Results 191 to 200 of about 19,880,174 (348)

On the equivalence between marker effect models and breeding value models and direct genomic values with the Algorithm for Proven and Young. [PDF]

Genet Sel Evol, 2022
Bermann M, Lourenco D, Forneris NS, Legarra A, Misztal I.   +4 more
europepmc   +1 more source

Quality-Oriented Technical Change in Japanese Wheat Breeding [PDF]

The article presents a productivity analysis of Japanese Wheat Breeding research. Given recent policy change, wheat breeders may breed high quality, i.e. high protein content, wheat.
Fujii, Yoko, Osanami, Fumio, Kondo, Takumi   +2 more
core  

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics. [PDF]

Front Plant Sci, 2022
du Toit F, Coops NC, Ratcliffe B, El-Kassaby YA.   +3 more
europepmc   +1 more source

Milk protein concentration, estimated breeding value for fertility, and reproductive performance in lactating dairy cows.

Journal of Dairy Science, 2017
J. Morton, M. Auldist, M. L. Douglas, K. Macmillan   +3 more
semanticscholar   +1 more source

Understanding and Mitigating the Risk of Accelerated Biological Aging in Survivors of Cancer: A Scoping Review

Aging and Cancer, EarlyView.
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi, Emily Herdman, Danielle Westmark, Vijaya R. Bhatt   +3 more
wiley   +1 more source

Оценка урожайности перспективных линий сои селекции ФГБНУ «АНЦ «Донской»

Зерновое хозяйство России, 2018
The estimation of productivity of the promising lines of soybean developed by the FSBSI “ARC ‘Donskoy” The article presents the material concerning the estimation of productivity of the promising lines of soybean developed by the FSBSI “ARC ‘Donskoy ...
A. R. Ashiev, K. N. Khabibullin, M. V. Skulova, A. V. Chegunova   +3 more
doaj  

Verifying the Breeding Value of A Rare Haplotype of Chalk7, GS3, and Chalk5 to Improve Grain Appearance Quality in Rice. [PDF]

Plants (Basel), 2022
Wang D, Wang J, Sun W, Qiu X, Yuan Z, Yu S.   +5 more
europepmc   +1 more source

Productivity Progress in Sugar Beet Production - With Special Emphasis on the Contribution of Breeding [PDF]

Sugar beet production during the past 50 years has been characterised by remarkable progress in productivity. In this contribution the influence of the different production factors on productivity and value added growth is analysed by regarding input and
Zeddies, Jurgen, Zimmermann, Beate
core  

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source