Genetic Diversity within Snap Beans and Their Relation to Dry Beans [PDF]
Genes, 2018 Two hundred forty-six snap bean genotypes and 49 dry beans representing both centers of domestication and six bean races with materials from Europe, Asia, and the Americas were genotyped using a single nucleotide polymorphism (SNP) array. The data was analyzed for expected heterozygosity, K-means clustering, principal components, phylogenetic ...
Lyle Wallace +3 more
europepmc +4 more sources
Genomic resources to advance seed coat color and patterning genetics and breeding in common bean (Phaseolus vulgaris L.) [PDF]
The Plant Genome, Volume 19, Issue 3, September 2026.Abstract Seed coat color and patterning are key quality traits in common bean (Phaseolus vulgaris L.) that define market classes and strongly influence consumer preference and market value. These traits are controlled by a complex network of major genes (sometimes with epistatic interactions), which complicates the recovery of desired market class ...
Jayanta Roy +5 more
wiley +2 more sources
Cucurbit Leaf Crumple Virus: An Important Pathogen of Cucurbit and Snap Bean Crops [PDF]
Molecular Plant Pathology, Volume 27, Issue 9, September 2026.Cucurbit leaf crumple virus (CuLCrV) is an emerging pathogen in the New World. High whitefly abundance and transmission efficiency, mixed infections, weed reservoirs and limited host resistance challenge cucurbit and snap bean production. ABSTRACT Taxonomy Cucurbit leaf crumple virus (CuLCrV); Begomovirus cucurbitae; Geminiviridae; Geplafuvirales ...
Dalvir Kaur Dhadly +6 more
wiley +2 more sources
Identification of broadly expressed nervous system‐related genes as effective RNAi targets in the brown marmorated stink bug, Halyomorpha halys [PDF]
Pest Management Science, Volume 82, Issue 10, Page 9870-9878, October 2026.Broadly expressed genes outperformed brain‐enriched neural targets as RNAi candidates in Halyomorpha halys. Microinjection of dsRNA targeting alpha‐soluble NSF attachment protein (Asnap) or Ras opposite protein (Rop) caused strong feeding suppression and near‐complete mortality, identifying them as promising targets for future oral or spray‐based RNAi ...
Nirakar Panda +2 more
wiley +2 more sources
Horticultural performance and QTL mapping of snap bean (Phaseolus vulgaris L.) populations with organic and conventional breeding histories [PDF]
Frontiers in Plant ScienceIntroductionImproving crop cultivars for use on organic farms is pertinent, as current elite germplasm is less resilient within the more variable context of organic farm environments.
Hayley E. P. Richardson +3 more
doaj +2 more sources
Effects of inoculation with rhizobium and nitrogen fertilizer on snap beans, soybeans and lima beans [PDF]
The responses of 'Oregon 1604' snap beans (Phaseolus vulgaris L.), 'Early Thorogreen' lima beans (Phaseolus lunatus L.), and 'Takii's Extra Early' soybeans (Glycine max L.) to two methods of inoculation with rhizobium (seedcoating and furrow treatments ...
Ma, Mei-hwa Wang
core +6 more sources
Snap Bean Soil Fertility Program in Miami-Dade County
EDIS, 2015 In terms of acreage, snap beans are the most commonly grown vegetable in Miami-Dade County. This 4-page fact sheet outlines the impact of fertilizer use and local weather and soil on snap bean production in this region. Written by Monica Ozores-Hampton,
Monica Ozores-Hampton +2 more
doaj +5 more sources
HortScience, 1992 `Blue Ridge' snap beans were planted with no fertilizer or banded rates of 560 kg ha -1 of a 10-4.4-8.3 fertilizer on soils with medium fertility in 1990 and 1991. Foliar applications of water soluble fertilizers containing nitrogen, phosphorus, and potassium were made at early bloom and in ...
C. A. Mullins, R. A. Straw
openaire +1 more source
A Summary of N, P, and K Research with Snap Bean in Florida
EDIS, 2010 Revised! SL331, a 15-page illustrated fact sheet by George Hochmuth and Ed Hanlon, summarizes the historical Florida research literature on nitrogen, phosphorus, and potassium fertilization of snap beans. Includes references.
George Hochmuth, Ed Hanlon
doaj +5 more sources
Legume Fingerprinting through Lipid Composition: Utilizing GC/MS with Multivariate Statistics
Foods, 2023 This study presents a tentative analysis of the lipid composition of 47 legume samples, encompassing species such as Phaseolus spp., Vicia spp., Pisum spp., and Lathyrus spp.
Marko Ilić +6 more
doaj +1 more source