Results 71 to 80 of about 6,222 (255)

Nitrogen rate influences on protein concentration, yield, and NDVI in spring wheat following pea and cover crop mixture

open access: yesAgrosystems, Geosciences &Environment, Volume 8, Issue 4, December 2025.
Abstract High‐protein wheat (Triticum aestivum L.) grain is useful for bread flour, and normalized difference vegetation index (NDVI) can be useful in predicting crop yields and assessing overall crop health in response to a wide variety of management systems.
Drew A. Scott   +5 more
wiley   +1 more source

Peroxidase from proso millet exhibits endonuclease-like activity

open access: yesActa Biochimica et Biophysica Sinica, 2019
In this study, the mechanism of DNA cleavage by cationic peroxidase from proso millet (PmPOD) was investigated. PmPOD cleaved supercoiled circular DNA into both nicked circular and linear forms via a cleavage mechanism that resembles those of native endonucleases.
Xiaodong, Cui   +4 more
openaire   +2 more sources

Process optimization and characterization of ragi‐based probiotic camel milk drink for enhanced functionality

open access: yesFood Biomacromolecules, Volume 2, Issue 4, Page 437-450, December 2025.
Abstract A ragi‐based probiotic camel milk drink (RPCD) had been developed employing two different probiotic bacteria, Lacticaseibacillus rhamnosus NCDC347 (RPCD‐LGG) and Limosilactobacillus fermentum NCDC141 (RPCD‐LF). The product was optimized using a two‐factor Central Composite Rotatable Design to enhance its sensory and antioxidant properties. The
Aayushi Mishra   +6 more
wiley   +1 more source

Diversity and trait-specific sources for productivity and nutritional traits in the global proso millet (Panicum miliaceum L.) germplasm collection

open access: yesCrop Journal, 2018
Proso millet is an important short-duration crop that adapts well to varied climatic conditions and is grown worldwide for food, feed and fodder purposes.
Mani Vetriventhan, Hari D. Upadhyaya
doaj   +1 more source

Global dataset of monthly growing areas of 26 irrigated crops : version 1.0 [PDF]

open access: yes, 2008
A data set of monthly growing areas of 26 irrigated crops (MGAG-I) and related crop calendars (CC-I) was compiled for 402 spatial entities. The selection of the crops consisted of all major food crops including regionally important ones (wheat, rice ...
Bauer, Christian   +3 more
core  

Effect of Hydrothermal Treatment on the Functional and Physicochemical Properties of African Yam Bean (Sphenostylis stenocarpa) and Cassava (Manihot esculenta) Starch Blend

open access: yesLegume Science, Volume 7, Issue 4, December 2025.
ABSTRACT Blending starches from different sources is essential to meet the increasing demand for natural products. The structure, physicochemical properties, and specific functional characteristics of hydrothermally treated African yam bean starch combined with cassava starch were investigated.
Opeyemi O. Alabi, Eric O. Amonsou
wiley   +1 more source

Iron Bioavailability from Little Millet and Proso Millet Based Recipes

open access: yesInternational Journal of Current Microbiology and Applied Sciences, 2017
The present study entitled ‘‘Bioavailability of iron from little millet and proso millet based recipes’’ was conducted on four millet preparations namely dosa, idli, roti and rice, using two millets namely little millet and proso millet. The iron content of millets was 2.60g, 7.0g, in little millet, proso millet.
M. Mounika   +2 more
openaire   +1 more source

Off‐the‐shelf image analysis models outperform human visual assessment in identifying genes controlling seed color variation in sorghum

open access: yesThe Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract Seed color is a complex phenotype linked to both the impact of grains on human health and consumer acceptance of new crop varieties. Today, seed color is often quantified via qualitative human assessment or biochemical assays for specific colored metabolites.
Nikee Shrestha   +8 more
wiley   +1 more source

Diversidade genética de plantas daninhas revelada por AFLP. I. Proso Millet (Panicum miliaceum, L.). [PDF]

open access: yes, 2018
bitstream/CNPMS/16151/1/Com_71 ...
FIGUEIREDO, J. E. F.   +4 more
core   +1 more source

Multi‐layer root zone soil moisture estimation using field and remote sensing data fusion with machine learning in semi‐arid croplands

open access: yesVadose Zone Journal, Volume 24, Issue 6, November/December 2025.
Abstract This study aims to estimate multi‐layer soil moisture (SM) in 30‐cm increments up to 180 cm by integrating multimodal sub‐field and remote sensing data and applying machine learning algorithms. PlanetScope (optical sensor) data, climatic variables, and in situ soil properties were used as input features to estimate SM at 3‐m spatial resolution.
Manoj Lamichhane   +2 more
wiley   +1 more source

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