Isolation and Characterisation of Bacteria From an Extremely High Boron and Salinity-Tolerant Puccinellia distans (Jacq.) Parl. Rhizosphere and Their Potential Impact on the Growth of Bread Wheat (Triticum aestivum L.). [PDF]
Eken N +5 more
europepmc +1 more source
Impact of rice husk biochar and inorganic amendments on growth attributes of wheat (Triticum aestivum L.) [PDF]
Rema Barman +2 more
openalex
ABSTRACT This literature review examines the factors influencing the adoption of improved sweet potato varieties (ISPVs) in developing countries. Drawing on 17 studies conducted primarily in Africa and South Asia, the review categorizes influencing factors into socio‐economic, institutional, agronomic, post‐harvest, psychological, geographic ...
Hercidio Tandane +2 more
wiley +1 more source
Genome-wide association study of pre-harvest sprouting resistance and grain color in common wheat (Triticum aestivum L.). [PDF]
Chen L +10 more
europepmc +1 more source
Microphenomics is a new technique for detecting the very early resistance of powdery mildew in wheat seedlings, after 24, 48, and 72 h from infection. A number of 29, 42, and 34 genes models were identified to harbor significant SNP markers associated with the early resistance to WPM.
Amira M.I. Mourad +4 more
wiley +1 more source
Summary Chloroplast‐to‐nucleus retrograde signalling enables rapid stress responses in plants, but whether these signals accumulate to affect crop performance across entire growing seasons under field conditions remains unknown. We generated wheat mutants with targeted deletions in specific SAL gene copies from two distinct homeologous groups (TaSAL1 ...
Andrew F. Bowerman +13 more
wiley +1 more source
Genome-wide identification and characterization of ALKB homolog gene family in wheat (<i>Triticum aestivum L.</i>). [PDF]
Wang P +6 more
europepmc +1 more source
Molecular–physiological model integration revolutionizes cereal flowering prediction
Summary Rapid prediction and control of flowering time is essential for breeding crops resilient to changing climates. Current models often fail to predict flowering time in new cultivars because molecular models lack integration of environmental signals, while physiological models inadequately capture the interactions of vernalization, photoperiod and
Enli Wang +13 more
wiley +1 more source
Effects of Fe and Zn alone and combined treatment on Triticum aestivum L. seed germination. [PDF]
Zhang Z, Ma R, Tao Y, Wang Z, Yang Y.
europepmc +1 more source

