Reddy Vinay Kumar Reddy   +3 more
openalex   +2 more sources