Results 121 to 130 of about 2,485,196 (302)

First report on the soil seed bank damage due to fire at the Rohingya refugee camps in Bangladesh

JSFA reports, EarlyView.
Abstract Background The composition, density, and damage of the soil seed bank were studied at Kutupalong Rohingya refugee camp (the world's largest refugee settlement), Ukhiya, Cox's Bazar, Bangladesh, after a major human‐induced fire on March 22, 2021, causing huge damage to human lives, settlements, and the ecosystem.
Mohammad Golam Kibria, Md. Hosenuzzaman, Md. Shamsuzzoha, Md. Anwarul Abedin   +3 more
wiley   +1 more source

Fine mapping a quantitative trait locus underlying seedling resistance to gummy stem blight using a residual heterozygous lines-derived strategy in cucumber. [PDF]

Front Plant Sci, 2022
Han J, Dong S, Liu X, Shi Y, Beckles DM, Gu X, Miao H, Zhang S.   +7 more
europepmc   +1 more source

Ozonation as a promising approach to improve stored rice quality in Ghana

JSFA reports, EarlyView.
Abstract Background Two species of rice pests that are responsible for postharvest losses, the rice weevil (Sitophilus oryzae) and the Angoumois moth (Sitotroga cerealella), are major destructive pests responsible for paddy grain deterioration. A benchtop custom‐built model of ozone‐generating equipment from ozone generator DKM‐10GY, producing 2000 ppm
Timothy Amangdam Anemana, Mary Ann Alua, Melvin‐Guy Adonadaga, Boateng Ampadu   +3 more
wiley   +1 more source

Identification of Quantitative Trait Loci for Leaf Rust and Stem Rust Seedling Resistance in Bread Wheat Using a Genome-Wide Association Study. [PDF]

Plants (Basel), 2021
Zatybekov A, Genievskaya Y, Rsaliyev A, Maulenbay A, Yskakova G, Savin T, Turuspekov Y, Abugalieva S.   +7 more
europepmc   +1 more source

Height information acquisition method of seedling with machine vision

, 2015
In plant factory, transplanting as an important step of nursery seedling process, it is necessary to achieve its automation and intelligence. To improve the survival rate of seedling transplanting, the fitness of transplanting seeding need to be ...
Zhang WQ(张文强), Wenqiang Zhang, Wei Li, Li W(李伟), Yang ZY(杨振宇), Jianda Han, Zhenyu Yang, Han JD(韩建达)   +7 more
core   +1 more source

Nanoparticle classification and synthesis techniques: Implications for enhancing plant drought resistance

JSFA reports, EarlyView.
Abstract Recent advancements in technology have underscored the significance of the progression of nanotechnology and nanoscience. The growing use of nanotechnology in a variety of scientific and technical fields has contributed to improving contemporary living.
Kaleem ul din, Nimra Khalid, Ilkay Yavas, Muhammad Shahbaz Naeem, Ejaz A. Waraich, Tahir Hussain Awan, Muhammad Irfan, Qaiser Mahmud, Saddam Hussain   +8 more
wiley   +1 more source

Quantitative Trait Loci Mapping of Adult Plant and Seedling Resistance to Stripe Rust (Puccinia striiformis Westend.) in a Multiparent Advanced Generation Intercross Wheat Population. [PDF]

Front Plant Sci, 2021
Rollar S, Geyer M, Hartl L, Mohler V, Ordon F, Serfling A.   +5 more
europepmc   +1 more source

Drought Resistance of Tropical Tree Seedlings

Pronounced changes of rainfall patterns, including more frequent and intense drought, are projected for the tropics. Seedlings are especially vulnerable to drought and provide the template for future forest composition. My colleagues and I combined observational, experimental, and mechanistic approaches to quantify drought effects on seedlings in the ...
openaire   +1 more source

A Rapid Seedling Based Screening Technique to Assay Tobacco for Resistance to Phytophthora nicotianae

, 2003
Black shank caused by Phytophthora nicotianae is a serious root and stem disease of cultivated tobacco worldwide. In this study, a rapid seedling-based screening technique was developed to evaluate tobacco cultivars for resistance to P. nicotianae . This
Van Jaarsveld, E., Drenth, A., A. Drenth, M. J. Wingfield, E. Van Jaarsveld, Wingfield, M. J.   +5 more
core   +1 more source

Image‐based and biochemical multimodal phenotyping for explainable classification of chia (Salvia hispanica L.) genotypes

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND This study developed an explainable machine learning framework integrating morphological, color, and biochemical characteristics for classifying chia (Salvia hispanica L.) genotypes. A dataset was assembled from 1200 seed images spanning four genotypes, from which 17 morphological and color features were extracted.
Sevim Akcura, Irem Poyraz, Beyza Ciftci, Mahmut Kaplan   +3 more
wiley   +1 more source