Results 111 to 120 of about 270,110 (238)

Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Ascochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high‐throughput evaluation of plant–pathogen interactions in genotypes which can serve as sources of resistance.
Florian Tanner   +9 more
wiley   +1 more source

Finger Millet Growth and Nutrient Uptake Is Improved in Intercropping With Pigeon Pea Through “Biofertilization” and “Bioirrigation” Mediated by Arbuscular Mycorrhizal Fungi and Plant Growth Promoting Rhizobacteria

open access: yesFrontiers in Environmental Science, 2018
Legume-cereal intercropping is well known in traditional dry land agriculture. Here, we tested whether finger millet, a shallow-rooted cereal, can profit from neighboring pigeon pea, a deep-rooted legume, in the presence of “biofertilization” with ...
Krishna Saharan   +6 more
doaj   +1 more source

MaizeEar‐SAM: Zero‐shot maize ear phenotyping

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Quantifying the variation in yield component traits of maize (Zea mays L.), which collectively determine the overall productivity of this globally significant crop, is critical to plant genetics research, plant breeding, and the development of improved agronomic practices.
Hossein Zaremehrjerdi   +8 more
wiley   +1 more source

Planting of ragi millet

open access: yes, 1986
A planting of finger (ragi) millet.
Claflin, Larry
core  

Effect of Germination on Functional Properties, Flow Properties, Physico- Chemical Properties, Proximate Composition and Pasting Properties of Finger Millet

open access: yesMadras Agricultural Journal
Millets are driven by their health benefits and potential to contribute to food security. Finger millet (Eleusine coracana L), commonly referred to as ragi, provides a rich source of essential nutrients, including calcium, dietary fiber, and various ...
M. Azroon Fahmeetha, P. Geetha
doaj   +1 more source

flexFitR and exploreHTP: Open‐source software to enable nonlinear modeling of plant growth from remote‐sensing imagery

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract In this study, we introduce two complementary R packages: exploreHTP and flexFitR. exploreHTP is a Shiny‐based graphical interface for extracting plot‐level data from remote‐sensing imagery, while flexFitR provides tools for nonlinear model‐fitting and trait derivation from time series.
Johan Steven Aparicio   +2 more
wiley   +1 more source

List of finger millet Calcium sensor genes and its similarity with its rice orthologs.

open access: yes, 2014
List of finger millet Calcium sensor genes and its similarity with its rice orthologs.
Muktesh Chandra (621682)   +3 more
core   +1 more source

Gene Discovery and Advances in Finger millet [Eleusine coracana (L.) Gaertn.] Genomics - An Important Nutri-cereal of Future

open access: yesFrontiers in Plant Science, 2016
The rapid strides in molecular marker technologies followed by genomics, and next generation sequencing advancements in three major crops (rice, maize and wheat) of the world have given opportunities for their use in the orphan, but highly valuable ...
Salej Sood   +8 more
doaj   +1 more source

'Rice,' 'sorghum,' 'pearl millet' and 'finger millet' in Nilo-Saharan

open access: yes, 2023
This study overviews the geographical distribution of the terms for four major types of crops cultivated in Africa, ‘rice,’ ‘sorghum,’ ‘pearl millet’ and ‘finger millet’ in Nilo-Saharan languages. Most Nilo-Saharan languages lack a native term for ‘rice,’ but a number of languages attest a loanword from Arabic or Swahili.
openaire   +2 more sources

Feasibility and pitfalls of combining small subpopulations for genome‐wide association analysis of maize (Zea mays L.) kernel traits

open access: yesThe Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Genome‐wide association studies (GWASs) typically require large populations to achieve sufficient statistical power; however, maintaining large populations is labor‐intensive and costly. In this study, we evaluated the feasibility of improving GWAS detection power by strategically integrating small maize (Zea mays L.) subpopulations for kernel‐
Myeong‐Geon Seok   +6 more
wiley   +1 more source

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