Results 261 to 270 of about 111,053 (345)
Mitigating Cd stress in alfalfa: the role of melatonin and nano-calcium oxide in enhancing photosynthesis and antioxidant defense. [PDF]
Hussan MU +8 more
europepmc +1 more source
ABSTRACT Salt‐stress priming enhances the tolerance of plants against subsequent exposure to a similar stress. Priming‐induced transcriptomic reprogramming is mediated by multiple epigenetic mechanisms, the best known of which is histone modifications. However, not much is known about other epigenetic responses.
Wai‐Shing Yung +7 more
wiley +1 more source
The Stabilization of Carotene in Dehydrated Legumes (Alfalfa) and Cereal Grasses
A.W. Halverson, E.B. Hart
openalex +1 more source
MsDAD1 acts as a heat-induced "senescence brake" in alfalfa. [PDF]
Song Y +5 more
europepmc +1 more source
ABSTRACT Understanding the impact of microbial interactions on plants is critical for maintaining healthy native ecosystems and sustainable agricultural practices. Despite the reality that genetically distinct plants host multiple microbes of large effect in the field, it remains unclear the extent to which host genotypes modulate non‐additive ...
Amanda H. Rawstern +3 more
wiley +1 more source
Deciphering the Sodium Sensing Mechanisms in Glycophytes and Halophytes
ABSTRACT Plants, including halophytes (salt‐tolerant) and glycophytes (salt‐sensitive), have developed diverse molecular mechanisms and morphological adaptations to survive in saline environments. The cellular components and molecular processes for salinity sensing and stress tolerance have been extensively identified in glycophytes, but not so with ...
Rabia Areej Cheema +4 more
wiley +1 more source
The Relative Vitamin G Content of Alfalfa Meal
H. S. Wilgus, L.C. Norris, G.F. Heuser
openalex +1 more source
Chromosome-level genome assembly of Fusarium tricinctum, a fungal pathogen associated with root rot in alfalfa. [PDF]
Xu S, Sun X, Li X, Ma L, Fang X.
europepmc +1 more source
Integrating Load‐Cell Lysimetry and Machine Learning for Prediction of Daily Plant Transpiration
ABSTRACT We conducted research to predict daily transpiration in crops by utilising a combination of machine learning (ML) models combined with extensive transpiration data from gravimetric load cells and ambient sensors. Our aim was to improve the accuracy of transpiration estimates.
Shani Friedman +3 more
wiley +1 more source

